NetBox IPAM and PowerDNS integration for automated DNS record management.

Master NFT development with token standards, metadata, marketplaces, and on-chain art

When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.

Phase 2 of the GitHub planning workflow. Reads a GitHub issue snapshot, dispatches a plan/prioritize/validate pipeline, and writes docs/<ISSUE_SLUG>-tasks.md with branch names for every planned child issue.

Phase 2 of the Jira planning workflow. Reads a Jira ticket snapshot, dispatches a plan/prioritize/validate pipeline, and writes docs/<TICKET_KEY>-tasks.md with branch names for every planned Jira subtask.

Product positioning and differentiation using April Dunford's framework. Use when positioning a product, defining competitive differentiation, developing messaging, or entering a new market. Trigger on: 'position my product', 'how do I differentiate', 'positioning statement', 'competitive alternatives', 'what category should I be in'.

Comprehensive mobile push notification guide for iOS (APNS) and Android (FCM). Use when setting up push notifications, debugging delivery issues, implementing background/foreground handlers, managing push tokens, integrating deep linking, or troubleshooting platform-specific issues.

IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.

This skill provides tools and techniques for Postmill/Reddit-like forum automation. Includes account creation, posting, forum creation and wiki management. Suitable for tasks requiring complex operations on forum platforms.

Use when cleaning repository branches, worktrees, gc state, large objects, and exclusion rules safely. Triggers:

Guide agents through structured research including planning, multi-query execution, source analysis, and synthesis. Use for comprehensive topic research, deep investigation, or creating research reports. Keywords: research, investigate, deep dive, comprehensive, analysis, synthesis, report.

Set up and configure Geoffrey Huntley's original Ralph Wiggum autonomous coding loop in any directory with proper structure, prompts, and backpressure.

Guide for creating effective skills. 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.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.

Guide for creating effective skills. 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.

Guide for creating effective skills. 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.

Guide for creating effective skills. Use 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.

Guide for creating effective skills. 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.

Guide for creating effective skills. 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.

Guide for creating effective skills. 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.

Guide for creating effective skills. 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.

Tracks skill usage patterns, edit frequency, and success rates to suggest improvements and optimizations. Manages skill versioning with safe rollback capability and confidence scoring for suggestions. Use when reviewing skill performance, applying auto-suggested changes, or rolling back problematic versions.

Integrate installed skill usage guidance into project CLAUDE.md/AGENTS.md based on project context. Use when skills are installed but agents don't know when to use them, when setting up a new project with skills, or when updating guidance after adding skills.

Redesign an existing website to make it better. Multi-page, incremental, reasoned in the open. Built on top of impeccable.

Know the metrics that matter at each stage and what investors actually look for. Master the A16Z and YC frameworks for measuring startup progress. Use when: **Fundraising prep** to know which metrics to highlight; **Board meetings** to report on the right KPIs; **Strategic planning** to set goals that matter; **Product decisions** to understand what to optimize; **Diagnosing problems** to find what's broken

Build production-ready classification and regression models with hyperparameter tuning

Meta-router for swain skills. Invoke when the user explicitly asks swain to do something — not merely when they mention the project by name. Routes to the matching swain-* sub-skill — only load the one that matches. If the user's intent matches multiple rows, pick the most specific match. Sub-skills that are not installed will gracefully no-op.

Per-project key provisioning for git signing and authentication. Invoke to configure git signing, set up keys for this project, bypass 1Password for git operations, add a key to GitHub or Forgejo, troubleshoot signing prompts, or check key status. Generates ed25519 SSH keys (GitHub) or GPG keys (Forgejo), configures git signing, registers keys on the forge, and sets up SSH host aliases to bypass global agents.

Create and customize Syncfusion Angular Linear Gauge components for displaying measurements and metrics. Use this skill when user needs to implement a linear gauge, display scalar values in a linear scale, create measurement interfaces, configure ranges and pointers, add annotations, handle user interactions, or customize gauge appearance. Covers installation, configuration, events, accessibility, printing, and internationalization.

Implement Syncfusion Blazor Smith Chart for RF circuit analysis and transmission line impedance matching. Use this when visualizing impedance/admittance data, reflection coefficients, S-parameters, or antenna tuning in Blazor applications. This skill covers circular grid representations and RF network parameter analysis.

# Tasks Management Skill

Implement TypeScript patterns, convert JavaScript to TypeScript, add type annotations, create generics, implement decorators, and enforce strict type safety in Angular projects.

Conducts a full automated autopsy of the current workspace directory to map files, identifies structural issues, proposes a restructuring plan (the signal), and establishes unified governance using templates. Use this skill when a user asks to map, restructure, reorganize, or apply new governance to an existing messy repository.

Restake LSTs on EigenLayer to earn AVS operator yield — stake, delegate, and manage your restaking positions

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

Analyze a codebase to figure out how it should be tested with Antithesis: map the system, identify failure-prone areas and testable properties, and produce the research artifacts needed for workload and environment planning.

Use when adding login, logout, and user profile to a Flask web application using session-based authentication - integrates auth0-server-python for server-rendered apps with login/callback/profile/logout flows.

This skill MUST be invoked when the user says "write requirements", "define success criteria", "identify edge cases", or "functional requirements". SHOULD also invoke when user mentions "FR-", "SC-", "RFC 2119", "MUST SHOULD MAY", or "edge cases". Produces technology-agnostic requirements in FR-XXX format with measurable success criteria.

This skill should be used when the user wants to prepare for behavioral interviews, generate a behavioral answer bank, practice STAR or SOAR format answers, prep a resume walkthrough narrative, or generate questions to ask their interviewer. Trigger phrases include "prep behavioral", "behavioral interview prep", "prep me for interview at", "practice behavioral questions", "generate behavioral answers", "behavioral prep for", "interview stories for", "STAR method answers", "SOAR answers", "prep my stories", "answer bank for interview", "resume walkthrough", "walk me through your resume prep", "questions to ask my interviewer", or when a user has completed a resume-builder run and asks for interview preparation. It chains off resume-builder output (notes.md, resume.tex, candidate-context.md) to produce a tailored question-and-answer bank.

Context detection and branch pattern matching for unified commands.

This skill should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio charts. Use this skill when the user provides breadth chart images for analysis, requests market breadth assessment, positioning strategy recommendations, or wants to understand medium-term strategic and short-term tactical market outlook based on breadth indicators. All analysis and output are conducted in English.

This skill should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio charts. Use this skill when the user provides breadth chart images for analysis, requests market breadth assessment, positioning strategy recommendations, or wants to understand medium-term strategic and short-term tactical market outlook based on breadth indicators. All analysis and output are conducted in English.

Analyze codebase with tokei (fast line counts by language) and difft (semantic AST-aware diffs). Get quick project overview without manual counting. Triggers on: how big is codebase, count lines of code, what languages, show semantic diff, compare files, code statistics.

Searches the live web via Nimble APIs to monitor competitors and produce a structured intelligence briefing. Runs parallel searches for news, product launches, hiring signals, and funding — then compares against previous findings to highlight only what's new. Use this skill when the user asks about competitors, competitive intelligence, or what rival companies are doing. Common triggers: "what are my competitors doing", "competitor update", "competitor news", "competitive landscape", "market intel", "what's new with [company]", "track [company]", "competitor briefing", "who's making moves", "competitive analysis", "losing deals to [company]", "battlecard". Also use before board meetings or strategy sessions when the user wants competitive context. Requires the Nimble CLI (nimble search, nimble extract) for live web data. Do NOT use for single-company deep dives (use company-deep-dive), meeting prep with attendees (use meeting-prep), or non-business queries.

Generate phonologically consistent constructed languages for fiction. Use when you need naming languages, alien speech, or fantasy tongues without deep linguistics knowledge.

Check which exchanges work from your location and search for tokens with trading rules (min order size, price increment, order types).

Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse architecture

Tools and guidance for model explainability, prediction explanations, feature impact analysis, SHAP values, SHAP distributions, anomaly assessment, and model diagnostics. Use when analyzing model explanations, feature impact, SHAP values, SHAP distributions, anomaly assessment, or diagnosing model behavior.

Generates a Jupyter notebook that fine-tunes a base model using SageMaker serverless training jobs. Use when the user says "start training", "fine-tune my model", "I'm ready to train", or when the plan reaches the finetuning step. Supports SFT, DPO, and RLVR trainers, including RLVR Lambda reward function creation.

Comprehensive Flutter performance optimization covering build optimization, rendering performance, memory management, profiling tools, isolates/concurrency, and app size reduction. Use when optimizing Flutter apps for speed, implementing performance monitoring, debugging jank, reducing memory usage, implementing concurrent operations, or minimizing app download size.

Comprehensive Flutter state management guidance covering built-in solutions, Provider, BLoC, and Riverpod. Use when working with state management, sharing data between widgets, managing app state, implementing reactive patterns, choosing state solutions, setState, ValueNotifier, ChangeNotifier, InheritedWidget, Provider package, BLoC pattern, Riverpod, state architecture, or comparing state management approaches.

Automatically detect false positive patterns in detections using deterministic analysis. Fetches historic detections for a time window, runs pattern detection script to identify noisy patterns (single-host concentration, identical command-lines, service accounts, same hash, temporal periodicity, etc.), generates narrow FP rules for each pattern, and presents for user approval before deployment. Use for bulk FP tuning, detection noise analysis, or automated alert fatigue reduction.

Gate partner affiliate data and application skill. Use when the user asks about partner commissions, referral volume, or applying for the affiliate program. Triggers on 'my affiliate data', 'partner earnings', 'apply for affiliate', 'commission'.

Gate LaunchPool staking and airdrop skill. Use when the user asks to browse LaunchPool, stake or redeem, or check airdrop rewards. Triggers on 'LaunchPool', 'launch pool airdrop', 'pledge redeem', 'LaunchPool rewards'.

Gate on-chain staking skill. Use when the user asks to stake POS coins, mint, or redeem staked assets. Triggers on 'staking', 'stake ETH', 'redeem staking', 'staking rewards'.

Gate Trading L2. Use when the user wants to execute complex trades, margin borrowing, or query positions and open orders. Triggers on 'market buy', 'margin borrow', 'TradFi', 'Alpha', or spot-plus-futures combos. Requires Action Draft.

Core Go programming concepts - syntax, types, interfaces, error handling

Build gRPC services with Go - protobuf, streaming, interceptors

Go performance optimization - profiling, benchmarks, memory management

Expert blueprint for Battle Royale games including shrinking zone/storm mechanics (phase-based, damage scaling), large-scale networking (relevancy, tick rate optimization), deployment systems (plane, freefall, parachute), loot spawning (weighted tables, rarity), and performance optimization (LOD, occlusion culling, object pooling). Use for multiplayer survival games or last-one-standing formats. Trigger keywords: battle_royale, zone_shrink, storm_damage, deployment_system, loot_spawn, networking_optimization, relevancy_system, snapshot_interpolation.

Expert patterns for input handling covering InputMap actions, InputEvent processing, controller support, rebinding, deadzones, and input buffering. Use when setting up player controls, implementing input systems, or adding gamepad/accessibility features. Keywords InputMap, InputEvent, gamepad, controller, rebinding, deadzone, input buffer.

Expert blueprint for genre-specific project boilerplates (2D platformer, top-down RPG, 3D FPS) including directory structures, AutoLoad patterns, and core systems. Use when bootstrapping new projects or migrating architecture. Keywords project templates, boilerplate, 2D platformer, RPG, FPS, AutoLoad, scene structure.

When you catch yourself ASSUMING how something works — guessing a repo's stack, asserting where code lives, feeling sure without having looked — that noticing is the signal for this. It is the faculty for acting well under not-knowing: the disciplined interrogation of your own ignorance, made measurable. Use this at the BLANK MOMENT before a problem is even named: a new repo, unfamiliar terrain, "I don't know what I don't know here." Instead of guessing or freezing, state a PREDICTION with a confidence BEFORE observing, make the cheapest observation that would falsify it, then record the SURPRISE (how wrong a confident belief turned out). A high-confidence miss is a significant surprise that teaches a mental-model; a hedged miss is noise. Over many predictions it tracks CALIBRATION — whether stated confidence matches actual hit rate — as the measurable proxy for whether Cairn's judgment can yet be trusted.

Manage LimaCharlie Infrastructure as Code using ext-git-sync compatible repository structure. Initialize IaC repos, add/remove tenants, manage global and tenant-specific configurations (D&R rules, outputs, FIM, extensions, etc.), and coordinate with ext-git-sync for deployment. Supports importing existing rules from tenants and promoting tenant rules to global. Use when setting up multi-tenant config management, adding orgs to IaC, or managing detection rules across organizations via git.

Bootstraps projects to production-ready structure. Use when creating new or transforming existing projects.

Researches meeting attendees and their companies before any meeting using real-time web data. Surfaces roles, recent activity, company context, and talking points — then maps cross-attendee relationships. Use this skill when the user asks to prepare for a meeting, research someone they're meeting, or wants context on attendees. Common triggers: "prepare me for my meeting", "who am I meeting with", "research this person", "meeting prep", "brief me on [person]", "I have a meeting with [person/company]", "get me ready for my call", "what should I know about [person]", "background on [person] before our meeting", "attendee research". Requires the Nimble CLI (nimble search, nimble extract) for live web data. Do NOT use for multi-company competitor monitoring (use competitor-intel) or single-company deep dives without attendees (use company-deep-dive).

When a problem FEELS LIKE one you have met before — a smell you half-recognize, a shape that rhymes with an earlier surprise — that recognition is the signal for this. It is the learning loop for problem-solving technique. Caches transferable REFRAMINGS that reveal solution classes you would not otherwise search for, keyed by a SMELL (the symptom that should trigger them) and learned from observed GAPS rather than looked up by name. Use this on a novel or hard problem (especially from spike-workflow), when a result seems good but you lack the systems understanding to know if it truly is, or when a gap against a floor/reference exposes that a whole class of approach was missed. It keeps a repo-local store (mental-models.jsonl): per model, the triggering smell, the reframing question, the solution classes it opens, an example, and the gap that taught it. The horizontal twin of library facts and specialist craft: insight whose authority is the measured gap, not docs.

Adds, removes, or modifies allowed endpoints in the sandbox policy. Use when customizing network policy, changing egress rules, or configuring sandbox endpoint access. Trigger keywords - customize nemoclaw network policy, sandbox egress policy configuration, nemoclaw integration policy examples, post-install policy setup, openshell approval workflow, policy preset, nemoclaw approve network requests, sandbox egress approval tui.

Use when users need terminal automation for Obsidian, including note and vault operations, daily notes, tasks, properties, search, plugin or theme management, and sync or history recovery.

Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch or JAX. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.

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Platform submission processes, certification requirements, and distribution across Steam, Epic, console, and mobile platforms.

Builds semantic code indexes, maps dependency graphs, and performs intelligent code search across large codebases. Use when understanding unfamiliar code, tracing call chains, analyzing import dependencies, or reducing context window usage through targeted retrieval.

Detect drift in .arkhe/roadmap/ context files and regenerate them from the current codebase state. Scaffolds context directory if missing. Use when user runs /roadmap:refresh, mentions "refresh context", "update context", "init roadmap", "stale context", or "scaffold roadmap".

Provides guidance on Regulation S offerings of securities under U.S. law. Helps determine eligibility for Regulation S exemption, identify applicable transaction categories (1, 2, or 3), understand safe harbor requirements under Rules 903 and 904, and navigate distribution compliance periods. Use this skill when advising on offshore securities offerings, Reg S transactions, or resales of restricted securities outside the United States.

Manage software releases end-to-end: bump version, generate changelog, tag, push, GitHub release, publish to PyPI/npm. Use when user asks to ship, cut a release, tag a version, or list changes since last tag. Skip routine commits and marketplace publishing.

Aggregates and summarizes recent updates from a predefined list of RSS feeds. Use when the user asks for "recent updates", "what's new", or "RSS updates" within a specific timeframe.

RNA velocity analysis with scVelo. Estimate cell state transitions from unspliced/spliced mRNA dynamics, infer trajectory directions, compute latent time, and identify driver genes in single-cell RNA-seq data. Complements Scanpy/scVI-tools for trajectory inference.

Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.

Setup the Ralph autonomous AI coding loop - ships features while you sleep

Get started building on Shopify. Use when a developer asks to build an app, build a theme, create a dev store, set up a partner account, scaffold a project, or get started developing for Shopify. NOT for merchants managing stores.

Guide for creating effective skills that extend Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Guide for implementing Syncfusion Angular Breadcrumb components for navigation trails. Covers installation, data binding, navigation setup, icons, overflow modes, and template customization. Use this when building breadcrumb navigation that displays user location in hierarchies, enables clicking parent items for navigation, adds icons for visual context, or customizes appearance with templates.

Implements the Syncfusion Blazor Chart Wizard for guided chart creation. Use this when building interactive chart builders that require step-by-step configuration, data binding, and export features. Covers chart customization, theming, and accessibility.

Implement Blazor Splitter layouts with pane configuration, resizing, and state management. Use when creating split pane layouts, handling user interactions, managing pane states, and applying custom styling to Syncfusion Blazor Splitter components.

Remove AI-style noise from staged and branch diffs while preserving behavior and repository style.

Generate/create/scaffold Terragrunt HCL files — root.hcl, terragrunt.hcl, child modules, stacks, multi-env layouts.

PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.

Expert guidance for using JJ (Jujutsu) version control system. Use when working with JJ, whatever the subject. Operations, revsets, templates, debugging change evolution, etc. Covers JJ commands, template system, evolog, operations log, and interoperability with git remotes.

Agile product management, Scrum practices, and team collaboration for iterative product development.

Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.

Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

Audits deep link contracts and routing behavior. Use when validating supported routes, required parameters, and cold or warm start handling.

Production-grade Bash fundamentals - syntax, variables, control flow, functions

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.