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writing-claude-rules-skills-subagents
Guidelines for creating custom rules, custom skills, and custom subagents for Claude.
Skills IA testing security llm ai
Découvrez les skills testing security llm ai, comparez leurs dépôts et consultez leurs instructions.
Catégories: testing security llm ai
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Explorer
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skill-creator
Create new Claude Code skills following V3 DX patterns with Beads/Serena integration. MUST BE USED when creating skills. Follows tech lead proven patterns from 300k LOC case study. Use when user wants to create...
GitHub
jules-dispatch
Dispatches work to Jules agents via the CLI. Automatically generates context-rich prompts from Beads issues and spawns async sessions. Use when user says "send to jules", "assign to jules", "dispatch task", or...
GitHub
cass-search
Coding Agent Session Search (CASS) for semantic search over past agent sessions. Use when looking for how something was solved before, finding past solutions, or searching conversation history. Keywords: search...
GitHub
quantum-templ-ebook
Assists in writing ebooks 2-8 of The Quantum Templ™ System, maintaining consistency with Gate I's established voice, structure, and philosophy. Use when creating new Gate ebooks, drafting sections, or ensuring...
GitHub
claude-md-optimizer
Analyzes and optimizes CLAUDE.md files following Anthropic's official best practices. Use when reviewing existing CLAUDE.md for improvements, or when user mentions CLAUDE.md is too long or ineffective.
GitHub
llm-eval-designer
LLM生成システムの検証設計スキル。assay-kitフレームワークを活用し、LLM特有の失敗モード（幻覚、例への過学習、部分的処理）を考慮した総合的なテストケース設計を支援する。 使用タイミング: - LLMベースのワークフロー/...
GitHub
claude-md-customizer
対話形式の質問を通じてユーザーの技術的背景、開発スタイル、AI協働の好みを把握し、最適化されたCLAUDE.mdを生成するスキル。ユーザーが「CLAUDE.mdをカスタマイズしたい」「AIの振る舞いを自分に合わせたい」「開発スタイル...
GitHub
ai-led-onboarding
生成AIが人間に対して行う作業開始時オンボーディング。AIが"説明係"ではなく"進行役"として、探索→仮説→検証→要約→未確定の明示を回し、人間が最小スキーマ（因果・境界・不変条件・壊れ方・観測）を短時間で再構築できる状態...
GitHub
resolving-uncertainty
Turns ambiguity into an Uncertainty Register, prioritizes items, and produces observation tasks/experiments with evidence and decision rules. Use when the user mentions uncertainty/unknowns/assumptions/validati...
GitHub
eld-sense-activation
PCE (Process-Context Engine) のアクティブコンテキスト構築スキル。タスクに最適化されたコンテキストをコンパイルし、プロセス駆動の投入物を生成する。 トリガー条件: - 新しいタスクを開始する時（「この機能を実装して...
GitHub
reasoningbank-intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cogn...
GitHub
agentdb-performance-optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling t...
GitHub
agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
GitHub
agentdb-advanced-features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems,...
GitHub
swarm-orchestration
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building d...
GitHub
hooks-automation
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination,...
GitHub
reasoningbank-with-agentdb
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learnin...
GitHub
stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
GitHub
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
GitHub
agentdb-learning-plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, impleme...
GitHub
skill-builder
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill...
GitHub
agentdb-memory-patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intell...
GitHub
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
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.