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: simplification

Annuaire en anglais

Very fast Python line simplification using either the RDP or Visvalingam-Whyatt algorithm implemented in Rust

194
Stars
67/100
Confiance
Catégorie: geo-scienceAudit

A collection of reusable AI agent skills for coding assistants, including commit generation, code review, simplification, and ZenTao task management.

159
Stars
77/100
Confiance
Catégorie: coding-agentsAudit

A curated collection of reusable AI agent skills following the Agent Skills open format, designed to extend coding agents with specialized capabilities.

181
Stars
72/100
Confiance
Catégorie: coding-agentsAudit

Sector-specific Plain Language standard for legal communication (ISO 24495-2:2025). Applied during contract drafting, license review, and legal/compliance writing.

89
Stars
67/100
Confiance
Catégorie: securityAudit

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
Confiance
Catégorie: automationAudit

Sector-specific Plain Language standard for science and technical writing (ISO 24495-3:2026). Applied during software documentation, architecture specs, and technical analysis.

89
Stars
61/100
Confiance
Catégorie: researchAudit

Autonomous skill-prompt optimization — Karpathy-style mutate/score/keep loop on SKILL.md. Triggers "autoresearch", "optimize skill", "tune", "evolve" a skill, "prompt optimization".

42
Stars
62/100
Confiance
Catégorie: researchAudit

Using a combination of Excel, SQL, and Tableau, I delved into the extensive datasets comprising over 82k rows of data from Netflix's shows and movies library. Through data simplification and analysis, I uncovered fascinating insights and intriguing facts about the content available on the platform.

112
Stars
58/100
Confiance
Catégorie: data-analysisAudit

Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production.

16
Stars
61/100
Confiance
Catégorie: researchAudit

Build PFC 5.0 asphalt-mixture specimens with explicit aggregate objects, a declared homogenized-mastic or fine-particle abstraction, residual air voids, measured gradation conversion, contact-pair assignment, compaction, equilibrium, and mass-volume closure; use before Marshall, rutting, creep, or strength tests.

17
Stars
58/100
Confiance
Catégorie: researchAudit

Review changed code for YAGNI, removable over-complexity, reuse, code quality, and efficiency, then apply worthwhile simplifications. Use when the user asks to simplify, clean up, tighten, de-hack recent changes, identify logic that can be dropped, or review whether added safeguards and edge-case handling are actually needed.

13
Stars
58/100
Confiance
Catégorie: coding-agentsAudit