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Found 6,251 Skills
Multi-agent swarm orchestration where AI agents spawn, coordinate, and self-organize into collaborative teams. Use when running parallel AI agent tasks, orchestrating multi-agent workflows across Claude Code / Codex / Cursor / custom agents, isolating agent workspaces via git worktrees, tracking task dependencies across agents, or running autonomous experiments. Triggers on: clawteam, agent swarm, spawn agents, multi-agent team, agent orchestration, parallel agents, agent coordination, swarm intelligence, agent spawn, clawteam spawn, agent worktree, agentic team, ml agent experiments, autonomous agents, agent team.
Ping-pong TDD 세션의 첫 번째 단계. TrackerBoot MCP에서 스토리를 가져오거나 직접 붙여넣은 스토리 내용을 받아들이고, 프로젝트 스택과 컨벤션을 감지하며, 협력하여 태스크 분해를 계획하고, /tdd-task와 /tdd-commit이 사용할 .tdd-session.md 파일을 작성합니다.
프로젝트에 E2E 테스트 환경을 설정합니다. 글로벌 도구 설치 체크, Chrome Beta 확인, e2e/ 인프라 코드 배포. Use when: "e2e 세팅", "e2e setup", "E2E 환경 설정", "E2E 초기 설정" 키워드.
Use when user wants to post to social media (Twitter, LinkedIn, Instagram, TikTok, YouTube, Bluesky, etc.), schedule posts across platforms, or manage social media content via Zernio
ProdPad integration. Manage data, records, and automate workflows. Use when the user wants to interact with ProdPad data.
Digiteal integration. Manage data, records, and automate workflows. Use when the user wants to interact with Digiteal data.
SmartrMail integration. Manage data, records, and automate workflows. Use when the user wants to interact with SmartrMail data.
Otter Waiver integration. Manage data, records, and automate workflows. Use when the user wants to interact with Otter Waiver data.
Autonomous LLM training optimization with GPU support. Runs 5-minute training experiments, measures val_bpb, keeps improvements or reverts — repeat forever. Use this skill when the user asks to "train a model autonomously", "optimize LLM training", "run ML experiments", "autoresearch with GPU", "optimize val_bpb", "autonomous ML training", "LLM pretraining loop", "setup ML autoresearch", "GPU training experiments", "pretrain from scratch", "speed up training", "lower my loss", "GPU optimization", "CUDA training", or mentions "train.py", "prepare.py", "bits per byte", "val_bpb", "NVIDIA GPU training", "RTX training", "H100 training", "autonomous model training", "consumer GPU training", "low VRAM training". Always use this skill when the user wants to autonomously optimize any ML training metric.
Retrieve a GitHub issue using the `gh` CLI, analyze it, and spawn a PM + developer team to address it. Accepts an issue URL, issue number, or `owner/repo#number`.
Bitquery integration. Manage data, records, and automate workflows. Use when the user wants to interact with Bitquery data.
Google Cloud Translate integration. Manage data, records, and automate workflows. Use when the user wants to interact with Google Cloud Translate data.