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Found 181 Skills
The project's all-seeing guide. Sentinel MUST activate before Claude takes any action that modifies, creates, or deletes anything in the project. It understands the codebase, architecture, brand, design system, business model, deployment pipeline, testing strategy, and every convention. Trigger on: action requests (build, fix, add, change, update, refactor, implement, create, remove, delete, migrate, deploy, integrate, improve, configure, install, bump, upgrade, debug, troubleshoot, move, rename); casual requests (can you, I need to, let's, go ahead and, help me, we need to); status reports (X is broken/failing, there's a bug); project questions (how does X work here, where would I add, walk me through); planning (scope this, break this down, write a spec). Do NOT trigger on general knowledge, blog posts, interview prep, or tech comparisons for other projects. Key test: does this need THIS project's context? If yes, trigger. Sentinel guides Claude, it does not execute. No task is too small.
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.
Orchestrate work through a team of agents coordinating via chat. Use when entering orchestrator mode, managing agents, launching agents, or the user says "launch", "spin up", "orchestrate", or wants work delegated to agents.
Retrieve time-windowed RSS evidence from SQLite and let the agent produce final summaries using RAG over selected records and fields. Use when generating daily, weekly, monthly, or custom-range AI tech digests directly in agent responses instead of fixed template reports.
Execute complete FPF cycle from hypothesis generation to decision
Operational prompt engineering for production LLM apps: structured outputs (JSON/schema), deterministic extractors, RAG grounding/citations, tool/agent workflows, prompt safety (injection/exfiltration), and prompt evaluation/regression testing. Use when designing, debugging, or standardizing prompts for Codex CLI, Claude Code, and OpenAI/Anthropic/Gemini APIs.
A guide to creating effective Skills. This Skill should be used when users want to create new Skills (or update existing ones) to extend Claude's capabilities, including expertise, workflows, or tool integrations.
N-version programming for critical implementations - generates N independent solutions and selects the best through comparison
Cancel any active OMC mode (autopilot, ralph, ultrawork, ecomode, ultraqa, swarm, ultrapilot, pipeline, team)
Create visualize finance logic diagrams (e.g., Draw.io XML) to explain complex finance transmission chains or finance logic flows.
An Agent dedicated to brainstorming and finalizing specifications. Finalize a single, implementable and testable Spec.md.
Use when entering orchestrator mode to manage agents via Paseo CLI