awesome-persona-distill-skills
SkillAI & modelsA curated Awesome List of Agent Skills focused on persona distillation — the practice of extracting expression styles, decision heuristics, and interaction patterns from conversations, digital traces, works, or public materials.
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Then ask your AI: use the awesome-persona-distill-skills skill
About this capability
Trending Claude Code skills
What this skill tells your AI
The instructions your AI receives, as published by reason-machines/trending-skills in skills/awesome-persona-distill-skills/SKILL.md and read by ahel’s review.
---
name: awesome-persona-distill-skills
description: Curated list of Agent Skills for persona distillation — extracting communication styles, decision frameworks, and interaction patterns from conversations, works, and digital traces of real or fictional personas.
triggers:
- "find a persona distill skill"
- "how do I distill a persona into an agent skill"
- "looking for a colleague or ex skill"
- "create a persona skill for an AI agent"
- "browse awesome persona skills list"
- "add my skill to awesome persona distill"
- "what persona agent skills are available"
- "contribute a skill to the persona distill list"
---
# Awesome Persona Distill Skills
> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection.
A curated [Awesome List](https://awesome.re) of [Agent Skills](https://agentskills.io) focused on **persona distillation** — the practice of extracting expression styles, decision heuristics, and interaction patterns from conversations, digital traces, works, or public materials. Skills are organized into self-distillation, workplace relationships, intimate/family memory, public figures, and specialized themes.
---
## What This Project Does
`awesome-persona-distill-skills` is a community-maintained index of `.skill` files published on GitHub and compatible with the [Agent Skills](https://agentskills.io) ecosystem. Each listed skill can be installed into AI coding/chat agents (Claude Code, Cursor, Codex, etc.) to give them a specific persona or methodological perspective.
Persona distillation here means:
- Extracting **communication style** from chat logs, posts, or transcripts
- Encoding **decision frameworks** from books, interviews, or public writing
- Building **interactive role personas** for practice, reflection, or tooling
It does **not** claim to fully replicate real individuals.
---
## Installing a Skill from This List
### Via Agent Skills CLI (if using agentskills.io toolchain)
```bash
# Install a skill by its GitHub repo
agentskills install https://github.com/alchaincyf/steve-jobs-skill
# Install and activate in current project
agentskills install https://github.com/titanwings/colleague-skill --activate
Manually (copy SKILL.md into your project)
# Clone the target skill repo
git clone https://github.com/alchaincyf/munger-skill /tmp/munger-skill
# Copy the skill file into your project's skills directory
cp /tmp/munger-skill/SKILL.md ./.skills/munger.skill.md
Via curl (quick install)
mkdir -p .skills
curl -sSL https://raw.githubusercontent.com/alchaincyf/naval-skill/main/SKILL.md \
-o .skills/naval.skill.md
Skill Categories & Key Examples
Self-Distillation & Meta Tools
| Skill | Repo | Description |
|---|---|---|
| 自己.skill | notdog1998/yourself-skill | Self-distillation assistant from personal conversations |
| 女娲.skill | alchaincyf/nuwa-skill | Extract reusable skills from mental models & decision heuristics |
| 永生.skill | agenmod/immortal-skill | Multi-dimensional digital persona from chat logs |
| Forge Skill | YIKUAIBANZI/forge-skill | Separate self-distill and other-distill pipelines |
Workplace & Academic
| Skill | Repo | Description |
|---|---|---|
| 同事.skill | titanwings/colleague-skill | Former colleague work context & communication style |
| 老板.skill | vogtsw/boss-skills | Manager judgment criteria & review style |
| 导师.skill | ybq22/supervisor | Supervisor guidance style for students |
Public Figures & Methodology
| Skill | Repo | Description |
|---|---|---|
| 乔布斯.skill | alchaincyf/steve-jobs-skill | Jobs' product judgment & narrative style |
| 芒格.skill | alchaincyf/munger-skill | Munger's mental models & decision heuristics |
| 费曼.skill | alchaincyf/feynman-skill | Feynman's explanation style & truth-seeking |
| 纳瓦尔.skill | alchaincyf/naval-skill | Naval's wealth, leverage & judgment frameworks |
Authoring a New Persona Skill (SKILL.md Structure)
A valid persona distill skill follows this structure:
---
name: your-persona-skill
description: One-line summary of who/what is distilled and for what use.
triggers:
- "ask in the style of X"
- "apply X's framework to this problem"
- "what would X think about this"
- "distill X's decision approach"
- "channel X's communication style"
- "use X methodology"
---
# Your Persona Skill
> Skill by [your-handle](https://your-site)
## Persona Overview
Brief description of the person/role and what aspect is being distilled.
## Core Frameworks
The key mental models, heuristics, or communication patterns extracted.
## Example Interactions
Concrete Q&A examples showing the persona in action.
## Source Materials
Links to the public works, transcripts, or data used for distillation.
JavaScript Tooling Example
This project uses JavaScript for automation (PR generation, issue triage). Here's how the contribution workflow script pattern looks:
// .github/scripts/generate-pr.mjs
// Triggered when an issue receives the 'approved' label
import { Octokit } from "@octokit/rest";
const octokit = new Octokit({ auth: process.env.GITHUB_TOKEN });
async function generateSkillPR({ issueNumber, skillName, skillRepo, category, description }) {
const owner = "xixu-me";
const repo = "awesome-persona-distill-skills";
// 1. Create a new branch for the PR
const baseSha = await octokit.repos.getBranch({ owner, repo, branch: "main" });
const branchName = `add-skill/${skillName}-${issueNumber}`;
await octokit.git.createRef({
owner,
repo,
ref: `refs/heads/${branchName}`,
sha: baseSha.data.commit.sha,
});
// 2. Read current README
const readmeFile = await octokit.repos.getContent({
owner,
repo,
path: "README.md",
});
const currentContent = Buffer.from(readmeFile.data.content, "base64").toString("utf8");
// 3. Insert new skill entry into correct category section
const newEntry = `- [${skillName}](${skillRepo}) - ${description}`;
const updatedContent = insertIntoCategory(currentContent, category, newEntry);
// 4. Commit the updated README
await octokit.repos.createOrUpdateFileContents({
owner,
repo,
path: "README.md",
message: `feat: add ${skillName} to ${category}`,
content: Buffer.from(updatedContent).toString("base64"),
sha: readmeFile.data.sha,
branch: branchName,
});
// 5. Open a Pull Request
const pr = await octokit.pulls.create({
owner,
repo,
title: `Add ${skillName}`,
body: `Closes #${issueNumber}\n\nAdds **${skillName}** to the **${category}** section.\n\n> Auto-generated by approved-issue workflow.`,
head: branchName,
base: "main",
});
return pr.data.html_url;
}
function insertIntoCategory(readme, category, entry) {
const sectionRegex = new RegExp(`(## ${category}[\\s\\S]*?)(\n## |$)`);
return readme.replace(sectionRegex, (match, section, next) => {
return `${section.trimEnd()}\n${entry}\n${next}`;
});
}
Contributing a New Skill
Step 1 — Submit an Issue
Fill out the issue form at the repository. Required fields:
Skill Name: 你的技能名.skill
GitHub Repo URL: https://github.com/your-handle/your-skill
Category: 自我蒸馏与元工具 | 职场与学术关系 | 亲密关系与家庭记忆 | 公众人物与方法论视角 | 精神性与专门化主题
Description (one line): What persona/framework is distilled and for what purpose.
Step 2 — Wait for approved Label
A maintainer will review and apply the approved label. The GitHub Actions workflow then auto-generates a PR.
Step 3 — Direct PRs (for fixes only)
For fixing broken links, typos, or formatting, submit a PR directly:
git clone https://github.com/xixu-me/awesome-persona-distill-skills
cd awesome-persona-distill-skills
git checkout -b fix/broken-link-colleague-skill
# Edit README.md
git commit -m "fix: update broken link for colleague-skill"
git push origin fix/broken-link-colleague-skill
# Open PR on GitHub
Skill Quality Checklist
Before submitting a skill for inclusion, verify:
[ ] Public GitHub repository (not private)
[ ] Contains a valid SKILL.md file at repo root
[ ] Skill name follows pattern: 名称.skill or descriptive-name-skill
[ ] One-line description is clear and specific
[ ] Source materials or methodology are documented
[ ] Does not claim complete replication of a real individual
[ ] No hardcoded secrets, API keys, or private data
[ ] Compatible with agentskills.io format (YAML frontmatter + Markdown body)
Common Patterns
Loading a Public Figure Skill for Decision Analysis
// Node.js: load and inject a persona skill into an LLM prompt
import { readFileSync } from "fs";
import Anthropic from "@anthropic-ai/sdk";
const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });
const skillContent = readFileSync(".skills/munger.skill.md", "utf8");
const response = await client.messages.create({
model: "claude-opus-4-5",
max_tokens: 1024,
system: skillContent,
messages: [
{
role: "user",
content: "Evaluate this business decision: expanding into a new market with high capital requirements but unclear demand.",
},
],
});
console.log(response.content[0].text);
Self-Distillation: Building Your Own Skill from Chat Logs
// Parse exported chat JSON and extract patterns for skill generation
import { readFileSync, writeFileSync } from "fs";
function extractPersonaPatterns(chatLogPath) {
const raw = JSON.parse(readFileSync(chatLogPath, "utf8"));
const myMessages = raw.messages
.filter((m) => m.sender === "me")
.map((m) => m.text);
// Simple heuristic extraction — replace with LLM call in practice
const patterns = {
avgMessageLength: Math.round(
myMessages.reduce((s, m) => s + m.length, 0) / myMessages.length
),
topPhrases: extractTopPhrases(myMessages, 10),
questionFrequency: myMessages.filter((m) => m.includes("?")).length / myMessages.length,
};
return patterns;
}
function extractTopPhrases(messages, n) {
const freq = {};
messages.forEach((msg) => {
msg.split(/\s+/).forEach((word) => {
if (word.length > 3) freq[word] = (freq[word] || 0) + 1;
});
});
return Object.entries(freq)
.sort((a, b) => b[1] - a[1])
.slice(0, n)
.map(([word]) => word);
}
const patterns = extractPersonaPatterns("./my-chat-export.json");
console.log("Distilled patterns:", patterns);
Troubleshooting
Skill not recognized by agent
- Ensure the file has valid YAML frontmatter with
name,description, andtriggersfields - Check that the file is named
SKILL.md(case-sensitive) at the repo root - Verify the skill is installed in the directory your agent scans (e.g.,
.skills/,.cursor/skills/)
PR not auto-generated after approved label
- Check the repository's GitHub Actions tab for workflow errors
- The workflow requires
GITHUB_TOKENto have write permissions to the repo - Issue must have been submitted via the official issue form template
Broken link in the list
- Submit a direct PR to fix the URL — no issue required for link fixes
- Check if the skill repo was renamed or made private by the author
Skill content violates privacy
- Skills must only use publicly available materials or data the creator owns
- Private chat logs should never be committed to public skill repos — use local-only distillation tools like Forge Skill
Related Resources
- Agent Skills Platform — official skill registry and format spec
- Awesome List Guidelines — quality standards this list follows
- CONTRIBUTING.md — detailed contribution conventions
Signals
- GitHub stars
- 78
- Forks
- 13
- Last commit
- Jul 2026
ahel recommends instead
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awesome-persona-distill-skills-reason-machines- Source
- github.com/reason-machines/trending-skills