Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: dispatch

英語版ディレクトリ

A Claude Code skill that 10x's your effective context window by dispatching tasks to background AI workers.

405
Stars
65/100
信頼
カテゴリ: coding-agents監査

ccteam turns the coding agents you already run (Claude Code, Codex, Grok, Kimi…) into one team — any session can spawn, dispatch, and collect work from any vendor on any machine, while you steer it all from Telegram, Lark, or a browser tab. 把你在用的编程 agent 编成一支团队,跨厂商跨机器派活,Telegram/飞书/网页统一指挥。

160
Stars
75/100
信頼
カテゴリ: utility監査

Audio generation skill — jingles, beds, voiceover, and sound effects. Routes music requests to Suno V5 / Udio / Lyria, speech to MiniMax TTS / FishAudio / ElevenLabs V3, and SFX to ElevenLabs SFX or AudioCraft. Output is one MP3/WAV file saved to the project folder.

90K
Stars
69/100
信頼
カテゴリ: design-creative監査

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.

34K
Stars
77/100
信頼
カテゴリ: research監査

A plugin for Claude Code that adds a router, specialist agents, skills, and workflows to engineer the loop and persist artifacts across runs.

153
Stars
75/100
信頼
カテゴリ: coding-agents監査

A GitHub action that facilitates "ChatOps" by creating repository dispatch events for slash commands

695
Stars
70/100
信頼
カテゴリ: automation監査

A GitHub Action for triggering workflows, using the `workflow_dispatch` event

383
Stars
67/100
信頼
カテゴリ: github-automation監査

A strict Flutter architecture skill for AI agents enforcing Riverpod, Freezed, GoRouter patterns with local enforcement.

21
Stars
66/100
信頼
カテゴリ: coding-agents監査

Dispatch less. Deliver more. Multi-agent dispatch governance for reliable delivery.

54
Stars
68/100
信頼
カテゴリ: agent-frameworks監査

Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction.

409
Stars
61/100
信頼
カテゴリ: design-creative監査

Where things live in the portal-tunnel repo (sdk/portal/types/utils/cmd/discovery/x402/frontend/extensions) and where new code belongs. Use when locating functionality or deciding where to add code.

263
Stars
69/100
信頼
カテゴリ: coding-agents監査
cpp62

Design, implement, and review modern C++ APIs and native implementation code. Use when working on .cpp, .hpp, CMake, RAII ownership, std::variant, callbacks, async work, platform bridges, or C++-backed React Native Nitro Module implementations.

161
Stars
62/100
信頼
カテゴリ: design-creative監査