cog-braindump-capture
The cog-braindump-capture skill accepts unstructured thoughts and automatically classifies them into personal, professional, or project-specific domains, then routes them to appropriate vault sections with metadata tags. Use this when you need to quickly capture raw ideas without manually organizing them, relying on automatic domain separation and cross-referencing to maintain vault structure.
git clone --depth 1 https://github.com/a5c-ai/babysitter /tmp/cog-braindump-capture && cp -r /tmp/cog-braindump-capture/library/methodologies/cog-second-brain/skills/braindump-capture ~/.claude/skills/cog-braindump-captureSKILL.md
- Classify content into personal, professional, and project-specific domains
- Extract embedded URLs for separate processing
- Route classified content to appropriate vault directories
- Tag entries with metadata: date, domain, confidence, topics
- Maintain strict domain separation (02-personal vs 03-professional)
- Quality-gated capture with iterative refinement
## Tool Use Instructions
1. Use `file-read` to load user profile from 00-inbox for classification context
2. Classify content by domain using natural language analysis
3. Use `file-write` to create classified entries in appropriate vault directories
4. Use `file-search` to find related existing entries for cross-referencing
5. Use `file-write` to add cross-references to new and existing entries
6. Use `git-commit` to commit captured content
## Examples
```json
{
"vaultPath": "./cog-vault",
"captureType": "braindump",
"content": "Had a great idea about the auth system redesign. Also need to book vacation for July. The React 19 features look promising for our dashboard project.",
"targetQuality": 80
}
```Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
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This skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues", "process babysitter issues", or wants to find and work on open GitHub issues assigned to a5c-agent in the babysitter repo.