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Persona Review

Community
glebis
persona-review

Review a document from multiple stakeholder perspectives (personas), collect structured feedback, and optionally update the document. Use when a document should be stress-tested from different viewpoints before sharing — e.g., "review this PRD from an engineer's perspective", "what would a skeptical investor say about this pitch?" Triggers on persona review, review from a stakeholder perspective, what would an engineer say, stress-test this PRD, review this pitch, skeptical investor.

Overview

Publisherglebis
Repositoryhumane-agentic-design
Skill namepersona-review
Stars
38
Forks
3
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Persona Review 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/glebis/humane-agentic-design/tree/main/humane/skills/persona-review
  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/glebis/humane-agentic-design.git /tmp/humane-agentic-design
mkdir -p .claude/skills
cp -r /tmp/humane-agentic-design/humane/skills/persona-review .claude/skills/persona-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Persona Review 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 Review 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 Review 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 Review

Announce at start: "I'm using the humane:persona-review skill to stress-test this document from stakeholder perspectives."

Overview

Takes a document and reviews it from N configurable personas. Each persona reads the document independently, provides structured feedback, then optionally the document is updated to address the feedback.

Usage

/persona-review [file-path] [personas]

Arguments:

  • file-path — path to the document to review (required). If omitted, ask user.
  • personas — comma-separated persona names or "auto" (default: auto)

Examples:

/persona-review PRD.md engineer,designer,exec
/persona-review "Claude-Drafts/pitch-deck-script.md" auto
/persona-review  # will ask for file and use auto personas

Workflow

Step 1: Load Document

Read the target file. Extract its purpose from context (frontmatter, filename, content).

Step 2: Select Personas

If auto: Choose 3 personas most relevant to the document type:

  • PRD/spec → Skeptical Engineer, UX Designer, Business Stakeholder
  • Pitch/proposal → Potential Customer, Investor, Competitor
  • Blog post/article → Target Reader, Editor, Subject Expert
  • Teaching material → Beginner Student, Advanced Practitioner, Curriculum Designer
  • Marketing copy → Target Audience Member, Brand Skeptic, SEO Specialist

If specified: Use the named personas. Interpret flexibly — "engineer" becomes "Senior Engineer who has seen too many half-baked specs."

Step 3: Review Rounds

For each persona, generate a review with this structure:

markdown
### [Persona Name]
**Perspective:** [1-line description of who they are and what they care about]

**Reaction:** [2-3 sentences — their gut reaction on first read]

**Strengths:**
- [What works well from this perspective]

**Concerns:**
- [What's missing, unclear, or problematic]

**Key Question:** [The single most important question this persona would ask]

**Suggestion:** [One specific, actionable improvement]

Step 4: Synthesis

After all persona reviews, create a synthesis section:

markdown
## Synthesis

**Consensus strengths:** [What all personas agreed works]
**Consensus gaps:** [What multiple personas flagged]
**Tensions:** [Where personas disagree — these are the interesting trade-offs]
**Priority changes:** [Top 3 changes ranked by impact]

Step 5: Ask User

Present the full review and ask:

"Apply the top changes to the document? (all / pick / none)"

  • all — Apply all priority changes
  • pick — Let user select which to apply
  • none — Leave document unchanged, keep review as reference

Step 6: Apply (if requested)

Edit the original document to address selected feedback. Keep changes minimal and targeted. After editing, show a brief diff summary of what changed.

Step 7: Save Review

Save the review alongside the document:

  • If document is path/to/doc.md, save review as path/to/doc-persona-review.md
  • Add frontmatter linking back to the original document:
markdown
---
type: persona-review
source: "[[original-document]]"
personas: [list]
created_date: '[[YYYYMMDD]]'
---

Guidelines

  • Each persona should have a distinct voice — don't make them all sound like the same reviewer with different labels
  • Personas should be constructively critical, not adversarial
  • Focus on substance (logic, completeness, clarity) not style (grammar, formatting)
  • If the document is in Russian, reviews should be in Russian
  • Keep each persona review under 200 words — brevity forces prioritization
  • The "Key Question" is the most valuable output — it should be something the author genuinely hadn't considered

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 Review AI skill do?

Review a document from multiple stakeholder perspectives (personas), collect structured feedback, and optionally update the document. Use when a document should be stress-tested from different viewpoints before sharing — e.g., "review this PRD from an engineer's perspective", "what would a skeptical investor say about this pitch?" Triggers on persona review, review from a stakeholder perspective, what would an engineer say, stress-test this PRD, review this pitch, skeptical investor.

Why use Persona Review on TypingMind?

Because you install it once and use it with any model. Persona Review 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 Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/glebis/humane-agentic-design/tree/main/humane/skills/persona-review. 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 Review?

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 Review?

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

Is the Persona Review AI skill free?

Yes. It is published on GitHub by glebis 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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