session-search
Search and analyze AI coding assistant session history using Terraphim. Find past conversations, discover patterns, and learn from previous work. Supports Claude Code, Cursor, Aider, and other AI coding assistants.
Essential command-line tools and system utilities.
Search and analyze AI coding assistant session history using Terraphim. Find past conversations, discover patterns, and learn from previous work. Supports Claude Code, Cursor, Aider, and other AI coding assistants.
Execute the Joseph Cognitive Baseline v2.1 (JC B-v2.1) 5-Scenario Test Suite to quantify AI alignment, friction maintenance, and protocol adherence.
Create, validate, install, convert, port, and manage Claude Code skills. Use when users want to create a new skill, validate existing skills, install from GitHub, list skills, convert MCP servers to skills, or port skills between Claude and Gemini platforms. Covers the full skill lifecycle from creation to cross-platform distribution.
Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.
AI agent requests effective code reviews through proper preparation, clear descriptions, and appropriate reviewer selection. Use when creating PRs, requesting feedback, or submitting for review.
Build persistent project knowledge using checkpoint/recall. Activates when fixing bugs, making decisions, or investigating past work. Creates automatic knowledge base through systematic checkpointing and semantic recall.
Set up effective automated discovery - from vague idea to working system in one streamlined conversation.
A production-ready pattern for integrating AI models (specifically Google Gemini) with automatic fallback, retry logic, structured output via Zod schemas, and comprehensive error handling. Use when integrating AI/LLM APIs, need automatic fallback when models are overloaded, want type-safe structured responses, or building features requiring reliable AI generation.
Kailash Kaizen - production-ready AI agent framework with signature-based programming, multi-agent coordination, and enterprise features. Use when asking about 'AI agents', 'agent framework', 'BaseAgent', 'multi-agent systems', 'agent coordination', 'signatures', 'agent signatures', 'RAG agents', 'vision agents', 'audio agents', 'multimodal agents', 'agent prompts', 'prompt optimization', 'chain of thought', 'ReAct pattern', 'Planning agent', 'PEV agent', 'Tree-of-Thoughts', 'pipeline patterns', 'supervisor-worker', 'router pattern', 'ensemble pattern', 'blackboard pattern', 'parallel execution', 'agent-to-agent communication', 'A2A protocol', 'streaming agents', 'agent testing', 'agent memory', 'agentic workflows', 'AgentRegistry', 'OrchestrationRuntime', 'distributed agents', 'agent registry', '100+ agents', 'capability discovery', 'fault tolerance', 'health monitoring', 'trust protocol', 'EATP', 'TrustedAgent', 'trust chains', 'secure messaging', 'enterprise trust', 'credential rotation', 'trust verificati
Guided workflow for reverse engineering black-box systems. Use when a user wants to decode a defunct API, replicate a competitor's feature, understand unfamiliar code, or crack a data format.
Coordinates Serena MCP knowledge graph operations for Shannon Framework. Enforces standardized entity naming (shannon/* namespace), relation creation patterns, search protocols, and observation management. Prevents orphaned entities, naming chaos, and broken context lineage. Use when: storing specs/waves/goals/checkpoints, querying Shannon history, managing knowledge graph structure, ensuring cross-wave context preservation.
Search and analyze AI coding assistant session history using Terraphim. Find past conversations, discover patterns, and learn from previous work. Supports Codex CLI, Cursor, Aider, and other AI coding assistants.
This skill should be used when the user asks to 'extract a skill from a debugging session', 'convert debugging session to skill', 'create skill from debug history', 'generate skill from troubleshooting', or mentions extracting reusable knowledge from Claude Code debugging conversations. Transforms conversation history into well-structured, reusable skills using conversation parsing and Fabric AI patterns.
Master REST API design principles to build intuitive, scalable, and maintainable APIs. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories', 'stop here', 'pause this', 'record this', 'log this'. Also use proactively when discovering valuable findings worth preserving.
Project-specific expertise for the tools-automation monorepo. Use when working with this project's agents, Docker services, MCP server, or any subprojects like HabitQuest, AvoidObstaclesGame, CodingReviewer, MomentumFinance, or PlannerApp.
Search Claude Code conversation history. Use for finding past conversations by keywords, files modified, tools used, or time range. Triggers on "find conversation", "search history", "where did I", "where did you", "when did we discuss", "find where", "look up our conversation".
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Atlas skill for designing and creating Claude Skills for project-specific codebases. USE WHEN you need to capture repeatable workflows, complex multi-step processes, or domain-specific patterns that Claude should handle consistently.
Reference guide for using PROXY_MODE with external AI models. Use when running multi-model reviews, understanding which agents support PROXY_MODE, or debugging external model integration issues.
Orchestrate PM-Agent workflows for case management, task delegation, and artifact pipeline coordination. Use when managing multi-step projects, delegating tasks to sub-agents, or tracking work through CMMN stages.