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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.
Use when building retrieval-augmented generation systems. Covers chunking strategies, embedding models, vector databases, retrieval patterns, and hybrid search. Apply when adding knowledge bases, document Q&A, or semantic search to applications.
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.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Use when testing Claude Code plugins programmatically, building SDK applications, encountering plugin loading failures (plugins array empty), getting AttributeError on message.type, or needing verified Claude Agents SDK Python patterns - provides complete reference for correct message handling (isinstance not .type), plugin loading (setting_sources required), content block iteration, and all working patterns from official documentation
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.
AI产品经理,整套"0基础 AI 协同开发系统"的源头角色与项目总导演。将自然语言需求转换为可执行的产品规划与标准化任务卡,协调 Backend/Frontend/SCF/QA/Reviewer/Deploy/Billing Guard 多部门有序并行交付。遵循易用性优先、契约优先、门禁治理、MVP-first 的工程基线。适用于收到自然语言需求时使用。
Initialize project.faf files when starting new projects, when user asks to set up AI context, create project DNA, or needs persistent context. Automatically detects project type (React, TypeScript, Next.js, Svelte, etc.), generates appropriate IANA-registered format (application/vnd.faf+yaml), and creates project.faf in repository root. Use when user mentions "context", "project setup", "AI-readiness", or "FAF".
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
U-llm-sdk and claude-only-sdk patterns. Use when working on projects with LLM service, designing LLM integrations, or implementing AI-powered features.
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.
NVIDIA Isaac Sim and Isaac ROS integration patterns for Physical AI applications.
Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently
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.
Use when designing AI agents or chatbots, when raw model outputs feel like a black box, or when building natural language interfaces that need structure and trust
Guide for creating high-quality Agent Skills following the open standard (agentskills.io). Use this when asked to create or update a skill, write a SKILL.md file, convert custom instructions or chatmodes into portable skills, or design specialized AI agent capabilities.
