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HenryCordesHenryCordes/ai-engineering-workflow/.claude/skills/safe-rollout/SKILL.md

safe-rollout

Skill0 starsChanged 4 months agoMITView on GitHub

Use when shipping a risky or wide-reaching change (data migration, shared-component change, behaviour swap) that needs to go out gradually with a rollback path. Produces a phased rollout plan behind a flag.

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    1. Mehul72/skills★ 1same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository6 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Define rollback: before enabling: flipping the flag off must fully restore the old behaviour, with no data left in a bad state.

    line 26
  2. Distinctive:

    Leave a flag and dead code path lingering after 100% — clean it up.

    line 35

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Safe Rollout

Overview

For changes that could break many call sites or users, ship behind a flag and roll out in phases with a clear rollback at every step. Never flip a risky change on for everyone in one commit.

Workflow

  1. Assess blast radius — list every caller / surface the change touches. If it needs strong cross-entity consistency, keep it in one unit rather than spreading it.
  2. Gate behind a flag — default OFF. Old path stays byte-identical when the flag is off (document this in a backwards-compatibility note).
  3. Phase the rollout:
    • Internal / staging only.
    • Small percentage of production.
    • Ramp up while watching metrics.
    • 100%, then remove the flag and dead path in a follow-up.
  4. Define rollback before enabling: flipping the flag off must fully restore the old behaviour, with no data left in a bad state.
  5. Watch — name the metrics/logs that tell you it's working (error rate, latency, the specific user outcome).

Do not

  • Enable a risky change globally in one step.
  • Ship without a documented, tested rollback.
  • Leave a flag and dead code path lingering after 100% — clean it up.

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