plugins/fpf/skills/query/SKILL.md
Search the FPF knowledge base and display hypothesis details with assurance information
npx skillsauth add NeoLabHQ/context-engineering-kit queryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Search the FPF knowledge base and display hypothesis details with assurance information.
.fpf/knowledge/ and .fpf/decisions/ by user query.| 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 |
## 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 file contents for matching text:
/fpf:query caching
-> Finds all hypotheses with "caching" in title or content
Look up a specific hypothesis:
/fpf:query redis-caching
-> Shows full details for redis-caching
-> Displays dependency tree
-> Shows R_eff breakdown
Filter by knowledge layer:
/fpf:query L2
-> Lists all L2 hypotheses with R_eff scores
Search decision records:
/fpf:query DRR
-> Lists all Design Rationale Records
-> Shows what each DRR selected/rejected
For L1+ hypotheses, read the audit section and display:
**R_eff Breakdown**:
- Self Score: 1.00
- Weakest Link: ev-research-redis (0.90)
- Dependency Penalty: none
- **Final R_eff**: 0.85
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 scoreCL:N = Congruence Level (1-3)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 |
development
Add missing test coverage for your local code changes by generating new test files (covers uncommitted and untracked changes, or the latest commit if everything is committed). Use when you want write tests for new logic or increase test coverage.
testing
Apply writing rules to any documentation that humans will read. Makes your writing clearer, stronger, and more professional.
research
Iterative Five Whys root cause analysis drilling from symptoms to fundamentals
development
Update and maintain project documentation for local code changes using multi-agent workflow with tech-writer agents. Covers docs/, READMEs, JSDoc, and API documentation.