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effectorjs

Design, refactor, and review Effector state management using modern v23+ patterns. Use when tasks involve createStore/createEvent/createEffect modeling, dataflow with sample/attach/split, scope-safe SSR with fork/allSettled/serialize/hydrate, React integration with useUnit, Solid/Vue integration patterns, fixing scope loss, or replacing anti-patterns such as business logic in watch, imperative calls in effects, and direct getState business reads.

72

Quality

91%

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SKILL.md
Quality
Evals
Security

Quality

Content

78%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-architected skill body that works as a router over a genuine one-level-deep reference bundle, with prescriptive, concrete guidance and a clean conditional-loading workflow. Its only weaknesses are mild redundancy across Defaults/Glossary/Guardrails and the absence of any inline executable snippet or inline validation loop, both of which are minor.

Suggestions

Trim the overlap between the 'Purity' glossary entry, the computation-priority guardrail, and the Defaults section — consolidate purity rules into one place to save tokens.

Add one minimal inline sample/attach wiring snippet (a few lines) so the body's most common pattern is copy-paste ready without opening a reference file.

State one inline validate-then-proceed checkpoint (e.g., 'run the acceptance checklist before delivering') so the feedback loop doesn't depend solely on checklists.md being loaded.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — no padding explaining what Effector is, and the glossary encodes genuinely non-obvious semantic constraints ('Derived store constraints: do not mutate directly and do not use as target in sample'). Minor redundancy between the 'Purity' glossary entry, the 'Respect computation priority' guardrail, and the Defaults section keeps it just below every-token-earns-its-place.

4 / 5

Actionability

Directives are specific and executable ('Connect units with sample first; use attach for effect composition', 'Keep sample/guard options in semantic order: clock -> source -> filter -> fn -> target') with a concrete output contract and legacy-migration steps. It falls short of the top anchor only because the body contains no inline copy-paste-ready code — the details are delegated to reference files by design.

4 / 5

Workflow Clarity

A clear 4-step sequence (classify request, load only required references, build solution in order, produce output contract) with explicit conditional loading rules and an acceptance checklist ('End with references/checklists.md for acceptance criteria') plus legacy parity tests ('Add tests that prove parity before cleanup'). Not a 5 because validate-fix-retry feedback loops are delegated to the checklist file rather than stated as inline checkpoints.

4 / 5

Progressive Disclosure

The body is a concise router: all 10 referenced files (core-patterns.md, lint-derived-best-practices.md, explicit-start.md, computation-priority.md, react-ssr-scope.md, solid-scope.md, vue-scope.md, anti-patterns-and-fixes.md, legacy-migration-map.md, checklists.md) verified to exist, each with explicit conditional-load criteria, and references are exactly one level deep with no nested references inside the bundle files. This matches the clear-overview anchor with well-signaled navigation.

5 / 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 excellent description: third-person, concrete, and comprehensive. It states what the skill does and gives an explicit 'Use when' clause full of specific API-level trigger phrases users would naturally say, with essentially no overlap risk against other skills.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions ('Design, refactor, and review Effector state management') plus comprehensive specific capabilities — createStore/createEvent/createEffect modeling, dataflow with sample/attach/split, scope-safe SSR with fork/allSettled/serialize/hydrate, React/Solid/Vue integration, and anti-pattern replacement — matching the comprehensive-coverage anchor.

5 / 5

Completeness

It explicitly answers both 'what' (design, refactor, and review Effector state management using modern v23+ patterns) and 'when' via the explicit 'Use when tasks involve...' clause with concrete trigger phrases — the exact shape of the top anchor example.

5 / 5

Trigger Term Quality

Natural terms a real user would say are comprehensively covered: 'Effector', 'state management', 'createStore/createEvent/createEffect', 'sample/attach/split', 'SSR', 'useUnit', 'scope loss', 'business logic in watch', 'imperative calls in effects', 'direct getState'. These API-level terms are exactly what Effector users mention when asking for help.

5 / 5

Distinctiveness Conflict Risk

It occupies a clear niche with library-specific trigger terms (useUnit, fork/allSettled/serialize/hydrate, sample/attach/split) that no other state-management skill would claim, giving minimal conflict risk.

5 / 5

Total

20

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

aiko-atami/effectorjs-skills

Path

skills/effectorjs/SKILL.md

Reviewed

Table of Contents

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