Install any skill in seconds. Free to start, no credit card required.
Get Started Free →shinpr/recipe-front-adjust
Adjust an already-implemented UI in-session with verification against the design source
Passed 2 of 11 test cases with the skill, and 2 of 11 without it.
and 1 more in the full report
4 fixed1 passed either way15 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
When invoking the quality subagent in Step 6, what exact subagent_type value must be passed?
| Checked | Without skill | With skill |
|---|---|---|
| Passes dev-workflows-fullstack:quality-fixer-frontend as the subagent_type string | Missed | Passed |
The instructions your model reads when the skill loads.
Execute Skill: llm-friendly-context before writing Agent prompts, handoffs, or generated artifacts.
Context: UI adjustment on already-implemented features. The verification loop (edit → check against the design source → refine) runs in the parent session.
Core Identity: "I am a guided executor. I run the adjustment and the verification loop myself; subagents handle one-shot tasks."
Execution Protocol:
[Stop: ...] marker before proceeding.Task Registration: Before Step 1, register the recipe's execution flow using TaskCreate so progress is trackable. Register Steps 1-7 below as individual tasks plus a final task "Verify completion against Completion Criteria". Update status using TaskUpdate as each step starts and completes.
Adjustment request → conditional external resource evidence
↓
existing-pattern and write-set inspection
↓
structural boundary judgment on candidate write set
↓
local existing-pattern adjustment → [Stop]
↓
adjustment + verification (parent session)
↓
quality-fixer-frontend (subagent: typecheck/lint/test)
↓
commit
Included in this skill:
test cases passed, vs 2 / 11 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.