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plan-change

Skill1 starsChanged 2 months agoMITView on GitHub

Bound the causal impact of a non-trivial software change before editing. Use after enough understanding exists to identify the intended mechanism, affected components, contracts, state/data-flow effects, non-goals, and verification path so wrong-direction or collateral changes are caught before implementation.

11 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use security-review.

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.
  • SentrySkill

    security-review

    Finds exploitable application security vulnerabilities in code changes. Use for Warden security scans, appsec review, OWASP-style checks, authentication or authorization bugs, injection, XSS, SSRF, path traversal, secrets, unsafe crypto, webhook verification, open redirects, or sensitive data exposure.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

11 rules. 0 are common, 11 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 10 edited versions we read keep these.

  • 11

    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:

    Create a change boundary, not a generic todo list.

    line 13
  2. Distinctive:

    If the mechanism is not understood well enough to state this, investigate or diagnose first.

    line 46
  3. Distinctive:

    no public API redesign;

    line 86
  4. Distinctive:

    no unrelated naming cleanup.

    line 87
  5. Distinctive:

    no replacement of an existing abstraction unless causally required.

    line 89
  6. Distinctive:

    Prefer steps that expose wrong assumptions early.

    line 95
  7. Distinctive:

    add/adjust a focused test before broad refactoring.

    line 100
  8. Distinctive:

    Do not hard-code project commands.

    line 108
  9. Distinctive:

    If implementation discovers a need to change a new public contract, dependency, architecture boundary, or consequential resource …

    line 118
  10. Distinctive:

    Prefer a concise plan:

    line 122
  11. Distinctive:

    Do not plan implementation line-by-line when the code itself is the cheaper and clearer representation.

    line 149

“Common” is measured: kept by at least 6 in 10 of the 10 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

Plan Change

Create a change boundary, not a generic todo list.

This Skill exists only while it provides non-trivial value beyond an agent's ordinary planning ability. Keep it focused on impact, contracts, and causal scope.

Entry condition

Use when:

  • the change is non-trivial or spans multiple files/components;
  • public behavior, state, lifecycle, concurrency, persistence, dependencies, or resources may change;
  • a wrong implementation direction would be expensive;
  • a bug fix has an established causal model and is ready for repair.

Skip for obvious, low-risk edits where the plan would merely restate the task.

Method

1. Restate the causal intent

State what mechanism or behavior must change and why.

For a feature:

Current behavior -> desired behavior

For a bug:

Established cause -> causal repair

If the mechanism is not understood well enough to state this, investigate or diagnose first.

2. Identify the expected change surface

List only areas that have a causal reason to change.

For each important area, explain why it belongs in scope.

Consider:

  • files/components;
  • public/private interfaces;
  • state machines;
  • data flow;
  • ownership/lifetime;
  • async/concurrency boundaries;
  • persistence/data formats;
  • dependencies/resources;
  • configuration;
  • tests/verification hooks.

3. Identify contracts and constraints

Make externally meaningful boundaries explicit when relevant:

  • compatibility requirements;
  • API/error semantics;
  • data/protocol format;
  • ordering/timing guarantees;
  • memory/resource budgets;
  • safety/security constraints;
  • domain-pack rules;
  • accepted human decisions.

4. State non-goals

Name tempting nearby work that should not be included.

Examples:

  • no public API redesign;
  • no unrelated naming cleanup;
  • no directory reorganization;
  • no replacement of an existing abstraction unless causally required.

Non-goals are useful when they prevent scope drift; do not invent ceremonial non-goals for tiny tasks.

5. Order implementation around risk

Prefer steps that expose wrong assumptions early.

Examples:

  • change one underlying invariant before all callers;
  • add/adjust a focused test before broad refactoring;
  • separate compatibility migration from cleanup;
  • validate a hardware/protocol assumption before writing the full path.

6. Define verification before editing

Identify the strongest relevant checks that should demonstrate success.

Do not hard-code project commands. Use available project capabilities.

For bug fixes, include:

  • original failing condition;
  • causal verification when feasible;
  • nearby regression surface.

7. Reassess on scope expansion

If implementation discovers a need to change a new public contract, dependency, architecture boundary, or consequential resource assumption, stop and update the plan. Use a Decision Gate when the expansion changes an accepted tradeoff or boundary.

Output

Prefer a concise plan:

## Intent
...

## Change surface
- component/file — causal reason

## Contracts / constraints
...

## Non-goals
...

## Execution order
1. ...
2. ...

## Verification
...

Stop condition

The plan is ready when an implementer can make the bounded change without rediscovering the core intent, hidden contract, or verification strategy.

Do not plan implementation line-by-line when the code itself is the cheaper and clearer representation.

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