talk-like-me
Skill2 starsChanged 5 months agoLicence not identifiedView on GitHub
Learn the user's own writing voice from how they actually talk to you, and write their user-facing copy in that voice instead of a generic one. Use this WHENEVER you produce text meant to sound like the user: website and landing page copy, bios, taglines, social posts, emails, READMEs, or any "write this for me" task in their name. Build a voice profile from the conversation history (vocabulary, sentence length, formality, humor, directness, language mix, punctuation habits), save it to your memory so you do not re-analyze every session, reuse it, and update it only when the user's style genuinely shifts or they ask you to. This shapes the user's content, not how you narrate your own work.
In this repository17 other files it gives its agents.
- clean-retypeSkill
- dont-ask-to-askSkill
- dont-be-afraid-to-askSkill
- dry-run-firstSkill
- honest-readmeSkill
- human-commit-messagesSkill
- license-expertSkill
- no-ai-design-clichesSkill
- no-ai-signoffsSkill
- no-em-dashesSkill
- no-fancy-asciiSkill
- no-filler-phrasesSkill
- no-redundant-commentsSkill
- prefer-iconsSkill
- throwaway-scriptsSkill
- use-the-design-systemSkill
- use-your-skillsSkill
The file
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 9 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈9
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “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.
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.