Fix Visual Diff Tasks Without Redesign: Meet visual-diff-fix

Where this fits

After your agent runs a visual acceptance review, it often produces a fix-tasks.json with a list of specific, structured diff tasks. Manually applying those fixes risks introducing unrelated changes or breaking the design system. This skill automates the correction loop: it reads the diff tasks, applies only the listed fixes, validates each batch, and outputs a resolution report—so your agent can close the gap between visual spec and implementation without redesigning anything.

Why agents benefit

• Strict scope control: The skill only touches elements explicitly listed in fix-tasks.json, preventing off‑target edits and refactors.
• Contract preservation: It respects source‑of‑truth files like tokens.json and DESIGN.md, ensuring the visual system stays consistent.
• Batch validation: Each fix batch is validated against the acceptance criteria, catching regressions early.
• Structured output: Generates a resolved‑task report that feeds back into your review pipeline, making the loop auditable.
• Deterministic behavior: Because it follows a fixed workflow, agents produce repeatable results across runs.

Practical scenarios

Fixing spacing inconsistencies after a design token update

Your agent updated tokens.json to new spacing values, but several components still use hard‑coded margins. The visual review flags 12 diffs. visual-diff-fix applies only those margin changes, verifies no other layout shifts occur, and reports which tasks passed.

Aligning component styles across responsive breakpoints

A mobile layout has a button that overflows its container at 360px width. The diff task specifies a new padding and font size. The skill updates the CSS, runs a local visual check, and confirms the fix without touching desktop styles.

Recovering from a failed visual acceptance without full redesign

Your agent's initial implementation missed several alignment details. Instead of regenerating the whole UI, the skill processes the fix-tasks.json from the review, applies the precise corrections, and re‑validates—so the next review round passes with minimal churn.

Add it to your agent workflow

Install the skill with:

npx skills add Jason904/ui-skill-lab --skill visual-diff-fix

Then point your agent to the generated fix-tasks.json:

argument: "ui/07_validation/visual_acceptance/fix-tasks.json"

The skill will apply the fixes, validate each batch, and write a resolved-fix-tasks.json report.

Compare before adopting

Before integrating, compare it against manual fix scripts or other visual‑fix skills. Look at quality signals: the repository's star count (154), version history, and how often it's updated. Check if the skill's input/output format matches your existing visual-acceptance-review output. Also evaluate whether the strict scope fits your team's tolerance for automated UI changes—this skill is deliberately conservative, so it won't handle creative redesigns.

Why it is worth tracking

This skill addresses a real pain point in agent‑driven UI development: applying visual corrections without breaking the design system. Its structured approach and validation steps make it a reliable component in a larger agent workflow. As the community around agent skills grows, keeping an eye on this skill—and its parent repo—helps you spot patterns for safe, contract‑preserving automation. For a detailed breakdown and usage examples, see the skill's page on OpenAgentSkill. Evaluate it when your visual acceptance loop starts producing fix tasks that need deterministic, non‑destructive resolution.