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Found 2,174 Skills
Repository structure methodology for maximum AI agent effectiveness. Three pillars — context engineering (repo as knowledge product), architectural constraints (deterministic enforcement), garbage collection (active entropy fighting). Use when setting up repos for AI development, diagnosing repeated agent failures, writing AGENTS.md, or designing CI gates and structural tests.
Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
42-skill marketing division for AI coding agents. 7 specialist pods covering content, SEO, CRO, channels, growth, intelligence, and sales. Foundation context system + orchestration router. 27 Python tools (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
Agent Teams Orchestration Playbook for Claude Code. This skill should be used when the user requests to "create agent teams", "use agent swarm", "set up multi-agent collaboration", "orchestrate agents", "coordinate parallel agents", "organize team collaboration", "build agent teams", "implement swarm orchestration", "set up multi-agent system", "coordinate agent collaboration", or needs guidance on adaptive team formation, quality gates, skill discovery, task distribution, team coordination strategies, or Agent Teams best practices. It should also be used when the user mentions terms like "multi-agent", "agent collaboration", "agent orchestration", "parallel agents", "divisional collaboration", "assemble a team", "put together a team", "multi-agent collaboration", "swarm orchestration", "agent team". Note: "swarm" is a generic industry term; Claude Code's official concept is "Agent Teams".
Session management — restores terminal tab name, user preferences, and context bookmarks on session start. Auto-invoked at session start via AGENTS.md. Also invokable manually to change preferences or bookmark context for the next session.
Create and manage Agent Builder agents and custom tools in Kibana. Use when asked to create, update, delete, test, or inspect agents or tools in Agent Builder.
Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.
Audit and sync AI agent configuration files (CLAUDE.md, CODEX.md, AGENTS.md, .cursorrules, hooks, settings) across workspaces. Use when agent configs drift, rules duplicate, files go stale, or after workspace restructuring.
Migrate TypeScript library projects from tsup to tsdown. Provides complete option mappings, config transformation rules, default value differences, and unsupported option alternatives so AI agents can intelligently perform migrations.
Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.
Generate an ethos/ folder that captures a project's vision, principles, personas, and non-goals — the 50k-foot "why behind the what." Use when the user wants to establish project philosophy, define guiding principles, document who the product is for, or create foundational context that agents and humans can reference for decision-making. Triggers: "create an ethos", "define project principles", "document our vision", "set up project philosophy", "who is this product for."
Use this skill when building with the okfetch library. It helps agents choose between @okfetch/fetch, @okfetch/api, and @okfetch/logger, and shows the expected Result-based and Zod-based usage patterns.