home / skills / levnikolaevich / claude-code-skills / ln-220-story-coordinator

ln-220-story-coordinator skill

/ln-220-story-coordinator

This skill coordinates epic story planning by creating or replanning 5-10 user stories, delegating to specialized workers and ensuring standards compliance.

npx playbooks add skill levnikolaevich/claude-code-skills --skill ln-220-story-coordinator

Review the files below or copy the command above to add this skill to your agents.

Files (3)
SKILL.md
21.7 KB
---
name: ln-220-story-coordinator
description: CREATE/REPLAN Stories for Epic (5-10 Stories). Delegates ln-001-standards-researcher for standards research. Decompose-First Pattern. Auto-discovers team/Epic.
---

> **Paths:** File paths (`shared/`, `references/`, `../ln-*`) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root.

# Story Coordinator

Universal Story management coordinator that delegates CREATE/REPLAN operations to specialized workers after building IDEAL Story plan.

## Purpose

Coordinates Story creation (CREATE), replanning (REPLAN), and appending (ADD) for a given Epic, producing 5-10 User Stories with standards research, Decompose-First Pattern, and delegation to ln-221/ln-222 workers.

## When to Use This Skill

Use when:
- Decompose Epic to User Stories (5-10 Stories covering Epic scope)
- Update existing Stories when Epic requirements change
- Rebalance Story scopes within Epic
- Add new Stories to existing Epic structure

## Core Pattern: Decompose-First

**Key principle:** Build IDEAL Story plan FIRST, THEN check existing Stories to determine mode:
- **No existing Stories** → CREATE MODE (delegate to ln-221-story-creator)
- **Has existing Stories** → REPLAN MODE (delegate to ln-222-story-replanner)

**Rationale:** Ensures consistent Story decomposition based on current Epic requirements, independent of existing Story structure (may be outdated).

## Story Numbering Convention

**MANDATORY READ:** Load `shared/references/numbering_conventions.md` for Story numbering rules (US001 sequential across Epics, no Story 0).

## Quality Criteria

**MANDATORY READ:** Load `shared/references/creation_quality_checklist.md` §Story Creation Checklist for validation criteria that ln-310 will enforce.

## Workflow

### Phase 1: Context Assembly

**Objective:** Gather context for Story planning (Epic details, planning questions, frontend context, fallback docs, user input)

**Step 1: Discovery (Automated)**

Auto-discovers from `docs/tasks/kanban_board.md`:

1. **Team ID:** Reads Linear Configuration table
2. **Epic:** Parses Epic number from request → Validates in Linear → Loads Epic description
   - **User format:** "Epic N" (Linear Project number, e.g., "Epic 7: OAuth Authentication")
   - **Query:** `get_project(query="Epic N")` → Fetch full Epic document
   - **Extract:** Goal, Scope In/Out, Success Criteria, Technical Notes (Standards Research if Epic created by ln-210 v7.0.0+)
   - **Note:** Epic N = Linear Project number (global), NOT initiative-internal index (Epic 0-N)
3. **Next Story Number:** Reads Epic Story Counters table → Gets next sequential number

**Step 2: Extract Planning Information (Automated)**

Parses Epic structure for Story planning questions:

| Question | Extraction Source |
|----------|-------------------|
| **Q1 - User/Persona** | Epic Goal ("Enable [persona]...") + Scope In (user roles) |
| **Q2 - What they want** | Epic Scope In (capabilities) + functional requirements |
| **Q3 - Why it matters** | Epic Success Criteria (metrics) + Goal (business value) |
| **Q4 - Which Epic** | Already from Step 1 |
| **Q5 - Main AC** | Derive from Epic Scope In features → testable scenarios |
| **Q6 - Application type** | Epic Technical Notes (UI/API mentioned) → Default: API |

**Step 3: Frontend Research (Optional)**

**Trigger:** If Q2 (capabilities) OR Q5 (AC) missing after Step 2

**Process:**
1. Scan HTML files: `Glob` `**/*.html`, `src/**/*.html`
2. Extract:
   - Forms → AC scenarios (e.g., `<form id="login">` → "Given valid credentials, When submit, Then login success")
   - Buttons/Actions → capabilities (e.g., `<button id="register">` → "User registration")
   - Validation rules → edge case AC (e.g., `minlength="8"` → "Given password <8 chars, Then error")
3. Combine with Epic context, deduplicate, prioritize Epic AC if conflict

**Fallback:** If no HTML → Skip to Step 4

**Step 4: Fallback Search Chain**

**Objective:** Fill missing Q1-Q6 BEFORE asking user.

For each question with no answer from Step 2-3:

| Question | Fallback Search |
|----------|-----------------|
| **Q1 (User/Persona)** | Search `requirements.md` for "User personas", "Actors" → Default "User" if not found |
| **Q3 (Why it matters)** | Search `requirements.md` for "Business objectives", "Goals" → Infer from Epic Success Criteria |
| **Q6 (Application type)** | Search `tech_stack.md` for "Frontend", "Backend", "API" → Default "API" |

**Skip:** Q2, Q5 (Epic + HTML are sources of truth), Q4 (already known)

**Step 5: User Input (Only if Missing)**

**If still missing after Step 2 + 3 + 4:**
- Show extracted: "From Epic: [Epic info]. From HTML: [HTML info]. From fallback: [fallback info]"
- Ask user to confirm or provide remaining missing details

**If all questions answered from Epic OR HTML OR fallback:** Skip user prompts, proceed to Phase 2

**Output:** Complete context (Epic details, next Story number, Q1-Q6 answers)

---

### Phase 2: Standards Research (Delegated)

**Objective:** Research industry standards/patterns BEFORE Story generation to ensure implementation follows best practices.

**Why:** Prevents outdated patterns or RFC violations (e.g., OAuth without PKCE).

**Process:**

1. **Parse Epic for domain keywords:** Extract domain from Epic goal/Scope In (authentication, rate limiting, payments)
2. **Delegate to ln-001-standards-researcher:**
   - Call `Skill(skill: "ln-001-standards-researcher", epic_description="[Epic full description]", story_domain="[domain]")`
   - Wait for Standards Research (Markdown string)
3. **Store:** Cache for Phase 5a/5b (workers insert in Story Technical Notes)

**Output:** Standards Research stored for ALL Stories in Epic

**Skip conditions:**
- Epic has NO standards in Technical Notes
- Story domain is trivial CRUD
- Epic says "research not needed"

**Time-box:** 15-20 minutes (handled by ln-001)

**Note:** Research done ONCE per Epic, results reused for all Stories (5-10 Stories benefit from single research)

---

### Phase 3: Planning

**Objective:** Build IDEAL Story plan, determine execution mode

**Story Grouping Guidelines:**

Each Story = ONE vertical slice of user capability (end-to-end: UI → API → Service → DB).

**✅ GOOD Story Grouping (1 Story = 1 user journey):**
- ✅ "User registration" (form → validation → API → database → email)
- ✅ "Password reset" (request link → verify token → set password → update DB)
- ✅ "Product search" (input → filter/sort → API → DB query → display)

**❌ BAD Story Grouping (horizontal slices):**
- ❌ "Create user table" (database only, no user value → Task, not Story)
- ❌ "User registration API endpoint" (API layer only, not vertical)
- ❌ "Registration UI form" (frontend only, not vertical)

**Rule:** 1 Story = 1 user capability (size limits per `creation_quality_checklist.md` #9)

**Database Creation Principle (Incremental Schema Evolution):**

Each Story creates ONLY the tables it needs (not all tables upfront).

**✅ GOOD (Incremental):**
- ✅ "User registration" → Creates Users table
- ✅ "Product search" → Creates Products table
- ✅ "Order checkout" → Creates Orders, Payments tables

**❌ BAD (Big-Bang):**
- ❌ "Setup database" → Creates all 50 tables (no user value, violates vertical slicing)
- ❌ "Database schema" → Creates Users, Products, Orders, Payments upfront

**Rationale:** Big-bang database setup violates incremental delivery. Each Story should deliver user value, not technical infrastructure.

**Build IDEAL Plan (Automated):**

1. **Analyze Epic Scope:** Review features in Epic Scope In, identify user capabilities
2. **Determine Story Count:**
   - Simple Epic (1-3 features): 3-5 Stories
   - Medium Epic (4-7 features): 6-8 Stories
   - Complex Epic (8+ features): 8-10 Stories
   - **Max 10 Stories per Epic**

3. **Story Size:** Limits per `creation_quality_checklist.md` #9. Outside range → split or merge.

**Each Story must pass these checks:**
- ✅ Delivers user value (not purely technical)
- ✅ Title describes user capability, not implementation action
- ✅ Crosses 3+ layers (vertical slice: UI → API → Service → DB)

4. **Build IDEAL Plan "in mind":**
   - Each Story: persona + capability + business value
   - Each Story: testable AC per checklist #4
   - Stories ordered by dependency (no forward deps per checklist #18)
   - Each Story: Test Strategy section exists but is **empty** (tests planned later by test planner)
   - Each Story: Technical Notes (architecture, integrations, **Standards Research from Phase 2**, guide links)
   - Each Story: `orchestratorBrief` for ln-1000 pipeline lead:
     ```
     orchestratorBrief: {
       tech: "<languages, frameworks, key libraries from Epic context>",
       keyFiles: "<2-5 files/dirs most affected>",
       approach: "<1-line implementation strategy>",
       complexity: "Low|Medium|High (<reason>)"
     }
     ```

5. **AC Quality Validation:** Rules per `creation_quality_checklist.md` #4. Workers (ln-221, ln-222) must validate.

**Examples:**
- ❌ BAD: "User can login" (only happy path, no error/edge cases)
- ✅ GOOD: AC1: login success + AC2: 401 invalid password + AC3: 403 locked
- ❌ BAD: "Login should be fast" (vague, not measurable)
- ✅ GOOD: "Then receive token <200ms" (specific, measurable)

**INVEST Score (0-6 per Story):**

| # | Criterion | Check | +1 if PASS |
|---|-----------|-------|------------|
| 1 | **Independent** | No forward dependencies (Story N uses only 1..N-1) | ✅ |
| 2 | **Negotiable** | AC focus on WHAT, not HOW (no library versions, no implementation details) | ✅ |
| 3 | **Valuable** | Clear "So that [business value]" — not purely technical | ✅ |
| 4 | **Estimable** | Size within checklist #9 range, known patterns | ✅ |
| 5 | **Small** | 3-5 AC, 6-20 hours, vertical slice | ✅ |
| 6 | **Testable** | AC measurable with Given/When/Then and specific values | ✅ |

**Gate:** Score ≥ 4 → proceed. Score < 4 → rework Story before creation.

**Examples:**
- ❌ Score 2/6: "Create user table" (fails Independent, Valuable, Small, Testable)
- ✅ Score 6/6: "User registration" with 4 GWT AC, 12h, full vertical slice

**Output:** IDEAL Story plan (5-10 Stories) with titles, statements, core AC, ordering

---

### Phase 4: Check Existing & Detect Mode

**Objective:** Determine execution mode based on existing Stories AND user intent

**Process:**

Query Linear for existing Stories in Epic:

```
list_issues(project=Epic.id, label="user-story")
```

**Mode Detection:**

1. **Analyze user request** for keywords:
   - ADD keywords: "add story", "one more story", "additional story", "append"
   - REPLAN keywords: "update plan", "revise", "requirements changed", "replan stories"

2. **Decision matrix:**

| Condition | Mode | Delegate To |
|-----------|------|-------------|
| Count = 0 | **CREATE** | Phase 5a: ln-221-story-creator |
| Count ≥ 1 AND ADD keywords | **ADD** | Phase 5c: ln-221-story-creator (appendMode) |
| Count ≥ 1 AND REPLAN keywords | **REPLAN** | Phase 5b: ln-222-story-replanner |
| Count ≥ 1 AND ambiguous | **ASK USER** | "Add new Story or revise the plan?" |

**Important:** Orchestrator loads metadata ONLY (ID, title, status). Workers load FULL descriptions (token efficiency).

**Output:** Execution mode determined + existingCount for workers

---

### Phase 5a: Delegate CREATE (No Existing Stories)

**Trigger:** Epic has no Stories yet (first decomposition)

**Delegation:**

Call ln-221-story-creator via Skill tool:

```javascript
Skill(
  skill: "ln-221-story-creator",
  epicData: {id, title, description},
  idealPlan: [ /* 5-10 Stories from Phase 3 */ ],
  standardsResearch: "Standards Research from Phase 2",
  teamId: "team-id",
  autoApprove: false  // or true for automation
)
```

**Worker handles:**
- Generate Story documents (8 sections, insert Standards Research)
- Validate INVEST criteria
- Show preview
- User confirmation (if autoApprove=false)
- Create in Linear (project=Epic, labels=user-story, state=Backlog)
- Update kanban_board.md (Epic Grouping Algorithm)

**Output:** Created Story URLs + summary from worker

---

### Phase 5b: Delegate REPLAN (Existing Stories Found)

**Trigger:** Epic already has Stories (requirements changed)

**Delegation:**

Call ln-222-story-replanner via Skill tool:

```javascript
Skill(
  skill: "ln-222-story-replanner",
  epicData: {id, title, description},
  idealPlan: [ /* 5-10 Stories from Phase 3 */ ],
  standardsResearch: "Standards Research from Phase 2",
  existingCount: N,
  teamId: "team-id",
  autoApprove: false  // or true for automation
)
```

**Worker handles:**
- Load existing Stories (Progressive Loading: ONE BY ONE for token efficiency)
- Compare IDEAL vs existing (KEEP/UPDATE/OBSOLETE/CREATE operations)
- Show replan summary with diffs (AC, Standards Research, Technical Notes)
- User confirmation (if autoApprove=false)
- Execute operations (respecting status constraints: Backlog/Todo only, warnings for In Progress/Review/Done)
- Update kanban_board.md (add NEW Stories only via Epic Grouping Algorithm)

**Output:** Operation results + warnings + affected Story URLs from worker

---

### Phase 5c: Delegate ADD (Append to Existing Stories)

**Trigger:** Epic has Stories, user wants to ADD more (not replan existing)

**Delegation:**

Call ln-221-story-creator via Skill tool with appendMode:

```javascript
Skill(
  skill: "ln-221-story-creator",
  appendMode: true,  // ADD to existing, don't replace
  epicData: {id, title, description},
  newStoryDescription: userRequestedStory,  // Single Story from user request
  standardsResearch: "Standards Research from Phase 2",
  teamId: "team-id",
  autoApprove: false
)
```

**Key differences from CREATE MODE:**
- `appendMode: true` → Skip full IDEAL plan, create only requested Story
- `newStoryDescription` → User's specific request (e.g., "add authorization Story")
- Does NOT require Phase 3 IDEAL plan for all Stories
- Preserves existing Stories without comparison

**Worker handles:**
- Research standards for NEW Story only
- Generate Story document (8 sections)
- Validate INVEST criteria
- Create in Linear (append to existing)
- Update kanban_board.md

**Output:** Created Story URL + summary from worker

---

### Phase 6: Commit

After worker completes (any mode: CREATE/REPLAN/ADD):

1. `git add docs/tasks/kanban_board.md` (updated by worker)
2. `git commit -m "ln-220: {MODE} Stories for Epic {N}"`
   - CREATE: `"ln-220: create Stories US{first}-US{last} for Epic {N}"`
   - REPLAN: `"ln-220: replan Stories for Epic {N}"`
   - ADD: `"ln-220: add Story US{num} to Epic {N}"`

**TodoWrite format (mandatory):**
Add phases to todos before starting:
```
- Phase 1: Context Assembly (in_progress)
- Phase 2: Standards Research via ln-221 (pending)
- Phase 3: Build IDEAL Story Plan (pending)
- Phase 4: Check Existing Stories (pending)
- Phase 5: Delegate to ln-221/ln-222 (pending)
- Wait for worker result (pending)
- Phase 6: Commit kanban changes (pending)
```
Mark each as in_progress when starting, completed when done.

---

---

## Critical Rules

- **Decompose-First:** Build IDEAL Story plan before checking existing Stories (prevents anchoring to suboptimal structure)
- **Vertical slicing only:** Each Story = one user journey end-to-end (UI -> API -> Service -> DB); no horizontal/technical-only Stories
- **Standards research before generation:** Phase 2 (ln-001) must complete before Story documents are created; results go into all Story Technical Notes
- **Orchestrator loads metadata only:** ID, title, status (~50 tokens per Story); workers load full descriptions (~5,000 tokens) when needed
- **Test Strategy section left empty:** Tests are planned later by test planner, not at Story creation time

---

## Integration with Ecosystem

**Calls:**
- **ln-001-standards-researcher** (Phase 2) - research standards/patterns for Epic
- **ln-221-story-creator** (Phase 5a, 5c) - CREATE and ADD worker
- **ln-222-story-replanner** (Phase 5b) - REPLAN worker

**Called by:**
- **ln-200-scope-decomposer** (Phase 3) - automated full decomposition (scope → Epics → Stories)
- **Manual** - user invokes for Epic Story creation/replanning

**Upstream:**
- **ln-210-epic-coordinator** - creates Epics (prerequisite for Story creation)

**Downstream:**
- **ln-300-task-coordinator** - creates implementation tasks for each Story
- **ln-310-story-validator** - validates Story structure/content
- **ln-400-story-executor** - orchestrates task execution for Story

---

## Definition of Done

**✅ Phase 1: Context Assembly Complete:**
- [ ] Team ID, Epic number, Next Story Number loaded from kanban_board.md
- [ ] Q1-Q6 extracted from Epic (Step 2)
- [ ] Frontend Research attempted if Q2/Q5 missing (Step 3)
- [ ] Fallback Search attempted for missing info (Step 4)
- [ ] User input requested if still missing (Step 5)
- [ ] Complete Story planning context assembled

**✅ Phase 2: Standards Research Complete:**
- [ ] Epic parsed for domain keywords
- [ ] ln-001-standards-researcher invoked with Epic description + Story domain
- [ ] Standards Research cached for workers
- [ ] OR Phase 2 skipped (trivial CRUD, no standards, explicit skip)

**✅ Phase 3: Planning Complete:**
- [ ] Epic Scope analyzed
- [ ] Optimal Story count determined (5-10 Stories)
- [ ] IDEAL Story plan created (titles, statements, core AC, ordering)
- [ ] Story Grouping Guidelines validated (vertical slicing)
- [ ] INVEST checklist validated for all Stories

**✅ Phase 4: Check Existing Complete:**
- [ ] Queried Linear for existing Stories (count only)
- [ ] Execution mode determined (CREATE or REPLAN)

**✅ Phase 5: Delegation Complete:**
- [ ] Called ln-221-story-creator (Phase 5a) OR ln-222-story-replanner (Phase 5b) via Skill tool
- [ ] Passed epicData, idealPlan, standardsResearch, teamId, autoApprove
- [ ] Received output from worker (Story URLs + summary + next steps)

**✅ Phase 6: Commit Complete:**
- [ ] Kanban board changes committed with descriptive message

---

## Example Usage

**CREATE MODE (First Time):**
```
"Create stories for Epic 7: OAuth Authentication"
```

**Process:**
1. Phase 1: Context Assembly → Discovery (Team "API", Epic 7, US004), Extract (Persona: API client, Value: secure API access), Frontend Research (HTML login/register forms → AC), Fallback Search (requirements.md for personas)
2. Phase 2: Standards Research → Epic mentions "OAuth 2.0", delegate ln-001 → Standards Research with RFC 6749, patterns
3. Phase 3: Planning → Build IDEAL (5 Stories: "Register client", "Request token", "Validate token", "Refresh token", "Revoke token")
4. Phase 4: Check Existing → Count = 0 → CREATE MODE
5. Phase 5a: Delegate CREATE → Call ln-221-story-creator → US004-US008 created with Standards Research

**REPLAN MODE (Requirements Changed):**
```
"Replan stories for Epic 7 - removed custom token formats, added scope management"
```

**Process:**
1. Phase 1: Context Assembly → Discovery (Team "API", Epic 7, has US004-US008), Extract (Removed custom formats, added scopes)
2. Phase 2: Standards Research → Epic mentions "OAuth 2.0 scopes", delegate ln-001 → Updated Standards Research with RFC 6749 Section 3.3
3. Phase 3: Planning → Build IDEAL (5 Stories: "Register client", "Request token", "Validate token", "Refresh token", "Manage scopes")
4. Phase 4: Check Existing → Count = 5 → REPLAN MODE
5. Phase 5b: Delegate REPLAN → Call ln-222-story-replanner → KEEP 4, UPDATE Technical Notes (scope research), OBSOLETE US008, CREATE US009

---

## Reference Files

- **[MANDATORY] Problem-solving approach:** `shared/references/problem_solving.md`
- **Orchestrator lifecycle:** `shared/references/orchestrator_pattern.md`
- **Auto-discovery patterns:** `shared/references/auto_discovery_pattern.md`
- **Decompose-first pattern:** `shared/references/decompose_first_pattern.md`
- **Numbering conventions:** `shared/references/numbering_conventions.md` (Story sequential across Epics)

---

## Best Practices

**Story Content:**
- **Research-First:** Always perform Phase 2 research (standards/patterns) before Story generation
  - **Story level:** STANDARDS/PATTERNS (OAuth RFC 6749, middleware pattern)
  - **Task level:** LIBRARIES (authlib vs oauthlib) - delegated by ln-300
- **Business-oriented Stories:** Each Story = USER JOURNEY (what user does, what they get), NOT technical tasks
  - ✅ GOOD: "As API client, I want to refresh expired token, so that I maintain session without re-authentication"
  - ❌ BAD: "Create token refresh endpoint in API" (Task, not Story)
- **Vertical Slicing:** Each Story delivers end-to-end functionality (UI → API → Service → DB)
- **One capability per Story:** Clear, focused persona + capability + value
- **Testable AC:** Given-When-Then, 3-5 AC, specific criteria ("<200ms" not "fast")
- **Test Strategy:** Section exists but is **empty** at Story creation (tests planned later by test planner)
- **Standards Research:** Include Phase 2 research in ALL Story Technical Notes

**Story Decomposition:**
- **Decompose-First:** Build IDEAL plan before checking existing - prevents anchoring to suboptimal structure
- **INVEST validation:** Validate every Story against INVEST criteria
- **Size enforcement:** 3-5 AC, 6-20 hours
- **Avoid over-decomposition:** <3 AC, <6 hours → Merge Stories

**User Interaction:**
- **Epic extraction:** Try to extract all planning info from Epic in Phase 1 Step 2 before asking user
- **Frontend Research:** HTML forms/validation → AC scenarios (Phase 1 Step 3)
- **Fallback search:** requirements.md, tech_stack.md if Epic incomplete (Phase 1 Step 4)
- **Only ask user for missing info** after Epic extraction AND frontend AND fallback search fail

**Delegation:**
- **Orchestrator loads metadata only:** ID, title, status (~50 tokens per Story)
- **Workers load full descriptions:** 8 sections (~5,000 tokens per Story)
- **Token efficiency:** 10 Stories × 50 tokens = 500 tokens (orchestrator) vs 10 Stories × 5,000 tokens = 50,000 tokens (workers load when needed)

---

**Version:** 5.0.0
**Last Updated:** 2026-02-03

Overview

This skill coordinates creation, replanning, and appending of 5–10 user stories for a given Epic using a Decompose-First pattern. It auto-discovers Epic and team context, delegates standards research, builds an IDEAL story plan, then routes work to specialized creators or reproducers. The output is validated, INVEST-scored stories ready to create or update in Linear.

How this skill works

The skill auto-discovers Epic details and next story number, extracts planning questions (persona, capabilities, ACs, app type), and optionally scans HTML for UI cues. It delegates standards research to a dedicated researcher once per Epic. It then constructs an IDEAL 5–10 story plan, detects mode (CREATE, REPLAN, ADD) by checking existing stories and user intent, and delegates to specialized workers to execute creation or replan operations.

When to use it

  • Decompose an Epic into 5–10 vertical user stories with clear ACs and technical notes
  • Replan story set when requirements change or scope is rebalanced
  • Append one or more new stories to an existing Epic without replacing current work
  • Ensure stories follow standards and INVEST quality before creation
  • Auto-discover team and Epic context to reduce manual setup

Best practices

  • Run standards research once per Epic and reuse results across all stories
  • Build the IDEAL plan first, then compare to existing stories (Decompose-First)
  • Keep stories vertical (UI→API→Service→DB) and limit to user value, not infra-only tasks
  • Enforce INVEST and checklist rules; gate stories scoring <4 for rework
  • Prefer incremental schema changes: each story creates only the tables it needs

Example use cases

  • First decomposition of a new Epic (CREATE) to produce 6 user stories with technical notes
  • Epic requirements changed; replan existing backlog to match new success criteria (REPLAN)
  • Add an authorization story to an Epic that already has stories (ADD/appendMode)
  • Auto-extract acceptance criteria from HTML forms when Epic lacks detailed ACs
  • Generate orchestrator brief and key-file hints for pipeline leads and implementers

FAQ

How does it decide CREATE vs REPLAN vs ADD?

It checks Linear for existing stories and analyzes user intent keywords. Zero stories → CREATE. Existing stories + replan keywords → REPLAN. Existing stories + add keywords → ADD. If ambiguous, it prompts the user.

When is standards research performed?

Standards research runs once per Epic before story generation, delegated to a standards researcher, and its results are embedded into each story's technical notes.