prompt-writer
Skill2 starsChanged 6 months agoMITView on GitHub
Use when creating, reviewing, or revising prompts, system prompts, developer instructions, agent policies, prompt templates, eval prompts, or skill files consumed by LLMs and AI agents. Routes to OpenAI, Anthropic/Claude, or generic prompt-writing guidance based on the target model/provider.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- Ken-Technology/cold-email-skillstheir own version, first seen Oct 27, 2026
- zoeysandel/skillstheir own version, first seen Oct 20, 2026
- Mushfiqur-Rahman-Robin/coding-rulestheir own version, first seen Oct 13, 2026
- shunbao-p/Skillstheir own version, first seen Jul 8, 2026
- rgb-24bit/agent-skillstheir own version, first seen Mar 23, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- Ken-Technology/cold-email-skills★ 4same name
- shunbao-p/Skills★ 1same name
- zoeysandel/skills★ 1same name
- Mushfiqur-Rahman-Robin/coding-rules★ 0same name
- rgb-24bit/agent-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 repository10 other files it gives its agents.
- gitSkill
- handoff-sessionSkill
- html-artifactsSkill
- swe-executeSkill
- swe-planSkill
- swe-researchSkill
- swe-reviewSkill
- swe-shapeSkill
- swe-specSkill
- swe-worktreeSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
5
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
Use this skill as a router.
- Distinctive: line 16
Unknown, provider-neutral, mixed, or generic prompts: read references/generic.md.
- Distinctive: line 18
If more than one provider applies, read each relevant provider reference and resolve conflicts in favor of the user's stated target.
- Distinctive: line 23
Follow the selected reference's structure, rules, examples, output rules, and quality check.
- Distinctive: line 24
Keep the user's intended behavior unless it conflicts with the user's current request or the selected reference.
“Common” is measured: kept by at least 6 in 10 of the 5 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
Prompt Writer
Use this skill as a router. Do not rely on this file for detailed prompting rules; load the appropriate reference before writing, reviewing, or revising the prompt.
Provider Selection
Infer the target provider from the user request, model names, product names, surrounding prompt context, or prompt target:
- OpenAI: GPT, GPT-5.x, OpenAI, ChatGPT, Codex. Read references/openai.md.
- Anthropic/Claude: Claude, Anthropic, Opus, Sonnet, Haiku. Read references/anthropic.md.
- Unknown, provider-neutral, mixed, or generic prompts: read references/generic.md.
If more than one provider applies, read each relevant provider reference and resolve conflicts in favor of the user's stated target. If no target is stated, use the generic reference.
Required Workflow
- Select and read the proper reference file before producing the prompt artifact.
- Follow the selected reference's structure, rules, examples, output rules, and quality check.
- Keep the user's intended behavior unless it conflicts with the user's current request or the selected reference.
- Return the finished prompt first, with a short note only when it helps explain an important structure choice.
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.