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Review recently changed files for reuse, quality, and efficiency issues, then fix them. Use after completing a change, before declaring done.
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Baseado na classificação ocupacional SOC
Build a personalized learning roadmap with milestones and practice checkpoints
Structured document review for structure, clarity, and technical accuracy. Use for "review this doc", feedback, critique, or /doc-review.
Render a documentation-style Cursor Canvas that organizes architecture notes, API references, walkthroughs, and how-tos into a navigable layout with sections, tables of contents, and cross-references. Use when the user asks for a docs canvas, documentation overview, architecture walkthrough, API reference page, or wants to render structured documentation as an interactive canvas.
Conductor/subagent routing for tasks across multiple harnesses. Assesses task complexity and intent, then dispatches to the appropriate subagent model via a harness-specific adapter. Supports Anthropic (Claude), Cursor, OpenCode, Codex (OpenAI), and Pi adapters. Use via /dynamic-task command or direct invocation from other skills.
Agent evaluation framework. Measure agent performance, identify weaknesses, and track improvement over time. Use when assessing agent quality, comparing approaches, or validating changes.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when the user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
| name | simplify |
| description | Review recently changed files for reuse, quality, and efficiency issues, then fix them. Use after completing a change, before declaring done. |
| metadata | {"category":"user-invoked"} |
| disable-model-invocation | true |
Default output: return only the result, blockers, and required evidence. Omit preambles, process narration, repeated context, confidence scores, and follow-up offers. Use at most five bullets unless a required artifact or schema needs more.
This is an expanded profile of code-simplification that adds multi-agent parallel review. For the canonical simplification workflow, see skills/code-simplification/SKILL.md.
git diff --stat| Agent | Focus | Finds |
|---|---|---|
| Code Reuse | Duplication | Repeated logic, extractable functions, copy-paste patterns |
| Quality | Complexity | Dead code, poor naming, deep nesting, missing error handling |
| Efficiency | Performance | Redundant allocations, unnecessary iterations, missing caches |
Pass a focus argument to weight the matching agent higher:
memory efficiencyreadabilityreducing duplicationperformanceerror handlingcode-simplification — Canonical simplification skillcode-review-and-quality — Multi-axis code reviewtext-cleanup — AI verbosity removal (different from code simplification)| Excuse | Counter |
|---|---|
| "The multi-agent review is overkill for small changes" | Small changes can hide duplication and inefficiency. Parallel review catches what single review misses. |
| "I'll skip the efficiency agent, readability is enough" | Performance regressions creep in silently. The efficiency agent catches them before they compound. |
| "Aggregating findings takes too long" | Unaggregated findings lead to conflicting fixes. Deduplicate and prioritize before applying. |
| "I'll simplify test code too" | Test code prioritizes clarity over brevity. Do not simplify tests for the sake of fewer lines. |
| "The confidence score is just a number" | Confidence scores flag areas that need human review. Low confidence means "look closer." |