By ddunnock
Semantically search IEEE, INCOSE, and ISO systems engineering standards. Retrieve relevant knowledge snippets and apply RAG to ground your engineering specifications using a local Python MCP server with Qdrant vector database and OpenAI embeddings.
Requires secrets
Needs API keys or credentials to function
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npx claudepluginhub ddunnock/claude-plugins --plugin knowledge-mcpStream long-form content to markdown files with resume capability and context preservation
Transform documentation using the Diátaxis framework
Walk through the NASA Phase A concept development lifecycle: ideation, problem definition, black-box architecture, drill-down with gap analysis, and document generation. Produces concept documents and solution landscape summaries with cited research. Includes 7 specialized agents (ideation, problem analysis, architecture, domain research, gap analysis, skeptic verification, document writing), 6 scripts (session management, source/assumption tracking, web research with crawl4ai), 9 commands, hooks for automatic state updates, and tiered research tool detection. Use when developing a concept, exploring a new idea, brainstorming a system concept, running Phase A, creating a concept document, or conducting feasibility studies.
Deep test, analyze, and audit Claude skills. Use this skill whenever the user wants to test a skill's behavior, analyze how it uses the Claude API, inspect inputs/outputs from scripts, or run security and code review audits against skill scripts. Trigger on: "test my skill", "analyze this skill", "audit skill scripts", "review skill for security issues", "what does this skill actually do when it runs", "inspect API calls from skill", "run a skill through its paces", "check my skill for bugs or vulnerabilities". Also trigger when the user shows you a SKILL.md and asks you to evaluate, critique, or stress-test it.
Transform concept development artifacts into INCOSE-compliant formal requirements. AI-assisted requirements development with hybrid quality checking (16 deterministic + 9 semantic INCOSE GtWR v4 rules), verification planning, bidirectional traceability, gap analysis against concept architecture, assumption lifecycle management, and ReqIF export. Organized around functional blocks from concept development. Includes cross-cutting notes registry, need/requirement split workflow, gap discovery agent, assumption tracker, 5 specialized agents (quality-checker, tpm-researcher, skeptic, gap-analyst, document-writer), 16 scripts, 10 commands, and hooks for automatic state updates. Use when developing requirements, formalizing needs, writing specifications, building traceability, analyzing coverage gaps, managing assumptions, or preparing for systems engineering reviews.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Permanent coding companion for Claude Code — survives any update. MCP-based terminal pet with ASCII art, stats, reactions, and personality.
Official GitHub MCP server for repository management. Create issues, manage pull requests, review code, search repositories, and interact with GitHub's full API directly from Claude Code.