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Found 6,150 Skills
Optional AI SDLC research workflow. Use when an AI assistant needs to investigate a customer, market, domain, technology, regulation, competitor, operational question, or implementation uncertainty and produce a routed source inventory plus synthesized findings with confidence, limitations, open questions, and delivery trace targets. Supports `--quick-flow` for focused evidence and `--full-flow` for multi-source and source-diversity gates.
AI SDLC Git-flow branching workflow. Use when an AI assistant starts implementation work, needs to create or verify a task branch, checks branch/spec alignment, or prepares to hand off a completed user-visible task to validation and commit prep. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution.
AI SDLC repository delivery-graph and evidence-freshness workflow. Use when an AI assistant needs to index lifecycle traceability, resolve end-to-end paths, report gaps or orphans, register evidence identity, propagate stale dependencies, or calculate fresh evidence coverage. Supports `--quick-flow` for deterministic local analysis and `--full-flow` for strict trace and evidence review.
Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general Google Cloud solution architecture (use google-cloud-solution-architecture instead) or for narrow tasks targeting a single product without agent context.
Guided, safe migration workflow covering EF Core schema migrations, .NET version upgrades, and NuGet dependency updates — each with rollback strategies and verification steps. Invoke when: "add migration", "update database", "create migration", "schema change", "new table", "rename column", "upgrade nuget", "update packages", "dependency update", "version upgrade", ".NET upgrade".
End-to-end workflow for creating complete JavaScript concept documentation, orchestrating all skills from research to final review
Advanced editing features including subtypes, feature forms, versioning, and configurable editors. Use for complex data entry workflows.
Handle user interaction with map features including popups, editing, sketching, and event handling. Use for creating interactive map applications with feature selection, editing workflows, and custom interactions.
General-purpose agent for researching complex questions and executing multi-step tasks. Versatile problem-solver that combines research capabilities, analytical thinking, and systematic task execution. Use for complex research projects, multi-step workflows, cross-domain analysis, and tasks requiring multiple tools and approaches.
GitHub Issues-first workflow with sub-issues hierarchy. TRIGGERS - issue hierarchy, sub-issues, issue tracking, research workflow, cross-repo issues.
LangGraph parallel execution patterns. Use when implementing fan-out/fan-in workflows, map-reduce over tasks, or running independent agents concurrently.
High-velocity solo development workflow. Idea to production same-day. 9 commands: plan, spike, ship, review, spec-review, focus, done, drop, workflow. Auto-activates on: "plan", "spec", "ship", "spike", "spec-review", "review spec", "analyze spec", "challenge spec", "focus", "what should i do", "prioritize", "overwhelmed", "what should i work on", "done", "finish", "complete", "drop", "abandon", "workflow", "what's next", "whats next", "next step", "what now".