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Found 2,940 Skills
Comprehensive guide to AI SDK v6 for agent development, tool definitions, multi-step agentic workflows, and result extraction patterns
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Label taxonomy and triage workflow for GitHub issues. Defines type labels (bug/feature/enhancement/docs/chore), priority levels (critical/high/medium/low), status labels, and triage decision workflow. Use when categorizing and prioritizing issues.
Guide spec-driven development workflow (Requirements → Design → Tasks → Implementation) with approval gates between phases. Use when user wants structured feature planning or says "use spec-driven" or "follow the spec process".
Update GitHub Actions versions in workflow files, focusing only on major version changes. Use when the user wants to update action versions, check for outdated GitHub Actions, or upgrade workflow dependencies to their latest major versions.
Temporal workflow orchestration in Python. Use when designing workflows, implementing activities, handling retries, managing workflow state, or building durable distributed systems.
Create, inspect, validate, explain, and improve Ralph hat collections. Use this skill whenever the user asks to make or refine a `.ralph/hats/*.yml` workflow, debug hat routing, explain event topology, or tune a multi-hat Ralph run.
Sage Accounting integration. Manage accounting data, records, and workflows. Use when the user wants to interact with Sage Accounting data.
Set up GitHub Actions CI/CD to automatically regenerate putior workflow diagrams on push. Covers workflow YAML creation, R script for diagram generation with sentinel markers, auto-commit of updated diagrams, and README sentinel integration for in-place diagram updates. Use when workflow diagrams should always reflect the current state of the code, when multiple contributors may change workflow-affecting code, or when replacing manual diagram regeneration with an automated CI/CD pipeline.
Autonomous SDLC router. Takes a job, classifies complexity, executes the appropriate lev-* workflow (from trivial fix to full epic), and returns "done" with runnable instructions. One shot to full auto: spec/bd/poc/impl. Subagent returns completion artifact. Triggers: "sidequest", "side quest", "just do it", "autonomous", "one shot"
Use when an AI agent should run protocols or workflow tests against kairos-dev (KAIROS MCP in this repo's dev environment). Covers AI–MCP integration and workflow-test flows; MCP-only, reports/ output.
Autonomous AI Project Agent & Cron Task Runner. Orchestrates repetitive AI-driven engineering tasks with state persistence (Memory) and advanced workflow controls.