claude

delivery

Skills for getting a change into production without a bad night: separate deploy from release so the worst case is one cohort and one flag, ship a schema change to a live database without a stuck lock, run a cutover that has a point of no return, plan a platform migration that changes one thing at a time, audit a CI/CD workflow's own definition for what an attacker can reach through it, and write release notes someone can act on.

0 on GitHubby Serhii ZolotovMITupdated 2 days agodevops
/

Plugin delivery from marketplace greenblacked-ai in greenblacked/AI. Commands read from the repo's manifest — 2 days ago.

What it installs

Skills (12)

  • ai-review-integration

    Design, implement or assess an automated AI reviewer integrated with GitLab merge requests: isolate a trusted controller from contributor-controlled code and model output, pin analysis to one immutable MR version, account for every changed file despite API limits, validate structured findings, and p

  • ci-pipeline-design

    Design a CI/CD pipeline, or restructure one that grew badly: decide which checks may block a merge before drawing any stage, lay the stages out as a dependency graph so nothing waits on unused output, key caches on what actually invalidates them, choose a matrix or separate jobs, build the artefact

  • cutover

    Plan and run a high-stakes, hard-to-reverse switchover to completion — a DNS or traffic switch to a new system, a datacentre or region move, a hosting or vendor swap, a monolith-to-service carve-out with a big-bang or gradual shift, a database failover or promotion. Produces the numbered runbook wit

  • db-migration

    Ship a schema change to a live relational database without downtime, a stuck lock, or a deploy that cannot be reverted: expand, backfill in bounded batches, migrate reads, migrate writes, contract — each phase its own independently revertible deploy, every migration session carrying an explicit lock

  • feature-flag-lifecycle

    Implement and retire a feature flag safely after the rollout mechanism has been chosen. Use when wiring a flag into request, client or worker code, making subject assignment sticky, choosing safe behaviour when configuration is unavailable or stale, exercising a kill switch, proving the off path, or

  • gitops-operations

    Operate Argo CD without fighting the controller: establish which repository and generator own desired state, explain OutOfSync and drift, review rendered changes before sync, order dependencies, choose prune and self-heal policy, recover by changing Git, and verify convergence from commit to workloa

  • mobile-release

    Ship a native iOS or Android build through the app store's own phased or staged rollout, where the binary itself cannot be recalled once installed. Gate every stage on an agreed crash-free-rate comparison between the new version and the previous one at the same install age, set the halt threshold be

  • pipeline-hardening

    Harden or audit a CI workflow, GitHub Actions first, GitLab CI too: untrusted PR title, branch, comment or fork code reaching a run: step; pull_request_target, workflow_run or issue_comment plus checkout of untrusted code; token/secret reach per job; actions/tools pinned to a SHA, tag recorded; long

  • plan-platform-migration

    Plan and review migrations of production platforms, services, data, infrastructure, CI systems, observability stacks, identity systems, or developer tooling from one operating state to another. Produces a phased plan with explicit invariants, dependency and state inventories, compatibility strategy,

  • release-notes

    Turn a range of merged changes into release notes the affected reader can act on, and run the release gates: derive the range from the last shipped tag, not a date, sort entries by who is affected instead of by component, write each breaking change with its migration, cut the noise, resolve the ambi

  • release-strategy

    Get a change into production gradually, so that being wrong costs a fraction of users rather than all of them — separate deploy from release, choose the mechanism (feature flag, percentage or ring rollout, blue/green, shadow traffic) from how the change fails, design rings and bake times that cross

  • safe-backfill

    Run a standalone production data repair or reprocessing pass without losing progress or overwriting newer writes. Use when asked to fix existing records at scale, replay a bounded set of records, resume a halted repair, design a checkpointed data job, or prove that a repair actually converged. Freez

Subagents (1)

  • changelog-reader

    Read a release range — the git log, merged pull requests and commit messages since the last shipped tag — and return a classified inventory by audience, with likely breaking changes flagged and noise collapsed, so the raw history never enters the caller's context. Use when the range is bulky enough

View source on GitHub

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