tldr
Skill50 starsChanged 6 days agoMITView on GitHub
Use when the user types /tldr to get a plain-simple-English summary, written in ASD-STE100, of the most recent response, aiming for under 30 words and never over 55.
40 other projects use a version of this.
Adopted by
Most recently taken up by
- annatomka/skillstheir own version, first seen Nov 8, 2026
- zazencodes/skillstheir own version, first seen Nov 8, 2026
- MarkPhamm/claude-skillstheir own version, first seen Nov 8, 2026
- nirberko/skillstheir own version, first seen Nov 8, 2026
- LaansDole/my-hermes-skillstheir own version, first seen Nov 7, 2026
- beCyborg/jadlis-tldrtheir own version, first seen Nov 6, 2026
Used with
Projects with it also use explain, handoff and 2 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
sunnyclinches44Skillexplain
Explains code using real-world analogies and ASCII diagrams
Also in 3 projects that use this
MicrosoftSkillhandoff
Compact the current conversation into a handoff document for another agent to pick up.
Also in 6 projects that use this
Google CloudSkilltriage
Gather context on a change or bug and plan the implementation.
Also in 3 projects that use this
GoogleSkillgrill-me
A relentless interview to sharpen a plan or design.
Also in 3 projects that use this
Other versions40 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 40
- earlyaidopters/second-brain★ 193same name
- saksham10arora-dotcom/everything-claude-codex★ 74same name
- gsarig/skills★ 30same name
- peterpme/skills★ 28same name
- Vesely/skills★ 28same name
- nirberko/skills★ 19same name
- r13i/skills★ 17same name
- SurefireStudios/tldr★ 9same name
- jamesblackwell/falcondeck★ 7same name
- RichieHakim/agent_skills★ 5same name
30 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.
In this repository39 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- app-prdSkill
- cli-dispatchSkill
- codex-validate-plan-work-on-issueSkill
- create-releaseSkill
- execution-plan-reviewSkill
- expo-app-initializeSkill
- fable-advisorSkill
- fable-dispatchSkill
- fable-new-issue-loopSkill
- fable-new-issueSkill
- fable-orchestrateSkill
- fableplan-loopSkill
- fableplanSkill
- fableplan-work-on-issueSkill
- fable-validate-fableplan-loopSkill
- fable-validate-fableplanSkill
- fable-validate-loopSkill
- fable-validateSkill
- fix-pr-review-loopSkill
- fix-pr-reviewSkill
- github-issue-formatSkill
- issueplanSkill
- milestoneplanSkill
- milestone-workflowSkill
- new-app-pipelineSkill
- new-issue-loopSkill
- new-issueSkill
- prd-questionsSkill
- prd-to-issuesSkill
- pr-reviewSkill
- sync-docs-releaseSkill
- sync-docsSkill
- validate-fableplan-loopSkill
- validate-issue-loopSkill
- validate-issueSkill
- wansSkill
- work-on-issue-loopSkill
- work-on-issueSkill
The file
Files
TLDR
Produce a dead-simple recap of your most recent substantive response.
Rules
- Write it as a Plain simple English block in ASD-STE100 (Simplified Technical English) per the Response Style rules in CLAUDE.md/AGENTS.md. Aim for under 30 words. If 30 words would cut critical information (a caveat, a decision, or a required action), use more, up to a hard maximum of 55 words. No headers.
- Summarize the prior answer, not the original question. If there is no prior substantive response in the conversation, say so in one line and ask what to summarize.
- Keep critical caveats. Simplify the answer without dropping a caveat that changes what the reader should do.
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.

