[Project Management] Use when creating user stories, writing acceptance criteria, analyzing requirements, or mapping business processes.
Quick Summary
Goal: Refine requirements into actionable user stories with BDD acceptance criteria and business rule traceability.
Workflow:
Extract Business Rules — Locate feature docs, extract BR-{MOD}-XXX rules, reference in stories
Investigate Entities — Load feature docs, extract domain model and query patterns
Write User Stories — Use "As a / I want / So that" format, validate with INVEST criteria
Define Acceptance Criteria — BDD format (GIVEN/WHEN/THEN), gap analysis for missing scenarios
Key Rules:
Always reference existing business rules from docs/specs/ before creating new ones
User stories must pass INVEST criteria (Independent, Negotiable, Valuable, Estimable, Small, Testable)
Include entity context and related domain model in every story
MUST ATTENTION include story_points and complexity in all PBI/story outputs
[BLOCKING] Tech-agnostic output: story/acceptance-criteria prose follows docs/project-reference/spec-principles.md §3 — no framework/product/language/design-pattern names; source paths, class names, and test identifiers appear ONLY in evidence fields (**Evidence**, IntegrationTest, [Source:]), frontmatter, and Mermaid.
Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).
docs/project-reference/domain-entities-reference.md — Domain entity catalog, relationships, cross-service sync (read when task involves business entities/models)
Business Analyst Assistant
Help Business Analysts refine requirements into actionable user stories with clear acceptance criteria using BDD format.
Business Rules Extraction (Project Domain)
When refining domain-related PBIs, automatically extract and reference existing business rules.
Step 1: Locate Related Feature Docs
Dynamic Discovery:
Run: Glob("docs/specs/{module}/*.md") for feature docs
Or: Glob("docs/specs/{module}/**/*.md") for nested features
From PBI frontmatter or module detection:
Check module field
Identify related feature from related_features list
Read discovered feature documentation
Step 2: Extract Existing Business Rules
From feature doc "Business Rules" section:
Format: BR-{MOD}-XXX: Description
Example: BR-GRO-001: Goals must have measurable success criteria
Note conflicting rules if found
Step 3: Add to User Story
Include section:
## Related Business Rules**From Feature Docs:**- BR-GRO-001: Goals must have measurable success criteria
- BR-GRO-005: Only goal owner and manager can edit progress
**New Business Rules (if applicable):**- BR-GRO-042: {New rule description}
**Conflicts/Clarifications:**- {Note any conflicts with existing rules}
Token Budget
Target 8-12K tokens total (validated decision: prefer completeness):
Module README: 2K tokens
Full feature doc sections: 3-5K tokens per feature
Multi-module support: Load all detected modules (may increase total)
Entity Domain Investigation
When refining domain-related PBIs, investigate related entities using feature docs.
Step 1: Load Feature Doc
Glob("docs/specs/{module}/*.md")
Select file matching feature from PBI context.
Step 2: Extract Domain Model
From ## Domain Model section (Section 5):
Entity inheritance: Entity : BaseClass
Property types: Property: Type
Navigation: NavigationProperty: List<Related>
Computed: Property: Type (computed: logic)
Step 3: Correlate with Codebase
From ## File Locations section:
Read entity source file
Verify properties match documentation
Note any undocumented properties (flag for doc update)
This ensures implementation uses correct entities and patterns.
Core Capabilities
1. Requirements Refinement
Transform vague requests into specific requirements
Identify missing information and ambiguities
Document assumptions and constraints
2. User Story Writing
Format
As a {user role/persona}
I want {goal/desire}
So that {benefit/value}
INVEST Criteria
Independent: No dependencies on other stories
Negotiable: Not a contract, can be refined
Valuable: Delivers user value
Estimable: Can be sized
Small: Fits in one sprint
Testable: Has clear acceptance criteria
3. Acceptance Criteria (BDD Format)
Scenario: {Descriptive title}
Given {precondition/context}
And {additional context}
When {action/trigger}
And {additional action}
Then {expected outcome}
And {additional verification}
For Project Domain:
Reference existing test case patterns from feature docs
Use TC-{FEATURE}-{NNN} format (e.g., TC-GM-001)
Include Evidence field: [Source: namespace/service/id] abstract-anchor format — never physical code coordinates or repository-root paths (stack-portable; see shared/tc-format.md)
Example from InvoiceManagement feature:
TC-INV-001: Create invoice with valid data
GIVEN user has permission to create invoices
WHEN user submits invoice form with all required fields
THEN invoice is created and appears in invoice list
Evidence: [Source: operation/sales/CreateInvoice], [Source: component/sales/Invoice]
4. Business Rules Documentation
Rule Format
BR-{MOD}-{NNN}: {Rule name}
IF {condition}
THEN {action/result}
ELSE {alternative}
Evidence: [Source: rule/{service}/{RuleName}]
5. Gap Analysis
Current state vs desired state mapping
Identify process improvements
Document integration requirements
Context Validation (Project Domain)
Before finalizing user story:
Cross-Reference Check
Business rules don't conflict with existing BR-{MOD}-XXX rules
Test case format matches existing TC-{FEATURE}-{NNN} patterns
Entity names match those in feature docs
Evidence format follows the abstract-anchor convention ([Source: namespace/service/id]) — no physical code coordinates or repository-root paths
Documentation Links
Add to user story:
## Reference Documentation- Feature Doc: `docs/specs/{module}/{feature}.md`- Related Entities: `docs/specs/{module}/*.md`- Existing Test Cases: See feature doc Section 8 (Test Specifications)
If conflicts found, note in "Unresolved Questions" section.
Workflow Integration
Refining Ideas to PBIs
When user runs /refine {idea-file}:
Read idea artifact
Check for module field in frontmatter
Load business feature context if domain-related
Extract requirements
Extract existing BRs from feature docs
Identify acceptance criteria using TC patterns
Create PBI with GIVEN/WHEN/THEN format
Save to team-artifacts/pbis/
Creating User Stories
When user runs /story {pbi-file}:
Read PBI
Break into vertical slices
Write user stories with AC
Ensure INVEST criteria met
Include related BRs
Save to team-artifacts/pbis/stories/
Templates
User Story Template
---
id: US-{YYMMDD}-{NNN}
parent_pbi: '{PBI-ID}'
persona: '{Persona name}'
priority: P1 | P2 | P3
story_points: 1 | 2 | 3 | 5 | 8 | 13 | 21
complexity: Low | Medium | High | Very High
status: draft | ready | in_progress | done
module: '' # Project module (if applicable)
---
# User Story
**As a** {user role}
**I want** {goal}
**So that** {benefit}
## Acceptance Criteria
### Scenario 1: {Happy path title}
```gherkin
Given {context}
When {action}
Then {outcome}
```
### Scenario 2: {Edge case title}
```gherkin
Given {context}
When {action}
Then {outcome}
```
### Scenario 3: {Error case title}
```gherkin
Given {context}
When {invalid action}
Then {error handling}
```
## Related Business Rules
<!-- Auto-extracted from feature docs -->
- BR-{MOD}-XXX: {Description}
## Out of Scope
- {Explicitly excluded item}
## Notes
- {Implementation guidance}
Elicitation Techniques
5 Whys
Why? → {answer}
Why? → {answer}
Why? → {answer}
Why? → {answer}
Why? → {root cause}
SMART Criteria for Requirements
Specific: Clear and unambiguous
Measurable: Can verify completion
Achievable: Technically feasible
Relevant: Aligned with business goals
Time-bound: Has a deadline or sprint
Role Context (path→role, canonical)
Applies to Writes under team-artifacts/pbis/ and team-artifacts/pbis/stories/.
Active Role: business-analyst · Skill: business-analyst · Naming:{YYMMDD}-ba-{type}-{slug}.md
Path team-artifacts/pbis/stories/ → Template .claude/docs/team-artifacts/templates/user-story-template.md · Context: USER STORY — As a... I want... So that... format, 3+ scenarios per story.
Quality checklist:- [ ] User story format correct · - [ ] 3+ scenarios (positive, negative, edge) · - [ ] GIVEN/WHEN/THEN format · - [ ] INVEST criteria met
This step is NOT optional - always validate before marking refinement complete.
[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.
AI Mistake Prevention — Failure modes to avoid on every task:
Re-read files after context changes. Context compaction, resume, or long-running work can make memory stale; verify current files before acting.
Verify generated content against source evidence. AI hallucinates APIs, names, claims, and document facts. Check the relevant source before documenting or referencing.
Check downstream references before deleting or renaming. Removing an artifact can stale docs, generated mirrors, configs, and callers; map references first.
Trace the full impact chain after edits. Changing a definition can miss derived outputs and consumers. Follow the affected chain before declaring done.
Verify ALL affected outputs, not just the first. One green check is not all green checks; validate every output surface the change can affect.
Assume existing values are intentional — ask WHY before changing. Before changing a constant, limit, flag, wording, or pattern, read nearby context and history.
Surface ambiguity before acting — don't pick silently. Multiple valid interpretations require an explicit question or stated assumption with risk.
Keep shared guidance role-relevant. Universal guidance must help every receiving skill or agent; code-specific obligations belong only in code-specific protocols.
Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act.
Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
Sequential Thinking Protocol — Structured multi-step reasoning for complex/ambiguous work. Use when planning, reviewing, debugging, or refining ideas where one-shot reasoning is unsafe.
Thought N/M: [aspect] — one aspect per thought, state assumptions/uncertainty
Thought N/M [REVISION of Thought K]: ... — when prior reasoning invalidated; state Original / Why revised / Impact
Thought N/M [BRANCH A from Thought K]: ... — explore alternative; converge with decision rationale
Thought N/M [HYPOTHESIS]: ... then [VERIFICATION]: ... — test before acting
Thought N/N [FINAL] — only when verified, all critical aspects addressed, confidence >80%
Mandatory closers: Confidence % stated · Assumptions listed · Open questions surfaced · Next action concrete.
Stop conditions: confidence <80% on any critical decision → escalate via AskUserQuestion · ≥3 revisions on same thought → re-frame the problem · branch count >3 → split into sub-task.
Implicit mode: apply methodology internally without visible markers when adding markers would clutter the response (routine work where reasoning aids accuracy).
Deep-dive: see /sequential-thinking skill (.claude/skills/sequential-thinking/SKILL.md) for worked examples (API design, debugging, architecture), advanced techniques (spiral refinement, hypothesis testing, convergence), and meta-strategies (uncertainty handling, revision cascades).
MUST ATTENTION apply critical + sequential thinking — every claim needs appropriate traced evidence (file:line for repo/code claims; source URL or artifact section for research, product, content, and docs claims); confidence >80% to act, <60% DO NOT recommend. Anti-hallucination: never present guess as fact, admit uncertainty freely, cross-reference independently, stay skeptical of own confidence.
MUST ATTENTION apply sequential-thinking — multi-step Thought N/M, REVISION/BRANCH/HYPOTHESIS markers, confidence % closer; see /sequential-thinking skill.
MUST ATTENTION apply AI mistake prevention — verify generated content against evidence, trace downstream references before deleting or renaming, verify all affected outputs, re-read files after context loss, and surface ambiguity before acting.
Closing Reminders
MUST ATTENTION Protocols in force (concise digest of the SYNC/shared blocks this skill carries):
AI Mistake Prevention: verify generated content against evidence, trace downstream references, verify all affected outputs, re-read after context loss, surface ambiguity.
Critical Thinking: traced file:line proof per claim, confidence >80% to act, never guess.
Sequential Thinking: multi-step Thought N/M with REVISION/BRANCH/HYPOTHESIS markers and confidence closer.
MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
MANDATORY IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.