Diagnose and improve Android and Gradle build performance with scans, cache checks, and bottleneck audits.

# Archetypal Combinations: Alchemy Engine

ASCII diagram patterns for architecture, workflows, file trees, and data visualizations. Use when creating terminal-rendered diagrams, box-drawing layouts, progress bars, swimlanes, or blast radius visualizations.

Determine how to distribute capital across asset classes using strategic and tactical allocation frameworks. Use when the user asks about portfolio allocation, mean-variance optimization, Black-Litterman, risk parity, glide paths, or target-date strategies. Also trigger when users mention 'how much in stocks vs bonds', '60/40 portfolio', 'policy portfolio', 'core-satellite', 'liability-driven investing', 'asset-liability matching', or ask how to split their money across investments.

Audits optimizer table statistics for staleness, missing coverage, and data quality issues using SHOW STATISTICS. Use when diagnosing poor query performance, unexpected plan changes, or after bulk data changes to identify stale statistics requiring refresh via CREATE STATISTICS.

Use when adding login, logout, and user profile to a Laravel web application using session-based authentication - integrates auth0/login (laravel-auth0) for guard-based auth with auto-registered routes.

Use when building ANY macOS app — windows, menus, sandboxing, distribution, AppKit bridging, or macOS-specific SwiftUI patterns.

# Blazor Framework - Quick Reference (SKILL.md)

# Build System Automation Skill

Business Analyst (/ba, alias: Anna, /anna) - Senior BA with 10+ years bridging business and technical teams. Use when conducting market research, competitive analysis, gathering/refining requirements with behavioral acceptance criteria, creating business process models, cost-benefit analysis, financial modeling, user research, or validating assumptions with data. Works closely with /po to shape requirements.

Execute work efficiently while maintaining quality and finishing features

# Changelog Generator Skill

Changesets for versioning and changelog management in monorepos. Use when managing package versions, generating changelogs, or publishing packages. Use for changesets, versioning, changelog, semver, monorepo-versioning, release, publish, bump.

Claw Brain - Personal AI Memory System for ClawDBot. Provides memory, personality, bonding, and learning capabilities.

Transform predictable story elements into fresh, original versions. Use when something feels generic, when feedback says "I've seen this before," when elements orbit the protagonist too conveniently, or when you want to make a familiar trope feel new. Applies the 8-step CTF process and Orthogonality Principle.

Use when launching OCI compute instances, troubleshooting out-of-capacity or boot failures, optimizing compute costs, or handling instance lifecycle. Covers shape selection, capacity planning, service limits, and production incident resolution.

Read and manage daplug configuration from CLAUDE.md using <daplug_config> blocks, with legacy fallback and migration support.

Add a tailored constitution to your project. Use when starting a new project, bootstrapping governance, or when user asks to "create a constitution", "set up project principles", or "define coding standards". Conducts structured discovery through clarifying questions about project scale, risk profile, lifespan, architecture, team size, and delivery expectations, then recommends appropriate engineering principles, patterns, and practices matched to the project's characteristics.

Cryptographic algorithms, protocols, and implementations for secure data protection

Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

Provide frameworks for managing and paying off personal debt effectively. Use when the user asks about debt payoff strategies (avalanche vs snowball), refinancing decisions, debt consolidation, debt-to-income ratios, or the opportunity cost of paying off debt vs investing. Also trigger when users mention 'which debt to pay first', 'should I refinance', 'credit card debt', 'student loan payoff', 'DTI for mortgage', 'balance transfer', 'good debt vs bad debt', or ask how to get out of debt faster.

Designs DeFi trading systems for perpetual futures, liquidity provision, and automated strategies with risk management and MEV protection.

This skill should be used when creating Daggerheart adversaries, building stat blocks, designing encounters, or determining enemy difficulty. Invoke when the GM needs to create enemies, generate adversary stat blocks, calculate Battle Points for encounter balance, or reference adversary types (Bruiser, Horde, Leader, Minion, Ranged, Skulk, Social, Solo, Standard, Support).

Digital forensics and malware analysis for evidence collection and investigation

Generates comprehensive changelogs from Conventional Commits, maintains CHANGELOG.md files, and scaffolds project documentation like PRD.md or ADR.md. This skill should be used when creating changelogs, generating release notes, maintaining version history, documenting architectural decisions, or scaffolding project requirements documentation. Use for changelog generation, release notes, version documentation, ADR, PRD, or technical documentation.

Comprehensive guide for managing Drupal contributed modules via Composer, including updates, patches, version compatibility, and Drupal 11 upgrades. Use when updating modules or resolving dependency issues.

Research and extract an engineer's coding style, patterns, and best practices from their GitHub contributions. Creates structured knowledge base for replicating their expertise.

Build or refresh engineering culture and produce an Engineering Culture Operating System Pack (capability map, culture code, org↔architecture alignment, clock-speed/DevEx backlog, workflow contract, rollout + measurement). Use for engineering culture, DevOps capabilities, DevEx, clock speed, Conway's Law, and engineering principles. Category: Engineering.

lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).

Modern find-and-replace using sd (simpler than sed) and batch replacement patterns. Triggers on: sd, find replace, batch replace, sed replacement, string replacement, rename.

Use when implementing OCI GenAI inference APIs, troubleshooting rate limits or token errors, optimizing GenAI costs, or handling sensitive data (PHI/PII) in prompts. Covers model selection, cost calculations, token management, response validation, and healthcare/compliance considerations.

Advanced git operations (rebase, cherry-pick, reflog, stash, reset, clean), analysis tools (bisect, blame, history), and command reference. Use for complex git tasks, recovery operations, or when user mentions rebase, cherry-pick, reflog, stash, reset, bisect, or needs git command reference.

Enforce idiomatic git-branchless during planning and executing tasks — detached-HEAD-first work, in-memory rebase via `git move`, event-log recovery via `git undo`, deferred branch creation, speculative-merge `git sync` for base updates. Use when planning or executing multi-commit work, history rewrites, stack edits, rebase/reorder, fixup insertion mid-stack, stacked-PR publishing, or recovery from bad git ops; or when the user mentions branchless, smartlog, `git move`, or `git undo`. Silently inert if branchless is not initialized for the current repo.

Expert blueprint for performance profiling and optimization (frame drops, memory leaks, draw calls) using Godot Profiler, object pooling, visibility culling, and bottleneck identification. Use when diagnosing lag, optimizing for target FPS, or reducing memory usage. Keywords profiling, Godot Profiler, bottleneck, object pooling, VisibleOnScreenNotifier, draw calls, MultiMesh.

This skill should be used when the user asks about "Hotwire", "Turbo", "Turbo Drive", "Turbo Frames", "Turbo Streams", "Stimulus", "Stimulus controllers", "Stimulus values", "Stimulus targets", "Stimulus actions", "import maps", "live updates", "partial page updates", "SPA-like behavior", "real-time updates", "turbo_frame_tag", "turbo_stream", "broadcast", or needs guidance on building modern Rails 7+ frontends without heavy JavaScript frameworks.

Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when deploying with vLLM or HuggingFace Transformers.

Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when deploying with vLLM or HuggingFace Transformers.

Create template-based infographics with space-separated key-value syntax (NOT YAML). Best for KPI dashboards, timelines, roadmaps, SWOT analysis, funnels, comparisons, and org charts with quick visual impact.

Designs interactive theatrical experiences with branching narratives, audience participation systems, and immersive environmental storytelling.

Provides JetBrains IDE VM options knowledge for version-specific GC selection and memory/performance tuning (JDK 17/21, IDE 222+). Use this skill whenever the user mentions JetBrains IDE performance, vmoptions, .vmoptions files, IntelliJ/WebStorm/PyCharm/GoLand/Rider/CLion/PhpStorm/RubyMine/DataGrip tuning, IDE freezes or lag, heap size configuration, GC tuning for IDEs, or wants to optimize their JetBrains IDE startup or runtime performance — even if they don't explicitly mention "vmoptions".

Remove a future phase from roadmap and renumber subsequent phases. Triggers include "remove phase", "remove phase".

Control LaunchDarkly feature flag targeting including toggling flags on/off, percentage rollouts, targeting rules, individual targets, and copying flag configurations between environments. Use when the user wants to change who sees a flag, roll out to a percentage, add targeting rules, or promote config between environments.

Senior Legal Counsel with 20+ years experience in corporate law. Use for legal advice, contract drafting, compliance checks, data protection (GDPR/CCPA), employment law, or risk assessment. Auto-triggers penalty warnings and statute citations. Adapts to the user's jurisdiction by loading the matching reference (e.g. UK / English & Welsh law, persona Alex) from references/.

Generates seed data from ORM schemas or entity definitions to any target format. Use when populating databases for development.

Performance optimization patterns for Mapbox GL JS web applications. Covers initialization waterfalls, bundle size, rendering performance, memory management, and web optimization. Prioritized by impact on user experience.

This skill should be used when the user asks to "calculate TAM", "determine SAM", "estimate SOM", "size the market", "calculate market opportunity", "what's the total addressable market", or requests market sizing analysis for a startup or business opportunity.

Market structure analysis with Wyckoff, SMC/ICT, Al Brooks, and classical price action — outputs structured trade scripts with levels, entry, stop, R:R. Use when the user wants real technical analysis on a ticker (e.g. "market structure analysis on NVDA", "Wyckoff phase for BTC", "where's the order block on SOL", "SMC analysis").

On-chain USDC lottery on Base with daily drawings. Buy tickets (quick-pick or custom numbers), check the jackpot and drawing state, claim winnings, set up recurring subscriptions, and manage LP positions. Trigger on "megapot", "lottery ticket", "jackpot", "quick pick", or "did I win".

Knowledge graph orchestration layer with entity extraction, natural language query parsing, deduplication (>85% similarity), and cross-reference boosting. Unifies search results ranked by recency, relevance, and authority. Use when designing memory retrieval, building entity graphs, or optimizing knowledge graph queries.

Use when a user needs help triaging dbt-core to Fusion migration errors. Runs dbt-autofix first, then classifies remaining errors into actionable categories (auto-fixable, guided fixes, needs input, blocked).

Configures and automates MikroTik RouterOS routers through the terminal, command line interface, .rsc imports, /system script repository, Scheduler, Netwatch, firewall, NAT, DHCP, DNS, bridge, VLAN, routing, VPN, device-mode, backup/export, and RouterOS scripting. Use this skill whenever the user mentions MikroTik, Mikrotik, RouterOS, WinBox terminal, router CLI, router scripts, .rsc files, or configuring MikroTik services from the command line.

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Parallel execution patterns for cognitive reasoning tasks. Use when independent sub-problems can be solved simultaneously, multiple solution approaches need exploration, ensemble confidence is required, or time permits depth without sequential constraints. Integrates with ToT, BoT, HE, and AT for accelerated reasoning with fan-out/fan-in, MCTS-style search, and MoA aggregation patterns.

Transform into 31 specialized AI personalities on demand - from Dev (coding) to Chef Marco (cooking) to Dr. Med (medical). Switch mid-conversation, create custom personas. Token-efficient, loads only active persona.

Use this skill when upgrading or migrating an Android project from any legacy Google Play Billing Library (PBL) version to the latest stable version of PBL.

Analyzes logs efficiently through targeted search and iterative refinement. Use when investigating errors, debugging incidents, or analyzing patterns in application logs.

macOS app release: Sparkle, notarization, GitHub Release, Homebrew, closeout.

Remix v2 performance, streaming, caching, and server/client boundaries. Use when configuring HTTP caching, server-only modules, hydration safety, or prefetch. Triggers on headers export, Cache-Control, PrefetchPageLinks, Link prefetch, .server.ts, .client.ts, useHydrated, ClientOnly, window.ENV, links preload, useId.

Expert renewal management guidance for maximizing retention and expansion revenue. Use when building renewal playbooks, forecasting renewal pipeline, structuring multi-year deals, developing pricing strategies, mitigating churn risk, defending against competitive displacement, negotiating contracts, attaching expansion to renewals, or optimizing renewal operations. Covers high-touch and tech-touch renewal motions, early renewal strategies, and save plays.

Systematic methodology for gathering, analyzing, and synthesizing research from multiple sources into coherent insights and actionable knowledge.

Use when searching code with rg using precise, fast flags instead of slow grep or find patterns. Triggers:

Comprehensive RSpec testing for Ruby and Rails applications. Covers model specs, request specs, system specs, factories, mocks, and TDD workflow. Automatically triggers on RSpec-related keywords and testing scenarios.

Plan and run a high-signal team offsite/retreat and produce an Offsite Pack (offsite brief, agenda + run-of-show, prework, facilitation guide, logistics checklist, post-offsite decisions + action plan + comms). Use for offsite planning, team retreat, strategy offsite, planning offsite, quarterly burst, onsite. Category: Communication.

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.

Create or update AgentSkills for CoWork-OSS. Use when designing, structuring, or packaging skills. Supports JSON format with requirements, installation specs, and metadata.

This skill should be used when the user asks to "create a skill", "add a skill to a plugin", "add a skill to a repository", "scaffold a skill", "write a new skill", "improve skill description", or needs guidance on skill structure, progressive disclosure, or skill development best practices.

Syncs skill metadata to AGENTS.md Auto-invoke sections. Trigger: When updating skill metadata (metadata.scope/metadata.auto_invoke), regenerating Auto-invoke tables, or running ./skills/skill-sync/assets/sync.sh (including --dry-run/--scope).

Deep Research Swarm — Deploys parallel researchers to explore any topic via web, codebase, and documents, then synthesizes, validates claims, and generates a structured report. Requires CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1.

Guide for building, auditing, and refactoring Swift code using modern concurrency patterns (Swift 6+). This skill should be used when working with async/await, Tasks, actors, MainActor, Sendable types, isolation domains, or when migrating legacy callback/Combine code to structured concurrency. Covers Approachable Concurrency settings, isolated parameters, and common pitfalls.

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Transforms technical documents into rigorous learning journeys with collegiate-level mastery requirements. Uses Bloom's taxonomy progression, 80%+ mastery thresholds, and multi-level verification before advancing. Treats learning as a high school to college graduation progression. Use when user wants deep understanding, not surface familiarity.

Spec-driven team orchestration: adaptive development team scaling from 3 to 11 agents based on complexity.

Clinical interpretation of somatic cancer mutations for precision oncology. Transforms a gene + variant + cancer-type input into an actionable report: clinical evidence tier (CIViC, OncoKB), therapeutic options (FDA-approved + investigational), resistance mechanisms, prognosis, and matching clinical trials. Use for tumor-board variant calls, somatic-mutation actionability assessment, and treatment selection. Always cancer-type-specific.

AI-driven patient-to-trial matching for precision oncology and rare-disease care. Transforms a patient's molecular profile (mutations, biomarkers, expression) and clinical state into ranked clinical-trial recommendations with evidence tiers. Searches ClinicalTrials.gov plus cross-references CIViC, OpenTargets, ChEMBL, and FDA labels. Use for matching patients to trials by genotype, biomarker-driven trial selection, and trial-eligibility scoring.

Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform

Complete, populate and fill out 3-statement financial model templates (Income Statement, Balance Sheet, Cash Flow Statement) . Use when asked to fill out model templates, complete existing model frameworks, populate financial models with data, complete a partially filled IS/BS/CF framework, or link integrated financial statements within an existing template structure. Triggers include requests to fill in, complete, or populate a 3-statement model template

Expert in building desktop applications for Windows, macOS, and Linux with focus on platform-specific configurations, code signing, and distribution requirements

This skill should be used when the user asks about "interview questions", "how to interview", "what to ask candidates", "interview process", "hiring process", "scorecard", "evaluation criteria", "behavioral interview", "technical interview", "culture fit", or discusses assessing candidates or designing interview loops.

Master data manipulation, analysis, and visualization with Pandas, NumPy, and Matplotlib

Evaluate and improve AI-generated output with explicit rubrics, reflection loops, and stop conditions. Use when building self-critique workflows, evaluator-optimizer pipelines, or acceptance gates for code, docs, analysis, or plans.

Search A-Share/HK/US finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.

Search A-Share/HK/US finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.

This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.

Build iOS App Clips with invocation URLs, App Clip Codes, NFC, QR codes, Safari banners, Maps, Messages, target setup, App Store Connect experiences, size/capability constraints, NSUserActivity routing, SKOverlay promotion, App Group/keychain handoff, ephemeral notifications, location confirmation, and full-app migration. Use when creating App Clips or wiring App Clip invocation, experience configuration, or full-app handoff.

ArkType runtime validation with TypeScript-native syntax. Type-safe schemas using string expressions, morphs, scopes, and generics. Includes ArkEnv for typesafe environment variable validation with auto-coercion and Vite plugin. Use when defining schemas, validating data, transforming input, building type-safe APIs with ArkType, or validating environment variables with ArkEnv.

Use this skill when working with Athena Framework for Crystal. Athena is a modular ecosystem of independent, reusable components including: Framework (ATH) for web apps, DependencyInjection (ADI) for IoC containers, Routing (ART) for HTTP routing, Serializer (ASR) for object serialization, Validator (AVD) for validation, Console (ACON) for CLI tools, EventDispatcher (AED) for event-driven architecture, and more. Use for building Crystal web applications, REST APIs, CLI tools, or integrating individual components.

Use when migrating or switching from an existing auth provider (Firebase, Cognito, Supabase, Clerk, custom auth) to Auth0 - covers bulk user import, gradual migration strategies, code migration patterns, and JWT validation updates.

Use when working with HealthKit, WorkoutKit, health data, workouts, or fitness features on iOS or watchOS. Covers permissions, queries, background delivery, custom workouts, multidevice coordination.

Define custom attributes, custom object types, and site preferences for B2C Commerce using metadata XML. Use this skill whenever the user needs to add a field to products, orders, or customers, create a new custom object type, set up site preferences, or extend the B2C data model. Also use when they ask about system-objecttype-extensions.xml, custom-objecttype-definitions.xml, attribute groups in Business Manager, or data model definitions — even if they just say "add a field to products" or "I need a new object type".

Control BLE Session Appliance through the generated BLE device CLI.

Claims transformation and profile service patterns for Duende IdentityServer — IProfileService, IClaimsTransformation, claim type mapping, token claim filtering, extension grant validators, and dynamic claims loading.