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Found 10,433 Skills
Fix issues in MTHDS bundles. Use when user says "fix this workflow", "fix this method", "repair validation errors", "the pipeline is broken", "fix the .mthds file", after /mthds-check found issues, or when validation reports errors. Automatically applies fixes and re-validates in a loop.
Guides the influencer creator discovery workflow using Gentic MCP tools. Activates when users want to find, score, or manage influencer/creator partnerships.
Structured workflow for writing high-quality Go tests. Applicable scenarios: When a user explicitly requests test generation for specific code, or when new Go code is submitted to the repository.
Launch a new OpenSpec change using an experimental artifact workflow. Use this when users want to create new features, fixes or modifications through a structured step-by-step approach.
Extract text from source documents (PDF, DOCX, PPTX, HTML, Markdown) for spreadsheet workflows. Use to understand source material before populating workbooks.
Specialized business logic evaluator for the Evaluate-Loop. Use this for evaluating tracks that implement core product logic — pipelines, dependency resolution, state machines, pricing/tier enforcement, packaging. Checks feature correctness against product rules, edge cases, state transitions, data flow, and user journey completeness. Dispatched by loop-execution-evaluator when track type is 'business-logic', 'generator', or 'core-feature'. Triggered by: 'evaluate logic', 'test business rules', 'verify business rules', 'check feature'.
Is smart money exiting a token I hold? Net flow direction, seller breakdown by label, and recent SM trades.
Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like: lambda durable functions, workflow orchestration, state machines, retry/checkpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, and reliable serverless applications.
Develop Python applications using modern patterns, uv, functional-first design, and production-first practices. Use this whenever working with .py files, pyproject.toml, uv commands, pip/pip3, poetry, virtualenv/venv, inline script metadata, or Python tooling like pytest, mypy, ruff, asyncio, itertools, functools, or dataclasses. If the task involves running Python, managing Python dependencies, creating environments, or building Python packages, load this skill and prefer uv-oriented workflows.
Git worktree management with tmux and iTerm2 integration. Use when creating isolated dev environments, managing parallel feature branches, switching contexts without stashing, or running multiple Claude instances. Covers worktree creation, tmux window management, iTerm2 tabs, and cleanup workflows.
Publish a workflow learning to the groovebook shared commons as a GitHub PR. Use after groove-work-compound when a learning is worth sharing.
This skill should be used when the user asks to "debug this", "fix this error", "investigate this bug", "troubleshoot this issue", "find the problem", "something is broken", "this isn't working", "why is this failing", or reports errors/exceptions/bugs. Provides systematic debugging workflow and common error patterns.