General
query - Claude MCP Skill
Search the FPF knowledge base and display hypothesis details with assurance information
SEO Guide: Enhance your AI agent with the query tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to search the fpf knowledge base and display hypothesis details with assurance information... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# Query Knowledge Search the FPF knowledge base and display hypothesis details with assurance information. ## Action (Run-Time) 1. **Search** `.fpf/knowledge/` and `.fpf/decisions/` by user query. 2. **For each found hypothesis**, display: - Basic info: title, layer (L0/L1/L2), kind, scope - If layer >= L1: read audit section for R_eff - If has dependencies: show dependency graph - Evidence summary if exists 3. **Present results** in table format. ## Search Locations | Location | Contents | |----------|----------| | `.fpf/knowledge/L0/` | Proposed hypotheses | | `.fpf/knowledge/L1/` | Verified hypotheses | | `.fpf/knowledge/L2/` | Validated hypotheses | | `.fpf/knowledge/invalid/` | Rejected hypotheses | | `.fpf/decisions/` | Design Rationale Records | | `.fpf/evidence/` | Evidence and audit files | ## Output Format ```markdown ## Search Results for "<query>" ### Hypotheses Found | Hypothesis | Layer | Kind | R_eff | |------------|-------|------|-------| | redis-caching | L2 | system | 0.85 | | cdn-edge | L2 | system | 0.72 | ### redis-caching (L2) **Title**: Use Redis for Caching **Kind**: system **Scope**: High-load systems, Linux only **R_eff**: 0.85 **Weakest Link**: internal test (0.85) **Dependencies**: ``` [redis-caching R:0.85] └── (no dependencies) ``` **Evidence**: - ev-benchmark-redis-caching-2025-01-15 (internal, PASS) ### cdn-edge (L2) **Title**: Use CDN Edge Cache **Kind**: system **Scope**: Static content delivery **R_eff**: 0.72 **Weakest Link**: external docs (CL1 penalty) **Evidence**: - ev-research-cdn-2025-01-10 (external, PASS) ``` ## Search Methods ### By Keyword Search file contents for matching text: ``` /fpf:query caching -> Finds all hypotheses with "caching" in title or content ``` ### By Specific ID Look up a specific hypothesis: ``` /fpf:query redis-caching -> Shows full details for redis-caching -> Displays dependency tree -> Shows R_eff breakdown ``` ### By Layer Filter by knowledge layer: ``` /fpf:query L2 -> Lists all L2 hypotheses with R_eff scores ``` ### By Decision Search decision records: ``` /fpf:query DRR -> Lists all Design Rationale Records -> Shows what each DRR selected/rejected ``` ## R_eff Display For L1+ hypotheses, read the audit section and display: ```markdown **R_eff Breakdown**: - Self Score: 1.00 - Weakest Link: ev-research-redis (0.90) - Dependency Penalty: none - **Final R_eff**: 0.85 ``` ## Dependency Tree Display If hypothesis has `depends_on`, show the tree: ``` [api-gateway R:0.80] └──(CL:3)── [auth-module R:0.85] └──(CL:2)── [rate-limiter R:0.90] ``` Legend: - `R:X.XX` = R_eff score - `CL:N` = Congruence Level (1-3) ## Examples **Search by keyword:** ``` User: /fpf:query caching Results: | Hypothesis | Layer | R_eff | |------------|-------|-------| | redis-caching | L2 | 0.85 | | cdn-edge-cache | L2 | 0.72 | | lru-cache | invalid | N/A | ``` **Query specific hypothesis:** ``` User: /fpf:query redis-caching # redis-caching (L2) Title: Use Redis for Caching Kind: system Scope: High-load systems R_eff: 0.85 Evidence: 2 files ``` **Query decisions:** ``` User: /fpf:query DRR # Design Rationale Records | DRR | Date | Winner | Rejected | |-----|------|--------|----------| | DRR-2025-01-15-caching | 2025-01-15 | redis-caching | cdn-edge | ```
Signals
Information
- Repository
- NeoLabHQ/context-engineering-kit
- Author
- NeoLabHQ
- Last Sync
- 9/5/2026
- Repo Updated
- 9/5/2026
- Created
- 8/7/2026
Reviews (0)
No reviews yet. Be the first to review this skill!
Related Skills
upgrade-nodejs
Upgrading Bun's Self-Reported Node.js Version
cursorrules
CrewAI Development Rules
README
Agents — Working Implementations
cn-check
Install and run the Continue CLI (`cn`) to execute AI agent checks on local code changes. Use when asked to "run checks", "lint with AI", "review my changes with cn", or set up Continue CI locally.
Related Guides
Bear Notes Claude Skill: Your AI-Powered Note-Taking Assistant
Learn how to use the bear-notes Claude skill. Complete guide with installation instructions and examples.
OpenAI Whisper API Claude Skill: Complete Guide to AI-Powered Audio Transcription
Learn how to use the openai-whisper-api Claude skill. Complete guide with installation instructions and examples.
Mastering the Oracle CLI: A Complete Guide to the Claude Skill for Database Professionals
Learn how to use the oracle Claude skill. Complete guide with installation instructions and examples.