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Found 1,196 Skills
Enhance a plan with parallel research agents for each section to add depth, best practices, and implementation details
This skill should be used when the user asks to "implement a plan", "execute implementation", "build from plan", "implement feature", or needs to orchestrate execution of an implementation plan with specialized engineering agents.
Run all security scanners against the project and produce a unified, severity-bucketed report. Orchestrates gitleaks (secrets), osv-scanner/trivy (dependency vulns), semgrep (static analysis), context-file injection scanner (built-in), and repo hygiene checks (built-in). Missing scanners are skipped with install hints — the scan always completes. Triggers on: 'security check', 'security scan', 'run security', 'scan for secrets', 'check for vulnerabilities', 'security audit', 'audit dependencies', 'check secrets', 'find vulnerabilities', 'scan codebase'.
Use this skill when managing multi-repository systems using the `meta` tool (github.com/mateodelnorte/meta). Triggers on meta git clone, meta exec, meta project create/import/migrate, coordinating commands across many repos, running npm/yarn installs across all projects, migrating a monorepo to a multi-repo architecture, or any workflow that requires running git or shell commands against multiple child repositories at once.
Multi-step voice content generation with deterministic validation. Orchestrates a 7-phase pipeline: LOAD, GROUND, GENERATE, VALIDATE, REFINE, OUTPUT, CLEANUP. Use when generating content in a specific voice, writing as a persona, or validating existing content against a voice profile. Use for "voice write", "write as", "generate in voice", or "voice content". Do NOT use for creating new voice profiles (use voice-calibrator), analyzing writing samples (use voice_analyzer.py), or general content without a voice target.
Build or update a professional-grade design system in Figma from a codebase. Use when the user wants to create variables/tokens, build component libraries, set up theming (light/dark modes), document foundations, or reconcile gaps between code and Figma. This skill teaches WHAT to build and in WHAT ORDER — it complements the `figma-use` skill which teaches HOW to call the Plugin API. Both skills should be loaded together.
Workflow creation, execution, and template management. Automates complex multi-step processes with agent coordination. Use when: automating processes, creating reusable workflows, orchestrating multi-step tasks. Skip when: simple single-step tasks, ad-hoc operations.
Agent skill for swarm - invoke with $agent-swarm
CrewAI architecture decisions and project scaffolding. Use when starting a new crewAI project, choosing between LLM.call() vs Agent.kickoff() vs Crew.kickoff() vs Flow, scaffolding with 'crewai create flow', setting up YAML config (agents.yaml, tasks.yaml), wiring @CrewBase crew.py, writing Flow main.py with @start/@listen, or using {variable} interpolation.
Map an existing codebase into an as-is Memory Bank without inventing roadmap items.
Use when running Ralph-style iterative autonomous development. Triggers on /ralph or /loop commands, when autonomous iterative development is needed, when a project has specs and an implementation plan ready for iterative execution, or when deterministic context loading with subagent delegation and dual-condition exit gates is required. Orchestrates PLANNING, BUILDING, and STATUS cycles.
Run yourself in a loop with programmatic control via the Agent SDK. Use for long-running tasks like optimization, research, iterative improvement, multi-agent coordination, or any multi-step workflow where you need to repeat, branch, or track progress.