Persona Pack Builder
Build, refine, and package sellable AI persona/prompt products such as companion personas, roleplay personas, prompt packs, and style bundles. Use when creat...
Description
name: persona-pack-builder description: Build, refine, and package sellable AI persona/prompt products such as companion personas, roleplay personas, prompt packs, and style bundles. Use when creating a persona product from scratch, converting rough prompt notes into a structured pack, generating deliverables like SYSTEM_PROMPT.md/config.json/examples, or preparing a persona pack for sale or internal reuse. Best for prompt products and persona bundles, not for impersonating real people. version: 1.0.0 metadata: openclaw: emoji: "🎭" homepage: "https://github.com/xiaonizhou-crypto/persona-pack-builder"
Persona Pack Builder
Build persona products as prompt packs first. Treat this skill as a product-packaging workflow for personality/style bundles, not as a real-person cloning workflow.
Output goal
Produce a reusable folder that usually contains:
README.mdSYSTEM_PROMPT.mdPERSONA_CORE.mdconfig.jsonexamples/short_replies.mdexamples/conversations.md- optional
modes/*.md - optional
SALES_COPY.md - optional
FAQ.md
If the user only needs a lightweight deliverable, collapse this to a single persona.md plus examples.md.
Workflow
1. Classify the product
Identify which product is being built:
- Prompt pack: reusable persona for end users across AI platforms
- Persona system: pack with multiple modes, JSON config, and examples
- Builder kit: reusable templates for generating many persona products
- OpenClaw skill candidate: only when the user explicitly wants an OpenClaw-installable workflow
Default to prompt pack unless the user clearly asks for a skill, installer, or agent workflow.
2. Extract the persona shape
Define these before writing files:
- positioning: what the persona feels like
- relationship: friend / lover / coach / creator / etc.
- tone: direct / soft / playful / cool / mature / etc.
- boundaries: what it must not do
- formats: which platforms or prompt slots it must fit
- monetization tier: lite / standard / pro / custom
When source material references a real person, abstract it into public-trait language. Do not claim identity, ownership, or exact replication of a real person.
3. Create the core files
Write the files in this order:
SYSTEM_PROMPT.md— concise, model-facing instructionsPERSONA_CORE.md— expanded human-facing specexamples/*.md— short replies and multi-turn examplesconfig.json— structured representation for products/appsREADME.md— buyer/operator instructions- optional
modes/*.md,SALES_COPY.md,FAQ.md
Prefer fewer stronger examples over large amounts of repetitive filler.
4. Keep the pack sellable
Optimize for:
- clear emotional effect
- consistent tone
- low cringe / low oiliness
- platform portability
- easy customization
The buyer should be able to answer:
- What feeling does this persona create?
- Where do I paste it?
- How do I tune it?
- What makes it different from random prompts online?
5. Package for the right audience
If the buyer is a normal AI user, deliver a prompt pack.
If the buyer is an advanced OpenClaw user, optionally also create:
- a skill folder with this workflow
- templates under
assets/ - references under
references/
Do not force persona content itself into a skill unless the user specifically wants agent-side automation.
Writing rules
- Use short, concrete language
- Keep the system prompt tighter than the human docs
- Keep examples natural; avoid repetitive catchphrases
- Avoid obvious customer-support phrasing
- Avoid direct celebrity impersonation or “I am X” framing
- Prefer style abstractions such as “top-star energy”, “direct but warm”, or “protective but restrained”
File guidance
SYSTEM_PROMPT.md
Include:
- role and tone
- interaction rules
- forbidden styles
- response priorities
Keep it compact enough to fit platforms with smaller system fields when possible.
PERSONA_CORE.md
Include:
- positioning
- traits
- relationship dynamic
- language style
- emotional logic
- naming/calling style
- dos and don'ts
examples/
Include at least:
- 15-30 short replies
- 5-10 multi-turn dialogues
Cover likely emotional states and product-selling moments.
config.json
Represent:
- name/version
- traits
- speech style
- modes
- boundaries
- optional tuning knobs
README.md
Explain:
- what the pack is
- who it is for
- included files
- how to use it
- what not to claim publicly
Decision rule: prompt pack vs skill
Choose prompt pack when the user wants to sell or use a persona directly.
Choose skill when the user wants an OpenClaw workflow that repeatedly generates persona packs, audits them, or standardizes packaging.
If both are useful, build the prompt pack first and the skill second.
Bundled resources
assets/templates/
Use the templates in assets/templates/ when the user wants a ready-made deliverable set. They provide a starter pack for:
README.mdSYSTEM_PROMPT.mdPERSONA_CORE.mdconfig.jsonexamples/short_replies.mdexamples/conversations.mdSALES_COPY.md
Copy and customize them instead of rewriting the same scaffolding from scratch.
scripts/
Use scripts/generate_persona_pack.py to generate a starter persona-product folder from templates.
Example:
python3 scripts/generate_persona_pack.py --output /tmp/my-pack
To override defaults, create a JSON file with replacement keys and pass:
python3 scripts/generate_persona_pack.py --output /tmp/my-pack --values values.json
Use the script when speed and packaging consistency matter more than bespoke wording.
References
- Read
references/persona-product-blueprint.mdfor a compact packaging blueprint. - Read
references/safety-positioning.mdwhen the request is inspired by a public figure or risks identity confusion. - Read
references/openclaw-skill-variant.mdwhen converting the persona-product workflow into an installable OpenClaw skill.
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