show-dont-tell
Skill1 starsChanged 17 days agoMITView on GitHub
Reduce the explanations and reminders agents need from code and documentation. Use for clarity passes or during PR preparation.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- grandiamo/claude-skillstheir own version, first seen Oct 25, 2026
- faridjaff/show-dont-telltheir own version, first seen Aug 21, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- faridjaff/show-dont-tell★ 4same name
- grandiamo/claude-skills★ 0same name
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.
In this repository57 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agent-loginSkill
- animateSkill
- app-intentsSkill
- app-store-connectSkill
- architectSkill
- arenaSkill
- blast-radiusSkill
- codebase-designSkill
- code-qualitySkill
- correctSkill
- diagnosing-bugsSkill
- domain-modelingSkill
- eli5Skill
- engineering-principlesSkill
- gauntlet-loopSkill
- gh-stackSkill
- goal-swarmSkill
- grillingSkill
- grill-with-docsSkill
- handoffSkill
- howSkill
- improve-codebase-architectureSkill
- ios-hapticsSkill
- koubouSkill
- mergeSkill
- orchestrationSkill
- prototypeSkill
- prSkill
- react-best-practicesSkill
- react-doctorSkill
- reframeSkill
- repo-cleanupSkill
- researchSkill
- retroSkill
- review-fix-loopSkill
- reviewSkill
- review-sweepSkill
- seoSkill
- setup-sreestackSkill
- showroomSkill
- snipsnap-do-choresSkill
- snip-snapSkill
- swift-testing-modernizationSkill
- swiftuiSkill
- tddSkill
- to-specSkill
- to-ticketsSkill
- triageSkill
- ui-designSkill
- uikitSkill
- verifySkill
- wayfinderSkill
- web-component-inspirationSkill
- whySkill
- writing-for-agentsSkill
- xcode-security-auditSkill
The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 8 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
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 12
When inspecting explanations in code or docs, including comments and suppressions, read the explanation audit.
- Distinctive: line 26
Remove prose after its knowledge is carried elsewhere or verified obsolete.
- Distinctive: line 27
When enforcement replaces a reminder, verify that it rejects a violation.
- Distinctive: line 32
Use an ADR when a decision meets all three criteria: hard to reverse, surprising without context, and the result of a real trade-off.
- Distinctive: line 39
Keep prose that supplies necessary intent, constraints, rationale, or operating context an agent cannot cheaply and reliably obtain …
- Distinctive: line 44
Prefer scripts, command help, schemas, tests, and precise domain types over prose restating that information.
- Distinctive: line 48
Keep remaining prose brief, accurate, and close to its use.
- Distinctive: line 52
Use the owning workflow's checks and review.
≈ “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
Show, Don't Tell
Make the thing carry its intent so agents need fewer explanations and reminders. Improve what needs explaining before adding another explanation. Apply this to the caller's scope while preserving intended behavior and contracts.
When inspecting explanations in code or docs, including comments and suppressions, read the explanation audit.
Make code self-documenting
Express purpose through domain names, types, interfaces, and ownership. Make correct usage obvious and enforce invariants where practical. A comment saying “call A before B” may point to an interface that should own that ordering. Choose changes that reduce what agents must infer or remember; extra layers and types must earn their place.
Apply the same principle to docs: keep one authoritative home for each rule. Preserve instruction meaning, permissions, and necessary ordering.
Remove prose after its knowledge is carried elsewhere or verified obsolete. When enforcement replaces a reminder, verify that it rejects a violation. Fix a suppressed correctness problem before removing its directive.
Record consequential decisions
Use an ADR when a decision meets all three criteria: hard to reverse, surprising without context, and the result of a real trade-off. Keep local rationale near its subject when an ADR would add no value.
Keep useful documentation
Keep prose that supplies necessary intent, constraints, rationale, or operating context an agent cannot cheaply and reliably obtain elsewhere. Examples include unencoded requirements or promises, external prerequisites, and recovery decisions that require judgment. A document's category alone does not justify it.
Prefer scripts, command help, schemas, tests, and precise domain types over prose restating that information. Use brief pointers to existing sources of truth or context that would otherwise be costly to discover.
Keep remaining prose brief, accurate, and close to its use. Preserve legal notices. Resolve conflicting claims against authoritative requirements; implementation alone cannot redefine a contract. Retain unresolved constraints until verified.
Use the owning workflow's checks and review. Report what explanation became unnecessary and what knowledge remains useful.
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.

