Loading...
Loading...
Found 6,362 Skills
Agent skill for pr-manager - invoke with $agent-pr-manager
Worker-Agent integration for intelligent task dispatch and performance tracking
Agent skill for test-long-runner - invoke with $agent-test-long-runner
CrewAI task design and configuration. Use when creating, configuring, or debugging crewAI tasks — writing descriptions and expected_output, setting up task dependencies with context, configuring output formats (output_pydantic, output_json, output_file), using guardrails for validation, enabling human_input, async execution, markdown formatting, or debugging task execution issues.
Assemble a panel of experts to assess a problem from multiple professional perspectives, surface agreement and disagreement, and deliver a chaired recommendation with clear tradeoffs. Use when the user wants multi-expert judgment, a second opinion, design critique, option comparison, or a recommendation backed by distinct expert viewpoints.
Lance une réunion autonome rapide avec des personas sélectionnés automatiquement, implémente la décision, crée une MR/PR, commite, pousse et publie un résumé en français — le tout sans intervention de l'utilisateur.
Get Shit Done (GSD) orchestrator. Runs the full project pipeline from idea to implementation to documentation: setup → PRD → task list → implementation → decisions doc. Use when the user wants to build something end-to-end, says "let's GSD", "build this from scratch", "get shit done", or wants to run the full development workflow. Coordinates gsdl-setup-project, gsdl-create-prd, gsdl-create-plan, gsdl-execute-plan, and gsdl-document-decisions skills. Spawns subagents per parent task during implementation to preserve context. Accepts an optional project name or source URL: /gsdl [project-name] OR /gsdl [linear|notion|slite] [url] OR /gsdl [url].
Orchestrates end-to-end software development using the addyosmani/agent-skills framework. Guides the user through define → plan → build → verify → review → ship phases, spawns subagents for each step, tracks state persistently, and never loses focus on workflow completion. Use when the user says "let's build X", "help me implement X", "walk me through X", or wants structured multi-phase dev guidance. Also triggers when a task is clearly non-trivial and would benefit from phased execution.
Analyze a task, pick the right fleet type, and generate a ready-to-launch fleet (fleet.json + prompt.md files). Discovers available fleet skills dynamically. Use when the user wants to run work in parallel, asks to "plan a fleet", or says "fleet-plan".
Monitor sBTC balance and auto-route excess above a reserve threshold to Zest yield
Use when creating a new skill, adding a skill to the user's setup, or the user says "make this a skill". All personal skills live in the arjit-skills monorepo and are symlinked into place.
Run the /check-phoenix-duskmoon-design Claude command workflow in Codex.