GitHub
webgpu
WebGPU compute pipelines, texture pooling, buffer management, and spatial hashing. Use when working on GPU shaders, optimizing performance, or debugging rendering issues.
Skills IA Entreprise
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Explorer
GitHub
lenia-core
Core Lenia engine API, stable parameters, multi-species presets, and growth functions. Use when working on the simulation engine, configuring organisms, or debugging parameter issues.
GitHub
discovery
Genetic algorithm, fitness evaluation, novelty search, and self-replication detection. Use when implementing evolutionary search, evaluating organism fitness, or detecting emergent behaviors.
GitHub
3d-lenia
3D volumetric Lenia engine, presets, slice visualization, and GPU pipeline. Use when working on 3D simulation, volumetric rendering, or 3D organism presets.
GitHub
user-manual
エンドユーザー向けのマニュアル（USER_GUIDE.md）を生成・更新します。「ユーザーマニュアル更新」「マニュアル生成」「ユーザーガイド作成」などのリクエストで使用します。
GitHub
documentation-sync
コードベースを分析してドキュメント（README.md、docs/roadmap.md、docs/architecture.mdなど）を最新状態に更新します。「ドキュメント更新」「ロードマップ更新」「進捗まとめ」などのリクエストで使用します。
GitHub
doc-consistency
AGENTS.md と CLAUDE.md の整合性をチェックし、同期します。「ドキュメント整合性チェック」「AGENTS.md 同期」などで使用します。
GitHub
api-endpoint
バックエンドに新しいAPIエンドポイントを追加します。「APIエンドポイント追加」「新しいエンドポイント」「REST API作成」などのリクエストで使用します。
GitHub
update-readme
Keep all README files aligned with the current codebase by rewriting setup steps, removing outdated content, and syncing documentation to the latest repository state whenever asked to update, refresh, or sync R...
GitHub
ghostty-translate-docs
ghosttyドキュメントの日本語訳を作成
GitHub
security
Security Engineer and application security expert. Performs threat modeling, security architecture review, penetration testing, vulnerability assessment, and security compliance. Handles OWASP Top 10, authentic...
GitHub
toml-command-builder
Guide for building Gemini CLI TOML custom commands. Covers syntax, templates, argument handling, shell injection, and file injection. Use when creating Gemini TOML commands, adding {{args}} argument handling, i...
GitHub
ai-governance
AI governance and responsible AI planning including EU AI Act classification, NIST AI RMF, and AI ethics frameworks
GitHub
fact-checker
AI tool that analyzes language and context to identify potential misinformation and fact-check claims made by public figures
GitHub
gemini-extension-development
Expert guide for building and managing Gemini CLI Extensions. Covers extension anatomy, GEMINI.md context, commands, MCP integration, and publishing. Use when creating Gemini extensions, linking local extension...
GitHub
bias-assessment
Evaluate AI systems for fairness using demographic parity, equalized odds, and bias detection techniques with mitigation strategies.
GitHub
license-compliance
Open source license compliance including compatibility analysis, obligations tracking, and compliance workflows
GitHub
sbom-management
Software Bill of Materials management including generation, formats, vulnerability tracking, and supply chain security
GitHub
model-selection
Select appropriate AI/ML models based on capability matching, benchmarks, cost-performance tradeoffs, and deployment constraints.
GitHub
downstream-notifier
Automated email notification system for EU AI Act Article 13 compliance, featuring codebase change summarization and documentation distribution.
GitHub
incident-responder
EU AI Act Article 73 compliance specialist for serious incident detection, classification, 15-day reporting timeline tracking, remediation workflow, and regulatory notification. AI-assisted automation with huma...
GitHub
explainability-planning
Plan explainable AI (XAI) requirements including SHAP, LIME, attention visualization, and regulatory explainability needs.
GitHub
gemini-memory-sync
Synchronization patterns for CLAUDE.md and GEMINI.md memory files. Covers import syntax, drift detection, and one-way sync. Use when setting up GEMINI.md, detecting context drift between memory files, understan...
GitHub
ethics-review
AI and technology ethics review including ethical impact assessment, stakeholder analysis, and responsible innovation frameworks
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.