unknowns-domain-bootstrap
Skill2 starsChanged 4 months agoMITView on GitHub
Teach the user enough domain vocabulary and mental models to prompt accurately. Use when the user says they do not understand a domain, lacks the right words, asks to learn their unknown unknowns, or needs practitioner vocabulary before asking Codex to do unfamiliar work.
In this repository11 other files it gives its agents.
- know-your-unknownsSkill
- unknowns-blindspot-passSkill
- unknowns-buy-in-docSkill
- unknowns-design-directionsSkill
- unknowns-implementation-notesSkill
- unknowns-intervention-brainstormSkill
- unknowns-merge-quizSkill
- unknowns-mock-before-wireSkill
- unknowns-reference-mapSkill
- unknowns-spec-interviewSkill
- unknowns-tweakable-planSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
Stop condition: the user can ask the next question using the domain's real distinctions.
- Distinctive: line 23
Use HTML when sliders, before/after comparisons, glossary sidebars, diagrams, or presets let the user feel the distinction.
- Distinctive: line 25
Do not over-teach. Teach only enough to make the next prompt precise.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Unknowns Domain Bootstrap
Workflow
Turn a vague domain ask into promptable vocabulary.
Return:
- The naive framing and why it is too low-resolution.
- A beginner mental model.
- A vocabulary ladder: everyday phrase -> practitioner term -> why the distinction matters.
- Common traps, false friends, and decisions the user probably did not know existed.
- 3-6 prompts the user could not have written before the bootstrap.
- Stop condition: the user can ask the next question using the domain's real distinctions.
Artifact Use
Use HTML when sliders, before/after comparisons, glossary sidebars, diagrams, or presets let the user feel the distinction. Otherwise use a compact teaching note with copyable prompt upgrades.
Do not over-teach. Teach only enough to make the next prompt precise.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.