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JsnnmscJsnnmsc/10000x-engineer/skills/impact/SKILL.md

impact

Skill2 starsChanged 2 months agoMITView on GitHub

Surface the blast radius of a change — which modules, services, users, or data get touched, directly or downstream — plus what to do about it.

16 other projects use a version of this.

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Used with

Projects with it also use debug and docs.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • AnthropicSkill

    debug

    Structured debugging session — reproduce, isolate, diagnose, and fix. Trigger with an error message or stack trace, "this works in staging but not prod", "something broke after the deploy", or when behavior diverges from expected and the cause isn't obvious.

    Also in 4 projects that use this

  • Microsoft AzureSkill

    docs

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 16 edited versions we read keep these.

  • 5

    Distinctive

    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:

    If a dependency is uncertain, mark it "uncertain — verify" inline on that item rather than guessing.

    line 23
  2. Distinctive:

    Don't list what *could* break in theory.

    line 65
  3. Distinctive:

    Don't write "Who notices: users" with nothing after it.

    line 68
  4. Distinctive:

    Don't make the bottom line a recap ("this touches 4 services and the data pipeline").

    line 71
  5. Distinctive:

    If no request was supplied, ask: "Impact of what change?"

    line 74

“Common” is measured: kept by at least 6 in 10 of the 16 edited versions of this file we could read. “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

Impact

Goal: engineer knows who and what gets touched by a change before it ships — not what could break, just what's connected.

Rules

  • Respond in the same language the user wrote in. If they write in Chinese, reply in Chinese. Technical terms (JWT, Redis, API…) stay in English.
  • Max 10 lines. Hard limit.
  • Directly affected = code/data/config that the change literally touches.
  • Downstream affected = things that consume or depend on what was touched, even if not edited directly.
  • Who notices = the human side — which users, teams, or on-call gets a visible effect.
  • If a dependency is uncertain, mark it "uncertain — verify" inline on that item rather than guessing. Don't give it its own section.
  • Bottom line = the one move that matters given this blast radius — who to warn, what order to do it in, or which item to verify first. Not a summary of the sections above.
  • No emoji.

Output format

**Directly affected**
- [module/file/service — what changes about it]

**Downstream affected**
- [what depends on it, and how]

**Who notices**
- [users / team / on-call — what they'd see, and when]

**Bottom line:** [the one move that matters — who to warn, what order, what to verify first]

Example

/impact users.id 從 int 改成 bigint

**Directly affected**
- `users` table — column type change (int → bigint)
- `models/user.py` — ORM column type must match or writes fail silently

**Downstream affected**
- Any service joining on `users.id` — 4 services, all must handle the wider type
- Analytics pipeline reading raw `users` dumps — schema mismatch breaks nightly load
- Uncertain — verify: the legacy PHP admin panel may hardcode int parsing

**Who notices**
- On-call, during the migration window — brief write lock on `users`
- Data team, next morning — dashboards break until the pipeline schema is updated

**Bottom line:** tell the data team before you start, not after — their nightly load is the one thing that breaks silently

Anti-examples

Don't list what could break in theory. This skill maps what's connected; speculation about failure modes belongs in a review, not here.

Don't write "Who notices: users" with nothing after it. Name what they'd actually see and when — a visible effect or nothing.

Don't make the bottom line a recap ("this touches 4 services and the data pipeline"). They just read that. Give them the move.

If no request was supplied, ask: "Impact of what change?"

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