prd-to-engineering-spec

name	prd-to-engineering-spec
description	Transform PRD (Product Requirements Document) into actionable engineering specifications. Creates detailed technical specs that developers can implement step-by-step without ambiguity. Covers data modeling, API design, business logic, security architecture, deployment, and agent system design. Use when: converting product requirements to technical specs, validating PRD completeness, planning technical implementation, creating task breakdowns, or defining test specifications. Triggers: 'PRD to spec', 'convert requirements', 'technical spec from PRD', 'engineering doc from requirements', 'validate PRD'.
license	MIT
version	0.1.2
compatibility	Requires bash for validation scripts. No external dependencies.
metadata	{"author":"肆〇柒/ForOhZen","version":"0.1.1","category":"engineering","tags":"specification, prd, requirements, technical-design, planning, agent"}

PRD to Engineering Spec

Overview

Transform product requirements into engineering specifications so complete that developers can implement the entire system step-by-step without ambiguity, and the resulting system can be replicated or migrated without information loss.

Skill Workflow Context

┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐
│ prd-writing-    │────►│ prd-to-         │     │ reverse-        │
│ guide           │     │ engineering-    │     │ engineering-    │
│ Write PRD       │     │ spec            │     │ spec            │
│                 │     │ [THIS SKILL]   │     │ Code→Spec       │
└─────────────────┘     └─────────────────┘     └─────────────────┘
         │
         ▼  For AI Agent products:
┌─────────────────┐
│ ai-agent-prd    │────► This skill handles Agent PRD conversion too
└─────────────────┘

Input: Complete PRD (from prd-writing-guide or ai-agent-prd) Output: Engineering specifications at replicability-grade detail

Core Principle: Validate PRD first, design second. Incomplete requirements → incomplete specs.

Quick Start

1. Validate PRD against prd-validation-checklist.md
2. For Agent systems, also validate with agent-system-spec.md
3. Generate defect report; do NOT proceed until all ❌ resolved
4. Run bash scripts/generate_spec_skeleton.sh
5. Apply the Engineering Lenses to every component
6. Fill specs using spec-templates.md
7. Validate with bash scripts/validate_spec.sh

---

The Engineering Lenses

Apply these seven lenses to every component during Phases 2-3. They are the engineering equivalent of prd-writing-guide's Seven Lenses.

┌──────────────────────────────────────────────────────────────────┐
│                    The Engineering Lenses                         │
├──────────────────────────────────────────────────────────────────┤
│                                                                  │
│  1. ARCHITECTURE  How does it fit? Layers, modules, comms.       │
│  2. DATA          How modeled, validated, stored, migrated?      │
│  3. CONTRACT      Interfaces? Versioning? What breaks?           │
│  4. FAILURE       How does it fail? Detect, recover, cascade?    │
│  5. SECURITY      Auth, authz, encryption, audit, secrets?       │
│  6. OPERATIONS    Deploy, configure, monitor, scale, rollback?   │
│  7. REPLICABILITY All configs, deps, assumptions documented?     │
│                                                                  │
└──────────────────────────────────────────────────────────────────┘

For every major component (service, module, API, data store, integration):

Lens	Key Question	Spec Output
Architecture	Where does it sit? What depends on it?	Module diagram, dependency graph
Data	What data does it own? Shape? Consistency?	Entity definitions, schemas
Contract	What's the interface? What can't change?	API specs, event schemas
Failure	What can go wrong? What then?	Error catalog, retry policies
Security	Who accesses? How protected?	Auth rules, encryption spec
Operations	How deployed and observed?	Config, metrics, alerts
Replicability	Any implicit knowledge not captured?	Env setup, all dependencies

---

Workflow

Phase 0: PRD Validation ──────► Defect Report ──────► PRD Complete
         ↓
Phase 1: Decomposition ──► User Stories, Requirements Matrix
         ↓
Phase 2: Technical Design (Interactive) ──► Decision Log
         ↓
Phase 3: Detailed Specs ──► Engineering Lenses on every component
         ↓
Phase 4: Test Specs ──► Unit, Integration, E2E, Acceptance
         ↓
Phase 5: Task Breakdown ──► Tasks, Milestones, Risks
         ↓
Phase 6: Assembly & Replicability Review

---

Phase 0: PRD Validation

Goal: Ensure PRD completeness before technical work begins.

1. Review against prd-validation-checklist.md
2. Agent systems: Also validate against agent-system-spec.md §PRD Validation
3. Mark: ✅ Present | ⚠️ Unclear | ❌ Missing
4. Do NOT proceed until all ❌ resolved

Defect Report Template

# PRD Validation Report
**PRD:** [title] | **Status:** [PASS / NEEDS REVISION]

## Critical Gaps (Must Fix)
| # | Category | Issue | Impact | Resolution |
|---|----------|-------|--------|------------|

## Warnings (Should Clarify)
## Assumptions (Document explicitly with risk-if-wrong)

---

Phase 1: Requirements Decomposition

Goal: Break PRD into structured, implementable requirements.

User Story Format

## US-001: [Title]
**Priority:** P0/P1/P2
As a [role], I want [action], so that [benefit].
**Acceptance Criteria:** (Given/When/Then)
**Business Rules:** BR-001, BR-002
**Dependencies:** US-002

Requirements Matrix

ID	Requirement	Source	Type	Priority
FR-001	[description]	US-001	CRUD/Logic	P0
NFR-001	API response <200ms P95	PRD §7	Performance	P0

---

Phase 2: Technical Design (Interactive)

Goal: Make architectural decisions with explicit user confirmation.

Decision Process

For each significant decision:

1. Present 2-3 options with pros, cons, effort, risk, and operational cost
2. Recommend with rationale
3. Wait for user confirmation
4. Record in Decision Log

Decision Log

ID	Decision	Options	Chosen	Rationale	Trade-offs	Date
D-001	Database	PG, Mongo	PostgreSQL	ACID, JSON support	Higher ops complexity	[date]

Tech Stack

Component	Choice	Version	Rationale	Alternatives
Language
Framework
Database
Cache
Queue
Infra

---

Phase 3: Detailed Specification

Goal: Specs detailed enough for implementation without questions. Apply Engineering Lenses to every component.

Templates: spec-templates.md, feature-spec-template.md

3.1 Data Model

Per entity: purpose, all fields (type, nullable, default, constraints, description), indexes with rationale, relationships with cascade rules, validation rules, lifecycle (create/update/delete behavior).

3.2 API Specification

Per endpoint: method + path, auth/authz, request (params, body, validation rules), response (structure, all status codes with conditions), business logic steps, side effects, rate limits, idempotency.

3.3 Business Logic

Per complex rule: interface (inputs/outputs/errors), algorithm in pseudocode, decision table for branching, concrete edge case examples, transaction boundaries, rollback behavior.

3.4 Security Architecture ⭐

See security-spec-guide.md. Specify:

Area	Must Document
Authentication	Protocol (OAuth2/JWT/session), token lifecycle, refresh flow, MFA
Authorization	Permission model (RBAC/ABAC), role-permission matrix, enforcement points
Data Security	Classification levels, encryption (at-rest, in-transit), PII handling
Input Security	Validation strategy, injection prevention, file upload rules
Audit	Events to log, format, retention period, tamper protection
Secrets	Storage method, rotation policy, access control

3.5 Operations & Deployment ⭐

See operations-spec.md. Specify:

Area	Must Document
Environments	Dev, staging, prod differences; how to provision
Deployment	CI/CD pipeline, container spec, rollout strategy
Configuration	Every env var / config param with type, default, description, allowed values
Monitoring	Key metrics, alert thresholds, dashboard definitions
Logging	Format, levels, correlation IDs, PII redaction
Scaling	Triggers, resource limits, auto-scale rules
Recovery	Backup schedule, RTO/RPO, failover procedure, data restore process

3.6 AI/Agent Components

For AI features: ai-feature-spec.md For Agent systems: agent-system-spec.md, covering:

• Agent orchestration (reasoning loop, tool dispatch, state management)
• System prompt as versioned artifact (with testing strategy)
• Skills/Tools registration and dispatch mechanism
• Memory system (working, session, long-term storage design)
• RAG pipeline (embedding → chunking → indexing → retrieval → reranking)
• Evaluation infrastructure and continuous feedback loops
• Cost model per interaction

3.7 Migration & Compatibility

If replacing existing system. See spec-templates.md §Migration:

• Data migration strategy (ETL pipeline, validation steps, rollback)
• API backward compatibility (versioning scheme, deprecation timeline)
• Feature parity matrix (old → new mapping, intentional gaps)
• Cutover plan (strategy, rollback trigger, coexistence period)

---

Phase 4: Test Specification

Goal: Tests that verify all requirements are met.

Traceability Matrix

Requirement	Unit	Integration	E2E	Acceptance	Performance	Security
FR-001	UT-001	IT-001	E2E-001	AT-001	-	-
NFR-001	-	-	-	-	PERF-001	-

Test Types

Unit: Per function—happy path, validation, edge cases, error handling. Integration: Module interactions—API contracts, DB operations, external services. E2E: Complete user journeys—critical paths with variations. Acceptance: Given/When/Then—maps to acceptance criteria. Performance: Load/stress under specified conditions—verify NFRs. Security: Auth bypass, injection, permission escalation—verify security spec.

Templates in spec-templates.md.

---

Phase 5: Task Breakdown

Task Template

## TASK-001: [Title]
**Implements:** FR-001, US-001 | **Estimate:** 4h
**Description:** [what to do]
**Done Criteria:** [how to verify]
**Dependencies:** TASK-000 | **Blocks:** TASK-002

Milestones

Milestone	Tasks	Target	Deliverable	Verification
M1: Data	001-003	[date]	Schema + migrations	Runs clean
M2: API	004-008	[date]	Endpoints + tests	Integration tests pass
M3: Security	009-011	[date]	Auth + audit	Security review pass
M4: Deploy	012-014	[date]	CI/CD + monitoring	Health checks green

Risk Register

Risk	Prob	Impact	Mitigation	Contingency
[risk]	H/M/L	H/M/L	[prevent]	[if happens]

---

Phase 6: Assembly & Replicability Review ⭐

Cross-Reference Check

• Every user story → functional requirement(s)
• Every requirement → technical spec section(s)
• Every spec → test case(s)
• Every test → traces back to requirement
• All external dependencies documented with versions

Replicability Verification

The bar: Could a competent team rebuild this system from the spec alone?

• Environment: All dependencies listed with pinned versions. Build + run commands.
• Configuration: Every env var, feature flag, config param documented (type, default, range).
• Data: Schema definitions, seed data specs, migration scripts referenced.
• Infrastructure: Deploy architecture, container specs, resource requirements.
• Integrations: Every external dep has connection details, auth, failure handling.
• Business Logic: No implicit knowledge—every "obvious" rule written down.
• Security: Auth flow, permissions, encryption, secrets handling fully specified.
• Monitoring: Metrics, alerts, dashboards defined—operable from day one.
• No TODOs/TBDs: Every placeholder resolved.

Run: bash scripts/validate_spec.sh <spec_root>

---

Output Structure

engineering-spec/
├── 00_Overview/
│   ├── SUMMARY.md, REQUIREMENTS_MATRIX.md, DECISION_LOG.md, TECH_STACK.md
├── 01_Requirements/
│   ├── USER_STORIES.md, FUNCTIONAL_REQS.md, NON_FUNCTIONAL_REQS.md
├── 02_Technical_Design/
│   ├── ARCHITECTURE.md, DATA_MODEL.md, API_SPEC.md
│   ├── BUSINESS_LOGIC.md, AI_COMPONENTS.md (if applicable)
├── 03_Security/
│   ├── AUTH_DESIGN.md, DATA_SECURITY.md, AUDIT_SPEC.md
├── 04_Operations/
│   ├── DEPLOYMENT.md, CONFIGURATION.md, MONITORING.md, RUNBOOK.md
├── 05_Testing/
│   ├── TEST_PLAN.md, ACCEPTANCE_TESTS.md
├── 06_Implementation/
│   ├── TASK_BREAKDOWN.md, MILESTONES.md, RISKS.md, MIGRATION.md
└── SPEC_INDEX.md

---

Resources

• scripts/generate_spec_skeleton.sh - Create output structure
• scripts/validate_spec.sh - Validate spec completeness
• references/prd-validation-checklist.md - PRD validation checklist
• references/spec-templates.md - Specification templates
• references/feature-spec-template.md - Feature spec template
• references/ai-feature-spec.md - AI feature specification
• references/agent-system-spec.md - Agent system engineering spec ⭐
• references/security-spec-guide.md - Security architecture spec ⭐
• references/operations-spec.md - Operations & deployment spec ⭐
• references/worked-example.md - End-to-end worked example (HelpBot PRD→Spec) ⭐

---

Critical Reminders

1. Validate PRD first — Incomplete requirements = incomplete specs
2. Apply Engineering Lenses — Every component through all 7 lenses
3. Confirm decisions — Document rationale, not just choices
4. Trace everything — Requirement → Spec → Test → Requirement
5. Security is architecture — Not a checkbox; design it explicitly
6. Operations from day one — Deploy/monitor/debug specs are not optional
7. Replicability is the bar — If it can't be rebuilt from the spec, it's incomplete