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/prd-v07-epic-scoping

Transform v0.6 specifications into context-window-sized work packages (EPICs) during PRD v0.7 Build Execution. Triggers on requests to create epics, scope work, break down implementation, or when user asks "create epics", "scope work", "break down work", "context window sizing",

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prd-driven-context-engineering
193100 skills7 agents
Install
$ npx -y skills add mattgierhart/PRD-driven-context-engineering --skill prd-v07-epic-scoping --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/prd-v07-epic-scoping

Context preview

The summary Claude sees to decide when to auto-load this skill.

Transform v0.6 specifications into context-window-sized work packages (EPICs) during PRD v0.7 Build Execution. Triggers on requests to create epics, scope work, break down implementation, or when user asks "create epics", "scope work", "break down work", "context window sizing",

SKILL.md

prd-v07-epic-scoping.SKILL.md
name: prd-v07-epic-scoping
description: Transform v0.6 specifications into context-window-sized work packages (EPICs) during PRD v0.7 Build Execution. Triggers on requests to create epics, scope work, break down implementation, or when user asks "create epics", "scope work", "break down work", "context window sizing", "what to build first?", "implementation planning", "epic breakdown". Consumes API-, DBT-, FEA-, ARC-. Outputs EPIC- entries with objectives, ID references, dependencies, and context windows. Feeds v0.7 Test Planning.
context: fork
allowed-tools:
  - Read
  - Write
  - Edit
  - Glob
  - Grep
  - Bash

Epic Scoping

Position in workflow: v0.6 Technical Specification → **v0.7 Epic Scoping** → v0.7 Test Planning

Consumes

This skill requires prior work from v0.6 Technical Specification:

  • **API-\* endpoint contracts** (from v0.6 Technical Specification) — Endpoints define what must be built; API count signals complexity
  • **DBT-\* data model specifications** (from v0.6 Technical Specification) — Data entities and relationships inform natural boundaries
  • **ARC-\* architecture decisions** (from v0.6 Architecture Design) — System structure, module boundaries, and integration patterns define scoping boundaries
  • **FEA-\* feature entries with MVP-SCOPE** (from v0.3 Features Value Planning) — MVP boundary determines EPIC scope; post-MVP features defer to backlog
  • **Existing EPIC-\* entries** (if brownfield) — Inherited work packages constrain and sequence new EPICs

This skill assumes v0.6 Technical Specification is complete with API-/DBT- entries providing implementation contracts.

Produces

This skill creates/updates:

  • **EPIC-\* entries** (context-window-sized work packages, status-based) — Scope of work that fits in AI agent working memory with explicit dependencies, pre-load context budget, session state tracking, and acceptance criteria
  • **EPIC dependency graph** — Sequencing showing which EPICs must complete before others; identifies infrastructure/foundation EPICs, critical path EPICs, and optional/secondary EPICs
  • **Context capsule specification** — Pre-load checklist (SoT files, key IDs, code references) and working room estimate ensuring EPIC doesn't exceed 100k context tokens

All EPIC- entries are **work package specifications**, not confidence-based. They are:

  • **Sized for context windows** (3-5 APIs, 2-4 DBT tables, 1-2 UJs, <100k pre-load tokens)
  • **Fully traceable** (every EPIC references API-, DBT-, BR-, UJ-, TEST- from upstream)
  • **Sequenced explicitly** (dependencies form a DAG; no circular dependencies)
  • **Deliverable-focused** (measurable completion with acceptance criteria)

Example EPIC- entry (Auth Infrastructure):

EPIC-01: User Authentication
State: Planned
Lifecycle: v0.7 Build Execution
Branch: epic/EPIC-01-auth

## 0. Context Capsule
### Resource Envelope
| Dimension | Target | Notes |
|-----------|--------|-------|
| Pre-load Context | ~40k tokens | Auth SoT + API-001–005 specs + DBT-010/011 schema |
| Working Room | ~160k tokens | Plenty of space for implementation |
| Session Goal | Checkpoint C1 | Database schema complete |

### Dependencies
| Type | Items | Status |
|------|-------|--------|
| Requires | None | First EPIC — foundation |
| External | Supabase project created | Ready |
| Enables | EPIC-02 (reports), EPIC-03 (data sources) | Blocked until auth completes |

### Pre-load Checklist
- [ ] SoT/SoT.BUSINESS_RULES.md — IDs: BR-001, BR-002 (auth rules)
- [ ] SoT/SoT.API_CONTRACTS.md — IDs: API-001–005 (auth endpoints)
- [ ] SoT/SoT.TECHNICAL_DECISIONS.md — IDs: TECH-003 (Clerk), ARC-003 (JWT strategy)

## 2. Objective & Scope
Goal: Enable users to authenticate with email/password, manage sessions, and maintain security.

Deliverables:
  - [ ] User registration with email/password (API-001)
  - [ ] Login/logout functionality (API-002, API-003)
  - [ ] Session management with refresh tokens (API-004)
  - [ ] Password reset flow (API-005)
  - [ ] Users and sessions schema (DBT-010, DBT-011)

Out of Scope: Social auth (EPIC-02), team invites (EPIC-05), admin user management (EPIC-07)

## 3. Context & IDs
| Type | IDs |
|------|-----|
| Business Rules | BR-001 (email uniqueness), BR-002 (password requirements), BR-010 (auth workflow) |
| User Journeys | UJ-000 (onboarding), UJ-010 (login) |
| APIs | API-001 to API-005 |
| Data Models | DBT-010 (users), DBT-011 (sessions) |
| Architecture | ARC-003 (JWT strategy), TECH-003 (Clerk) |
| Features | FEA-010 (signup), FEA-011 (login) — both in MVP-SCOPE |
| Tests | TEST-001 to TEST-015 (auth test suite) |

## 4. Execution Plan (5 Phases)
[Phase structure from skill as is]

Related IDs: TECH-003, ARC-003, FEA-010/011, API-001–005, DBT-010/011, BR-001/002/010

Core Concept: Epic = Context Window

> An EPIC is not a "big user story." It is a **cognitive boundary**—a scope of work that fits in working memory (human or AI). The goal is to load exactly what's needed to complete a focused task without distraction.

**The question is not** "How long will this take?" but **"Can an agent complete this without needing more context than fits in a session?"**

Sizing Rules

| Size | Characteristics | Action | |------|-----------------|--------| | **Right-sized** | 3-5 API endpoints, 2-4 DBT tables, 1-2 UJ flows | Good fit ✓ | | **Too big** | >10 APIs, >5 tables, multiple unrelated features | Split by domain | | **Too small** | Single endpoint, no meaningful deliverable | Merge with related |

**Rule of thumb**: If you can't describe the EPIC's goal in one sentence, it's too big.

Context Budget Guidelines

EPICs are **context capsules** — work units sized for AI agent handoffs.

| Dimension | Target | Rationale | |-----------|--------|-----------| | **Pre-load context** | <100k tokens | SoT files + EPIC + code references | | **Working room** | >100k tokens | Space for tool outputs, debugging, iteration | | **Session goal** | 1 checkpoint | Clear "done" state per ses

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PRD-driven Context Engineering: A systematic approach to building AI-powered products using progressive documentation and context-aware development workflows

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