Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: average

Englisches Verzeichnis

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
Trust
Kategorie: securityAudit
MAP72

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

3.0K
Stars
72/100
Trust
Kategorie: robotics-iotAudit

Always-on token-efficiency skill for coding agents (Claude Code, Codex, Cursor, Windsurf, Cline). ~31% lower bill on average, no loss of correctness.

556
Stars
60/100
Trust
Kategorie: coding-agentsAudit

Largest C# stock indicator library with over 750 to choose from and easiest to use with abilities such as making an indicator out of any other indicator or using any moving average with any indicator.

251
Stars
70/100
Trust
Kategorie: financeAudit

A domain-rigor skill for thermal-fluid mechanical engineering research, packaging agent workflows for Codex and Claude Code to enforce physical validity in analysis, writing, and data interpretation.

14
Stars
66/100
Trust
Kategorie: researchAudit

Analyze a GitHub Actions integration test run and produce a skill invocation report with failure root-cause issues. TRIGGERS: analyze test run, skill invocation rate, test run report, compare test runs, skill invocation summary, test failure analysis, run report, test results, action run report

244
Stars
70/100
Trust
Kategorie: coding-agentsAudit

Analyze labor productivity from site data. Compare planned vs actual, identify trends, benchmark against industry standards.

282
Stars
63/100
Trust
Kategorie: data-analysisAudit

Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.

304
Stars
67/100
Trust
Kategorie: robotics-iotAudit

Hold every response to the ISO 24495 plain-language rules, and route to the sector skills. Codex has no output style, so these rules are a skill.

89
Stars
67/100
Trust
Kategorie: coding-agentsAudit

A collection of Markdown rules that equip AI coding assistants with sharp defaults, engineering judgment, and self-checking discipline.

12
Stars
65/100
Trust
Kategorie: coding-agentsAudit

Core Plain Language standard (ISO 24495-1:2023). Governs all user-facing responses to ensure clear, structured, findable, understandable, and actionable output.

89
Stars
67/100
Trust
Kategorie: automationAudit