/release-init
Initialize or analyze release strategy for the project. For new projects, recommends optimal release approach based on architecture, team size, and deployment frequency. For brownfield projects, detects existing release patterns from git history, CI/CD configs, and package
> /plugin marketplace add anton-abyzov/specweave > /plugin install sw@specweave
How it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/release-init
Context preview
What this command does when you run it.
Initialize or analyze release strategy for the project. For new projects, recommends optimal release approach based on architecture, team size, and deployment frequency. For brownfield projects, detects existing release patterns from git history, CI/CD configs, and package
Command definition
release-init.mddescription: Initialize or analyze release strategy for the project. For new projects, recommends optimal release approach based on architecture, team size, and deployment frequency. For brownfield projects, detects existing release patterns from git history, CI/CD configs, and package managers, then documents the strategy. Creates release-strategy.md in living docs with comprehensive release process documentation.
sw-release:init - Initialize Release Strategy
Initialize or analyze the release strategy for your project.
What This Command Does
**For New Projects (Greenfield)**: 1. Analyzes project architecture (single-repo, multi-repo, monorepo) 2. Asks about team size, deployment frequency, coupling between services 3. Recommends optimal release strategy (lockstep, independent, umbrella) 4. Creates `.specweave/docs/internal/delivery/release-strategy.md` 5. Suggests CI/CD automation opportunities
**For Existing Projects (Brownfield)**: 1. Scans git history for version tags and patterns 2. Analyzes CI/CD configurations (.github/workflows/, .gitlab-ci.yml, etc.) 3. Checks package manager files (package.json, setup.py, pom.xml, etc.) 4. Detects monorepo tools (Lerna, Nx, Turborepo, Changesets) 5. Documents existing strategy in living docs 6. Suggests improvements and best practices
Usage
# Interactive analysis and recommendation
sw-release:init
# Force re-analysis (overwrite existing strategy)
sw-release:init --force
# Quick analysis (no interactive prompts, use defaults)
sw-release:init --quick
Workflow
Greenfield Projects
1. Project Structure Analysis
→ Detect repositories (scan for .git/)
→ Count services/packages
→ Identify architecture pattern
2. Interactive Questionnaire
? How many repositories? [1 / 2-5 / 5+]
? Team structure? [One team / Per-service teams / Mixed]
? Deployment frequency? [Daily / Weekly / Monthly / Ad-hoc]
? Coupling between services? [Tight / Moderate / Loose]
? Planning to use RC workflow? [Yes / No / For major versions only]
3. Strategy Recommendation
Based on your answers:
→ Recommended: Umbrella Versioning
→ Rationale: Medium-sized team, weekly releases, moderate coupling
→ RC workflow: For major versions (breaking changes)
4. Documentation Creation
→ Create: .specweave/docs/internal/delivery/release-strategy.md
→ Include: Versioning approach, RC workflow, CI/CD integration
→ Add: Release checklist, rollback procedures
5. Next Steps Guidance
→ Set up CI/CD automation (GitHub Actions template provided)
→ Configure semantic-release or Changesets
→ Define release waves (dependency order)
→ Create first release increment: sw:increment "0001-v1-release"
Brownfield Projects
1. Git History Scan
→ Analyzing tags: git tag --list
→ Found: 45 tags (v1.0.0, v1.1.0, ..., v3.2.0)
→ Pattern: Semantic versioning ✓
→ RC usage: Detected for major versions (v2.0.0-rc.1, v3.0.0-rc.1)
→ Cadence: ~1 release per week
2. CI/CD Detection
→ Found: .github/workflows/release.yml
→ Tool: semantic-release ✓
→ Triggers: Push to main with version tags
→ Actions: Build → Test → Publish to NPM → Create GitHub Release
3. Package Manager Analysis
→ Found: package.json (NPM project)
→ Current version: 3.2.0 (matches git tag ✓)
→ Scripts: npm version, npm publish ✓
→ Dependencies: 25 packages
4. Monorepo Detection (if applicable)
→ Found: lerna.json
→ Mode: independent (packages version separately)
→ Packages: 12
→ Tool: Lerna v7.4.0
5. Strategy Classification
Current Strategy:
→ Type: Monorepo with independent versioning
→ Tool: Lerna + semantic-release
→ RC: For major versions only
→ Frequency: Weekly
→ Automation: High (GitHub Actions)
6. Documentation Creation
→ Create: .specweave/docs/internal/delivery/release-strategy.md
→ Document: Existing process, tools, patterns
→ Add: Version matrix (for umbrella releases if applicable)
7. Improvement Suggestions
Recommendations:
✓ Current strategy is solid
→ Consider: Changesets for better changelog management
→ Consider: Umbrella versioning for product milestones
→ Add: Version matrix documentation (.specweave/docs/internal/delivery/version-matrix.md)
→ Enhance: RC workflow with canary deployments
What Gets Created
**File**: `.specweave/docs/internal/delivery/release-strategy.md`
**Structure**:
# Release Strategy: {Project Name}
## Overview
- Repository Type: Single-repo / Multi-repo / Monorepo
- Versioning Strategy: Lockstep / Independent / Umbrella
- RC Workflow: Yes / No / Major versions only
- Release Frequency: Daily / Weekly / Monthly
- Automation Level: Manual / Semi-automated / Fully automated
## Repositories
| Repo | Purpose | Current Version | Frequency |
|------|---------|----------------|-----------|
| frontend | User interface | v5.2.0 | Weekly |
| backend | API server | v3.8.0 | Bi-weekly |
| shared-lib | Shared utilities | v2.1.0 | Monthly |
## Version Alignment
- **Major versions**: Coordinated (breaking changes affect all)
- **Minor versions**: Independent (services evolve separately)
- **Patch versions**: Independent (bug fixes as needed)
## Release Candidate Workflow
1. Create RC tag: v{major}.{minor}.{patch}-rc.1
2. Deploy to staging environment
3. Run validation tests (unit + integration + E2E + performance)
4. Testing phase: 1-2 weeks
5. Bug fixes → Iterate to rc.2, rc.3, ...
6. All tests pass → Promote to production: v{major}.{minor}.{patch}
7. Gradual rollout: 10% → 25% → 50% → 100%
## CI/CD Integration
- **Tool**: GitHub Actions / GitLab CI / Jenkins / CircleCI
- **Trigger**: Push tags matching v*.*.* pattern
- **Workflow**:
1. Build: Compile, bundle, create artifacts
2. Test: Run all automated tests
3. Publish: NPM / PyPI / Docker Registry / Maven Central
4. Release: Create GitHub/GitLab release with changelog
5. Deploy: Push to staging/production (KubRead more
description: Initialize or analyze release strategy for the project. For new projects, recommends optimal release approach based on architecture, team size, and deployment frequency. For brownfield projects, detects existing release patterns from git history, CI/CD configs, and package managers, then documents the strategy. Creates release-strategy.md in living docs with comprehensive release process documentation.
sw-release:init - Initialize Release Strategy
Initialize or analyze the release strategy for your project.
What This Command Does
**For New Projects (Greenfield)**: 1. Analyzes project architecture (single-repo, multi-repo, monorepo) 2. Asks about team size, deployment frequency, coupling between services 3. Recommends optimal release strategy (lockstep, independent, umbrella) 4. Creates `.specweave/docs/internal/delivery/release-strategy.md` 5. Suggests CI/CD automation opportunities
**For Existing Projects (Brownfield)**: 1. Scans git history for version tags and patterns 2. Analyzes CI/CD configurations (.github/workflows/, .gitlab-ci.yml, etc.) 3. Checks package manager files (package.json, setup.py, pom.xml, etc.) 4. Detects monorepo tools (Lerna, Nx, Turborepo, Changesets) 5. Documents existing strategy in living docs 6. Suggests improvements and best practices
Usage
# Interactive analysis and recommendation sw-release:init # Force re-analysis (overwrite existing strategy) sw-release:init --force # Quick analysis (no interactive prompts, use defaults) sw-release:init --quick
Workflow
Greenfield Projects
1. Project Structure Analysis → Detect repositories (scan for .git/) → Count services/packages → Identify architecture pattern 2. Interactive Questionnaire ? How many repositories? [1 / 2-5 / 5+] ? Team structure? [One team / Per-service teams / Mixed] ? Deployment frequency? [Daily / Weekly / Monthly / Ad-hoc] ? Coupling between services? [Tight / Moderate / Loose] ? Planning to use RC workflow? [Yes / No / For major versions only] 3. Strategy Recommendation Based on your answers: → Recommended: Umbrella Versioning → Rationale: Medium-sized team, weekly releases, moderate coupling → RC workflow: For major versions (breaking changes) 4. Documentation Creation → Create: .specweave/docs/internal/delivery/release-strategy.md → Include: Versioning approach, RC workflow, CI/CD integration → Add: Release checklist, rollback procedures 5. Next Steps Guidance → Set up CI/CD automation (GitHub Actions template provided) → Configure semantic-release or Changesets → Define release waves (dependency order) → Create first release increment: sw:increment "0001-v1-release"
Brownfield Projects
1. Git History Scan → Analyzing tags: git tag --list → Found: 45 tags (v1.0.0, v1.1.0, ..., v3.2.0) → Pattern: Semantic versioning ✓ → RC usage: Detected for major versions (v2.0.0-rc.1, v3.0.0-rc.1) → Cadence: ~1 release per week 2. CI/CD Detection → Found: .github/workflows/release.yml → Tool: semantic-release ✓ → Triggers: Push to main with version tags → Actions: Build → Test → Publish to NPM → Create GitHub Release 3. Package Manager Analysis → Found: package.json (NPM project) → Current version: 3.2.0 (matches git tag ✓) → Scripts: npm version, npm publish ✓ → Dependencies: 25 packages 4. Monorepo Detection (if applicable) → Found: lerna.json → Mode: independent (packages version separately) → Packages: 12 → Tool: Lerna v7.4.0 5. Strategy Classification Current Strategy: → Type: Monorepo with independent versioning → Tool: Lerna + semantic-release → RC: For major versions only → Frequency: Weekly → Automation: High (GitHub Actions) 6. Documentation Creation → Create: .specweave/docs/internal/delivery/release-strategy.md → Document: Existing process, tools, patterns → Add: Version matrix (for umbrella releases if applicable) 7. Improvement Suggestions Recommendations: ✓ Current strategy is solid → Consider: Changesets for better changelog management → Consider: Umbrella versioning for product milestones → Add: Version matrix documentation (.specweave/docs/internal/delivery/version-matrix.md) → Enhance: RC workflow with canary deployments
What Gets Created
**File**: `.specweave/docs/internal/delivery/release-strategy.md`
**Structure**:
# Release Strategy: {Project Name}
## Overview
- Repository Type: Single-repo / Multi-repo / Monorepo
- Versioning Strategy: Lockstep / Independent / Umbrella
- RC Workflow: Yes / No / Major versions only
- Release Frequency: Daily / Weekly / Monthly
- Automation Level: Manual / Semi-automated / Fully automated
## Repositories
| Repo | Purpose | Current Version | Frequency |
|------|---------|----------------|-----------|
| frontend | User interface | v5.2.0 | Weekly |
| backend | API server | v3.8.0 | Bi-weekly |
| shared-lib | Shared utilities | v2.1.0 | Monthly |
## Version Alignment
- **Major versions**: Coordinated (breaking changes affect all)
- **Minor versions**: Independent (services evolve separately)
- **Patch versions**: Independent (bug fixes as needed)
## Release Candidate Workflow
1. Create RC tag: v{major}.{minor}.{patch}-rc.1
2. Deploy to staging environment
3. Run validation tests (unit + integration + E2E + performance)
4. Testing phase: 1-2 weeks
5. Bug fixes → Iterate to rc.2, rc.3, ...
6. All tests pass → Promote to production: v{major}.{minor}.{patch}
7. Gradual rollout: 10% → 25% → 50% → 100%
## CI/CD Integration
- **Tool**: GitHub Actions / GitLab CI / Jenkins / CircleCI
- **Trigger**: Push tags matching v*.*.* pattern
- **Workflow**:
1. Build: Compile, bundle, create artifacts
2. Test: Run all automated tests
3. Publish: NPM / PyPI / Docker Registry / Maven Central
4. Release: Create GitHub/GitLab release with changelog
5. Deploy: Push to staging/production (KubSpec-first AI development: describe a feature → AI creates spec + plan + tasks, builds autonomously, syncs to GitHub/JIRA. Domain-expert skills for PM, Architect, Frontend, QA learn your patterns permanently. Claude Code, Codex, Cursor, Copilot & more.
Repo: anton-abyzov/specweave
Other commands on specweave.
- /abandon
Abandon an incomplete increment (requirements changed, obsolete)
Open command - /ado-cleanup-duplicates
Clean up duplicate Azure DevOps work items for a Feature. Finds work items with duplicate titles and closes all except the first created item.
Open command - /ado-clone
Clone Azure DevOps repositories to local workspace. Use after init if cloning was skipped, or to add repos later.
Open command - /ado-close
Close Azure DevOps work item when increment complete
Open command - /ado-create
Create Azure DevOps work item from SpecWeave increment
Open command - /ado-import-areas
Import Azure DevOps area paths from a project and map them to SpecWeave projects. Creates 2-level directory structure with area path-based organization.
Open command

