explain
Skill138 starsChanged 7 months agoMITView on GitHub
Explains concepts, product decisions, formulas, and systems at the user's requested depth and language. Use for /explain, how or why questions, first principles, or ELI5.
We split this skill into the rules it gives an agent
7 rules. 0 are common, 3 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 93 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 15
Use the current topic when the user asks a follow-up.
- Distinctive: line 27
Use notation when it clarifies a formula.
- Distinctive: line 34
If a definition is missing, state the assumption.
- Very specific: line 38
Keep the answer in chat by default, regardless of length.
- Very specific: line 39
When saving, follow /doc paths, frontmatter, links, and logging.
- Very specific: line 40
Use /show-me when a small visual makes the mechanism clearer.
- Distinctive: line 41
Ask comprehension questions only when the user requests tutoring.
“Common” is measured: kept by at least 6 in 10 of the 93 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/explain — Working Understanding
Answer first, then give the smallest mental model that helps the user apply it.
Adapted from the personal explain-to-me skill; keep /explain as the existing entry point.
Input
/explain [concept, formula, decision, system, or pasted material]
Use the current topic when the user asks a follow-up. Read referenced material before explaining it.
Apply _core/knowledge.md to source claims and _core/judgment.md when explaining a product tradeoff.
Depth and Language
- Simple question: answer directly; do not force a tutorial or fixed sections.
- Working understanding: explain the mechanism, necessary terms, and one useful example.
- First principles: work backward from the result to inputs, rules, constraints, and what breaks without each part.
- Technical depth: inspect the source; trace responsibilities, state, boundaries, and failure modes.
- ELI5: use everyday language without hiding a material exception or constraint.
Reply in the user's language. Preserve identifiers and useful technical terms; define unfamiliar terms when needed. Use notation when it clarifies a formula. An analogy should reduce effort; explain its limits if they matter.
Evidence and Decisions
Distinguish implemented behavior, observed results, assumptions, and interpretation. Cite inspected sources for claims about a specific product, document, or codebase. For a decision, explain the criteria, alternatives, uncertainty, and what would change the recommendation. If a definition is missing, state the assumption. Ask only when it prevents a useful or safe answer.
Output
Keep the answer in chat by default, regardless of length. Save a note only when the user asks.
When saving, follow /doc paths, frontmatter, links, and logging; keep the explanation's natural structure.
Use /show-me when a small visual makes the mechanism clearer.
Ask comprehension questions only when the user requests tutoring. Stop when the question is answered.
Other versions108 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 108
- Z3Prover/z3★ 13ksame name
- crbnos/carbon★ 2.8ksame name
- poshan0126/dotclaude★ 871same name
- hsantanna88/clo-author★ 262same name
- hugosantanna/clo-author★ 262same name
- VinkyDev/vibestart★ 247same name
- entireio/skills★ 223same name
- first-fluke/fullstack-starter★ 223same name
- sammcj/agentic-coding★ 164same name
- SerhiiKorniienko/bullshit-detector★ 151same name
98 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use debug-fix, root-cause and 8 more.
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