Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
日本語の概要は準備中です。原文の説明を表示しています。
Generate product requirements documents with optional publishing to Confluence or other wiki platforms
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Check agent_mode in 00-inbox/MY-PROFILE.md frontmatter:
agent_mode: team — use parallel agents to gather context from multiple sources (existing PRDs, related issues, competitive research) while draftingagent_mode: solo — gather context and draft sequentially in the main conversation/generate-prdRead 00-inbox/MY-INTEGRATIONS.md to determine publishing options:
Read 00-inbox/MY-PROFILE.md for:
Get current timestamp:
Run date '+%Y-%m-%d %H:%M' using Bash for the created: frontmatter field
Ask the user for the following (skip what they've already provided):
Required:
Optional (will generate reasonable defaults if not provided):
Launch context-gathering agents using the Task tool with run_in_background: true:
Agent: "existing-prd-scanner"
Scan the vault for existing PRDs and related documents.
1. Glob for PRDs: 04-projects/*/PRDs/*.md
2. Glob for related project files: 04-projects/[project]/**/*.md
3. Read recent PRDs to understand the user's preferred format and level of detail
4. Look for any existing docs related to the feature being specified
Return: relevant existing content, user's PRD style preferences, and any related docs
Agent: "issue-context-gatherer"
Gather related issues and feature requests from active trackers.
Check 00-inbox/MY-INTEGRATIONS.md for active trackers, then:
If Linear is active:
1. Use ToolSearch to load Linear tools
2. Search for issues related to [feature keywords]
3. Check current initiatives and projects for context
If GitHub is active:
1. gh search issues "[feature keywords]" --repo [CUSTOMIZE: your-org/your-repo] --json number,title,body,labels --limit 15
2. Check for related discussions or feature requests
Return: related issues, existing feature requests, and any prior discussion context
Run the same context gathering sequentially.
Create the PRD using this template:
---
type: prd
project: [project-name]
feature: [feature-name]
status: draft
author: [user name]
created: [YYYY-MM-DD HH:MM]
last_updated: [YYYY-MM-DD]
version: "1.0"
approvers: [CUSTOMIZE: list of approvers]
tags: ["#prd", "#product", "#[project-name]"]
---
# PRD: [Feature Name]
## Overview
| Field | Value |
|-------|-------|
| **Author** | [Name] |
| **Status** | Draft |
| **Created** | [Date] |
| **Target Release** | [Timeline or TBD] |
| **Priority** | [High/Medium/Low] |
---
## 1. Problem Statement
[Clear description of the problem being solved. Include data or evidence where available.]
### Who is affected?
[Target users and how they're impacted]
### What is the current experience?
[How users currently deal with this problem]
### Why now?
[Why this is important to solve at this time]
---
## 2. Goals & Success Metrics
### Goals
1. [Primary goal]
2. [Secondary goal]
3. [Tertiary goal]
### Success Metrics
| Metric | Current Baseline | Target | Measurement Method |
|--------|-----------------|--------|-------------------|
| [Metric 1] | [Current] | [Target] | [How to measure] |
| [Metric 2] | [Current] | [Target] | [How to measure] |
### Non-Goals
- [What this project explicitly does NOT aim to solve]
- [Scope boundaries]
---
## 3. User Stories
### Primary User: [User Type]
**Story 1:** As a [user type], I want [goal] so that [benefit].
**Story 2:** As a [user type], I want [goal] so that [benefit].
### Secondary User: [User Type] (if applicable)
**Story 3:** As a [user type], I want [goal] so that [benefit].
---
## 4. Proposed Solution
### 4.1 Solution Overview
[High-level description of the proposed solution]
### 4.2 Key Features
1. **[Feature 1]** — [Description]
2. **[Feature 2]** — [Description]
3. **[Feature 3]** — [Description]
### 4.3 User Flow
[Step-by-step description of the primary user flow]
1. User [action]
2. System [response]
3. User [action]
4. System [response]
### 4.4 Edge Cases & Error Handling
| Scenario | Expected Behavior |
|----------|------------------|
| [Edge case 1] | [How the system handles it] |
| [Edge case 2] | [How the system handles it] |
---
## 5. Technical Considerations
### Architecture Impact
[How this fits into the existing system architecture]
### Dependencies
- [Dependency 1] — [Status: available/needs work]
- [Dependency 2] — [Status: available/needs work]
### Technical Risks
| Risk | Likelihood | Impact | Mitigation |
|------|-----------|--------|------------|
| [Risk 1] | [H/M/L] | [H/M/L] | [Mitigation plan] |
### Performance Requirements
- [Performance requirement 1]
- [Performance requirement 2]
---
## 6. Design & UX
[Link to designs or describe UX requirements]
### Key UX Principles
- [Principle 1]
- [Principle 2]
### Accessibility Requirements
- [Requirement 1]
- [Requirement 2]
---
## 7. Release Strategy
### Rollout Plan
- **Phase 1:** [Description] — [Timeline]
- **Phase 2:** [Description] — [Timeline]
### Feature Flags
- [Feature flag 1] — [Purpose]
### Rollback Plan
[How to roll back if issues arise]
---
## 8. Open Questions
- [ ] [Question 1] — Owner: [Name]
- [ ] [Question 2] — Owner: [Name]
- [ ] [Question 3] — Owner: [Name]
---
## 9. References
- [Link to related PRDs]
- [Link to designs]
- [Link to research]
- [Link to related issues/tickets]
---
## Changelog
| Version | Date | Author | Changes |
|---------|------|--------|---------|
| 1.0 | [Date] | [Author] | Initial draft |
Present the generated PRD to the user:
PRD draft is ready for review.
Sections generated:
1. Problem Statement
2. Goals & Success Metrics
3. User Stories
4. Proposed Solution
5. Technical Considerations
6. Design & UX
7. Release Strategy
8. Open Questions
9. References
Would you like to:
a) Review the full PRD (I'll display it)
b) Save as-is to the vault
c) Make changes to specific sections
d) Publish to [active wiki platform] (requires your approval)
NEVER auto-publish. Always wait for explicit user approval.
Save the PRD to: 04-projects/[project]/PRDs/prd-[feature-slug]-YYYY-MM-DD.md
Create the directory structure if it doesn't exist:
mkdir -p "04-projects/[project]/PRDs"
Only proceed if the user explicitly approves publishing.
Use WebFetch to publish via Confluence REST API:
- POST /wiki/rest/api/content
- Space: [CUSTOMIZE: YOUR-SPACE-KEY]
- Parent page: [CUSTOMIZE: PRDs-parent-page-id]
- Title: "PRD: [Feature Name]"
- Body: [converted to Confluence storage format]
Note: Convert markdown to Confluence XHTML storage format before publishing.
1. Use ToolSearch to load Notion tools
2. Use mcp__claude_ai_Notion__notion-create-pages to create the PRD page
3. Place under [CUSTOMIZE: PRDs database or parent page]
Use WebFetch to publish via HackMD API:
- POST to create a new note
- Set permissions as configured
After publishing, update the vault copy with the published URL:
published_url: [URL]
published_at: [timestamp]
| Scenario | Behavior |
|---|---|
| No wiki platform active | Save to vault only — PRD is still fully useful as a local document |
| Publishing API fails | Save to vault, provide the formatted content for manual publishing |
| User doesn't specify project | List active projects from MY-PROFILE.md and ask |
| Minimal input provided | Generate a skeleton PRD with [TODO] markers for the user to fill in |
| Existing PRD found for same feature | Ask if this is an update/revision or a new PRD |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
日本語の概要は準備中です。原文の説明を表示しています。
Quick capture of raw thoughts with intelligent domain classification and competitive intelligence extraction
日本語の概要は準備中です。原文の説明を表示しています。
Run one task through the V-model verification loop: CP-2 plan → CP-3 build → CP-3v component verify → CP-4 integration verify (full lane) → CP-5 acceptance. The worker never grades its own homework; evidence rows trace back to AC-n. Opt-in: invoke with /closed-loop or by asking for the closed loop, proper verification, or an evidence trail. Ordinary work does not run this.
日本語の概要は準備中です。原文の説明を表示しています。
Deep-dive 7-day analysis across all data sources for weekly reviews, board prep, and strategic planning
日本語の概要は準備中です。原文の説明を表示しています。
Autonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishing
日本語の概要は準備中です。原文の説明を表示しています。
Create user stories with duplicate checking across any project tracker (Linear, GitHub Issues, Jira)
日本語の概要は準備中です。原文の説明を表示しています。