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Persona Seed

Organization
acnlabs
persona-seed

Create an OpenPersona pack from population / corpus seed providers (first: MatrAIx Persona 1M). Searches a pluggable seed index from user intent, maps a SeedProfile to persona.json, then generates via open-persona. Use when the user wants a persona from a large persona corpus, MatrAIx, or archetype sampling — not when distilling a specific real person (use anyone-skill).

Overview

Publisheracnlabs
RepositoryOpenPersona
Skill namepersona-seed
Stars
56
Forks
5
Bundled files
18
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 18 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by acnlabs on GitHub. Read the source before you install it.

Installation

Install the Persona Seed AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/acnlabs/OpenPersona/tree/main/skills/persona-seed
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/acnlabs/OpenPersona.git /tmp/OpenPersona
mkdir -p .claude/skills
cp -r /tmp/OpenPersona/skills/persona-seed .claude/skills/persona-seed
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Persona Seed in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Persona Seed on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Persona Seed is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

persona-seed — Population seeds → OpenPersona packs

One orchestration skill. Many corpus providers. MatrAIx Persona 1M is the first adapter — not a special-case product path.

Dependency chain: persona-seed → skills/open-persona → openpersona create
Sibling: anyone-skill (evidence distillation of a specific subject). Prefer anyone-skill for real people / named characters; prefer persona-seed for population sampling and archetypes from a corpus.

Trigger phrases

  • /persona-seed
  • "create a persona from MatrAIx"
  • "sample a persona from Persona 1M"
  • "pick a seed profile and generate a pack"
  • "从人口语料里生成人格包"

Architecture

user intent
    → provider.search (attribute filter)
    → agent re-rank + user pick
    → provider.fetch + toSeed → SeedProfile
    → fill gaps (name, role, boundaries…)
    → map-seed-to-persona.js → persona.json
    → openpersona create --config …
    → write-provenance.js → soul/seed-provenance.json

Contract: references/provider-contract.md
Schemas: schemas/intent.schema.json, schemas/seed-profile.schema.json
Registry: providers/registry.json (hfRepo / provider id → module; /datasets publish ≠ seed-capable)
Providers: providers/<id>/ modules, registered explicitly

Tools (scripts)

Set SEED_DIR to this skill directory (path containing SKILL.md).

TaskCommand
List registrynode ${SEED_DIR}/scripts/search.js --list-providers
Seed-capable HF reposnode ${SEED_DIR}/scripts/search.js --seed-capable
List provider capsnode ${SEED_DIR}/scripts/search.js --capabilities
Caps by HF reponode ${SEED_DIR}/scripts/search.js --repo MatrAIx2026/MatrAIx_Persona_1M --capabilities
Search seedsnode ${SEED_DIR}/scripts/search.js --intent '<json>'
Fetch rawnode ${SEED_DIR}/scripts/search.js --fetch --id <id>
To SeedProfilenode ${SEED_DIR}/scripts/search.js --to-seed --id <id>
Map to persona.jsonnode ${SEED_DIR}/scripts/map-seed-to-persona.js --seed <seed.json> --overrides '<json>' --out persona.json
Write provenancenode ${SEED_DIR}/scripts/write-provenance.js --pack <packDir> --seed <seed.json>
Full pipelinenode ${SEED_DIR}/scripts/run-pipeline.js --intent '<json>' --name "…" --slug … --role assistant --out <dir>
Validate corpusnode ${SEED_DIR}/scripts/prepare-corpus.js --validate <corpus.json|.jsonl>

Default corpus is the offline fixture (5 rows) under providers/matraix-persona-1m/fixtures/. capabilities() / provenance report corpusMode: "fixture" and a fixture dataset id — not the Hugging Face 1M release.

Larger corpora (per provider):

bash
# MatrAIx — optional download + decode (python3 + pyarrow [+ huggingface-cli])
bash ${SEED_DIR}/scripts/decode-matraix.sh --download --limit 1000
export MATRAIX_CORPUS_PATH=./matraix-1m.decoded.json

# Nemotron Personas USA — export HF rows to JSON/JSONL, then:
export NEMOTRON_CORPUS_PATH=./nemotron-usa.jsonl
node ${SEED_DIR}/scripts/search.js --repo nvidia/Nemotron-Personas-USA --intent '{"domain":["software"]}'

Empty filter results return [] (no silent unfiltered fallback). Re-check intent if search is empty.

Phase 0 — Route

If the user wants a specific real person / named character with evidence → hand off to anyone-skill.
If they want a sampled archetype / corpus seed → continue here.

Confirm provider (default matraix-persona-1m).

Phase 1 — Intent

Extract an Intent object (see schemas/intent.schema.json):

  • roleHint, domain, traits, locale, region, exclude, query, limit (default 5)

Do not invent MatrAIx attribute names for the user; keep intent in this normalized shape.

Phase 2 — Search + re-rank

  1. Run search.js --intent … (attribute filter scores).
  2. If the array is empty, broaden or rewrite intent — do not invent hits.
  3. You re-rank the shortlist against the user's free-text goal.
  4. Present 3–5 candidates (summary + highlights + corpusMode). Ask the user to pick one (or auto-pick top after confirmation).

Phase 3 — SeedProfile

bash
node ${SEED_DIR}/scripts/search.js --to-seed --id <chosen-id> > /tmp/seed-profile.json

Show identity.summary, key traits, gaps, and constraints.sensitiveFlags.
Fill gaps with the user:

  • required: personaName, slug, role
  • recommended: boundaries (especially if healthcare_domain is flagged)

Never set soul.identity.sourceIdentity for MatrAIx / statistical seeds.

Phase 4 — persona.json + create

bash
node ${SEED_DIR}/scripts/map-seed-to-persona.js \
  --seed /tmp/seed-profile.json \
  --overrides '{"personaName":"…","slug":"…","role":"mentor"}' \
  --out /tmp/persona.json

Then follow skills/open-persona to generate/install:

bash
npx openpersona create --config /tmp/persona.json --output <dir> --install

(or the equivalent non-interactive create flags available in this repo)

Phase 5 — Provenance

After the pack directory exists:

bash
node ${SEED_DIR}/scripts/write-provenance.js --pack <packDir> --seed /tmp/seed-profile.json

Writes soul/seed-provenance.json only — does not add unknown root keys to persona.json.

Ethics (short)

  • Corpus seeds are archetypes, not digital twins of living people.
  • Human-grounded MatrAIx rows are de-identified statistical profiles — still do not claim “I am that person.”
  • Respect dataset license notes from capabilities().
  • Healthcare-flagged seeds must keep clinical non-authority boundaries.

Adding another corpus later

  1. Prefer an existing family adapter if the schema matches.
  2. Otherwise add providers/<id>/ implementing the contract.
  3. Register in providers/registry.json (hfRepos, family, status).
  4. No new orchestration skill — reuse this one. /datasets listing alone is not enough.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Persona Seed AI skill do?

Create an OpenPersona pack from population / corpus seed providers (first: MatrAIx Persona 1M). Searches a pluggable seed index from user intent, maps a SeedProfile to persona.json, then generates via open-persona. Use when the user wants a persona from a large persona corpus, MatrAIx, or archetype sampling — not when distilling a specific real person (use anyone-skill).

Why use Persona Seed on TypingMind?

Because you install it once and use it with any model. Persona Seed is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Persona Seed in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/acnlabs/OpenPersona/tree/main/skills/persona-seed. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Persona Seed?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Persona Seed?

As many as you like. As long as a model supports skills, you can use Persona Seed with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Persona Seed AI skill free?

Yes. It is published on GitHub by acnlabs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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