littlebird-voice-creator
Skill8 starsChanged 3 months agoAGPL-3.0View on GitHub
Guide a user through building their personal writing-voice skill by mining their Littlebird data via the Littlebird MCP server. Covers installing Littlebird, connecting the MCP to Claude, mining the user's own verbatim writing and background context from captured screen history, chats, and meeting transcripts, confirming every retrieved fact with the user, and packaging a calibrated voice skill that writes exactly like them. Use this skill whenever a Littlebird user says "build my voice skill from Littlebird", "mine my Littlebird data", "make Claude write like me using Littlebird", or "what does Littlebird know about my writing style". Requires the Littlebird MCP (Pro plan). Not for company brand voice - this is one person's authentic personal voice.
In this repository31 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- brand-voice-guardianSkill
- client-health-radarSkill
- combined-voice-creatorSkill
- comment-to-crm-piperSkill
- commitment-trackerSkill
- competitor-watchSkill
- content-repurposerSkill
- daily-briefSkill
- day-reconstructorSkill
- deal-pipeline-reconstructorSkill
- facebook-voice-creatorSkill
- focus-forensicsSkill
- invoice-chaserSkill
- knowledge-base-builderSkill
- lead-harvesterSkill
- learning-capturerSkill
- meeting-scribeSkill
- money-leak-auditorSkill
- osint-investigatorSkill
- pre-call-prepSkill
- renewal-sentinelSkill
- research-synthesizerSkill
- routine-architectSkill
- said-it-alreadySkill
- skill-suggesterSkill
- sop-forgeSkill
- testimonial-minerSkill
- weekly-reviewSkill
- who-am-i-ghostingSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
Licensed with conditions — 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?
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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
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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.