specify-feature
Imported from https://github.com/yangsi7/fine-tuning-exercise-generation.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install yangsi7-fine-tuning-exercise-generation-specify-feature
Repository
Skill path: .claude/skills/specify-feature
Imported from https://github.com/yangsi7/fine-tuning-exercise-generation.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: yangsi7.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install specify-feature into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/yangsi7/fine-tuning-exercise-generation before adding specify-feature to shared team environments
- Use specify-feature for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: Specification Creation
description: Create technology-agnostic feature specifications using intelligence-first queries. Use when user describes what they want to build, mentions requirements, discusses user needs, or says "I want to create/build/implement" something. This skill enforces Article IV Specification-First Development.
degree-of-freedom: low
allowed-tools: Bash(fd:*), Bash(git:*), Bash(mkdir:*), Bash(project-intel.mjs:*), Read, Write, Edit, Grep
---
@.claude/shared-imports/constitution.md
@.claude/shared-imports/CoD_Σ.md
@.claude/templates/feature-spec.md
# Specification Creation
**Purpose**: Generate technology-agnostic feature specifications (WHAT/WHY only, no HOW) with intelligence-backed evidence and structured user stories.
**Constitutional Authority**: Article IV (Specification-First Development), Article I (Intelligence-First Principle), Article II (Evidence-Based Reasoning)
---
## Phase 1: Intelligence-First Context Gathering
**MANDATORY**: Execute intelligence queries BEFORE any file operations.
### Step 1.1: Auto-Number Next Feature
```bash
!`fd --type d --max-depth 1 '^[0-9]{3}-' specs/ 2>/dev/null | sort | tail -1`
```
Extract highest existing feature number, increment by 1 for next feature.
**Example**:
- Last feature: `specs/003-auth-system`
- Next number: `004`
### Step 1.2: Query Existing Patterns
```bash
!`project-intel.mjs --search "<user-keywords>" --type md --json > /tmp/spec_intel_patterns.json`
```
Search for related features, similar requirements, existing patterns.
**Save evidence** to `/tmp/spec_intel_patterns.json` for CoD^Σ tracing.
### Step 1.3: Understand Project Architecture
```bash
!`project-intel.mjs --overview --json > /tmp/spec_intel_overview.json`
```
Get project structure, tech stack, existing components to inform requirements.
---
## Phase 2: Extract User Requirements (WHAT/WHY Only)
**Article IV Mandate**: Specifications MUST be technology-agnostic.
### Step 2.1: Problem Statement
Extract from user description:
- What problem are they trying to solve?
- Why is this needed?
- Who will use this?
- What value does it provide?
**NO IMPLEMENTATION DETAILS**: No tech stack, no architecture, no "how to build it".
### Step 2.2: User Stories with Priorities
Organize requirements as user stories:
**Format**:
```
## User Story 1 - [Title] (Priority: P1)
**As a** [user type]
**I want to** [capability]
**So that** [value/benefit]
**Why P1**: [Rationale for priority]
**Independent Test**: [How to validate this story works standalone]
**Acceptance Scenarios**:
1. **Given** [state], **When** [action], **Then** [outcome]
2. **Given** [state], **When** [action], **Then** [outcome]
```
**Priority Levels**:
- **P1**: Must-have for MVP (core value)
- **P2**: Important but not blocking (enhances P1)
- **P3**: Nice-to-have (can be deferred)
**Requirement**: Each story MUST be independently testable (Article VII).
### Step 2.3: Functional Requirements (Technology-Agnostic)
Document as testable requirements:
```
- **FR-001**: System MUST [specific capability]
- **FR-002**: Users MUST be able to [interaction]
- **FR-003**: System MUST [behavior]
```
**Mark Unknowns**:
```
- **FR-004**: System MUST authenticate users via [NEEDS CLARIFICATION: auth method not specified]
```
**Maximum 3 [NEEDS CLARIFICATION] markers** - use sparingly, clarify rest through user dialogue.
---
## Phase 3: Generate Specification with CoD^Σ Evidence
### Step 3.1: Create Feature Directory Structure
```bash
NEXT_NUM=$(printf "%03d" $(($(fd --type d --max-depth 1 '^[0-9]{3}-' specs/ 2>/dev/null | wc -l) + 1)))
FEATURE_NAME="<derived-from-user-description>" # Lowercase, hyphenated, 2-4 words
mkdir -p specs/$NEXT_NUM-$FEATURE_NAME
```
### Step 3.2: Create Git Branch (if git repo)
```bash
if git rev-parse --git-dir >/dev/null 2>&1; then
git checkout -b "$NEXT_NUM-$FEATURE_NAME"
fi
```
### Step 3.3: Write Specification
Use `@.claude/templates/feature-spec.md` structure with:
1. **YAML Frontmatter**:
```yaml
---
feature: <number>-<name>
created: <YYYY-MM-DD>
status: Draft
priority: P1
---
```
2. **Problem Statement**: What problem are we solving and why?
3. **User Stories**: From Step 2.2 (prioritized, independently testable)
4. **Functional Requirements**: From Step 2.3 (technology-agnostic)
5. **Success Criteria**: Measurable outcomes (not technical metrics)
6. **CoD^Σ Evidence Trace**:
```
Intelligence Queries:
- project-intel.mjs --search "<keywords>" → /tmp/spec_intel_patterns.json
Findings: [file:line references to similar features]
- project-intel.mjs --overview → /tmp/spec_intel_overview.json
Context: [existing architecture patterns]
Assumptions:
- [ASSUMPTION: rationale based on intelligence findings]
Clarifications Needed:
- [NEEDS CLARIFICATION: specific question]
```
7. **Edge Cases**: Boundary conditions, error scenarios
### Step 3.4: Save Specification
```bash
Write specs/$NEXT_NUM-$FEATURE_NAME/spec.md
```
---
## Phase 4: Report to User
**Output Format**:
```
✓ Feature specification created: specs/<number>-<name>/spec.md
Intelligence Evidence:
- Queries executed: project-intel.mjs --search, --overview
- Patterns found: <file:line references>
- Related features: <existing feature numbers>
User Stories:
- P1 stories: <count> (MVP scope)
- P2 stories: <count> (enhancements)
- P3 stories: <count> (future)
Clarifications Needed:
- [NEEDS CLARIFICATION markers if any, max 3]
**Automatic Next Steps**:
1. If clarifications needed: Use clarify-specification skill
2. Otherwise: **Automatically create implementation plan**
Invoking /plan command now...
[Plan creation, task generation, and audit will proceed automatically]
```
---
## Phase 5: Automatic Implementation Planning
**DO NOT ask user to trigger planning** - this is automatic workflow progression (unless clarifications needed).
### Step 5.1: Check for Clarifications
**If [NEEDS CLARIFICATION] markers exist**:
- Do NOT proceed to planning
- Report clarifications needed to user
- User must run clarify-specification skill or provide answers
- After clarifications, re-run specify-feature skill
**If NO clarifications** (or max 0-1 minor ones):
- Proceed automatically to implementation planning
### Step 5.2: Invoke /plan Command
**Instruct Claude**:
"Specification is complete. **Automatically create the implementation plan**:
Run: `/plan specs/$FEATURE/spec.md`
This will:
1. Create implementation plan with tech stack selection
2. Generate research.md, data-model.md, contracts/, quickstart.md
3. Define ≥2 acceptance criteria per user story
4. **Automatically invoke generate-tasks skill**
5. **Automatically invoke /audit quality gate**
The entire workflow from planning → tasks → audit happens automatically. No manual intervention needed."
### Step 5.3: Workflow Automation
After `/plan` is invoked, the automated workflow proceeds:
```
/plan specs/$FEATURE/spec.md
↓ (automatic)
create-implementation-plan skill
↓ (automatic)
generate-tasks skill
↓ (automatic)
/audit $FEATURE
↓
Quality Gate Result: PASS/FAIL
```
**User sees**:
- spec.md created ✓
- plan.md created ✓
- tasks.md created ✓
- audit report generated ✓
- Implementation readiness status
**User only needs to**:
- Review audit results
- Fix any CRITICAL issues (if audit fails)
- Or proceed with `/implement plan.md` (if audit passes)
---
**Note**: This completes specification creation. Next steps happen automatically unless clarifications are needed.
```
**Constitutional Compliance**:
- ✓ Article I: Intelligence queries executed before file operations
- ✓ Article II: CoD^Σ trace with evidence saved to /tmp/*.json
- ✓ Article IV: Specification is technology-agnostic (WHAT/WHY only)
- ✓ Article VII: User stories are independently testable
---
## Anti-Patterns to Avoid
**DO NOT**:
- Include tech stack choices in specification
- Design architecture or data models
- Specify implementation details ("use React hooks", "create API endpoint")
- Create more than 3 [NEEDS CLARIFICATION] markers (clarify through dialogue first)
- Write vague requirements ("system should be fast" → specify "p95 latency < 200ms")
**DO**:
- Focus on user value and business requirements
- Make requirements testable and measurable
- Prioritize user stories (P1, P2, P3)
- Document evidence from intelligence queries
- Limit unknowns (max 3 [NEEDS CLARIFICATION])
---
## Example Execution
**User Input**: "I want to build a user authentication system with social login options"
**Execution**:
1. **Intelligence Queries**:
```bash
fd --type d --max-depth 1 '^[0-9]{3}-' specs/
# Output: specs/001-dashboard, specs/002-api, specs/003-reporting
# Next: 004
project-intel.mjs --search "auth login" --type tsx --json
# Findings: src/components/Login.tsx:12-45 (existing login form)
# src/utils/auth.ts:23 (auth helper functions)
```
2. **Extract Requirements**:
```
Problem: Users need to securely access their accounts
Why: Enable personalized experiences and data security
Who: End users, administrators
Value: Secure access, convenience
User Stories:
- P1: Basic email/password authentication
- P2: Social login (Google, GitHub)
- P3: Two-factor authentication
```
3. **Create Feature**:
```bash
mkdir -p specs/004-user-authentication
git checkout -b 004-user-authentication
```
4. **Write Spec** with CoD^Σ evidence, user stories, requirements
5. **Report**:
```
✓ Feature specification created: specs/004-user-authentication/spec.md
Intelligence Evidence:
- Found existing: src/components/Login.tsx:12-45, src/utils/auth.ts:23
- Pattern: Email/password already partially implemented
User Stories: 3 total (1 P1, 1 P2, 1 P3)
Next: Run clarify-specification skill or create-implementation-plan skill
```
---
**Skill Version**: 1.0.0
**Last Updated**: 2025-10-19