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: fid-score

英語版ディレクトリ

A Codex skill that analyzes startup URLs or product ideas to find evidence-backed potential first customers using public signals.

989
Stars
84/100
信頼
カテゴリ: marketing-growth監査

ossia score, an interactive sequencer for the intermedia arts

2.0K
Stars
74/100
信頼
カテゴリ: design-creative監査

A registry and skill layer for AI agents to discover, compare, install, and report outcomes of reusable skills.

237
Stars
80/100
信頼
カテゴリ: development監査

可能是最深度的 AI 投研报告 Skill:九章个股深研 + 九章财报深度分析,脚本化 DCF/EPV 与可复算估值

234
Stars
75/100
信頼
カテゴリ: utility監査

Block ads system-wide on Android using local VPN-based DNS filtering. No root needed. No data collection.

1.1K
Stars
84/100
信頼
カテゴリ: legal-compliance監査

Kubernetes object analysis with recommendations for improved reliability and security. kube-score actively prevents downtime and bugs in your Kubernetes YAML and Charts. Static code analysis for Kubernetes.

3.1K
Stars
83/100
信頼
カテゴリ: security監査

Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions "case report", "case presentation", "SOAP note", "clinical case", "ward rounds", "case summary", or "patient presentation".

90K
Stars
80/100
信頼
カテゴリ: design-creative監査

Run a 5-dimension expert design review on any HTML artifact in the project — Philosophy / Visual hierarchy / Detail / Functionality / Innovation, each scored 0–10. Outputs a single self-contained HTML report with a radar chart, evidence-backed scores, and three lists: Keep / Fix / Quick-wins. Use when the brief asks for a "design review", "design critique", "5 维度评审", "design audit", or "what's wrong with my design".

90K
Stars
80/100
信頼
カテゴリ: security監査

A self-learning skill layer for Claude Code that automatically distills, merges, updates, and prunes skills from real sessions.

413
Stars
75/100
信頼
カテゴリ: coding-agents監査

A meta-skill that creates, evaluates, and improves other AI agent skills with multiple modes and evidence-based validation.

133
Stars
77/100
信頼
カテゴリ: utility監査

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

34K
Stars
77/100
信頼
カテゴリ: data-analysis監査

How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.

34K
Stars
78/100
信頼
カテゴリ: design-creative監査