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Found 179 Skills
Provides information about how to create, structure, install, and audit Agent Skills, Plugins, Antigravity Workflows, and Sub-agents. Trigger this when specifications, rules, or best practices for the ecosystem are required.
Configure and orchestrate Claude Code agent teams (TeamCreate, SendMessage, TaskUpdate workflow). Use when you need multiple agents working in parallel on a complex task, want to coordinate background agents with messaging, or are setting up a lead/teammate architecture with a shared task list. Teams are experimental — enable with --enable-teams flag.
Audit and optimize Claude Code configuration with dynamic best-practice research
Use when the user wants stable structured fields, required keys, reliable machine-readable sections, or downstream-consumable output from one model request, including `.output(...)`, field ordering, and `ensure_keys`.
Reset the FPF reasoning cycle to start fresh
Shape conversation context (or a fresh task description) into a 5-part brief — Context / Task / Constraints / Verification / Output format — ready to hand off to an agent. Use when the user is ready to execute a task and wants it structured first. Composes naturally with /grill-me upstream, but works standalone too. Triggers: "/create-brief", "draft a brief", "shape this into a brief", "turn this into a task spec", "write a brief for this".
Anthropic integration. Manage data, records, and automate workflows. Use when the user wants to interact with Anthropic data.
Creates or audits a Claude Code subagent file. Use when user says 'create an agent', 'build a subagent', 'review this agent', 'audit our agents', 'add a code-reviewer agent', or 'our agents are too broad'. Do NOT use for skills (use create-or-audit-skill), hooks (use create-or-audit-hook), or CLAUDE.md files (use create-or-audit-claude-md).
Use this when users need to collect research materials for an article or topic by gathering YouTube videos and web articles into a NotebookLM notebook, then running analysis queries and saving the results as markdown. It is ideal for requests like "collect materials", "find relevant videos and articles on this topic for me", and "organize for NotebookLM analysis". This skill combines yt-dlp YouTube search, NotebookLM `nlm` CLI research, and markdown report output.
Adaptive multi-agent framework for automated data science tasks with planning, execution, and validation
INVOKE THIS SKILL for Arize Prompt Hub and `ax prompts` workflows: author or import templates and save (Workflows A–B), label/promote (C), or list/get/edit/delete/duplicate (D). Use when the user mentions ax prompts, Prompt Hub, creating/editing/saving a prompt, `{variable}` placeholders, or production/staging labels. For improving prompt text using traces or eval scores, use arize-prompt-optimization. For running experiments, use arize-experiment.
Mark a checkpoint in the current conversation — compact it into a durable handoff document so a fresh agent can resume the work without context loss. Use when the user wants to preserve session state for a later or parallel session — phrases like "hand this off", "write a handoff", "drop a wheypoint", "checkpoint this", "compact the conversation", "I'm running low on context", "save where we are for the next session", "prep a handoff for another agent", "/wheypoint". Use even when the user just says "wrap up" or "I need to clear context" mid-task. Do NOT use for per-phase pipeline handoffs — those belong to `/cook`, `/press`, `/age`, and `/cure`.