cog-braindump-capture

Capture raw thoughts with automatic domain classification and vault routing

509 stars

Best use case

cog-braindump-capture is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Capture raw thoughts with automatic domain classification and vault routing

Teams using cog-braindump-capture should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/braindump-capture/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/methodologies/cog-second-brain/skills/braindump-capture/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/braindump-capture/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How cog-braindump-capture Compares

Feature / Agentcog-braindump-captureStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Capture raw thoughts with automatic domain classification and vault routing

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# COG Braindump Capture Skill

Capture raw, unstructured thoughts and automatically classify them by domain (personal, professional, project-specific) for routing to appropriate vault sections.

## Capabilities

- Accept raw braindump text of any format
- 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
}
```

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