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observo-aiobservo-ai/observo-qa-toolkit/skills/prd/SKILL.md

prd

Skill1 starsChanged 6 months agoMITView on GitHub

Write a structured PRD from raw user input — meeting transcripts, notes, or feature descriptions. Default English body and English section headings; non-English body opt-in via `.observo-toolkit.json:prd_language`. Use when the user asks to "write a PRD", "draft a PRD", "write a PRD for <feature>", "PRD from this transcript / these notes", or provides meeting notes / requirements text expecting a structured product spec back. Default save location: `<prd_save_dir>` from `.observo-toolkit.json`, fallback `./docs/PRDs/<feature-name>.md`.

125 other projects use a version of this.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

We split this skill into the rules it gives an agent

8 rules. 0 are common, 5 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 102 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read everything the user provides.

    line 14
  2. Distinctive:

    Ask no clarifying questions unless a critical piece is truly missing (e.g.

    line 15
  3. Very specific:

    Write the PRD using the structure below.

    line 16
  4. Very specific:

    Read .observo-toolkit.json:prd_save_dir if present — save under that directory.

    line 18
  5. Very specific:

    If neither path is suitable for the repo, ask the user via AskUserQuestion for the target path before writing.

    line 20
  6. Distinctive:

    Always annotate each data field with its source (auto-pulled, bot-filled, manual).

    line 71
  7. Distinctive:

    When the transcript contains an explicit agreement ("we decided X"), record it as a decision, not a suggestion.

    line 73
  8. Distinctive:

    Keep language direct and implementation-agnostic unless the transcript specifies a technology.

    line 74

“Common” is measured: kept by at least 6 in 10 of the 102 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

PRD Skill — Write a PRD from user input

The user will provide raw input — typically a meeting transcript, notes, or a brief description of a feature. Your job is to produce a structured PRD.

Language: English by default. Body, section headings, field notes, and user stories are all English. If the consumer repo opts into a different body language via .observo-toolkit.json:prd_language (ru / ua / etc.), keep the section headings English regardless — code identifiers (field names, endpoints) always stay English.

Steps

  1. Read everything the user provides. If it's a meeting transcript, extract decisions, requirements, field names, data sources, and explicit non-goals.
  2. Ask no clarifying questions unless a critical piece is truly missing (e.g. no target product mentioned at all). Make reasonable assumptions and note them.
  3. Write the PRD using the structure below. Body language: read .observo-toolkit.json:prd_language — default English; respect the configured value if set.
  4. Save the file to the appropriate location:
    • Read .observo-toolkit.json:prd_save_dir if present — save under that directory.
    • Otherwise default to ./docs/PRDs/PRD-<feature-name>.md (create the directory if missing).
    • If neither path is suitable for the repo, ask the user via AskUserQuestion for the target path before writing.

PRD Structure

# PRD: <Feature Name>

**Author:** <from context, or ask the user>
**Date:** <today>
**Status:** Draft
**Source:** <where the requirements came from, e.g. "Meeting YYYY-MM-DD with X">

---

## Overview
One paragraph — what this is and why we need it.

## Problem Statement
What is broken or missing today.

## Goals
Numbered list of concrete outcomes.

## Non-Goals
What is explicitly out of scope for this iteration.

## User Stories
Table: # | As a… | I want to… | So that…

## Data Model
Field table: Field | Source | Notes
Source — one of: System / Pulled from <Entity> / Bot (from <origin>) / Manual (<who>)

## API Endpoints (if applicable)
Table: Method | Path | Description

## UI (if applicable)
Key screens and interactions. Call out which parts are read-only vs editable, and by whom.

## Integrations (if applicable)
External systems (bots, Slack, third-party services) and the contract they must adhere to.

## Acceptance Criteria
Checklist of verifiable conditions.

## Out of Scope (Future)
Explicitly deferred items.

Notes on tone and decisions

  • Always annotate each data field with its source (auto-pulled, bot-filled, manual).
  • Capture who owns each manually-filled field by name if mentioned.
  • When the transcript contains an explicit agreement ("we decided X"), record it as a decision, not a suggestion.
  • Keep language direct and implementation-agnostic unless the transcript specifies a technology.

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