build-persona-style
Skill2 starsChanged 20 days agoApache-2.0View on GitHub
Build a personalized AI persona from Slack message history. Exports messages, analyzes writing style, generates persona YAML/markdown. Use when user says "build persona from Slack" or "create persona from my style".
In this repository124 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 34
Verify memory/style/slack_corpus.jsonl exists and has messages
≈ “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.
Files
Build Persona from Slack Style
Exports Slack messages, analyzes style, generates persona for AI responses that sound like you.
Inputs
| Input | Type | Default | Purpose |
months | int | 6 | Months of message history |
persona_name | string | "dave" | Name for generated persona |
include_dms | bool | true | Include DMs |
include_channels | bool | true | Include channel messages |
include_threads | bool | true | Include thread replies |
skip_export | bool | false | Use existing corpus, skip export |
Workflow
1. Load Persona
persona_load("admin")— style tools
2. Export Messages (unless skip_export)
slack_export_my_messages(months, include_dms, include_channels, include_threads)- Corpus saved to
memory/style/slack_corpus.jsonl
3. Check Corpus
- Verify
memory/style/slack_corpus.jsonlexists and has messages - Fail if no corpus
4. Analyze Style
style_analyze(profile_name)— analyze writing patterns
5. Generate Persona
persona_generate_from_style(profile_name, persona_name, example_count=20)
6. Summary & Log
- Format summary: export stats, analysis, persona result, next steps
memory_session_log("Skill completed", ...)
Output
Summary. Next steps: persona_load("{name}"), persona_test_style("{name}"), persona_refine_style(...).
Does it work?
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Your trail
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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.