Generate a Product Requirements Document (PRD) for a new feature.

MITAuto-check passedProduct & Project Management

Install Prd

skills CLI
$ npx skills add smallnest/goal-workflow --skill prd -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install smallnest/goal-workflow prd --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/smallnest/goal-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prd .claude/skills/prd && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
prd
GitHub stars
289
Token cost
~3.1k tokens
SKILL.md length
921 words
Files
4
Skills in repo
20
Repo updated
First seen
Licence
MIT

At a glance

Generate a Product Requirements Document (PRD) for a new feature.

  • Works in 3 steps: Clarifying Questions → PRD Structure → Next Steps
  • Planning a feature
  • SKILL.md covers The Job, Step 1: Clarifying Questions, Edge Cases & Fallback and Step 2: PRD Structure, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prd is an agent skill from smallnest/goal-workflow. Generate a Product Requirements Document (PRD) for a new feature. Use when planning a feature, starting a new project, or when asked to create a PRD. After PRD is confirmed, use /prd-to-spec (optional) for technical design, then /to-issues to create implementable tickets. Triggers on: create a prd, write prd for, plan this feature, requirements for, spec out, 写PRD, 需求文档, 需求分析, 规格说明.

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `README.md` and `test-prompts.json`).

It sits in Product & Project Management, covering PRD writing. The repository describes itself as: AI-driven development workflow with /prd, /goal, /review-it and /ship-it skills. The licence is MIT.

When your agent uses it

  • Planning a feature
  • Starting a new project
  • Asked to create a PRD
  • Plan this feature

Example prompts

  • “/prd”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Clarifying Questions
  2. PRD Structure
  3. Next Steps

What it can do on your machine

Read from SKILL.md and the folder at commit b06ab3c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Prd loads about 3.1k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 921 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from smallnest/goal-workflow at commit b06ab3c, republished under its MIT licence (© smallnest). 921 words, ~3,078 tokens.

Download SKILL.mdSave it as .claude/skills/prd/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
prd
description
Generate a Product Requirements Document (PRD) for a new feature. Use when planning a feature, starting a new project, or when asked to create a PRD. After PRD is confirmed, use /prd-to-spec (optional) for technical design, then /to-issues to create implementable tickets. Triggers on: create a prd, write prd for, plan this feature, requirements for, spec out, 写PRD, 需求文档, 需求分析, 规格说明.
user-invocable
true

PRD Generator

Create detailed Product Requirements Documents that are clear, actionable, and suitable for implementation. After PRD is confirmed, use /to-issues to decompose it into Issues, and optionally /prd-to-spec for technical design before that.


The Job

  1. Receive a feature description from the user
  2. Ask clarifying questions to cover key ambiguities — scale the count to complexity, not a fixed number (see Step 1)
  3. Generate a structured PRD based on answers
  4. Present PRD to user for review — ask "Please review the PRD. Let me know if any adjustments are needed, or reply OK to confirm."
  5. Apply any adjustments, then save to tasks/prd-[feature-name].md
  6. Suggest next steps (see Step 3)

Important: Do NOT start implementing. Just create the PRD.


Step 1: Clarifying Questions

Ask only critical questions where the initial prompt is ambiguous. Scale the number of questions to the feature's complexity — the goal is covering key ambiguities, not hitting a fixed count:

  • Simple, well-scoped feature: 2-3 questions
  • Typical feature: 3-5 questions
  • Complex feature (multiple user roles, cross-system integration, significant ambiguity): 6-8 questions

If a dimension is already unambiguous from the user's input, skip it — don't ask filler questions just to reach a number. Focus on:

  • Problem/Goal: What problem does this solve?
  • Core Functionality: What are the key actions?
  • Scope/Boundaries: What should it NOT do?
  • Success Criteria: How do we know it's done?
Format Questions Like This:
1. What is the primary goal of this feature?
   A. Improve user onboarding experience
   B. Increase user retention
   C. Reduce support burden
   D. Other: [please specify]

2. Who is the target user?
   A. New users only
   B. Existing users only
   C. All users
   D. Admin users only

3. What is the scope?
   A. Minimal viable version
   B. Full-featured implementation
   C. Just the backend/API
   D. Just the UI

This lets users respond with "1A, 2C, 3B" for quick iteration. Remember to indent the options.


Edge Cases & Fallback

ScenarioHandling
User skips clarifying questions (e.g., replies "whatever", "just write it")Fill with reasonable defaults, mark with [Assumption] in PRD, prompt user to confirm during review
User input is too vague (e.g., "add a feature")Ask once for specifics; if still vague, infer from project context and mark assumptions
tasks/ directory does not existAuto-create tasks/ directory
feature-name is hard to extract from inputAsk the user directly: "Suggested PRD filename is prd-XXX.md, please confirm or modify"
User requests PRD changes after reviewApply changes and re-save without re-running the clarification flow
PRD content exceeds 500 linesSuggest the user consider splitting into multiple sub-feature PRDs
User declines to proceedJust save the PRD, user can run /to-issues later
Issue creation needed laterSuggest running /to-issues with the saved PRD file

Step 2: PRD Structure

Generate the PRD with these sections:

1. Introduction/Overview

Brief description of the feature and the problem it solves. Use plain language — avoid jargon or explain it. Assume the reader may be a junior developer or AI agent.

2. Goals

Specific, measurable objectives (bullet list).

Show full SKILL.md (493 more words)Show less
3. User Stories

Each story needs:

  • Title: Short descriptive name
  • Description: "As a [user], I want [feature] so that [benefit]"
  • Acceptance Criteria: Verifiable checklist of what "done" means

Numbering rule: US-001, US-002, US-003... (three digits, starting from 001). Each US should be independently implementable and small enough to complete within one focused agent session.

Mandatory E2E test story: Every PRD MUST include one end-to-end (E2E) test user story as the last user story. It validates the complete feature flow across the whole stack — from user action through UI, API, and data layer — not an isolated unit. Its acceptance criteria describe the full happy-path journey a real user takes to accomplish the feature's core goal, plus at least one critical edge/failure path, all asserted through an automated E2E test (e.g., Playwright/Cypress for UI, or an API-level integration test for backend-only features). This story depends on all others and confirms the feature works as a whole.

Acceptance criteria self-check template: Each criterion must satisfy at least one of the following, otherwise it is considered "vague" and must be rewritten:

  • Observable: describes a specific UI state or API response (e.g., "button shows confirmation dialog")
  • Testable: has clear input/output pairs (e.g., "entering an empty email shows a red warning")
  • Verifiable: can be checked by tools (e.g., "Typecheck/lint passes")
  • ❌ Bad example: "works correctly", "good user experience", "excellent performance" → these are unverifiable

Format:

markdown
### US-001: [Title]
**Description:** As a [user], I want [feature] so that [benefit].

**Acceptance Criteria:**
- [ ] Specific verifiable criterion
- [ ] Another criterion
- [ ] Typecheck/lint passes
- [ ] **[UI stories only]** Verify in a browser (e.g., via the `run` skill)

E2E story format:

markdown
### US-NNN: End-to-end test of [feature] flow
**Description:** As a QA engineer, I want an automated end-to-end test covering the full [feature] journey so that we catch regressions across the entire stack.

**Acceptance Criteria:**
- [ ] Automated E2E test simulates the full happy path (user action → UI → API → data → visible result)
- [ ] Covers at least one critical edge/failure path (e.g., invalid input, empty state, permission denied)
- [ ] Test runs in CI and passes
- [ ] Test is independent and repeatable (sets up and tears down its own data)

Important:

  • Acceptance criteria must be verifiable, not vague. "Works correctly" is bad. "Button shows confirmation dialog before deleting" is good.
  • For any story with UI changes: Always include "Verify in a browser" as acceptance criteria (e.g., via the run skill). This ensures visual verification of frontend work.
4. Functional Requirements

Numbered list of specific functionalities:

  • "FR-1: The system must allow users to..."
  • "FR-2: When a user clicks X, the system must..."

FR specification: Each FR starts with FR-N: (N increments from 1), uses "system must / system shall" phrasing, and describes one specific behavior. Avoid combining multiple "and"-linked behaviors in a single FR.

5. Non-Goals (Out of Scope)

What this feature will NOT include. Critical for managing scope.

6. Design Considerations (Optional)
  • UI/UX requirements
  • Link to mockups if available
  • Relevant existing components to reuse
7. Technical Considerations (Optional)
  • Known constraints or dependencies
  • Integration points with existing systems
  • Performance requirements
8. Success Metrics

How will success be measured?

  • "Reduce time to complete X by 50%"
  • "Increase conversion rate by 10%"
9. Open Questions

Remaining questions or areas needing clarification.


Output

  • Format: Markdown (.md)
  • Location: tasks/
  • Filename: prd-[feature-name].md (kebab-case)

Step 3: Next Steps

After the PRD is saved, suggest the user:

✅ PRD saved to tasks/prd-[feature-name].md

Next steps:
  /prd-to-spec  →  Generate technical SPEC (optional — for complex features)
  /to-issues    →  Decompose into Issues and create tickets

Or go straight to implementation:
  /to-issues    →  Create Issues, then /goal to implement

If the user wants to proceed, invoke the corresponding skill.


Example PRD

markdown
# PRD: Task Priority System

## Introduction

Add priority levels to tasks so users can focus on what matters most. Tasks can be marked as high, medium, or low priority, with visual indicators and filtering to help users manage their workload effectively.

## Goals

- Allow assigning priority (high/medium/low) to any task
- Provide clear visual differentiation between priority levels
- Enable filtering and sorting by priority
- Default new tasks to medium priority

## User Stories

### US-001: Add priority field to database
**Description:** As a developer, I need to store task priority so it persists across sessions.

**Acceptance Criteria:**
- [ ] Add priority column to tasks table: 'high' | 'medium' | 'low' (default 'medium')
- [ ] Generate and run migration successfully
- [ ] Typecheck passes

### US-002: Display priority indicator on task cards
**Description:** As a user, I want to see task priority at a glance so I know what needs attention first.

**Acceptance Criteria:**
- [ ] Each task card shows colored priority badge (red=high, yellow=medium, gray=low)
- [ ] Priority visible without hovering or clicking
- [ ] Typecheck passes
- [ ] Verify in a browser (e.g., via the `run` skill)

### US-003: Add priority selector to task edit
**Description:** As a user, I want to change a task's priority when editing it.

**Acceptance Criteria:**
- [ ] Priority dropdown in task edit modal
- [ ] Shows current priority as selected
- [ ] Saves immediately on selection change
- [ ] Typecheck passes
- [ ] Verify in a browser (e.g., via the `run` skill)

### US-004: Filter tasks by priority
**Description:** As a user, I want to filter the task list to see only high-priority items when I'm focused.

**Acceptance Criteria:**
- [ ] Filter dropdown with options: All | High | Medium | Low
- [ ] Filter persists in URL params
- [ ] Empty state message when no tasks match filter
- [ ] Typecheck passes
- [ ] Verify in a browser (e.g., via the `run` skill)

### US-005: End-to-end test of task priority flow
**Description:** As a QA engineer, I want an automated end-to-end test covering the full priority journey so that we catch regressions across the entire stack.

**Acceptance Criteria:**
- [ ] E2E test creates a task, sets its priority via the edit modal, and asserts the badge color updates on the card
- [ ] Test applies a priority filter and asserts only matching tasks remain visible
- [ ] Covers edge case: filtering to a priority with no tasks shows the empty state message
- [ ] Test runs in CI and passes
- [ ] Test sets up and tears down its own task data

## Functional Requirements

- FR-1: Add `priority` field to tasks table ('high' | 'medium' | 'low', default 'medium')
- FR-2: Display colored priority badge on each task card
- FR-3: Include priority selector in task edit modal
- FR-4: Add priority filter dropdown to task list header
- FR-5: Sort by priority within each status column (high to medium to low)

## Non-Goals

- No priority-based notifications or reminders
- No automatic priority assignment based on due date
- No priority inheritance for subtasks

## Technical Considerations

- Reuse existing badge component with color variants
- Filter state managed via URL search params
- Priority stored in database, not computed

## Success Metrics

- Users can change priority in under 2 clicks
- High-priority tasks immediately visible at top of lists
- No regression in task list performance

## Open Questions

- Should priority affect task ordering within a column?
- Should we add keyboard shortcuts for priority changes?

Checklist

Before saving the PRD:

  • Asked clarifying questions with lettered options
  • Incorporated user's answers
  • User stories are small and specific
  • Included a mandatory end-to-end (E2E) test story as the last user story
  • Functional requirements are numbered and unambiguous
  • Non-goals section defines clear boundaries
  • Saved to tasks/prd-[feature-name].md
  • Suggested next steps: /prd-to-spec (optional) and /to-issues

© smallnest, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in skills/prd of smallnest/goal-workflow.

  • SKILL.md
  • LICENSE
  • README.md
  • test-prompts.json

Open the folder on GitHubat commit b06ab3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in smallnest/goal-workflow, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Questions about Prd

What does Prd do?

Generate a Product Requirements Document (PRD) for a new feature. Prd is an agent skill from smallnest/goal-workflow. Generate a Product Requirements Document (PRD) for a new feature.

When should I use Prd?

Prd fits situations like: planning a feature; starting a new project; asked to create a PRD; plan this feature.

How do I install Prd in Claude Code?

Run `npx skills add smallnest/goal-workflow --skill prd -a claude-code`. Or copy the skill folder (skills/prd in smallnest/goal-workflow) into .claude/skills/prd in your project. Claude Code loads it when a task matches its description.

How do I install Prd in Codex?

Run `npx skills add smallnest/goal-workflow --skill prd -a codex`. Or copy the skill folder (skills/prd in smallnest/goal-workflow) into .agents/skills/prd in your project. Codex loads it when a task matches its description.

Can I use Prd in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add smallnest/goal-workflow --skill prd -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prd, .gemini/skills/prd, .github/skills/prd and .opencode/skills/prd in your project.

What does Prd need to run?

SKILL.md names no scripts, command-line tools or credentials: Prd is instructions for the agent only.

Does Prd access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Prd safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Prd use?

Prd is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prd use?

About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Prd?

Skills that share tags, products or a category with Prd: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Adversarial Spec (zscole/adversarial-spec, 556 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prd?

smallnest (a GitHub user) maintains it in smallnest/goal-workflow, which has 289 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 13, 2026.

Source: smallnest/goal-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.