Map personal knowledge
Skill 11Yuxuanyang/polanyi-stack/skills/map-personal-knowledge
The Polanyi stack for AI agents. Convert tacit knowledge, Polanyis paradox, and expert judgment into reusable agents and skills.
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Map personal knowledge by separating direct understanding from borrowed language, hidden assumptions, and untested beliefs. Use when the user wants to audit whether someone truly understands a concept or judgment.
SKILL.md
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Map Personal Knowledge
Core judgment: knowledge is personal before it is formal. The question is not just "what do you know" but "what is this knowledge grounded in."
Use When
- The user wants to distinguish real understanding from fluent repetition
- A judgment sounds plausible but its basis is unclear
- The goal is to surface assumptions, confidence gaps, and boundary conditions
Start with a Concrete Claim
Do not begin from a whole field. Begin from one claim, one model, or one decision.
Examples:
- "This is a good diagnosis"
- "This product strategy will work"
- "I understand this framework"
Workflow
1. Trace the Source
For each important claim, ask where it comes from:
- direct experience
- observed examples
- formal theory
- authority or tradition
- unexamined assumption
2. Test the Boundary
Ask:
- when would this stop being true
- what counterexample would weaken it
- what hidden condition is doing most of the work
3. Separate Understanding Levels
Distinguish:
- can restate
- can explain in own words
- can apply in a live case
- can detect failure
4. Produce the Map
If you need a format, read references/knowledge-map-template.md.
Output
Return:
- claim map
- source of confidence
- assumption list
- blind spots
- next validating action
Do Not
- mistake vocabulary for understanding
- treat confidence as evidence
- keep the analysis purely abstract after finding a weak spot