product-specify
Use when you want guided trade-off analysis, multi-option comparison, or structured product decision facilitation before documenting. Optional for routine capture — team-boot writes lightweight PDR drafts directly.
How do I install this agent skill?
npx skills add https://github.com/tikalk/adlc-team-skills --skill product-specifyIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill is safe and focuses on structured product decision documentation. It facilitates collaborative trade-off analysis and generates individual PDR files. A minor security consideration is the indirect prompt injection surface resulting from the skill reading project documentation files to provide context, which is a standard pattern for development-oriented agents.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
product-specify
What this skill does
Transforms a high-level product idea into documented Product Decision Records (PDRs) through interactive exploration and trade-off analysis.
Key insight: Discussion and exploration happen before committing to formal documentation. The goal is to surface trade-offs, validate assumptions, and make informed decisions collaboratively.
Output: Individual PDR-{NNN}.md files (status Proposed) in .adlc/drafts/pdr/ with an auto-generated pdr.md index.
When to use
Note: Routine decision capture is handled by team-boot's continuous capture mechanism, which writes lightweight drafts directly to
.adlc/drafts/. This skill is for interactive deep-dive exploration — when you want guided trade-off analysis, multi-option comparison, or structured decision facilitation before documenting.
- New product from scratch
- Major product pivots
- Documenting verbal decisions formally
- Team onboarding — walking through product rationale
When NOT to use
- Existing product (use
/product-initinstead) - Minor PDR updates (use
/product-clarifyinstead)
Execution Steps
Phase 0: Environment Setup
sh: scripts/bash/setup-product-specify.sh [--json]
ps: scripts/powershell/setup-product-specify.ps1
Requires: the product-clarify skill (provides pdr-lib.sh): adlc-cli skills add tikalk/adlc-team-skills --skill product-clarify
Setup output (JSON):
{
"REPO_ROOT": "/path/to/project",
"PDR_DRAFTS_DIR": "/path/to/project/.adlc/drafts/pdr",
"PRD_FILE": "/path/to/project/PRD.md",
"next_pdr": "001"
}
Phase 1: Feature-Area Decomposition (Optional)
Analyze the product for distinct business domains. Auto-decompose if multiple domains detected. Use --no-decompose to skip.
Present detected areas:
## Detected Feature Areas
| # | Feature Area | Key Domains | Rationale |
|---|--------------|-------------|-----------|
| 1 | **Auth** | Authentication, Authorization | Core user entry |
| 2 | **Core** | User Management, Profiles | Core data |
| 3 | **Business** | Payments, Subscriptions | Revenue domain |
Reply: Y to confirm, n for monolithic, or suggest changes.
Threshold:
- ≤3 areas: Auto-approve
- 4-6 areas: Confirm with user
-
6 areas: Suggest grouping
Phase 2: Product Analysis
Extract product drivers:
- Problem Drivers: Core problem, who experiences it, current workarounds
- Market Drivers: Target segments, competitive landscape, trends
- Business Drivers: Revenue model, scaling expectations, strategic importance
- Constraint Drivers: Technology mandates, budget, team skills, regulatory
- Load Constitution: Read
{REPO_ROOT}/docs/adlc/memory/constitution.md(legacy{REPO_ROOT}/.adlc/memory/constitution.mdfallback — ADR-401 dual-read) if either exists - Check Existing Docs: Scan
README.md,AGENTS.md,CONTRIBUTING.mdfor context
Phase 3: Product Exploration (Interactive)
For each major decision area, present options and facilitate discussion:
Decision areas (5-7 key decisions):
- Problem Scope
- Target Personas
- Solution Approach (build vs buy vs partner)
- Monetization
- Go-to-Market
- Success Metrics
Exploration format:
## Product Decision: [Decision Area]
**Context**: [Why this decision matters]
**Options**:
| Option | Description | Trade-offs |
|--------|-------------|------------|
| A | [Option A] | Pros: [X] / Cons: [Y] |
| B | [Option B] | Pros: [X] / Cons: [Y] |
**Recommended**: Option [X]
**Questions**:
1. [Question about constraints]
2. [Question about trade-off priorities]
Rules:
- Present one decision area at a time
- Always provide a recommended option with reasoning
- Ask targeted questions to surface hidden requirements
- Skip decisions already determined by context or constitution
- Limit to 5-7 key decisions
Phase 4: Cross-Feature-Area Pre-Analysis
During exploration, watch for:
| Pattern | Detection | Action |
|---|---|---|
| Shared Personas | Same user type in multiple areas | Note for cross-area metadata |
| Priority Tensions | Areas prioritize differently | ⚠️ Flag potential conflict |
| Feature Overlap | Similar features in different areas | ⚠️ Flag for consolidation |
| Metric Conflicts | Same metric, different targets | ⚠️ Flag for alignment |
Phase 5: Decision Documentation
After each decision is confirmed, create a PDR file.
PDR file format (individual file, YAML frontmatter — use the shared template):
Use the template at {REPO_ROOT}/.agents/skills/product/templates/pdr-template.md as the canonical PDR format. The template includes YAML frontmatter (status, date, owner, category, feature-area, title) as the single source of truth for index generation, plus the standard PDR body sections (Context, Decision, Consequences, Alternatives, Links).
---
status: proposed
date: YYYY-MM-DD
owner: [User/AI collaboration]
category: Feature
feature-area: [core | business | growth | ...]
title: [Decision Title]
---
# PDR-[NNN]: [Decision Title]
## Context
**Problem/Opportunity:**
[Clear description]
**Market Forces:**
- [Market factor 1]
- [Customer feedback]
## Decision
**Decision Statement:**
[Clear statement of what was decided]
**Rationale:**
[Why this option was chosen]
### Consequences
#### Positive
- [Benefit 1]
#### Negative
- [Trade-off 1]
#### Risks
- [Risk with mitigation]
### Success Metrics
| Metric | Target | Measurement Method |
|--------|--------|-------------------|
| [Metric] | [Target] | [Method] |
### Alternatives Considered
#### Option A: [Alternative Name]
**Description:** [Brief description]
**Trade-offs:** [Neutral comparison]
### Constitution/Vision Alignment
| Principle | Alignment | Notes |
|-----------|-----------|-------|
| [Vision Principle] | ✅ Compliant / ⚠️ Deviation | [Explanation] |
Phase 6: Write PDR Files and Regenerate Index
- Number sequentially: Start from highest existing PDR number + 1
- Write individual files:
{REPO_ROOT}/.adlc/drafts/pdr/PDR-{NNN}.md - Regenerate index:
{REPO_ROOT}/.adlc/drafts/pdr/pdr.md
Index format:
# Product Decision Records
## PDR Index
| ID | Feature-Area | Category | Status | Date | Owner |
|----|--------------|----------|--------|------|-------|
| PDR-001 | System | Target Market | Proposed | 2026-03-09 | User/AI |
| PDR-002 | Auth | Primary Persona | Proposed | 2026-03-09 | User/AI |
---
*Individual PDR files: PDR-*.md in this directory*
Phase 7: Summary Report
## Feature Area Decomposition Summary
### Feature Areas Identified: 3
| # | Feature Area | PDRs Created |
|---|--------------|--------------|
| 1 | System-Level | PDR-001: Target Market |
| 2 | Auth | PDR-002: Primary Persona, PDR-003: Authentication Approach |
| 3 | Business | PDR-004: Pricing Model, PDR-005: Payment Integration |
### Next Steps
1. Review PDRs with /product-clarify
2. Generate PRD.md with /product-implement
PDR Numbering Rules
- Scan
{REPO_ROOT}/.adlc/drafts/pdr/for existingPDR-*.mdfiles - Extract numeric suffix, find maximum
- Next PDR = max + 1, zero-padded to 3 digits
- Never reuse numbers
Key Rules
Exploration First
- Do NOT generate PRD directly from product description
- Engage in discussion to validate assumptions
- Surface trade-offs before committing to decisions
- Allow iteration — user can revisit earlier decisions
Constitution Compliance
- PDRs must align with constitution principles
- Flag conflicts between product requirements and constitution
- Constitution violations require explicit override with justification
Incremental PDRs
- Create focused PDRs — one decision per PDR
- Link related PDRs when decisions interact
- Defer decisions that can be made later
- Mark provisional decisions that may need revision
Configuration
PDR_DRAFTS_DIR—{REPO_ROOT}/.adlc/drafts/pdrPDR_INDEX—{REPO_ROOT}/.adlc/drafts/pdr/pdr.mdPRD_FILE—{REPO_ROOT}/docs/adlc/product/PRD.mdCONSTITUTION—{REPO_ROOT}/docs/adlc/memory/constitution.md(legacy.adlc/memory/constitution.mdfallback)
12-Factor Alignment
- Factor III (Mission Definition): Defines the product mission before execution
- Factor XI (Directives as Code): PDRs are version-controlled decision records
Common Rationalizations
| Rationalization | Reality |
|---|---|
| "Let's just write the PRD directly." | PRDs without PDRs lack traceable rationale. Decisions become undocumented assumptions. |
| "We already know what to build." | Even "obvious" decisions have alternatives. Documenting them prevents future reversal. |
| "Exploration takes too long." | A 10-minute discussion now prevents weeks of rework later. |
Red Flags
- Generating PRD before PDRs are accepted —
/product-implementrequires Accepted status; Proposed PDRs will be skipped. - Skipping the constitution check — misaligned decisions propagate into the PRD and become expensive to fix.
- No alternatives documented — a PDR without alternatives is a statement, not a decision.
Verification
- Setup script returns valid JSON with all paths
-
.adlc/drafts/pdr/directory exists - At least one
PDR-*.mdfile created with status "Proposed" -
pdr.mdindex auto-generated with correct table - Constitution alignment checked (if constitution exists)
- Cross-feature-area conflicts flagged
- No duplicate PDR IDs
- Each PDR has at least 2 alternatives documented
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/tikalk/adlc-team-skills/product-specify">View product-specify on skillZs</a>