writing-for-agents
Skill1 starsChanged 2 months agoMITView on GitHub
Write or revise skills and agent instruction files with precise scope, useful references, and clear completion criteria.
191 other projects use a version of this.
Adopted by
Most recently taken up by
- xiaoxiaosrm/dsh-mattpocock-skillstheir own version, first seen Nov 8, 2026
- Suge8/friedbuntheir own version, first seen Nov 8, 2026
- microsoft/frontier-agentic-modernization-rvastheir own version, first seen Nov 8, 2026
- The-Vibe-Company/quivrtheir own version, first seen Nov 8, 2026
- 5thlayer/skillworkstheir own version, first seen Nov 8, 2026
- gaoyu06/harnesstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use wait-what, to-questionnaire and 10 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.
AWSSkillwait-what
Stop. That last message did not land: re-pitch it.
Also in 115 projects that use this
AWSSkillto-questionnaire
Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
Also in 83 projects that use this
J03Fr0stSkillwriting-for-humans
Write and revise human-facing prose so it is clear, specific, natural, and faithful to the author's intent and genre. Use for emails, chat messages, articles, reports, documentation, announcements, talks, and other prose when the user asks to draft, diagnose, edit, rewrite, make writing less formulaic or less AI-like, sound more natural or direct, or match a supplied voice. Do not use for agent instructions such as skills or AGENTS.md, code-only work, verbatim transcription, or translation without editorial changes.
Also in 5 projects that use this
liufeng1976Skillsetup-ts-deep-modules
Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files. User-invoked.
Also in 34 projects that use this
openchamberSkillclack-cli-patterns
Use when creating or modifying OpenChamber CLI commands, prompts, terminal output, non-TTY behavior, `--quiet`, or `--json` behavior.
Also in 3 projects that use this
MicrosoftSkillcloud-architecture-diagram
Create, edit, or troubleshoot Azure-first architecture diagrams as editable draw.io files, with AWS and multicloud topology support and identity, API, and CI/CD flow diagrams. Use for architecture visualization, network boundaries, interaction flows, or missing diagram icons. Not for deploying infrastructure, live cloud discovery, security certification, or unrelated charts.
Also in 3 projects that use this
- +1 more from aws
Other versions191 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 191
- mattpocock/skills★ 309ksame name
- QuivrHQ/quivr★ 40ksame name
- The-Vibe-Company/quivr★ 40ksame name
- formbricks/formbricks★ 13ksame name
- btriapitsyn/openchamber★ 13ksame name
- openchamber/openchamber★ 13ksame name
- ArcReel/ArcReel★ 6.3ksame name
- vinvcn/mattpocock-skills-zh-CN★ 5.5ksame name
- withcoral/coral★ 4.9ksame name
- bestofjs/bestofjs★ 3.1ksame name
181 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 repository16 other files it gives its agents.
- adversarial-refinement-loopSkill
- atomic-commitsSkill
- audio-verificationSkill
- build-without-fearSkill
- comfyui-assetsSkill
- diagnosing-bugsSkill
- finish-the-listSkill
- frontend-designSkill
- headless-terminal-workflowSkill
- parallelize-independent-workSkill
- prefer-second-monitorSkill
- require-external-communication-approvalSkill
- state-of-the-art-firstSkill
- try-it-firstSkill
- visual-verificationSkill
- web-design-guidelinesSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 177 edited versions we read keep these.
1
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 19
Keep discovery descriptions short and specific.
“Common” is measured: kept by at least 6 in 10 of the 177 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
Write useful agent instructions
Include guidance that changes a decision: project constraints, fragile steps, domain knowledge, useful references, and observable completion criteria. Respect the user's task, existing authorization, and the host's instruction priority. Prefer clear desired behavior over generic encouragement or fixed rituals. Match procedural detail to the actual risk.
For skill structure and invocation policy, read skill mechanics. For a substantial instruction redesign, read instruction design. A wording correction does not require both references.
Keep discovery descriptions short and specific. Separate workflows only when their triggers or resources differ. Keep each rule in one authoritative place; load supporting detail only for the branch that needs it.
Define what completes the requested outcome, what requires input, and what side effects are authorized. Verification should establish the relevant claim without expanding a small change into a full audit. Preserve explicit user preferences while removing duplicated or stale scaffolding.
Validate naming, frontmatter, links, and any changed helper behavior. For complex changes, test realistic decisions independently when available and authorized. Structural validation alone does not establish behavioral quality.
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.

