Agent skill

Release Engineering

by FerroxLabs in FerroxLabs/wayland

Release engineering expertise covering release trains, semantic versioning, changelog automation, feature freezes, rollback procedures, release notes generation, branching strategies, deployment…

Apache-2.0Auto-check passedDevelopment

Install Release Engineering

skills CLI
$ npx skills add FerroxLabs/wayland --skill release-engineering -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install FerroxLabs/wayland release-engineering --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/FerroxLabs/wayland.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/process/resources/skills-library/bodies/skills/software-engineering/release-engineering .claude/skills/release-engineering && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
release-engineering
GitHub stars
608
Token cost
~4.6k tokens
SKILL.md length
810 words
Files
1
Skills in repo
1,194
Repo updated
First seen
Licence
Apache-2.0

At a glance

Release engineering expertise covering release trains, semantic versioning, changelog automation, feature freezes, rollback procedures, release notes generation, branching strategies, deployment…

  • Works in 2 steps: Monitor: Watch error rates for 5 minutes → Verify: Hit health check endpoints, run…
  • The user asks about release engineering
  • SKILL.md covers Release Strategy Selection, Semantic Versioning, Changelog Automation and Branching Strategy for Releases, plus 7 more sections
  • Calls npx and npm

What it does

Release Engineering is an agent skill from FerroxLabs/wayland. Release engineering expertise covering release trains, semantic versioning, changelog automation, feature freezes, rollback procedures, release notes generation, branching strategies, deployment orchestration, and release readiness validation. Use when the user asks about release engineering, release engineering best practices, or needs guidance on release engineering implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Changelog and release notes, Git workflow and Feature launches and release readiness. The repository describes itself as: Wayland - The AI Agent That Perceives. Reasons. Acts. Evolves. The licence is Apache-2.0.

When your agent uses it

  • The user asks about release engineering
  • Release engineering best practices
  • Needs guidance on release engineering implementation
  • The user needs a different specialized skill

Example prompts

  • “/release-engineering”

Requirements

  • Node.js

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Monitor: Watch error rates for 5 minutes
  2. Verify: Hit health check endpoints, run smoke tests

What it can do on your machine

Read from SKILL.md and the folder at commit 4c030c7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx
    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx and npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Release Engineering loads about 4.6k tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 810 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~130
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from FerroxLabs/wayland at commit 4c030c7, republished under its Apache-2.0 licence (© FerroxLabs). 810 words, ~4,562 tokens.

Download SKILL.mdSave it as .claude/skills/release-engineering/SKILL.md (or your agent's skills folder).
name
release-engineering
description
Release engineering expertise covering release trains, semantic versioning, changelog automation, feature freezes, rollback procedures, release notes generation, branching strategies, deployment orchestration, and release readiness validation. Use when the user asks about release engineering, release engineering best practices, or needs guidance on release engineering implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.
license
Apache-2.0
metadata.author
foundry-skills
metadata.version
1.0.0
metadata.tags
best-practices version-control guide
metadata.category
software-engineering
metadata.subcategory
developer-tools
metadata.disclaimer
none
metadata.difficulty
intermediate

Release Engineering

You are a release engineer who ensures software gets from "code complete" to "running in production" reliably, repeatedly, and with full auditability. Release engineering is the discipline that makes deployments boring, which is exactly what they should be. If your releases are exciting, your process is broken.

Release Strategy Selection

Choosing a Release Model
ModelCadenceBest ForRisk Profile
Continuous DeploymentEvery merged PRSaaS products, small teamsLow per-release, high automation needed
Release TrainsFixed schedule (weekly/biweekly)Medium teams, B2B SaaSMedium, predictable
Feature-BasedWhen feature completeMobile apps, embeddedHigher per-release, thorough testing
LTS + CurrentDual trackLibraries, frameworks, platformsComplex, two active branches
Release Train Model
RELEASE TRAIN SCHEDULE (biweekly example):

Week 1 (Development):
  Mon: Sprint starts, previous release in production monitoring
  Tue-Fri: Feature development, daily merges to main

Week 2 (Stabilization):
  Mon: Cut release branch (release/v2.5.0)
  Tue-Wed: Bug fixes on release branch only. No new features.
  Thu: Release candidate build + QA sign-off
  Fri: Deploy to production

RULES:
  - The train leaves on schedule whether your feature is ready or not
  - Incomplete features stay behind feature flags (disabled)
  - Only bug fixes cherry-picked to release branch after cut
  - If a release is not stable by Thursday, it slips to next train

Semantic Versioning

The Rules (SemVer 2.0.0)
MAJOR.MINOR.PATCH (e.g., 3.2.1)

PATCH (3.2.1 -> 3.2.2):
  - Bug fixes
  - Security patches
  - Performance improvements with no API change
  - Documentation fixes

MINOR (3.2.1 -> 3.3.0):
  - New features (backwards compatible)
  - New API endpoints or methods
  - Deprecation warnings (but old API still works)
  - New optional parameters

MAJOR (3.2.1 -> 4.0.0):
  - Breaking API changes
  - Removed deprecated features
  - Changed return types or parameter requirements
  - Minimum dependency version bumps that affect consumers
Pre-release and Build Metadata
1.0.0-alpha.1       First alpha release
1.0.0-beta.1        First beta release
1.0.0-rc.1          Release candidate 1
1.0.0-rc.2          Release candidate 2 (bug fix)
1.0.0               Stable release
1.0.0+build.123     Build metadata (ignored in precedence)

PRECEDENCE ORDER:
  1.0.0-alpha.1 < 1.0.0-beta.1 < 1.0.0-rc.1 < 1.0.0
Versioning Decision Tree
Did you change the public API?
├── No: Is it a bug fix?
│   ├── Yes: PATCH bump
│   └── No: Is it a new feature?
│       ├── Yes: MINOR bump
│       └── No: PATCH bump (refactoring, perf, docs)
└── Yes: Is the change backwards compatible?
    ├── Yes: MINOR bump (new feature, old API still works)
    └── No: MAJOR bump (breaking change)

SPECIAL CASES:
  - 0.x.y: Anything can change at any time (pre-1.0 = unstable API)
  - Dependency bump: If your dep bumps MAJOR, you MAY need MAJOR too
    (only if the break is exposed through your API)

Changelog Automation

Conventional Commits
FORMAT: <type>(<scope>): <description>

TYPES:
  feat:     New feature                    -> MINOR bump
  fix:      Bug fix                        -> PATCH bump
  docs:     Documentation only             -> No bump
  style:    Formatting, missing semi colons -> No bump
  refactor: Code change that neither fixes nor adds -> No bump
  perf:     Performance improvement        -> PATCH bump
  test:     Adding missing tests           -> No bump
  chore:    Build process, auxiliary tools  -> No bump
  ci:       CI configuration changes       -> No bump

BREAKING CHANGE:
  feat!: remove deprecated API endpoint   -> MAJOR bump
  feat(auth): add OAuth2 support          -> MINOR bump

  OR add BREAKING CHANGE footer:
  feat(auth): replace session with JWT

  BREAKING CHANGE: Sessions are no longer supported.
  Migrate to JWT tokens using the migration guide.
Automated Changelog Generation
shell
# Using conventional-changelog
npx conventional-changelog -p angular -i CHANGELOG.md -s

# Using release-please (Google's tool)
# .github/workflows/release-please.yml
name: release-please
on:
  push:
    branches: [main]
jobs:
  release:
    runs-on: ubuntu-latest
    steps:
      - uses: googleapis/release-please-action@v4
        with:
          release-type: node
          # Automatically:
          # 1. Creates/updates a release PR with changelog
          # 2. Bumps version based on conventional commits
          # 3. Creates GitHub release when PR is merged

# Using changesets (popular for monorepos)
npx changeset add        # Developer describes their change
npx changeset version     # Bumps versions, generates changelog
npx changeset publish     # Publishes to npm
Changelog Format
markdown
# Changelog

## [3.2.0] - 2025-01-15

### Added
- OAuth2 authentication support (#342)
- Bulk import API for user management (#356)
- Rate limiting configuration per API key (#361)

### Changed
- Improved error messages for validation failures (#358)
- Upgraded PostgreSQL driver to v8.x (#360)

### Fixed
- Fixed race condition in concurrent order creation (#355)
- Fixed memory leak in WebSocket connection pool (#359)

### Deprecated
- Session-based authentication (will be removed in v4.0.0)

### Security
- Updated dependencies to patch CVE-2025-1234 (#363)

Branching Strategy for Releases

Git Flow (Release Branches)
main (production)
  │
  ├── release/v3.2.0 (cut from develop)
  │   ├── fix: patch critical bug
  │   ├── fix: update translations
  │   └── merge -> main (tag v3.2.0), merge back -> develop
  │
  develop (integration)
  │
  ├── feature/oauth2 -> merge to develop
  ├── feature/bulk-import -> merge to develop
  └── feature/rate-limiting -> merge to develop

HOTFIX:
  main
  ├── hotfix/v3.2.1 (branch from main)
  │   ├── fix: critical security patch
  │   └── merge -> main (tag v3.2.1), merge -> develop
Trunk-Based with Release Branches
main (always deployable)
  │
  ├── feature/oauth2 (short-lived, 1-3 days)
  │   └── merge to main via PR
  │
  ├── release/v3.2 (cut when ready to stabilize)
  │   ├── cherry-pick fixes from main
  │   └── tag v3.2.0, v3.2.1, etc.
  │
  └── release/v3.3 (next release)

Feature Freeze Process

Feature Freeze Checklist
markdown
## Release v3.2.0 Feature Freeze

### Freeze Date: [DATE]
### Release Date: [DATE + 5 business days]

### Pre-Freeze (1 day before)
- [ ] All feature PRs merged or deferred to next release
- [ ] Feature flags: incomplete features disabled in release config
- [ ] Release branch cut from main
- [ ] CI pipeline configured for release branch

### During Freeze
- [ ] Only bug fixes merged to release branch
- [ ] Each fix requires release manager approval
- [ ] Fix categories allowed:
  - [ ] P0/P1 bugs (crashes, data loss, security)
  - [ ] P2 bugs (incorrect behavior affecting users)
  - [ ] NOT allowed: P3 bugs, improvements, refactoring

### Release Candidate Validation
- [ ] RC1 build successful
- [ ] Automated test suite passes (unit, integration, E2E)
- [ ] Manual QA sign-off on critical paths
- [ ] Performance benchmarks within acceptable range
- [ ] Security scan clean (no new Critical/High findings)
- [ ] Database migration tested on staging with production-like data

Rollback Procedures

Rollback Decision Framework
INCIDENT DETECTED
  │
  ├── Is the new release the cause?
  │   ├── Unclear: Investigate (15-minute timebox)
  │   └── Yes: How severe?
  │       ├── P0 (data loss, security breach, full outage)
  │       │   └── ROLLBACK IMMEDIATELY (no discussion needed)
  │       ├── P1 (significant feature broken, partial outage)
  │       │   └── ROLLBACK within 30 minutes unless fix is trivial
  │       └── P2 (minor feature broken, workaround exists)
  │           └── ROLL FORWARD with hotfix (1-4 hour window)
  │
  └── No: Standard incident response
Rollback Types
TypeSpeedData ImpactUse When
Revert deploymentFast (minutes)None if statelessApplication-only change, no DB migration
Feature flag disableFastest (seconds)NoneFeature is behind a flag
Database rollbackSlow (varies)Possible data lossMigration was destructive (last resort)
Blue-green switchFast (seconds)NonePrevious version still running
Canary stopFast (seconds)MinimalCaught during canary rollout
Rollback Runbook Template
markdown
## Rollback Runbook: v3.2.0

### Prerequisites
- [ ] Previous version (v3.1.2) artifact available in registry
- [ ] Database migration is reversible (down migration exists and tested)
- [ ] Rollback has been tested in staging

### Application Rollback
1. Set deployment target to v3.1.2:
   ```shell
   kubectl set image deployment/api api=registry.com/api:v3.1.2
   # OR
   aws ecs update-service --cluster prod --service api --task-definition api:v3.1.2
  1. Monitor: Watch error rates for 5 minutes
  2. Verify: Hit health check endpoints, run smoke tests
Database Rollback (if needed)
  1. STOP: Confirm data loss implications with on-call lead
  2. Run down migration:
    shell
    npm run migrate:down -- --to v3.1.2
  3. WARNING: Data written to new columns/tables since deploy will be lost
Feature Flag Rollback (preferred)
  1. Disable flag in LaunchDarkly/Unleash/config:
    shell
    HTTP client request -X PATCH [reference URL] \
      -d '{"enabled": false}'
  2. No deployment needed. Change takes effect in < 60 seconds.
Post-Rollback
  • Notify stakeholders: "v3.2.0 rolled back due to [reason]"
  • Create incident ticket
  • Schedule post-mortem within 48 hours

## Release Notes

### Audience-Appropriate Notes

Write different notes for different audiences:

```markdown
## v3.2.0 Release Notes

### For Users (public changelog)
**New Features:**
- Sign in with Google and GitHub accounts
- Import users in bulk via CSV upload
- Set custom rate limits per API key

**Improvements:**
- Error messages now include specific field names and suggestions
- Dashboard loads 40% faster on initial page load

**Bug Fixes:**
- Fixed an issue where exports could be empty for large datasets
- Fixed incorrect timezone display for users in UTC+ timezones

---

### For Engineers (internal release notes)
**Breaking Changes:**
- `AuthService.authenticate()` now returns `Promise<AuthResult>` instead of `Promise<User>`
- Removed deprecated `GET /api/v1/users` (use `/api/v2/users`)

**Migration Required:**
- Run `npm run migrate` (adds `oauth_providers` table, `api_key_rate_limits` column)
- Update nginx config: new route `/auth/callback/*` must proxy to API

**Infrastructure:**
- Redis 7.x now required (was 6.x) for rate limiting features
- New env var: `OAUTH_GOOGLE_CLIENT_ID`, `OAUTH_GITHUB_CLIENT_ID`

**Known Issues:**
- CSV import timeout for files > 50MB (fix planned for v3.2.1)
- Rate limiting metrics not yet visible in Grafana (dashboard PR pending)

Release Readiness Checklist

Go/No-Go Decision Matrix
CriterionGoNo-Go
Automated testsAll passAny failure in critical path
PerformanceWithin 10% of baseline>20% regression
Security scanNo new Critical/HighAny new Critical
Staging validationAll scenarios passAny P0/P1 scenario fails
Database migrationTested on stagingNot tested or irreversible
Rollback testedVerified on stagingNot verified
DocumentationUpdated for breaking changesBreaking changes undocumented
MonitoringAlerts configured for new featuresNo monitoring for new code paths
On-callEngineer available for 4 hours post-deployNo one available

Release Automation Pipeline

yaml
# .github/workflows/release.yml
name: Release
on:
  push:
    tags: ['v*']

jobs:
  validate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npm ci
      - run: npm test
      - run: npm run lint
      - run: npm run build
      - run: npm run test:e2e

  security-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npm audit --audit-level=high
      - uses: aquasecurity/trivy-action@master
        with:
          scan-type: fs

  build-and-publish:
    needs: [validate, security-scan]
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npm ci
      - run: npm run build
      - run: docker build -t registry.com/api:${{ github.ref_name }} .
      - run: docker push registry.com/api:${{ github.ref_name }}

  deploy-staging:
    needs: build-and-publish
    environment: staging
    runs-on: ubuntu-latest
    steps:
      - run: kubectl set image deployment/api api=registry.com/api:${{ github.ref_name }}
      - run: ./scripts/wait-for-healthy.shell-cmd staging
      - run: ./scripts/smoke-test.shell-cmd staging

  deploy-production:
    needs: deploy-staging
    environment: production  # Requires manual approval in GitHub
    runs-on: ubuntu-latest
    steps:
      - run: kubectl set image deployment/api api=registry.com/api:${{ github.ref_name }}
      - run: ./scripts/wait-for-healthy.shell-cmd production
      - run: ./scripts/smoke-test.shell-cmd production

  create-release:
    needs: deploy-production
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npx conventional-changelog -p angular -r 1 > RELEASE_NOTES.md
      - uses: softprops/action-gh-release@v2
        with:
          body_path: RELEASE_NOTES.md
          generate_release_notes: true

Common Anti-Patterns

  1. "We'll test it in production": Not a release strategy. Even with feature flags, untested code in production is a liability. Test in staging with production-like data.

  2. Manual release steps: If your release process has a wiki page with 20 manual steps, it will fail. Automate everything. The runbook should be executable, not readable.

  3. Big-bang releases: Accumulating 3 months of changes and releasing all at once. If something breaks, you have 3 months of changes to bisect. Release frequently with small batches.

  4. No rollback plan: "We'll just fix forward." You need both options. Sometimes a fix takes hours and your users are down now.

  5. Version number vanity: Avoiding major version bumps because "v2.0 sounds bad." SemVer is a communication protocol, not a marketing tool. If you break the API, bump the major version.

Show full SKILL.md (277 more words)Show less

Release Engineering Checklist

  • Release model chosen and documented (train, continuous, feature-based)
  • Semantic versioning policy defined and enforced
  • Conventional commits enforced via commit hooks
  • Changelog generated automatically from commits
  • Release branch strategy documented
  • Feature freeze process defined with allowed change categories
  • Rollback procedure documented and tested in staging
  • Release notes template covers both user and engineer audiences
  • Go/no-go criteria defined for release readiness
  • CI/CD pipeline automates build, test, scan, deploy, and release notes
  • On-call rotation covers the post-deployment monitoring window

When to Use

Use this skill when:

  • Designing or implementing release engineering solutions
  • Reviewing or improving existing release engineering approaches
  • Making architectural or implementation decisions about release engineering
  • Learning release engineering patterns and best practices
  • Troubleshooting release engineering-related issues

Do NOT use this skill when:

  • The question is about a fundamentally different technology domain
  • A more specific sibling skill covers the exact topic needed
  • The user needs a complete hands-on tutorial rather than expert guidance

Output Format

markdown
# Release Engineering Analysis

## Context Assessment
[Situation summary and constraints]

## Recommended Approach
[Primary recommendation with rationale]

## Implementation Steps
1. [Step with specific details]
2. [Step with specific details]
3. [Step with specific details]

## Trade-offs and Considerations
- [Key trade-off 1]
- [Key trade-off 2]

## Next Steps
- [Immediate action item]
- [Follow-up action item]

Example

Input: "Help me implement release engineering for a medium-scale production application"

Output: A structured analysis covering current state assessment, recommended release engineering approach with specific patterns, implementation roadmap with milestones, and risk mitigation strategies tailored to the application scale and constraints.

Edge Cases

  • Legacy system integration: When release engineering must coexist with legacy approaches, provide a gradual migration path rather than a complete rewrite
  • Scale mismatch: When the solution complexity exceeds the project scale, recommend a simpler approach and note when to revisit
  • Team skill gaps: When the team lacks experience with the recommended approach, include learning resources and simpler alternatives
  • Conflicting requirements: When constraints conflict (e.g., performance vs. maintainability), explicitly state the trade-off and recommend based on stated priorities

© FerroxLabs, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in src/process/resources/skills-library/bodies/skills/software-engineering/release-engineering of FerroxLabs/wayland.

Open the folder on GitHubat commit 4c030c7

Compare with similar skills

Release Engineering next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Release Engineering compared with similar skills
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Release Engineering this skillFerroxLabs/wayland608—~4.6kAutomated safety check: PassApache-2.0
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Release Managementruby-git/ruby-git1.8k—~3.1kAutomated safety check: PassMIT
Release MaintainerUndertone0809/rudder292—~2.1kAutomated safety check: PassApache-2.0
Release Orchestratorborghei/Claude-Skills874—~1.5kAutomated safety check: PassMIT
Release Engineeringmajiayu000/spellbook286—~511Automated safety check: PassMIT

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Categories

Questions about Release Engineering

What does Release Engineering do?

Release engineering expertise covering release trains, semantic versioning, changelog automation, feature freezes, rollback procedures, release notes generation, branching strategies, deployment…. Release Engineering is an agent skill from FerroxLabs/wayland. Release engineering expertise covering release trains, semantic versioning, changelog automation, feature freezes, rollback procedures, release notes generation, branching strategies, deployment orchestration, and release readiness validation.

When should I use Release Engineering?

Release Engineering fits situations like: the user asks about release engineering; release engineering best practices; needs guidance on release engineering implementation; the user needs a different specialized skill.

How do I install Release Engineering in Claude Code?

Run `npx skills add FerroxLabs/wayland --skill release-engineering -a claude-code`. Or copy the skill folder (src/process/resources/skills-library/bodies/skills/software-engineering/release-engineering in FerroxLabs/wayland) into .claude/skills/release-engineering in your project. Claude Code loads it when a task matches its description.

How do I install Release Engineering in Codex?

Run `npx skills add FerroxLabs/wayland --skill release-engineering -a codex`. Or copy the skill folder (src/process/resources/skills-library/bodies/skills/software-engineering/release-engineering in FerroxLabs/wayland) into .agents/skills/release-engineering in your project. Codex loads it when a task matches its description.

Can I use Release Engineering in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add FerroxLabs/wayland --skill release-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/release-engineering, .gemini/skills/release-engineering, .github/skills/release-engineering and .opencode/skills/release-engineering in your project.

What does Release Engineering need to run?

Going by SKILL.md and its folder, Release Engineering needs the command-line tools its instructions call (npx and npm). Our summary lists: Node.js.

Does Release Engineering access the network?

SKILL.md contains no URLs. Its commands use npx and npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Release Engineering safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Release Engineering use?

Release Engineering is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Release Engineering use?

About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Release Engineering?

Skills that share tags, products or a category with Release Engineering: ClawRouter Release Checklist (BlockRunAI/ClawRouter, 6.6k stars), Release Management (ruby-git/ruby-git, 1.8k stars), Release Maintainer (Undertone0809/rudder, 292 stars) and Release Orchestrator (borghei/Claude-Skills, 874 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Release Engineering?

FerroxLabs (a GitHub user) maintains it in FerroxLabs/wayland, which has 608 GitHub stars. The repository holds 1,194 skills in this directory. The repository was last updated on October 6, 2026.

Source: FerroxLabs/wayland on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.