Agent Change Walkthrough Skill
Purpose
Generate a single-story walkthrough of AI-authored code changes explaining implementation from trigger to final behavior.
Core Method
Follow six steps:
- Capture intent — Restate the change in plain language with scope and non-goals
- Build evidence — Collect git diffs using
git status,git diff,git show - Build story stack — Order steps dependency-first (contracts/types before usage, definitions before invocations)
- Write narrative — Each step: clear title, CHANGED/UNCHANGED marker, filename with line number, code snippet, prose explanation
- Integrate analysis — Add trade-offs, alternatives, performance notes, and risks inline at relevant steps
- Close out — Summarize what changed, why behavior differs, what to monitor
Key Principles
- Show dependency order first, then runtime flow
- No forward references (define before using)
- Use mini-diff snippets for changes
- Include sanitized example input/output for data-shape changes
- Embed analysis naturally in prose, not rigid templates
- Never include conversation process as walkthrough steps
- No credentials, keys, or sensitive data in output
Output Structure
# Implementation Walkthrough
[Setup paragraph with intent + scope]
## Step 1 — [behavior description] [UNCHANGED CONTEXT | CHANGED]
Filename: `path/to/file.ext:line`
[code snippet]
[prose explanation]
## Step N — ...
## Final Outcome
[summary of changes and next validation steps]
Trace from runtime trigger to observable behavior as one coherent story.