quality-verify
Verify the final deliverable meets all quality criteria before delivery. Use as the final validation step to ensure the output meets the user's quality standards across all 6 dimensions.
validate-requirements
Validate that input meets prerequisites based on the user's saved standards for the project type. Use at the start of any quality pipeline to ensure the user has provided sufficient requirements.
epub-chapter-extractor
Extract all chapters from an EPUB file into separate markdown files. Use when the user wants to split an EPUB into individual chapter files, extract EPUB chapters, or convert an ebook to separate markdown documents.
gasp-diagnostics
System diagnostics using GASP (General AI Specialized Process monitor). Use when user asks about Linux system performance, requests system checks, mentions GASP, asks to diagnose hosts, or says things like "check my system" or "what's wrong with [hostname]". Can actively fetch GASP metrics from hosts via HTTP or interpret provided JSON output.
error-memory
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llm-doc-writer
Write token-efficient documentation for LLM context. Use when creating CLAUDE.md, README, technical docs, agent instructions, or any documentation consumed by AI assistants.
coercion-duress
Clerk for forced surrenders, threats, procedural irregularities, and lack of informed consent; use for Coercion_Duress queue.
fiduciary-duty-negligence
Clerk for Crown fiduciary breaches, fund mismanagement, conflicts of interest, and failure to protect reserve lands; use for Fiduciary_Duty_Negligence queue.
governance-sovereignty
Clerk for Chief/Council authority, assertions of title, self-government, and resistance to federal imposition; use for Governance_Sovereignty queue.
land-reduction-trespass
Clerk for reserve reduction, trespass, survey errors, and railway takings; use when processing the Land_Reduction_Trespass queue.
large-report-editor
Edits and compiles very large Markdown research reports using surgical patches, structure JSON, and legal‑grade citation rules.
manager-planner
Orchestrates Pukaist agents, enforces plan-first workflow, runs integrity tests, and delegates tasks; use for coordination or system audits.
project-operator
Operates and debugs the local stack (API/worker/frontend); focuses on observability, logs, and safe automation.
research-synthesizer
Synthesizes provided sources neutrally; separates quotes from paraphrase and avoids ungrounded claims.
software-engineer
Builds and refactors code safely; prefers small diffs, clear validation steps, and testable outcomes.
water-rights-fishing
Clerk for water licenses, irrigation, riparian rights, and fishing restrictions affecting Pukaist/Nlaka'pamux; use for Water_Rights_Fishing queue.
actionbook
Browser action engine. Provides up-to-date action manuals for the modern web — operate any website instantly, one tab or dozens, concurrently.
active-research
Deep research and analysis tool. Generates comprehensive HTML reports on any topic, domain, paper, or technology. Enhanced with advanced browser automation — SPA handling, network idle wait, batch operations, stealth browsing, and intelligent page analysis. Use when user asks to research, analyze, investigate, deep-dive, or generate a report on any subject.
extract
Extract structured data from websites and produce an executable Playwright script plus extracted data. Use when the user wants to scrape, extract, pull, collect, or harvest data from any website — product listings, tables, search results, feeds, profiles, or any repeating content.
async-python-patterns
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
cohere-v2-python
Master Cohere v2 Chat API with Python, specializing in entity extraction using JSON Schema mode for structured outputs. Use when extracting entities from text, building data extraction pipelines, implementing NER systems, or requiring validated JSON responses from LLMs.
python-packaging
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
python-testing-patterns
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
surrealdb-python
Master SurrealDB 2.3.x with Python for multi-model database operations including CRUD, graph relationships, vector search, and real-time queries. Use when working with SurrealDB databases, implementing graph traversal, semantic search with embeddings, or building RAG applications.
uv-package-manager
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
codebase-explorer
Explore and understand the Empathy Ledger codebase architecture, data flows, database schema, services, and how components connect. Use when you need to understand where things are, how data flows, or how different parts of the system relate to each other.
cultural-review
This skill provides comprehensive guidance for reviewing code, features, and content for cultural sensitivity and Indigenous data sovereignty compliance.
data-analysis
AI-powered data analysis for Empathy Ledger - themes, quotes, story suggestions, transcript analysis.
design-component
Design components for Empathy Ledger - storyteller cards, story cards, and culturally sensitive UI patterns.
empathy-ledger-dev
Invoke this skill when: - Starting work on any Empathy Ledger feature - Need quick reference to project patterns
gdpr-compliance
This skill provides comprehensive guidance for implementing and reviewing GDPR-compliant features in Empathy Ledger.
local-dev-server
Local dev server management — start, stop, clean restart, fix cache corruption, port conflicts. Use this skill whenever the dev server needs launching or is misbehaving.
supabase
Navigate Supabase database tables, relationships, and query patterns. Schema reference for Empathy Ledger.
cookmode-v2-source-of-truth
Documents and explains the CookMode V2 codebase as it exists. Use this when the user needs factual information about the current implementation, architecture, file locations, or how components work. DOES NOT suggest improvements unless explicitly asked.
database-manager
Manages Supabase database schema, migrations, and queries for CookMode V2. Use this when the user needs to create/modify tables, write migrations, update RLS policies, or troubleshoot database issues.
recipe-manager
Helps add, edit, validate, and manage recipe data in recipes.js. Use this when the user wants to create new recipes, modify existing ones, fix recipe formatting, or validate recipe structure.
architecture-patterns
AI-friendly architecture patterns for TypeScript projects including Domain-Driven Design, Clean Architecture, Hexagonal Architecture, and Page Object Model testing patterns
playwright-browser-automation
Complete browser automation with Playwright. Auto-detects dev servers, writes clean test scripts to /tmp. Test pages, fill forms, take screenshots, check responsive design, validate UX, test login flows, check links, automate any browser task. Use when user wants to test websites, automate browser interactions, validate web functionality, or perform any browser-based testing.
router
Intelligent routing layer that analyzes requests and directs them to the most appropriate Skills, Agents, or Commands
typescript-jsdoc
Write effective JSDoc comments for TypeScript code. Provides guidance on documentation format, strategic placement, best practices, and when to document versus when to keep code self-documenting. Helps maintain code clarity and IDE support.
vitest-testing
**AI-friendly comprehensive testing guidance for Vitest with practical patterns and behavior-driven development.**
api-and-interface-design
Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.
browser-testing-with-devtools
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
code-review-and-quality
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.
context-engineering
Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.
debugging-and-error-recovery
Guides systematic root-cause debugging. Use when tests fail, builds break, something that worked yesterday broke, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need to figure out what broke and why — a systematic approach to finding and fixing the root cause rather than guessing.
documentation-and-adrs
Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.
incremental-implementation
Delivers changes incrementally in thin, verifiable slices. Use when implementing any feature or change that touches more than one file, or when picking up the next task from a plan. Use when rolling a change out behind a feature flag, when you're about to write a large amount of code at once, or when a task feels too big to land in one step.
interview-me
Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified ("build me X" without "for whom" or "why now"), when the user explicitly invokes ("interview me", "grill me", "are we sure?", "stress-test my thinking"), or when you catch yourself silently filling in ambiguous requirements before any plan, spec, or code exists.
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