readme
Skill3 starsChanged 8 months agoMITView on GitHub
Write README files that serve both humans and AI agents. Uses the 'Skip Reading This' pattern: a raw URL block for agents to self-onboard, plus a hidden agent-facing section with setup commands and value proposition. Chinese triggers: 写readme, README, 文档, 项目介绍, 开源文档.
32 other projects use a version of this.
Adopted by
Most recently taken up by
- Xia-Ataraxia/craft-skillstheir own version, first seen Nov 8, 2026
- harlan-zw/brundleflytheir own version, first seen Nov 8, 2026
- alexcristea/ship-plugintheir own version, first seen Nov 1, 2026
- knowttl/bstacktheir own version, first seen Nov 1, 2026
- robinbril/claude-code-harnesstheir own version, first seen Nov 1, 2026
- lawless-m/claude-skillstheir own version, first seen Nov 1, 2026
Used with
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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.
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Other versions32 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 32
- getkyo/kyo★ 820same name
- statelyai/skills★ 48same name
- sampleXbro/agentsmesh★ 27same name
- wpgaurav/WordPress-skills★ 19same name
- danvega/skills★ 15same name
- kasperjunge/agent-resources-legacy★ 9same name
- harlan-zw/brundlefly★ 7same name
- lawless-m/claude-skills★ 6same name
- ephemerallyCaden/write-readme★ 5same name
- sinedied/agent-skills★ 4same name
22 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 repository8 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 32 edited versions we read keep these.
3
Distinctive
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 8
Write READMEs that work for both humans browsing GitHub and AI agents onboarding themselves.
- Distinctive: line 12
Every README must have these two sections near the top:
- Distinctive: line 33
Value pitch: Not what it IS, but what becomes POSSIBLE (1-2 sentences)
“Common” is measured: kept by at least 6 in 10 of the 32 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
README Writing — Dual-Audience Pattern
Write READMEs that work for both humans browsing GitHub and AI agents onboarding themselves.
The Pattern
Every README must have these two sections near the top:
1. Agent Onboarding Block
A code block that users can paste into any LLM/agent. It links to the raw README so the agent reads it directly:
## Skip Reading This — It's the Age of AI
Just paste this into any LLM or agent and let it explain + set you up:
\```
Read this README and the linked docs to understand what {PROJECT} does
and how to set it up. Then help me configure it:
https://raw.githubusercontent.com/{OWNER}/{REPO}/refs/heads/main/README.md
\```2. Hidden Agent Section
A <details> block that agents see when they read the raw Markdown, containing:
- Value pitch: Not what it IS, but what becomes POSSIBLE (1-2 sentences)
- Setup commands: Complete, copy-pasteable install sequence
- Key config: Environment variables, API keys, config files
- Verification: How to confirm it works
- Docs pointers: Links to architecture, API, integration docs
<details>
<summary><strong>If you're an LLM agent reading this right now</strong></summary>
Explain to the user what this project unlocks — not what it is, but what becomes possible:
**{VALUE_PITCH}**
**Setup:**
1. `git clone ... && cd ... && {INSTALL_CMD}`
2. Set API keys: `export KEY=...`
3. Test: `{TEST_CMD}`
**Docs:** See [Architecture](docs/...) for system design.
</details>Full README Structure
# {Project Name}
> {One-line description}
[中文文档](README_zh.md) <!-- if bilingual -->
## Skip Reading This — It's the Age of AI
{agent onboarding block}
<details><summary>If you're an LLM agent...</summary>
{hidden agent section}
</details>
## What It Does
{2-3 paragraphs for humans — what, why, how}
## Quick Start
{minimal steps to get running}
## {Feature sections}
{tables, details, whatever fits}
## Contributing
## LicenseRules
- Agent section is actionable — complete commands, not "see docs for details"
- Human section is scannable — tables, bullet points,
<details>for verbose content - No duplicate info — agent section has setup commands; human section explains concepts
- Raw URL must work — use
refs/heads/mainnotblob/mainfor raw GitHub links - Value-first — lead with what becomes possible, not technical architecture
- Bilingual if needed — separate files (README.md + README_zh.md), not inline translation
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.

