compound-docs
SolidCapture solved problems as categorized documentation with YAML frontmatter for fast lookup
AI & Automation 448 stars
121 forks Updated today NOASSERTION
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Quality Score: 82/100
Stars 20%
Recency 20%
Frontmatter 20%
Documentation 15%
Issue Health 10%
License 10%
Description 5%
Skill Content
# compound-docs Skill
**Purpose:** Automatically document solved problems to build searchable institutional knowledge with category-based organization (enum-validated problem types).
## Overview
This skill captures problem solutions immediately after confirmation, creating structured documentation that serves as a searchable knowledge base for future sessions.
**Organization:** Single-file architecture - each problem documented as one markdown file in its symptom category directory (e.g., `docs/solutions/performance-issues/n-plus-one-briefs.md`). Files use YAML frontmatter for metadata and searchability.
---
<critical_sequence name="documentation-capture" enforce_order="strict">
## 7-Step Process
<step number="1" required="true">
### Step 1: Detect Confirmation
**Auto-invoke after phrases:**
- "that worked"
- "it's fixed"
- "working now"
- "problem solved"
- "that did it"
**OR manual:** `/doc-fix` command
**Non-trivial problems only:**
- Multiple investigation attempts needed
- Tricky debugging that took time
- Non-obvious solution
- Future sessions would benefit
**Skip documentation for:**
- Simple typos
- Obvious syntax errors
- Trivial fixes immediately corrected
</step>
<step number="2" required="true" depends_on="1">
### Step 2: Gather Context
Extract from conversation history:
**Required information:**
- **Module name**: Which module or component had the problem
- **Symptom**: Observable error/behavior (exact error messages)
- **Investigation attempts...
Details
- Author
- davekilleen
- Repository
- davekilleen/Dex
- Created
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- NOASSERTION
Integrates with
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