Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: bias

Annuaire en anglais

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.

18K
Stars
87/100
Confiance
Catégorie: design-creativeAudit

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

2.8K
Stars
85/100
Confiance
Catégorie: ml-automationAudit

Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks.

1.0K
Stars
72/100
Confiance
Catégorie: FinanceAudit

Measure portfolio returns, risk, drawdowns, benchmarks, rolling metrics, and strategy performance from approved data.

320
Stars
68/100
Confiance
Catégorie: FinanceAudit

A Claude skill for structured financial market intelligence using first principles and system thinking.

52
Stars
71/100
Confiance
Catégorie: finance-quantAudit

EU AI Act Compliance Tool - Risk classification and bias testing

122
Stars
66/100
Confiance
Catégorie: securityAudit

Best-practices guide for React Native VisionCamera v5 setup, migration, capture, controls, outputs, and basic frame processing. Use the separate react-native-vision-camera-realtime skill for production low-latency GPU, ML, CV, Skia or WebGPU pipelines and frame-coupled overlays.

161
Stars
58/100
Confiance
Catégorie: design-creativeAudit

Performance review checklist — hot paths, async-runtime discipline, streaming, query-client tuning, layout pre-measurement, token/cost. Load when reviewing perf-sensitive changes.

51
Stars
60/100
Confiance
Catégorie: automationAudit

How real ATS (Workday/Greenhouse/Lever/Taleo/iCIMS/Ashby) parse, score and rank in 2026; evidence-based matching; and the legal limits on automated screening (EU AI Act high-risk, NYC LL144, EEOC Title VII, GDPR Art. 22). Load for changes under commands/match_resume.rs, cover_letter.rs, validate/, documents/embed.

48
Stars
64/100
Confiance
Catégorie: automationAudit

Parallel divergent ideation — spawns N isolated generator agents under different cognitive frames (regulator, biology, speedrunner, 10-year-old, zero-budget), then a critic pass scores, clusters, prunes traps, and deepens the top 3. Use for open-ended design, architecture, naming, API/SDK surface, and fuzzy debugging where the obvious answer is expensive to get wrong. Triggers "/adhd", "adhd mode", "brainstorm", "ideate", "widen the option space", "divergent ideas", "we keep landing on the same idea". Skip for lookups, syntax, bugs with a known root cause, or closed phrasing ("quick", "standard", "canonical", "textbook"). Use /oracle compare to evaluate options you already have — adhd generates the option space; use /plan-ceo-review to challenge whether to build at all.

42
Stars
66/100
Confiance
Catégorie: design-creativeAudit

Discover evidence-backed customer language, pain points, objections, and buying triggers from relevant Reddit communities. Use when asked for Reddit research, voice-of-customer analysis, audience pain points, product feedback, or community-led content opportunities.

31
Stars
64/100
Confiance
Catégorie: researchAudit