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: celery-beat

英語版ディレクトリ

AI video skill for Claude Code & Codex — cinematic product videos with Remotion: 106 shot recipe cards, 161 motion previews, a production-ready template

1.8K
Stars
79/100
信頼
カテゴリ: utility監査

Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context.

3.2K
Stars
72/100
信頼
カテゴリ: Finance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 Claude Code custom skill for generating structured Chinese prompts for ByteDance's Seedance 2.0 AI video generation platform.

2.2K
Stars
72/100
信頼
カテゴリ: media監査

Composable AI skills that teach coding assistants structured engineering discipline for design, implementation, review, and team standards.

163
Stars
73/100
信頼
カテゴリ: development監査

Turn any domain folder of skills into a bounded agentic loop: compile a goal into a verifiable task plan, execute tasks with the domain's own tools, verify every task with machine-run checks, retry with caps, escalate to a human when budgets exhaust, and refuse to close until everything is verified or explicitly waived. Use when you want an agent or subagent to pick up a goal and drive it to a verified close across one of this repo's 18 domains ('run this goal through the engineering harness', 'set up an agentic loop for marketing work', 'make the finance domain self-verifying'). NOT for authoring Claude Code Workflow-tool .js scripts (workflow-builder), N-agent tournaments on one task (agenthub), single-file metric optimization (autoresearch-agent), or discovering published loop recipes (loop-library).

25K
Stars
72/100
信頼
カテゴリ: research監査

:zap: A distributed crawler for weibo, building with celery and requests.

4.8K
Stars
70/100
信頼
カテゴリ: data-analysis監査

AI agent skills for Upwork freelancers, from a real Top Rated Plus playbook. Free, open, community-written. Not affiliated with Upwork.

88
Stars
68/100
信頼
カテゴリ: utility監査

Create, edit, or fix Lottie/Bodymovin JSON animations for the local Skia Skottie player. Use for text-to-Lottie, SVG/logo/type animation, loaders/icons, state feedback, UI microinteractions, lower thirds, diagrams, data/stat/chart animations, product promos, scene/camera motion, visual effects, scene edits, slots/controls, and Skottie debugging.

5.3K
Stars
75/100
信頼
カテゴリ: design-creative監査

Open-source AI humanizer that iteratively rewrites AI text against live detector scores, packaged as a Claude Code skill and CLI.

12
Stars
63/100
信頼
カテゴリ: utility監査

Prepare a winning hackathon submission. Use when the user says "hackathon submission", "submit to hackathon", "demo script", "demo video", "which track should I enter", "Colosseum", "help me win the hackathon", or asks about hackathon grants and Superteam Earn.

97
Stars
68/100
信頼
カテゴリ: design-creative監査

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

482
Stars
59/100
信頼
カテゴリ: finance監査