human-voice
Skill2 starsChanged 56 days agoMITView on GitHub
Edits any outbound text — notes, messages, comments, replies, posts — until it reads like a specific person wrote it to another person, keeping every fact. Use on every draft before the user sees it, and whenever something "sounds like a robot" or "sounds like ChatGPT".
12 other projects use a version of this.
Adopted by
Most recently taken up by
- Tcuzzo/backs-aios-skillstheir own version, first seen Nov 3, 2026
- AgentShekel/agentic-workflowtheir own version, first seen Nov 1, 2026
- ttilabs11-byte/human-voice-skilltheir own version, first seen Oct 25, 2026
- jameskrupnik/indie-app-skillstheir own version, first seen Oct 15, 2026
- mike22890/opencode-skills-entheir own version, first seen Oct 15, 2026
- 0King0P/Claude-Skillstheir own version, first seen Oct 13, 2026
Other versions12 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 12
- stephenoffer/human-voice★ 38same name
- ttilabs11-byte/human-voice-skill★ 7same name
- AgentShekel/agentic-workflow★ 4same name
- Envy-7z/katalyst★ 4same name
- ksprashu/agent-skill-forge★ 3same name
- Tcuzzo/backs-aios-skills★ 2same name
- DavoDC/claude-playbook★ 1same name
- Jawahars07/ballast★ 1same name
- mike22890/opencode-skills-cn★ 1same name
- mike22890/opencode-skills-en★ 1same name
2 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 repository20 other files it gives its agents.
- AGENTS.mdAGENTS.md
- buying-committeeSkill
- call-readySkill
- campaign-launchSkill
- command-centerSkill
- competitor-watchSkill
- fit-checkSkill
- intent-radarSkill
- market-mapSkill
- message-writerSkill
- morning-briefSkill
- nudgeSkill
- outbound-briefSkill
- post-studioSkill
- priority-rankSkill
- reach-checkSkill
- reply-deskSkill
- social-warmupSkill
- what-worksSkill
- why-nowSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
2
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 12
Delete everything the reader would skip: throat-clearing openers, restated context they already know, sign-offs that repeat the ask, and …
- Distinctive: line 34
Put the drafts side by side.
“Common” is measured: kept by at least 6 in 10 of the 10 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
Human voice
Three passes over every draft. Facts never change; only the wording does.
1. Cut
Delete everything the reader would skip: throat-clearing openers, restated context they already know, sign-offs that repeat the ask, and any sentence that would still be true if you swapped in another company's name.
2. Swap
Replace every word you wouldn't say out loud to a customer across a table with the one you would.
| Instead of | Say |
| reach out | write / get in touch |
| empower, enable | let, help |
| streamline, optimize | cut, speed up, simplify |
| seamless, robust, holistic | say what it actually does |
| solution, platform | the thing's name, or what it does |
| touch base | talk |
| revolutionize, transform | change, fix |
3. Point
The message makes one point and asks one thing. If a second idea sneaks in, it becomes the next message. On LinkedIn, keep it to what fits on a phone screen without scrolling, in plain sentences: no bullet points, bold, or exclamation marks in a DM.
When reviewing a batch
Put the drafts side by side. Rewrite any whose shape you could predict from the others, until each one could only have been written to its own recipient.
Output
Each draft rewritten, followed by one line on what changed, e.g. cut: opener, repeated ask · swap: "streamline" → "speed up".
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.