Agent skill

Release Engineering

by magnus919 in magnus919/agent-skills

Design, automate, and operate end-to-end software releases: release process models and pipelines (trunk-based development, CD stages, release trains), progressive delivery and feature flags…

MITAuto-check passedDevOps & Cloud

Install Release Engineering

skills CLI
$ npx skills add magnus919/agent-skills --skill release-engineering -a claude-code

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

GitHub CLI
$ gh skill install magnus919/agent-skills 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/magnus919/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/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
113
Token cost
~3.9k tokens
SKILL.md length
1,454 words
Files
42 (incl. scripts, references, assets)
Skills in repo
115
Repo updated
First seen
Licence
MIT

At a glance

Design, automate, and operate end-to-end software releases: release process models and pipelines (trunk-based development, CD stages, release trains), progressive delivery and feature flags…

  • Application feature implementation (backend-engineering/frontend-engineering)
  • SKILL.md covers Ownership, Core Principles, Loading Guide and Adjacent Skills, plus 4 more sections
  • Calls python3
  • Production incident root-cause debugging

What it does

Release Engineering is an agent skill from magnus919/agent-skills. Design, automate, and operate end-to-end software releases: release process models and pipelines (trunk-based development, CD stages, release trains), progressive delivery and feature flags, versioning and artifact management (SemVer, conventional commits, changelogs, SBOM/provenance), readiness and quality gates, rollback and recovery planning, change-management and audit compliance (SOC 2, SOX, PCI), DORA metrics, and multi-team release coordination. Do not use for application feature implementation…

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 44 other files, including scripts, reference files and assets (for example `README.md`, `assets/deployment-strategy-matrix.md` and `assets/dora-metrics-reference.md`). Compatibility notes: Platform-agnostic methodology. Scripts require Python 3.8+ (stdlib only). No CI platform, deployment tool, or version control mandate.

It sits in DevOps & Cloud, covering Site reliability engineering, Platform engineering and Debugging. The repository describes itself as: Curated collection of AI agent skills for Hermes and other agent frameworks. The licence is MIT.

When your agent uses it

  • Application feature implementation (backend-engineering/frontend-engineering)
  • Production incident root-cause debugging
  • On-call/SLO operations (systematic-debugging / site-reliability-engineering)
  • Security implementation

Example prompts

  • “/release-engineering”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Platform-agnostic methodology. Scripts require Python 3.8+ (stdlib only). No CI platform, deployment tool, or version control mandate.

What it can do on your machine

Read from SKILL.md and the folder at commit 96fbe07. 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

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • python3

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

  • Network

    No URLs in SKILL.md.

    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.

  • Compatibility

    Platform-agnostic methodology. Scripts require Python 3.8+ (stdlib only). No CI platform, deployment tool, or version control mandate.

    From compatibility in the SKILL.md frontmatter.

Context cost

Release Engineering loads about 3.9k tokens when it runs, and up to ~82k if it reads all its reference files. Until then it costs about 209 tokens; SKILL.md has 1,454 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~209
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~82k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from magnus919/agent-skills at commit 96fbe07, republished under its MIT licence (© magnus919). 1,454 words, ~3,883 tokens.

Download SKILL.mdSave it as .claude/skills/release-engineering/SKILL.md (or your agent's skills folder). This skill also uses 41 other files; get the full folder from GitHub.
name
release-engineering
description
Design, automate, and operate end-to-end software releases: release process models and pipelines (trunk-based development, CD stages, release trains), progressive delivery and feature flags, versioning and artifact management (SemVer, conventional commits, changelogs, SBOM/provenance), readiness and quality gates, rollback and recovery planning, change-management and audit compliance (SOC 2, SOX, PCI), DORA metrics, and multi-team release coordination. Do not use for application feature implementation (backend-engineering/frontend-engineering), production incident root-cause debugging or on-call/SLO operations (systematic-debugging / site-reliability-engineering), security implementation or threat modeling (secure-software-engineering), or internal developer platform construction (platform-engineering).
compatibility
Platform-agnostic methodology. Scripts require Python 3.8+ (stdlib only). No CI platform, deployment tool, or version control mandate.
license
MIT
metadata.source_repo
https://github.com/magnus919/agent-skills
metadata.skill_version
1.0.0
metadata.tags
release-engineering, releases, ci-cd, continuous-delivery, progressive-delivery, feature-flags, semver, changelog, rollback, release-trains, dora, sbom…

Release Engineering

Senior-to-principal release engineering methodology: designing and operating the pipelines, processes, artifacts, gates, compliance evidence, and metrics that move software from commit to customer safely, predictably, and fast.

Ownership

You ownYou don't own
Release process design — branch strategy, process model, release cadenceApplication feature implementation — route to backend-engineering / frontend-engineering
CD pipeline architecture — build-once promotion stages, gates, push-on-greenProduction incident root-cause debugging — route to systematic-debugging
Progressive delivery — canaries, rings, percentage rollouts, feature flagsOn-call and SLO operations — route to site-reliability-engineering
Versioning and artifacts — SemVer, conventional commits, changelogs, immutability, provenanceSecurity implementation and threat modeling — route to secure-software-engineering
Readiness and quality gates — release candidates, go/no-go, sign-offInternal developer platform construction — route to platform-engineering
Rollback and recovery planning — runbooks, rehearsals, recovery targetsData pipeline operations and schema migration engineering — route to data-engineering
Change governance and audit compliance — SOC 2 / SOX / PCI evidence chainsSpec authoring and SDD gate mechanics — route to spec-driven-development
DORA metrics — definitions, computation, thresholdsAPI contract design and versioning policy — route to api-design-and-evolution
Multi-team release coordination — trains, calendars, stabilizationEvidence collection and verdicts against explicit criteria — route to verification-methodology
Release operations — branch cuts, pipeline triage, emergency releasesRuntime monitoring and alerting — that's SRE

Core Principles

Build once, promote many. The artifact that passed every gate is the only artifact that ships. Rebuilding per environment reintroduces risk and invalidates what was verified.

Small batches ship faster and safer. Trunk-based development with frequent small merges outperforms long-lived branches on every DORA metric — deployment frequency, lead time, change failure rate, and recovery time.

Decouple deploy from release. Deploying code to production is not the same as exposing it to users. Feature flags and progressive rollout separate the two so each can happen on its own timeline and either can be reversed independently.

Automated safety beats approval bureaucracy. Evidence-based controls and pipeline gates outperform change-advisory-board sign-off, which research correlates with slower, less stable delivery. Automate the checks; reserve human approval for genuinely exceptional change.

Rehearse rollback. A rollback you haven't practiced will fail under pressure. Rollback is a first-class release artifact with its own runbook, trigger thresholds, and rehearsal log.

Verify in production. Staging parity helps, but production canaries, smoke tests, and observability gates are where readiness is actually proven. Real traffic, real telemetry, real decision points.

Protect the supply chain. Sign every artifact, record provenance and SBOM data, and treat registries as a security boundary. Integrity is part of the release, not an add-on.

DORA is a system outcome. Speed and stability emerge from how the process is designed — batch size, architecture, automation, safety culture — not from chasing metric targets.

Loading Guide

FileLoad when
references/role-and-career.mdUnderstanding the release engineering role — org placement, day-to-day, Senior/Staff/Principal leveling, and evidence separating levels
references/skills-competency-model.mdMapping the technical and professional skills release engineers master, and which ones differentiate at senior and above
references/release-process-models.mdChoosing a process model — trunk-based, GitFlow, GitHub Flow, release branches, release trains — and matching cadence to the org
references/cd-and-pipeline-stages.mdDesigning CD pipelines — build-once promotion, stage gates, push-on-green, pipeline-as-code, hermetic builds, environment parity
references/progressive-delivery.mdPlanning canary, blue/green, ring, or percentage rollouts; metric and error-budget gates; auto-rollback triggers
references/change-governance-and-compliance.mdBuilding audit-ready change control — SOC 2 CC8.1, SOX ITGC, PCI back-out, evidence chains, separation of duties, emergency change
references/readiness-and-quality-gates.mdDefining readiness dimensions, release candidates, go/no-go structure, error-budget release policy, definition of done
references/rollback-and-recovery.mdPlanning rollback vs roll-forward vs flag recovery per system type; rehearsed rollbacks; time-boxed decisions; quarantine
references/versioning-and-artifacts.mdSetting SemVer/CalVer policy, conventional commits, changelog conventions, artifact immutability and provenance
references/feature-flag-lifecycle.mdRunning flags through their full lifecycle — create, guard, rollout, verify, remove, expire — and avoiding flag debt
references/monorepo-polyrepo-release.mdChoosing mono vs polyrepo release strategy, affected-build detection, topological publish order, release tooling
references/toolchain-landscape.mdSelecting tools by category — CI/CD, release automation, artifact repos, GitOps, feature flags (2025-2026 status)
references/supply-chain-security.mdHardening the supply chain — SLSA, SBOM, sigstore keyless signing, dependency updates, provenance attestations
references/metrics-and-dora.mdDefining and computing the five DORA metrics, thresholds, vendor divergence, and measurement pitfalls
references/release-operations-and-triage.mdRunning release trains end-to-end — branch cuts, stabilization, go/no-go, pipeline triage, release infra reliability, agentic automation
templates/release-plan.mdProducing a release plan — scope, milestones, owners, risks, rollout, rollback contingency, comms
templates/release-readiness-checklist.mdRunning a readiness review — checkbox table by dimension with owner + evidence, go/no-go block
templates/rollback-runbook.mdWriting a rollback runbook — triggers, per-layer steps, verification, ordering, comms, rehearsal log
templates/release-notes.mdDrafting release notes — version, date, change-type sections, breaking changes, migration steps
templates/change-governance-record.mdRecording an audit-ready change — ticket, PR, CI runs, artifact digest, deploy timestamp, verification, emergency flag
templates/hotfix-emergency-release-plan.mdPlanning an emergency release — severity, break-glass approvals, expedited path, post-implementation review
assets/dora-metrics-reference.mdLooking up the five DORA metrics — formulas, units, data sources, thresholds, pitfalls — in one page
assets/versioning-decision-table.mdChoosing a versioning scheme — SemVer vs CalVer vs independent vs one-version, bump rules
assets/deployment-strategy-matrix.mdComparing deployment strategies — rolling, blue-green, canary, ring, flag, shadow — on speed, safety, rollback
assets/release-toolchain-cheatsheet.mdQuick tool lookup by category — one-liner and when-to-pick per tool
scripts/version_bump.pyComputing the next SemVer from conventional commits or a git range
scripts/semver_check.pyValidating, comparing, or sorting strict SemVer versions
scripts/changelog_check.pyValidating Keep a Changelog or Release Please CHANGELOG.md files
scripts/dora_metrics.pyComputing the five DORA metrics from deployment and commit event data
scripts/release_plan_scaffold.pyScaffolding a release plan document from flags or a git range
evals/evals.jsonRunning output-quality evals for this skill (schema v1, 8 cases)
Show full SKILL.md (589 more words)Show less

Adjacent Skills

  • Use qa-methodology to define test strategy, regression scope, flake policy, and quality-gate semantics. This skill combines the resulting evidence with operational and governance evidence for a release decision.
  • For AI-agent releases, use agent-evals-and-observability to design and interpret behavioral, trajectory, and model-regression evidence before incorporating it into a release gate.

Scripts

ScriptInvocationPurpose
version_bumppython3 scripts/version_bump.py --current-version 1.4.0 --git-range v1.4.0..HEADComputes the next SemVer from Conventional Commits — breaking → major (minor in 0.x), feat → minor, fix → patch; optional prerelease tag
semver_checkpython3 scripts/semver_check.py --check 1.2.3-beta.1Validates strict SemVer 2.0.0, compares two versions, or sorts a list
changelog_check`python3 scripts/changelog_check.py CHANGELOG.md [--format autokeep-a-changelog
dora_metricspython3 scripts/dora_metrics.py --events events.jsonComputes all five DORA metrics from deployment and commit event data
release_plan_scaffoldpython3 scripts/release_plan_scaffold.py --version 2.0.0 --owner alice --output plan.mdScaffolds a release plan document with filled placeholders from flags or a git range

Triggers

Load this skill when the task involves:

  • Release planning — designing a release plan, timeline, milestones, or rollout strategy
  • Pipeline design — architecting or reviewing CD pipelines, promotion stages, or push-on-green
  • Version bumps — computing the next version, SemVer validation, conventional-commit classification
  • Changelogs — authoring or validating a changelog
  • Readiness review — go/no-go calls, release candidates, readiness checklists
  • Rollback planning — writing or rehearsing rollback runbooks and recovery plans
  • Progressive delivery — canaries, rings, percentage rollouts, traffic shadowing
  • Feature flags — flag rollout, lifecycle, and cleanup
  • Release trains — calendar releases, branch cuts, stabilization windows
  • DORA metrics — defining, computing, or reporting the five DORA metrics
  • Compliance evidence — SOC 2 / SOX / PCI change records, audit trails, separation of duties
  • Artifacts and supply chain — SBOM, provenance, signing, registry hygiene
  • Emergency releases — hotfixes, break-glass changes, expedited release paths
  • Multi-team coordination — cross-team release calendars and integration stabilization

When not to use

Route to the named sibling skill instead:

  • backend-engineering / frontend-engineering — implementing application features. Release engineering designs the pipeline that ships code; it does not implement the code itself.
  • systematic-debugging — root-cause analysis of production incidents, fault localization, bug reproduction. Release engineering plans recovery; debugging finds the cause.
  • site-reliability-engineering — on-call operations, SLO/error-budget management, capacity planning, and day-to-day incident response.
  • secure-software-engineering — security implementation and threat modeling. Release engineering consumes security controls (SBOM, signing, dependency scanning) but does not design them.
  • platform-engineering — building the internal developer platform: CI infrastructure, GitOps controllers, self-service tooling, and golden paths.
  • data-engineering — data pipeline operations, schema migration engineering, and data quality monitoring.
  • spec-driven-development — writing specifications and running SDD pipeline gates and verdicts.
  • api-design-and-evolution — API contract design and versioning policy. Release engineering version-bumps artifacts; it does not set API evolution rules.
  • verification-methodology — collecting evidence and rendering verdicts against explicit pass/fail criteria.

Stop and Exit Conditions

  • Release plan complete when: the plan names version, target date, milestones and branch cut, owners (RACI), scope items, risks with mitigations, rollout plan, rollback contingency, comms plan, and sign-offs.
  • Readiness checklist complete when: every item in each dimension (functional, non-functional, operational, governance) has an owner and evidence, and a go/no-go decision is recorded.
  • Rollback runbook complete when: trigger thresholds, impact assessment, decision criteria, per-layer rollback steps, verification SLIs, rollback ordering, comms, and a rehearsal log are all in place.
  • Version bump complete when: the next version is computed from actual commit history (or an explicit file), validated against strict SemVer, and the bump rule is justified by the conventional-commit types.
  • Compliance record complete when: the change chain — ticket → PR review → CI → approval → deploy log → verification — is complete, sampled, and retained per policy, with separation of duties respected.
  • Bounded escalation: stop after three non-converging diagnostic passes and report the evidence collected so far.

© magnus919, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 41 other files (scripts, references, assets) in release-engineering of magnus919/agent-skills.

  • SKILL.md
  • README.md
  • assets/deployment-strategy-matrix.md
  • assets/dora-metrics-reference.md
  • assets/release-toolchain-cheatsheet.md
  • assets/versioning-decision-table.md
  • evals/evals.json
  • pytest.ini
  • references/cd-and-pipeline-stages.md
  • references/change-governance-and-compliance.md
  • references/feature-flag-lifecycle.md
  • references/metrics-and-dora.md
  • references/monorepo-polyrepo-release.md
  • references/progressive-delivery.md
  • references/readiness-and-quality-gates.md
  • references/release-operations-and-triage.md
  • references/release-process-models.md
  • references/role-and-career.md
  • … and 24 more

Open the folder on GitHubat commit 96fbe07

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
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Release Engineering this skillmagnus919/agent-skills113—~3.9kAutomated safety check: PassMIT
Broken API InterviewerPrepLabsAI/InterviewMentor112—~2.6kAutomated safety check: PassMIT
Devops EngineerYikai-Liao/symusic1891 repos~1.5kAutomated safety check: PassMIT
Release Itwondelai/skills2.4k—~4kAutomated safety check: PassMIT
Delivery Managerborghei/Claude-Skills881—~2.2kAutomated safety check: PassMIT
Aspiremicrosoft/aspire.dev1964 repos~1.1kAutomated safety check: PassMIT

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Questions about Release Engineering

What does Release Engineering do?

Design, automate, and operate end-to-end software releases: release process models and pipelines (trunk-based development, CD stages, release trains), progressive delivery and feature flags…. Release Engineering is an agent skill from magnus919/agent-skills. Design, automate, and operate end-to-end software releases: release process models and pipelines (trunk-based development, CD stages, release trains), progressive delivery and feature flags, versioning and artifact management (SemVer, conventional commits, changelogs, SBOM/provenance), readiness and quality gates, rollback and recovery planning, change-management and audit compliance (SOC 2, SOX, PCI), DORA metrics, and multi-team release coordination.

When should I use Release Engineering?

Release Engineering fits situations like: application feature implementation (backend-engineering/frontend-engineering); production incident root-cause debugging; on-call/SLO operations (systematic-debugging / site-reliability-engineering); security implementation.

How do I install Release Engineering in Claude Code?

Run `npx skills add magnus919/agent-skills --skill release-engineering -a claude-code`. Or copy the skill folder (release-engineering in magnus919/agent-skills) 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 magnus919/agent-skills --skill release-engineering -a codex`. Or copy the skill folder (release-engineering in magnus919/agent-skills) 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 magnus919/agent-skills --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 (python3). Our summary lists: Python 3. Compatibility (from SKILL.md): Platform-agnostic methodology. Scripts require Python 3.8+ (stdlib only). No CI platform, deployment tool, or version control mandate..

Does Release Engineering access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Release Engineering use?

Release Engineering is published under the MIT 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 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 78k tokens, read only when the agent opens those files.

What are the alternatives to Release Engineering?

Skills that share tags, products or a category with Release Engineering: Broken API Interviewer (PrepLabsAI/InterviewMentor, 112 stars), Devops Engineer (Yikai-Liao/symusic, 189 stars), Release It (wondelai/skills, 2.4k stars) and Delivery Manager (borghei/Claude-Skills, 881 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Release Engineering?

magnus919 (a GitHub user) maintains it in magnus919/agent-skills, which has 113 GitHub stars. The repository holds 115 skills in this directory. The repository was last updated on October 6, 2026.

Source: magnus919/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.