Data & Analytics

App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.

Set up Promptbook — connect your account to start tracking builds. Use when the user wants to enable session analytics on promptbook.gg. Trigger with "/setup" or "set up promptbook".

Comprehensive management for self-hosted media stacks (Sonarr, Radarr, Lidarr, Readarr, Prowlarr, Bazarr, Overseerr, Plex, Tautulli, SABnzbd, Recyclarr, Unpackerr, Notifiarr, Maintainerr, Kometa, FlareSolverr). Deep library exploration, analytics, dashboard generation, content management, request handling, subtitle management, indexer control, download monitoring, quality profile sync, library cleanup automation, notification routing, collection/overlay management, and media tracker integration (Trakt, Letterboxd, Simkl).

Messy notes → Clear action items. Instantly. Paste any meeting notes, transcript, or text. Get summaries, action items with owners and deadlines. Auto-saved, searchable, with integrated to-do tracking. No bot. No subscription. No setup.

One Go binary for every Dutch location workflow — geocode, reverse-geocode, batch CSVs, full GeoJSON geometries,... Trigger phrases: `geocode a Dutch address`, `find the gemeente for this lat/lon`, `convert RD coordinates to WGS84`, `look up a Dutch postcode`, `batch geocode a CSV of Dutch addresses`, `find the nearest address to this point in the Netherlands`, `use pdok-location`, `run pdok-location`.

Every Discovery v2 endpoint plus offline search, multi-venue watchlists, residency dedup, and on-sale tracking no... Trigger phrases: `what concerts in <city> this weekend`, `what's playing at <venue>`, `where is <artist> playing`, `presale watch`, `ticketmaster events`, `use ticketmaster`, `run ticketmaster`.

Every Strava feature, plus offline analytics — training load, power curves, zone time Trigger phrases: `strava training load`, `check my CTL ATL`, `power curve from Strava`, `sync my Strava activities`, `segment progression strava`, `use strava-pp-cli`, `run strava cli`.

Every OpenSnow forecast, snow report, and Daily Snow post — plus powder scoring, storm tracking, and historical trends no other tool has. Trigger phrases: `check snow conditions`, `how much snow at alta`, `powder forecast this week`, `compare ski resorts`, `daily snow report`, `use opensnow`, `run opensnow`.

Use LawHub PP CLI for LSAT practice-test analytics: sync authenticated LawHub score metadata, inspect attempts, rank weaknesses by question type/section, add user-authored review notes, and open official LawHub review links without storing LSAT question content. Trigger phrases: lawHub LSAT analytics, sync LSAT practice tests, LSAT weaknesses, wrong answer review, LawHub review link, lawhub-pp-cli.

AI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching. Use for creating habits, logging completions naturally ("I meditated today"), viewing progress, and getting personalized coaching.

Comprehensive daily performance review with communication tracking, meeting analysis, output metrics, and focus time monitoring. Your AI performance coach.

Maximize deep work with focus sessions, distraction logging, and productivity tracking

Creates new projects in CCGG Business Operations with all required mechanisms automatically implemented. Ensures PARENT SYSTEM INTEGRATION, operations logging, strategic alignment, and cross-project intelligence are properly configured. Handles both simple projects (standard structure) and complex projects (with coordination hubs and dependency tracking). Use for: creating new incubator project, adding sub-project to CCGG, initializing project structure, setting up project coordination, ensuring PARENT SYSTEM INTEGRATION implemented, generating CLAUDE.md with all mechanisms, creating Active Projects Index entry. Trigger terms: create project, new project, initialize project, set up project, add sub-project, project structure, CCGG project creation.

IoT-based material tracking for construction sites. Monitor material delivery, storage conditions, usage, and inventory with sensors, RFID, GPS, and real-time dashboards.

Model cap tables, dilution scenarios, and vesting schedules for startups. Use when planning fundraising, pricing options, or tracking equity.

Session log provenance tracking. TRIGGERS - who created, trace origin, session archaeology, ADR reference.

Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.

Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Supports both basic forecasting and advanced covariate forecasting (XReg) with dynamic and static exogenous variables. Automatically checks system RAM/GPU before loading the model, validates dataset fit before processing, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model and handle your specific dataset.

Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.

Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.

Installs and configures project infrastructure including MkDocs Material intelligent textbook templates, learning graph viewers, and skill tracking systems. Routes to the appropriate installation guide based on what the user needs to set up.

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

Use this skill when optimizing app store listings, researching keywords, or tracking mobile app performance on Apple App Store and Google Play Store.

Data analysis, visualization, and storytelling skill for financial and RevOps contexts. Use when: analyzing revenue data, building forecasts, cohort analysis, churn modeling, pipeline analytics, creating data-driven reports, building dashboards, cleaning messy data, sanity-checking analytical claims, exporting to Excel with formulas, or extracting data from PDFs. Features decision logging, bias-aware interpretation, and progressive disclosure (slide deck -> detailed report -> full notebook with all decisions documented).

Build multi-phase AI development pipelines with the Smithers workflow engine (v0.8.2). Use when: (1) Initializing a new Smithers project in a target directory (use the init CLI) (2) Adding phases or steps to existing workflows (3) Implementing review loops, pass tracking, or phase gating (4) Debugging workflow orchestration issues (Ralph loops, ctx.output, data threading) (5) Writing instruction MDX files for project configs (6) Configuring agents or per-role overrides

Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches. Triggers include "deep research", "comprehensive analysis", "research report", "compare X vs Y", or "analyze trends". Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.

Analyze credit card statement CSV files, categorize transactions, and produce a markdown spending report with month-over-month comparison. Activate when the user says "analyze my credit card statement", "analyze cc statement", "spending analysis for YYYY-MM", "categorize my transactions", "credit card report", "analyze-cc-statements", or provides a month argument like "2026-03" in the context of credit card or transaction analysis.

Use when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation. Triggers on "deep research", "comprehensive analysis", "research report", "compare X vs Y", "analyze trends", or "state of the art". Not for simple lookups, debugging, or questions answerable with 1-2 searches.

Exploratory Data Analysis skill for CSV and parquet datasets with deterministic profiling, drift/anomaly scans, contract generation and validation, and optional memory writeback into skill-system-memory. The implementation is Polars-first (lazy scan for large files and early `--sample` head), includes high-cardinality guards for profile/importance/contract flows, and supports categorical correlation with Cramer's V. Use when building or reviewing tabular fraud/risk/data-quality workflows, profiling new datasets, checking leakage or drift, or saving/validating data contracts.

Templates, scripts, and examples for managing feature specifications in specs/ directory. Use when creating feature specs, listing specifications, validating spec completeness, updating spec status, searching spec content, organizing project requirements, tracking feature development, managing technical documentation, or when user mentions spec management, feature specifications, requirements docs, spec validation, or specification organization.

Authoring data collection forms in Excel for mobile surveys. XLSForm converts Excel files to XForms for ODK, KoBoToolbox, and similar platforms. Use for field surveys, data collection, conditional forms, GPS tracking, and offline data gathering.

Create, list, download, update, and delete CrowdStrike Falcon Next-Gen SIEM lookup files. Upload CSV or JSON files for use with the match() function in CrowdStrike Query Language (CQL) queries. Use this skill when asked to manage lookup files, upload CSV data to CrowdStrike, create reference tables for SIEM queries, or work with Falcon Next-Gen SIEM lookup file operations.

Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally generate locally and upload to volumes. Use when user mentions 'synthetic data', 'test data', 'generate data', 'demo dataset', 'Faker', or 'sample data'.

Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations.

Creates new projects in CCGG Business Operations with all required mechanisms automatically implemented. Ensures PARENT SYSTEM INTEGRATION, operations logging, strategic alignment, and cross-project intelligence are properly configured. Handles both simple projects (standard structure) and complex projects (with coordination hubs and dependency tracking). Use for: creating new incubator project, adding sub-project to CCGG, initializing project structure, setting up project coordination, ensuring PARENT SYSTEM INTEGRATION implemented, generating CLAUDE.md with all mechanisms, creating Active Projects Index entry. Trigger terms: create project, new project, initialize project, set up project, add sub-project, project structure, CCGG project creation.

Core DQL syntax rules, common pitfalls, and query patterns. Load this skill when you need to write, build, or fix a DQL query — it prevents syntax errors and guides correct usage. Covers fetch commands, data models, field namespaces, time alignment, entity patterns, metric discovery, and smartscape topology navigation. Trigger: "write a DQL query", "build me a query", "DQL syntax", "how do I query logs/spans/metrics in Dynatrace", "create a timeseries", "fix my DQL", "fetch logs", "smartscapeNodes", "query optimization". Do NOT use for explaining an existing query or answering Dynatrace product questions — those do not require query-construction guidance.

Conduct enterprise-grade financial research with multi-source synthesis, regulatory compliance tracking, and verified market analysis. Use when user needs comprehensive financial analysis requiring 10+ sources, verified claims, market comparisons, or investment research. Triggers include "financial research", "market analysis", "investment analysis", "due diligence", "financial deep dive", "compare stocks/funds", or "analyze [company/sector]". Do NOT use for simple stock quotes, basic company lookups, or questions answerable with 1-2 searches.

Conduct systematic academic literature reviews in 6 phases, producing structured notes, a curated paper database, and a synthesized final report. Output is organized by phase for clarity.

Create, analyze, proofread, and modify Office documents (.docx, .xlsx, .pptx) using the officecli CLI tool. Use when the user wants to create, inspect, check formatting, find issues, add charts, or modify Office documents.

Comprehensive test coverage analysis and improvement for Ruby and Rails applications using SimpleCov and SimpleCov Console formatter. Automatically runs coverage reports, identifies gaps, suggests tests, and enforces coverage standards. Integrates with RubyCritic for holistic code quality. Use when running tests, analyzing coverage, improving test suites, or setting up coverage tracking in Ruby/Rails projects.

Download and generate plots from Weights & Biases runs. Use when you need to: - List projects you have access to - List runs in a W&B project - Inspect available metrics for a run - Download existing plot images from a run - Generate line plots from metric history (loss, accuracy, etc.)

NASA Systems Engineering skill implementing NPR 7123.1D processes through 10 specialized agents. Use for requirements engineering, verification/validation, risk management, technical reviews, system integration, configuration management, architecture decisions, trade studies/exploration, quality assurance, and SE status reporting following mission-grade practices.

This skill should be used when the user asks to learn, practice, or be tested on global markets, trading, and finance interview topics. Common triggers include "teach me about swaps", "explain contango", "quiz me on rates", "mock interview Goldman S&T", "headline analysis", "walk me through yield curves", "explain carry trade", "test me on Greeks", "how do credit default swaps work", "mock interview for Balyasny", "prepare me for S&T behavioral", "why trading", "what should I know for my interview", "fit questions", "stock pitch", "market dashboard", "how do I research a stock", "equity due diligence", "how do hedge fund analysts work", or pasting Bloomberg/financial news headlines. It covers FICC (Fixed Income, Currencies, Commodities), Equities, Credit, Crypto, Macro Economics, Derivatives, market mechanics, S&T behavioral/fit interview prep, and practitioner workflows (equity research process, trade idea generation, risk management in practice). Target firms span hedge funds (Balyasny, Citadel, Point72), banks (Goldman S&T, JPM), asset managers (BlackRock, PIMCO), trading houses (Glencore, Trafigura), energy majors (Exxon, Shell), and crypto trading/market-making firms (Galaxy, Cumberland, Wintermute, QCP). It acts as a Socratic teacher that prioritizes practitioner-level knowledge over textbook answers — teaching how traders and PMs actually think, research, and make decisions rather than academic frameworks. Includes structured concept breakdowns with progressive hints, and Mock Interview mode for full interview simulation.

Guide for creating effective skills with built-in versioning and source tracking. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. This skill automatically creates a metadata.md file for tracking versions, changelog, and sources.

Create CLI plots from tabular data — 27 chart types from stdin/CSV/TSV. Use when generating bar, line, scatter, or box charts from DuckDB pipe output.

Monad tooling and infrastructure provider support directory. Use this skill whenever a developer asks which tools, services, or infrastructure providers support Monad (mainnet or testnet), or needs to find an RPC provider, block explorer, oracle, bridge, indexer, wallet, onramp, custody solution, analytics tool, toolkit, or wallet infrastructure provider for Monad. Also use when a developer asks "does X support Monad?" or "what providers are available for Y on Monad?". Covers all categories from the official Monad docs tooling page.

MUST USE when reviewing ClickHouse schemas, queries, or configurations. Contains 28 rules that MUST be checked before providing recommendations. Always read relevant rule files and cite specific rules in responses.

High-performance data analysis using Polars - load, transform, aggregate, visualize and export tabular data. Use for CSV/JSON/Parquet processing, statistical analysis, time series, and creating charts.

Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally generate locally and upload to volumes. Use when user mentions 'synthetic data', 'test data', 'generate data', 'demo dataset', 'Faker', or 'sample data'.

Use when a request involves Ethereum, the EVM, or blockchain systems. Applies to building, auditing, deploying, or interacting with smart contracts, dApps, wallets, or DeFi protocols. Covers Solidity development, contract addresses, token standards (ERC-20, ERC-721, ERC-4626, etc.), Layer 2 networks (Base, Arbitrum, Optimism, zkSync, Polygon), and integrations with DeFi protocols such as Uniswap, Aave, and Curve. Includes topics such as gas costs, contract decimals, oracle safety, reentrancy, MEV, bridging, wallets, querying data from onchain, production deployment, and protocol evolution (EIP lifecycle, fork tracking, upcoming changes).

Feature planning, specification, phased implementation, progress tracking, per-phase PRs, and archival workflow. Use when starting a new feature, creating spec documents, breaking work into phases, tracking progress, managing PRs, or archiving completed specs.

Improve decision quality by clarifying the real problem, exposing hidden assumptions, reasoning from fundamental facts, reducing unnecessary complexity, and ending with a cleaner recommendation or next step. Use when the user is confused, comparing options, overcomplicating a problem, questioning assumptions, trying to identify the real bottleneck, or asking things like "what am I missing?", "does this really have to be this way?", "what should I remove?", "what is the simplest explanation that still fits?", or "help me think this through".

Financial data from Yahoo Finance: stock/bond prices, credit analysis, macro dashboard, FX rates, ETF flows, fundamentals, and news. Use when the user asks about stock prices, bond yields, credit metrics, leverage ratios, debt/ebitda, interest coverage, macro indicators (VIX, DXY, treasury yields, oil, gold, BTC), LatAm FX (ARS, BRL, CLP, MXN, COP), ETF holdings, income statements, balance sheets, cash flow, financial news, options chains, dividend history, or analyst ratings/upgrades. Commands: yf price, yf quote, yf compare, yf credit, yf macro, yf fx, yf flows, yf history, yf fundamentals, yf news, yf search, yf options, yf dividends, yf ratings.

Dune CLI for querying blockchain and on-chain data via DuneSQL, searching decoded contract tables, managing saved queries, managing visualizations, managing dashboards, and monitoring credit usage on Dune. Use when user asks about blockchain data, on-chain analytics, token transfers, DEX trades, smart contract events, wallet balances, Ethereum/EVM chain queries, DuneSQL, visualizations, charts, dashboards, or says "query Dune", "search Dune datasets", "run a Dune query", "create a dashboard", or "manage dashboard".

Simplify and refine code for clarity, consistency, and maintainability while preserving all functionality. Focuses on recently modified code. Auto-invoke after implementation skills or on-demand.

Birdeye DeFi analytics with dual live access mode (apikey full coverage, x402 supported subset).

Comprehensive Asset Inventory & Coverage Tracker for LimaCharlie. Builds sensor inventories, detects coverage gaps (stale/silent endpoints, Shadow IT), calculates risk scores, validates telemetry health, and compares actual vs expected assets. Use for fleet inventory, coverage SLA tracking, offline sensor detection, telemetry health checks, asset compliance audits, or when asked about endpoint health, asset management, or coverage gaps.

Comprehensive toolkit for writing high-quality computer science research papers (conference, journal, thesis). Provides narrative construction guidance, sentence-level clarity principles (Gopen & Swan), academic phrasebank, CS-specific conventions, and section-by-section quality checklists. Use when assisting with academic paper writing, revision, or structure planning across all stages from drafting to submission.

Stronger By Science (SBS) program templates by Greg Nuckols. Activate when users ask about SBS programs, autoregulated training, training max systems, set threshold progression, reps to failure progression, last set RIR, program builder, or want to set up/run any of the 12 SBS spreadsheet programs.

Investigate incidents, debug performance issues, analyze logs, and manage observability resources in Dynatrace using the dtctl CLI. Use this skill whenever the user asks about error rates, latency spikes, service health, crash-looping pods, web vitals, SLO status, open problems, root cause analysis, log patterns, trace analysis, or building dashboards — even if they don't mention Dynatrace by name. Also covers DQL queries, workflow management, notebook and dashboard creation, settings configuration, and any operations against a Dynatrace environment.

Load when working with any katachi framework command. Provides workflow principles, status tracking conventions, and decision guidance. This skill establishes the collaborative context for all framework operations.

Scores completed OKR sets at cycle close with KR-level scoring per the canonical OKR type enum (committed | aspirational | learning | operational_health | compliance_or_safety), committed-vs-aspirational interpretation, evidence quality assessment, learning synthesis, and next-cycle recommendations. Refuses to retroactively change targets or shrink committed scope, average away guardrail KRs, treat 0.7 as success for committed or compliance_or_safety KRs, equate effort with impact, or use scores for individual performance. Hands off to iterate-lessons-log, iterate-retrospective, define-hypothesis, measure-dashboard-requirements, measure-instrumentation-spec, and foundation-okr-writer.

Compare and select investment vehicles including mutual funds, ETFs, index funds, and separately managed accounts. Use when the user asks about ETF vs mutual fund, expense ratios, fund tax efficiency, ETF creation/redemption, tracking error, or share class comparisons. Also trigger when users mention 'which fund should I buy', 'Vanguard vs Fidelity', 'index fund costs', '12b-1 fees', 'load vs no-load', 'SMA vs ETF', 'fund turnover ratio', 'securities lending', or ask how fees compound over time.

Track complex, multi-session work with dependency graphs using beads (beads) issue tracker. Use when work spans multiple sessions, has complex dependencies, or requires persistent context across compaction cycles. For simple single-session linear tasks, TodoWrite remains appropriate.

Edit and create Excel (.xlsx) files while preserving original formatting, merged cells, and styles. Use when working with Excel files, spreadsheets, .xlsx files, or when the user mentions editing Excel without destroying formatting.

Query blockchain data across 40+ chains using Flipside's AI agents. Use when working with blockchain data, crypto wallets, DeFi protocols, NFTs, token transfers, or on-chain analytics. Requires the Flipside CLI (https://docs.flipsidecrypto.xyz/get-started/cli).

Integrate digital health data sources (Apple Health, Fitbit, Oura Ring) and connect to WellAlly.tech knowledge base. Import external health device data, standardize to local format, and recommend relevant WellAlly.tech knowledge base articles based on health data. Support generic CSV/JSON import, provide intelligent article recommendations, and help users better manage personal health data.

Use when adding cross-cutting concerns to durable functions — structured logging or tracing across all functions, error tracking with Sentry, payload encryption for sensitive data, dependency injection of clients (DB, Stripe, etc.) into function handlers, custom telemetry, or behavior that should apply uniformly across many functions. Covers Inngest middleware lifecycle, creating custom middleware, dependencyInjectionMiddleware, @inngest/middleware-encryption, @inngest/middleware-sentry, and custom middleware patterns.

Write specifications at the right depth for any project. Progressive disclosure from quick Linear issues to full AI feature specs. Embeds Linear Method philosophy (brevity, clarity, momentum) with context engineering for AI features. Use for any spec work - quick tasks, features, or AI products.

Query VictoriaMetrics metrics via curl. Use when running PromQL/MetricsQL queries, discovering metrics/labels, checking alerts and rules, inspecting TSDB status, exporting raw data, checking metric usage statistics, or debugging relabeling/downsampling/retention configs. Triggers on: metric queries, PromQL, MetricsQL, label discovery, series exploration, cardinality checks, alert status, recording rules, active/top queries, export data, metric statistics, relabel debug, downsampling debug, retention debug, flags.

Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.

Use when the user mentions Jira tickets, issues, tasks, stories, bugs, sprints, epics, boards, or any project management activity involving Jira. Also trigger when users say "my tickets", "what am I working on", "create a bug", "move this to done", "assign this to me", "log time", "sprint progress", or "what's in the backlog". Trigger even without explicit "Jira" mention if context involves issue tracking or agile project management.

Simple Pomodoro timer for focused work sessions with session tracking and productivity analytics. Use when users request focus timers, ask about productivity patterns, or want to track work sessions over time. Demonstrates the System Skill Pattern (CLI + SKILL.md + Database).

Autonomous experiment loop for optimization research. Use when the user wants to: - Optimize a metric through systematic experimentation (ML training loss, test speed, bundle size, build time, etc.) - Run an automated research loop: try an idea, measure it, keep improvements, revert regressions, repeat - Set up autoresearch for any codebase with a measurable optimization target Implements the autoresearch pattern with MAD-based confidence scoring, git branch isolation, and structured experiment logging.

Optimizes Grafana Jsonnet dashboard content for observability and SRE best practices (RED/USE/Golden Signals). Use when auditing dashboard quality, improving monitoring effectiveness, enhancing diagnostic capabilities, or reviewing observability coverage. Focuses on content-level improvements without code structure refactoring.

Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.

wipnote orchestration patterns for AI-assisted development. Use when working on code in an wipnote project — provides delegation patterns, model selection, quality gates, and work tracking guidance. Activate when planning work, delegating to agents, debugging, building features, or managing tasks.

Expert-level Home Assistant configuration management with efficient deployment workflows (git and rapid scp iteration), remote CLI access via SSH and hass-cli, automation verification protocols, log analysis, reload vs restart optimization, and comprehensive Lovelace dashboard management for tablet-optimized UIs. Includes template patterns, card types, debugging strategies, and real-world examples.

Human-in-the-loop iterative development. Use when requirements will emerge during implementation, decisions need human approval at each step, or work will span multiple sessions with frequent feedback loops. Creates problem statement, decisions log, runbook, and progress tracking.

Maintain product feature specifications with versioning, tagging, and human-described tests. Use when adding features, listing features, querying by tags, tracking feature versions, writing feature tests, or managing product roadmaps.

Logging best practices focused on wide events (canonical log lines) for powerful debugging and analytics

Manage tasks via dex CLI. Use when breaking down complex work, tracking implementation items, or persisting context across sessions.

Search and query Goodreads library from CSV export. Use when the user asks about books, TBR (to-be-read), reading lists, book searches, or mentions Goodreads. Also use for queries about book ratings, authors, reading status, or library statistics.

CLI for querying Metabase (cards/questions, dashboards, collections, databases, search). Use when working with Metabase to search entities, browse collections, run saved questions, export/import dashboards, explore database metadata, or resolve Metabase URLs. Triggered by requests involving Metabase data, dashboard queries, saved questions, collection browsing, or Metabase automation.

Use when making structured decisions between multiple options - creates weighted scoring spreadsheet with systematic evaluation across considerations grouped by area

Designs and manages n8n Data Tables directly with the data-tables and parse-file tools. Use when the user asks to list, show, create, inspect, import, seed, query, update, clean up, rename columns in, or delete data tables and rows, especially from CSV/XLSX/JSON attachments, and before building or planning workflows that create or write to Data Tables.

Use this skill when the user expresses ANY intent related to issue/thread management: - Switching issues: "let's work on X", "switch to #Y", "go to the auth issue" - Checking status: "what are we working on?", "current issue?", "status?" - Background work: "what's in background?", "any features ready?", "check progress" - Starting development: "implement X", "add feature", "fix bug Y", "build a..." - Joining reviews: "let me see the review", "check that feature", "join #X" - Pausing/resuming: "pause this", "come back later", "resume #X" - Stopping transcription: "stop tracking", "don't record this", "private mode" - Resuming last session: "what were we working on?", "resume last issue", "continue where we left off" - Any natural expression of wanting to change focus or check work status This skill interprets natural language - users should NOT memorize commands. For the full GHE workflow protocol, see skill: github-elements-tracking

Guide for agents to help users interpret and act on NightVision DAST scan results. Use when reading SARIF/CSV findings, explaining vulnerabilities, locating vulnerable code, validating findings with curl, prioritizing by severity, suggesting remediations, or marking false positives.

Autonomous iteration loop: modify, verify, keep/discard against any metric

BlockBeats Skill covers over 1,500 information sources, including AI-driven insights, Hyperliquid on-chain data, and Polymarket market analytics. It also features robust keyword-based search functionality.

A skill to build and manage Home Assistant configurations. Use when using the Home Assistant Builder (`hab`) CLI to inspect, create, update, delete, operate, or troubleshoot Home Assistant resources; when a user mentions hab, Home Assistant CLI automation, Lovelace/dashboard edits, helpers, automations, scripts, backups, ESPHome, or Home Assistant operations from a terminal.

Fullstory analytics workflow. Use when answering a question that requires measuring user behavior — counts, rates, trends, breakdowns, or cohort comparisons. Builds segments and metrics, computes results, then investigates sessions to explain what the numbers mean.

Master declarative, no-code data dashboards with Lumen YAML specifications. Use this skill when building standard data exploration dashboards, connecting multiple data sources (files, databases, APIs), creating interactive filters and cross-filtering, designing responsive layouts with indicators and charts, or enabling rapid dashboard prototyping without writing code.

Add visual filters with charts to SAP Fiori Elements value help dialogs. Use for: displaying aggregated data in filter fields, adding bar/column/line/donut charts to value help, configuring Analytics.AggregatedProperty with sum/average/min/max, setting up @Aggregation.ApplySupported, configuring manifest.json for visual filters, implementing OData V4 aggregation in CAP projects, enhancing List Report filter bars with visual analytics.

Test the full Credyt billing cycle end-to-end for a specific product. Creates a test customer, funds their wallet, sends a usage event, and verifies fees were charged correctly. Use this to re-verify a product after making changes in the dashboard, to test a specific product independently, or to troubleshoot billing issues. Note that /credyt:billing-setup runs verification automatically — use this skill when you want to verify without re-running full setup.

End-to-end autonomous development: goal → plan → TDD → implement → validate → PR → address feedback → wait for merge → close tracking. Human approves plan and merge only. Example: /dev implement rate limiting

Analyze CSV data files and interpret figures to generate the Results section. Fifth step of writer workflow. Requires scope.md, data/ folder with CSVs, and figures/ folder with images.

Use when user types /improve or frustration patterns detected - systematic intervention for reducing user frustration and improving workflow effectiveness through root cause analysis, evidence-based fixes, and effectiveness tracking

Access Our World In Data's internal datasette instance to query data from our main MySQL database mirror and analytics data store. Use this when you need to look up or explore data from our internal infrastructure. Does not contain any timeseries data i.e. this does not help to answer questions about data like "what is the life expectancy in Nigeria?". Instead, it is useful for questions like "how many published charts do we have?" or "get the title for all views for a multidim".

Extract text and tables from .docx and .xlsx using local scripts (no external deps).

Reviews specifications, plans, PRDs, requirement documents, or other documentation for completeness, clarity, edge cases, and technical accuracy. Generates detailed report with prioritized findings and readiness assessment.

Disciplined plan execution with checkpoint validation, progress tracking, and verification at each step. Follows an approved plan strictly, running verification criteria before proceeding.

Instant sales analytics. Ask any performance question — emails, calls, meetings, tasks, opportunities, sequences, conversation intelligence — and get formatted tables with real Apollo data.

Orchestrate multi-simulation campaigns including parameter sweeps, batch jobs, and result aggregation. Use for running parameter studies, managing simulation batches, tracking job status, combining results from multiple runs, or automating simulation workflows.

MUST USE when reviewing ClickHouse schemas, queries, or configurations. Contains 28 rules that MUST be checked before providing recommendations. Always read relevant rule files and cite specific rules in responses.

Track international packages by tracking number. Supports 3100+ carriers (China Post, DHL, FedEx, UPS, USPS, Yanwen, Cainiao, etc.) via 17track. Optional: set TRACK17_API_KEY for best results. Without a key, uses Playwright (headless browser) as fallback. Use when the user asks about package tracking, shipment status, delivery time, or logistics queries.

Track progress over time across therapy sessions and journal entries. Supports trend analysis, session comparisons, period summaries, and goal tracking. Reads from analysis files and generates comprehensive progress reports.

Subscribe to realtime changes in Supabase using WebSocket connections. Use for listening to database changes, presence tracking, and broadcast messaging.

Create and configure dashboards with portlets (charts/widgets) using DashboardConfig in Drizzle Cube.

Open the context-mode Insight analytics dashboard in the browser. Shows personal metrics: session activity, tool usage, error rate, parallel work patterns, project focus, and actionable insights. First run installs dependencies (~30s). Subsequent runs open instantly. Trigger: /context-mode:ctx-insight

# Requirements Clarity Skill

# Requirements Clarity Skill

Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) with formula-aware workflows, cached recalculation, and visual review.

Solidity code simplification and refactoring for clarity and maintainability. Triggers on weasel simplify, weasel refactor, or weasel clean up.

Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to "simplify code", "clean up code", "refactor for clarity", "improve readability", or review recently modified code for elegance. Focuses on project-specific best practices.

Code quality dashboard. Wraps existing project tools (type checker, linter, test runner, dead code detector, shell linter), computes a weighted composite 0-10 score, and tracks trends over time. Use when: "health check", "code quality", "how healthy is the codebase", "run all checks", "quality score". (gstack)

Export a Google Sheets spreadsheet as a CSV file for local backup or processing.

Duplicate a Google Sheets template tab for a new month of tracking.

Set up a Google Sheets spreadsheet for tracking expenses with headers and initial entries.

Append a deal status update to a Google Sheets sales tracking spreadsheet.