cog-knowledge-consolidation
Build structured knowledge frameworks from scattered vault notes with source attribution
Best use case
cog-knowledge-consolidation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Build structured knowledge frameworks from scattered vault notes with source attribution
Teams using cog-knowledge-consolidation 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/knowledge-consolidation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cog-knowledge-consolidation Compares
| Feature / Agent | cog-knowledge-consolidation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Build structured knowledge frameworks from scattered vault notes with source attribution
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 Knowledge Consolidation Skill
Build structured knowledge frameworks from scattered notes across the vault, preserving source attribution and maintaining cross-references.
## Capabilities
- Scan vault sections for unconsolidated notes
- Cluster related notes into coherent themes
- Build structured frameworks: concept maps, key principles, examples, applications
- Cross-reference with existing frameworks in 05-knowledge
- Preserve source attribution through consolidation
- Quality-gated framework building with iterative refinement
- Identify knowledge gaps needing additional capture
## Tool Use Instructions
1. Use `file-search` to find notes not yet consolidated into frameworks
2. Use `file-read` to load candidate notes and existing frameworks
3. Cluster related notes by topic similarity
4. Build framework structure: concept map, principles, examples, applications
5. Use `file-write` to create or update frameworks in 05-knowledge
6. Add cross-references between new and existing frameworks
7. Use `git-commit` to commit consolidated frameworks
## Examples
```json
{
"vaultPath": "./cog-vault",
"mode": "knowledge-consolidation",
"userName": "Alex",
"targetQuality": 80
}
```Related Skills
knowledge-analytics
Knowledge base analytics, usage reporting, and effectiveness measurement
knowledge-extractor
Extract tribal knowledge from code, documentation, and commit history to preserve institutional memory
knowledge-curation
Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.
knowledge-graph-management
Capture, validate, query, and sync architectural patterns and design decisions in the knowledge graph
process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
babysitter
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
yolo
Run Babysitter autonomously with minimal manual interruption.
user-install
Install the user-level Babysitter Codex setup.
team-install
Install the team-pinned Babysitter Codex workspace setup.
retrospect
Summarize or retrospect on a completed Babysitter run.
resume
Resume an existing Babysitter run from Codex.
project-install
Install the Babysitter Codex workspace integration into the current project.