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improve-react

Survey a whole React codebase as a senior React engineer, using React Doctor's scan as evidence, then produce a prioritized audit and self-contained implementation plans for other agents (or cheaper models) to execute. Read-only on source code — it plans improvements, it does not apply them. Use when the user asks to "improve the React code", "audit this codebase", "make this app faster / more robust", or wants a roadmap of fixes rather than a review of a single diff. For a regression check or a fix-it-now pass, use the `react-doctor` skill instead.

72

Quality

90%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

81%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-engineered advisor skill body: lean, opinionated, and driven by concrete commands, tables, and hard rules, with an explicitly validated multi-phase workflow. The only real weaknesses are mild persona padding, a subagent-prompt spec given as requirements rather than a template, and bundle references (AUDIT.md, PLAN-TEMPLATE.md) that do not resolve within the provided files.

Suggestions

Replace the 'Operating Posture' persona prose with a compact list of the leverage heuristics it gestures at, and consolidate the read-only rule into Hard Rules instead of restating it in the intro and Phase 1.

Provide the Phase 2 subagent prompt as a verbatim template block (as Hard Rule 4 already is), so the executor does not have to assemble it from a requirements list.

Ensure AUDIT.md and PLAN-TEMPLATE.md ship in the skill bundle next to SKILL.md so the two load instructions resolve for executors that only receive the bundle.

DimensionReasoningScore

Conciseness

The body is dense and assumes React competence — no space is wasted explaining what hooks or memoization are, and every section carries operational weight. It stops short of a 5 because of atmospheric padding ('with a brutal eye for what ships to users', the 'Operating Posture' persona prose) and repeated assertions of read-only-ness across the intro, Hard Rules 1–2, and Phase 1.

4 / 5

Actionability

Concrete copy-paste commands appear throughout: 'npx react-doctor@latest --json --json-out react-doctor-report.json', 'npx react-doctor@latest rules explain <rule>', 'git rev-parse --short HEAD', 'npx react-doctor@latest --scope changed', plus the canonical fix URL pattern and explicit output table formats. Minor gaps keep it at 4: the subagent prompt is specified as a list of requirements rather than a verbatim template, and the JSON report cleanup ('delete it when done') has no command.

4 / 5

Workflow Clarity

Four clearly sequenced phases (recon → parallel audit → vet/prioritize → plans) with explicit validation checkpoints: Phase 3 mandates re-reading cited code ('Never present a finding you haven't confirmed at its file:line'), rejection criteria for by-design/duplicate/over-reported findings, a stop-and-wait user checkpoint, and mechanical plus behavioral verification steps baked into every plan. The effort-level table and invocation-variant table make scaling unambiguous.

5 / 5

Progressive Disclosure

The body is a genuine overview that delegates the rule catalog to [AUDIT.md](AUDIT.md) and the plan format to [PLAN-TEMPLATE.md](PLAN-TEMPLATE.md), both one level deep and clearly signaled at point of use ('Load them when you audit and when you write plans'). Not a 5 because the two referenced files are not present in the bundle alongside SKILL.md, so the load instruction cannot be verified against actual content.

4 / 5

Total

17

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

An exemplary description: third-person, concrete, comprehensive on both what and when, with natural quoted trigger phrases and explicit disambiguation from the sibling react-doctor skill. Every clause earns its place.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — 'Survey a whole React codebase', 'using React Doctor's scan as evidence', 'produce a prioritized audit and self-contained implementation plans for other agents (or cheaper models) to execute' — with an explicit read-only scope ('it plans improvements, it does not apply them'). Coverage is comprehensive for what the skill does.

5 / 5

Completeness

Both 'what' (survey, prioritized audit, self-contained plans, read-only) and 'when' are explicitly answered with concrete trigger phrases ('Use when the user asks to...'), plus an explicit anti-trigger ('For a regression check or a fix-it-now pass, use the `react-doctor` skill instead').

5 / 5

Trigger Term Quality

It quotes natural phrases a user would actually say: "improve the React code", "audit this codebase", "make this app faster / more robust", and "a roadmap of fixes rather than a review of a single diff". These cover the improvement, audit, performance, and roadmap framings users naturally reach for.

5 / 5

Distinctiveness Conflict Risk

It carves out a clear niche (read-only React improvement planning) and actively disambiguates from the nearest neighbor: 'For a regression check or a fix-it-now pass, use the `react-doctor` skill instead.' Minimal risk of triggering the wrong skill.

5 / 5

Total

20

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 4 missing

Warning

Total

15

/

16

Passed

Repository
millionco/react-doctor
Reviewed

Table of Contents

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