Give your AI agent a professional health checkup (AgentVitals). Use when the user asks the agent to run a checkup / test itself / benchmark itself ("run a checkup", "check your vitals", "test yourself", "how stable are you", "/checkup"), or an advanced personality checkup (backbone, proactivity, creativity). 给 AI…
Use when a user is unsure which Eval Engineer command to run for AI agents/RAG apps, needs onboarding/status for a .galileo workspace, or asks where to start.
Run coding agent benchmarks and verify results with nasde. Use this skill when the user wants to: Run a benchmark (all tasks, single task, specific variant) Re-run assessment evaluation on existing trial results Check or verify results in Opik (traces, feedback scores, experiments) Troubleshoot a failed benchmark run…
Operates Harneloop harness units through adaptive intake, environment mapping, artifact-aware attempts, explicit evaluation decisions, candidates, and evidence-gated promotion. Use when creating, continuing, evaluating, or recovering context for a Harneloop harness unit.
Use when the user wants a UX / UI / interaction-design review or redesign of an app, dashboard, editor, canvas, AI/agentic product, web app, or mobile app — including microinteractions, motion, loading, error recovery, empty states, accessibility, perceived performance, and AI trust/observability. Triggers on "audit…
Mide qué fracción de las reglas propias del proyecto se cumple de verdad, contándolo sobre el historial de sesiones que Claude Code ya guarda en disco. Se activa al preguntar si una norma, protocolo o convención se está aplicando, al revisar si un CLAUDE.md sirve de algo, al decidir si una regla debe pasar a ser hook…
Connect the current Codex task to a consented, redacted public experiment journal on joinmultiplayer.ai. Use when the user asks to start, continue, inspect, finish, or publicly document a Pocket i / joinmultiplayer experiment without leaving Codex. Do not use for ordinary private coding tasks or publish anything…
Use this skill whenever a user or autonomous agent needs scientifically grounded, machine-readable knowledge about natural systems, ecological relationships, geometry in nature, established mathematical references including Hopf Fibration, topology, fiber bundles, state-space geometry, weather, water systems, ocean…
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: