Paw Ps Research To Brief logo

Paw Ps Research To Brief

Organization
pawbytes
paw-ps-research-to-brief

Convert discovery, market, and audience research into a structured product brief. Triggers: 'create product brief', 'research to brief', 'synthesize research', 'product brief from research', 'consolidate findings'.

Overview

Publisherpawbytes
Repositoryskill-suites
Skill namepaw-ps-research-to-brief
Stars
117
Forks
20
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Paw Ps Research To Brief 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/pawbytes/skill-suites/tree/main/src/prodig/paw-ps-research-to-brief
  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/pawbytes/skill-suites.git /tmp/skill-suites
mkdir -p .claude/skills
cp -r /tmp/skill-suites/src/prodig/paw-ps-research-to-brief .claude/skills/paw-ps-research-to-brief
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paw Ps Research To Brief 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 Paw Ps Research To Brief 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 Paw Ps Research To Brief 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.

Research to Brief

Overview

A deterministic workflow that converts validated research outputs into a clean, structured product brief. This pipeline ensures no evidence or uncertainty is lost during synthesis.

Args: Accepts --headless / -H for non-interactive execution.

Output: Product brief document with preserved signals (evidence and uncertainties).


Pipeline

Stage 1: Gather Inputs

Load ./references/01-gather-inputs.md

Collect all relevant research files from the product workspace:

  • Discovery outputs (product-context.md)
  • Market intelligence (market-intelligence.md)
  • Audience intelligence (audience-intelligence.md)

Progression: Proceed when at least one input source is located.

Stage 2: Validate Completeness

Load ./references/02-validate-completeness.md

Assess whether inputs meet minimum thresholds for brief synthesis. Identify gaps and either proceed with available data or flag for additional research.

Progression: Proceed when minimum input requirements are met OR explicit decision to proceed with gaps documented.

Stage 3: Synthesize Brief

Load ./references/03-synthesize-brief.md

Create the structured product brief by consolidating validated inputs into a single document. Apply consistent formatting and ensure traceability to source materials.

Progression: Proceed when brief structure is complete with all required sections populated.

Stage 4: Preserve Signals

Load ./references/04-preserve-signals.md

Document key evidence sources and unresolved uncertainties. Create signal preservation notes that trace decisions back to research findings.

Progression: Complete when all signals are documented and appended to the brief or decision log.


On Activation

  1. Determine the product workspace root: {project-root}/.pawbytes/prodig-suites/
  2. Identify active product context from .pawbytes/prodig-suites/active-product.md if it exists
  3. If no active product is set and not in headless mode, prompt user to specify product slug
  4. Begin pipeline at Stage 1

Input Sources

SourceFile PathRequired
Discovery.pawbytes/prodig-suites/products/{product-slug}/product-context.mdPreferred
Market Research.pawbytes/prodig-suites/products/{product-slug}/market-intelligence.mdPreferred
Audience Research.pawbytes/prodig-suites/products/{product-slug}/audience-intelligence.mdPreferred

Minimum Requirement: At least one of the three input sources must be available.


Output Structure

.pawbytes/prodig-suites/products/{product-slug}/
├── product-brief.md              # Main brief document
├── signal-notes.md               # Evidence and uncertainty log
└── product-decisions.md          # Appended brief metadata (if exists)

Output Contract

Every execution delivers:

  • Action type: Brief synthesis from research inputs
  • Files saved:
    • product-brief.md — Structured product brief
    • signal-notes.md — Evidence and uncertainty preservation
  • Recommendations: Next steps (e.g., validate with stakeholders, initiate design phase)
  • File saved to: .pawbytes/prodig-suites/products/{product-slug}/

Headless Mode

When invoked with --headless or -H:

  1. Attempt to read active product from .pawbytes/prodig-suites/active-product.md
  2. If not found, scan for most recently modified product workspace
  3. Execute all stages without prompts
  4. Document any gaps or assumptions in signal notes
  5. Exit with status code 0 on success, 1 if minimum inputs not met

Quality Gates

StageGate Condition
Gather InputsAt least 1 input file located
Validate CompletenessMinimum input threshold met OR documented decision to proceed
Synthesize BriefAll required brief sections populated
Preserve SignalsAll evidence and uncertainties documented

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 Paw Ps Research To Brief AI skill do?

Convert discovery, market, and audience research into a structured product brief. Triggers: 'create product brief', 'research to brief', 'synthesize research', 'product brief from research', 'consolidate findings'.

Why use Paw Ps Research To Brief on TypingMind?

Because you install it once and use it with any model. Paw Ps Research To Brief 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 Paw Ps Research To Brief in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pawbytes/skill-suites/tree/main/src/prodig/paw-ps-research-to-brief. 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 Paw Ps Research To Brief?

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 Paw Ps Research To Brief?

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

Is the Paw Ps Research To Brief AI skill free?

Yes. It is published on GitHub by pawbytes 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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