paperthin
Skill1.4k starsChanged todayMITView on GitHub
The one command to remember: type /paperthin, then your dream. It hands the request to re0-workflow, which runs the rest.
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Less talk lately.thin dataabout the whole repository
Who's talking about LilMGenius/paperthin
- LowyShin/giip-fde-agent“Paperthin 핵심 기능 도입 작업 지시서”GitHub · Jul 26, 2026 · 1 reactions
- dragoscirjan/ai“Refactor and Debloat skill”GitHub · Nov 6, 2026
- tranhoangnguyen03/pi-consultants“Pilot four Paperthin-inspired skills in Pi Consultants”GitHub · Oct 20, 2026
- sudosubin/agents.nix“agent-skills.github.lilmgenius.paperthin: init at 0.17.7”GitHub · Oct 3, 2026
- Yeachan-Heo/gajae-code“research(ultragoal): explore Paperthin principles for bounded, evidence-driven execution”GitHub · Aug 29, 2026
The biggest 5 of 10 mentions linking to the repository that our crawl found. Each line is their own headline.
See all 10
Talked about on GitHub (10 times).
On GitHub · 10
- Jul 26, 2026Paperthin 핵심 기능 도입 작업 지시서 — LowyShin/giip-fde-agent1 reaction
- Nov 6, 2026Refactor and Debloat skill — dragoscirjan/ai0 reactions
- Oct 20, 2026Pilot four Paperthin-inspired skills in Pi Consultants — tranhoangnguyen03/pi-consultants0 reactions · 1 comment
- Oct 3, 2026agent-skills.github.lilmgenius.paperthin: init at 0.17.7 — sudosubin/agents.nix0 reactions
- Aug 29, 2026research(ultragoal): explore Paperthin principles for bounded, evidence-driven execution — Yeachan-Heo/gajae-code0 reactions · 1 comment
5 more on GitHub
- Aug 26, 2026📝 https://github.com/LilMGenius/paperthin tool-study — adszzz11/study0 reactions
- Aug 26, 2026Track Codexy 1.6.0 lightweight skills and mechanical enforcement reduction — eunsoogi/codexy0 reactions · 10 comments
- Aug 26, 2026Record clean-room observations from the pinned research source — eunsoogi/codexy0 reactions · 3 comments
- Aug 26, 2026feat: add Paperthin-inspired artifact reflexes — BokEumEom/infrastructure-engineering-harness0 reactions · 1 comment
- Jun 21, 2026[skills.sh] Redirect LilMGenius/skills listings to LilMGenius/paperthin — vercel-labs/skills0 reactions · 1 comment
In this repository46 other files it gives its agents.
- AGENTS.mdAGENTS.md
- llms.txtllms.txt
- re0-importSkill
- re0-readmeSkill
- re0-upgradeSkill
- ssotize-localSkill
- ssotizeSkill
- backpropSkill
- catchupSkill
- nbaSkill
- re0-loopSkill
- re0-memoSkill
- re0-planSkill
- re0-tutorialSkill
- re0-watchSkill
- re0-workflowSkill
- re0-workSkill
- aimSkill
- autobahnSkill
- crossthinkSkill
- debloatSkill
- dedashSkill
- dedotSkill
- deidSkill
- demockSkill
- detoolSkill
- elonSkill
- factchkSkill
- hateSkill
- macrothinkSkill
- mandelaSkill
- modelchkSkill
- re0-decideSkill
- re0-gitSkill
- re0-mergeSkill
- re0-orderSkill
- re0-releaseSkill
- re0Skill
- re0-squashSkill
- re0-styleSkill
- readbackSkill
- scopechkSkill
- showerSkill
- sipSkill
- whychkSkill
- multithinkSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
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 20
Never shorten, rephrase, translate or complete the request.
- Distinctive: line 22
When the forward call fails, report that failure as it came back and run nothing else.
≈ “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
Hand the person's request to re0-workflow, unchanged, and add nothing of its own.
Goal
Someone who has never read this suite's catalog types /paperthin with what they want, and that is enough. This skill is only a name for that door: every behavior (reading the intent, choosing and ordering the skills, showing the order, running it and stopping where a person must act) belongs to re0-workflow. It is user-invoked because it exists for a person to type; the model reaches re0-workflow directly, so a second model-facing entry with the same triggers would only split them.
Workflow
- Call the Skill tool with "re0-workflow", passing the person's request word for word as the stated intent, and pass along whatever they attached (files, pasted text) the way the host passes attachments to a skill. If they typed
/paperthinwith nothing after it, say so in the call ("no request given"); asking for the intent is the router's job.
Rules
- Forward only: plan, select, order or run nothing here, and call no other skill. Everything after the hand-off is
re0-workflow's. - Never shorten, rephrase, translate or complete the request; the router reads the person's own words.
- Whether
re0-workflowis installed is read from the installed roster before the call, never tried as a second call; when it is missing, stop and say so, naming it as the skill to install. Never stand in for it with a plan of your own. - When the forward call fails, report that failure as it came back and run nothing else.
re0-workflownever routes back here, so the hand-off cannot loop.
Verification
Before finishing:
- Exactly one Skill tool call ran, to
re0-workflow, carrying the request as typed; or, whenre0-workflowwas not installed, none ran and the person was told to install it. - Nothing else ran from this skill; the report the person sees is the router's.
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.

