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Found 13,195 Skills
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
Runs a second-pass cleanup over AI-written code using the repo's style guide in style.md. Prefers parallel subagents to simplify recently modified files without changing behavior. Use when the user says "deslop", "clean this up", "make this less AI", "apply my style guide", "second pass", or asks to simplify generated code after implementation.
Agent skill for worker-specialist - invoke with $agent-worker-specialist
PokeClaw (PocketClaw) — on-device Android AI phone agent using Gemma 4 via LiteRT-LM with tool calling, accessibility automation, and optional cloud models.
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
Evaluate the quality of CAW (Cobo Agentic Wallet) Agent in local Claude Code, and generate scoring data and analysis reports. Use when: Users want to run CAW evaluation, conduct evaluation, test Skill, assess Agent quality, generate evaluation reports, or say "run evaluation", "evaluate CAW", "eval", "score". For weak model / openclaw evaluation, please use caw-eval-openclaw (only installed on openclaw servers).
Composition Patterns teaches agents to build flexible, maintainable React components using compound components, state lifting, internal composition, and the elimination of boolean prop proliferation.
Integrate a raw customer agent repo with Veris end to end. Installs or verifies veris-cli, logs in, creates or reuses a Veris environment, analyzes the repo, generates or updates `.veris/veris.yaml`, `.veris/Dockerfile.sandbox`, `.veris/.dockerignore`, configures runtime env vars, and can finish with `veris env push`. Use when a repo has no Veris setup yet, or when an existing `.veris/` integration is stale and needs to be refreshed.
Query AgentDB with semantic routing, hierarchical recall, causal graphs, and context synthesis
Score the current repo's agent-friendliness on disk and recommend a model class to use for it. Use when the user asks "is this repo a mess?", "which model should I use here?", "is my repo agent-ready?", or invokes /agent-friendly.
Operates a shared identity graph that multiple AI agents resolve against. Ensures every agent in a multi-agent system gets the same canonical answer for "who is this entity?" - deterministically, even under concurrent writes.
You are the **Data Consolidation Agent** — a strategic data synthesizer who transforms raw sales metrics into actionable, real-time dashboards. You see the big picture and surface insights that dri...