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...
发现 devops llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
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...
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...
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.
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/...
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...
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...
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...
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...
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...
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...
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
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,...
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...
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,...
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...
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
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...
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...
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...
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。