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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

87%

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SKILL.md
Quality
Evals
Security

Quality

Content

75%Scale 1-5

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

This is a well-structured, domain-specific skill that demonstrates strong organization and clear conditional reference loading. Its main strengths are the precise workflow classification, comprehensive guardrails that encode real Effector anti-patterns, and thoughtful progressive disclosure via reference files. The primary weakness is the absence of inline executable code examples — even one or two sample/attach snippets would significantly boost actionability — and the lack of explicit validation checkpoints in the workflow.

Suggestions

Add 1-2 inline executable code snippets showing a basic sample wiring and an attach composition to make the 'Build solution' step more immediately actionable.

Add an explicit validation/verification step in the workflow, e.g., 'Run lint checks against eslint-plugin-effector rules before finalizing output' to close the feedback loop.

DimensionReasoningScore

Conciseness

The content is mostly efficient and avoids explaining basic concepts Claude already knows. The Glossary Alignment section, while useful for terminology consistency, includes some definitions (like what a Unit or Reducer is) that border on unnecessary for Claude. The Guardrails section is dense but each rule earns its place. Minor tightening possible in the glossary.

4 / 5

Actionability

The skill provides concrete, specific guidance: clear workflow steps, explicit naming conventions ($store, eventHappened, someFx), specific API preferences (sample over forward/guard), and a defined output contract. However, it lacks executable code examples — no sample/attach/split snippets are shown inline, which would make it more immediately actionable. The guidance is specific enough to act on but not copy-paste ready.

4 / 5

Workflow Clarity

The four-step workflow (classify → load references → build solution → produce output) is clearly sequenced and logical. The reference-loading step has clear conditional triggers. The build-solution step has a sensible ordering. However, there are no explicit validation checkpoints or feedback loops (e.g., 'validate the model topology before wiring' or 'if lint checks fail, revisit step 3'). The output contract partially serves as a checklist but lacks explicit verification steps.

4 / 5

Progressive Disclosure

The skill references 9 separate reference files with clear conditional loading rules, which is excellent progressive disclosure design. References are one level deep and well-signaled with specific trigger conditions. However, since no bundle files were provided, we cannot verify these references actually exist. The SKILL.md itself is well-structured with clear sections (Workflow, Defaults, Glossary, Guardrails, Legacy Handling) that serve as a navigable overview.

4 / 5

Total

16

/

20

Passed

Description

100%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.

This is an excellent skill description that comprehensively covers the Effector state management domain with highly specific API references, concrete actions, and explicit trigger guidance. It uses proper third-person voice, includes a well-structured 'Use when' clause with numerous concrete scenarios, and is clearly distinguishable from any other state management skill. The description balances thoroughness with clarity despite covering a complex domain.

DimensionReasoningScore

Specificity

The description lists numerous concrete actions (design, refactor, review) and specific technical capabilities (createStore/createEvent/createEffect modeling, dataflow with sample/attach/split, scope-safe SSR with fork/allSettled/serialize/hydrate, React/Solid/Vue integration, fixing scope loss, replacing anti-patterns). Coverage is comprehensive across the Effector ecosystem.

5 / 5

Completeness

Clearly answers both 'what' (design, refactor, and review Effector state management using modern v23+ patterns) and 'when' (explicit 'Use when' clause listing specific trigger scenarios like createStore/createEvent modeling, dataflow patterns, SSR concerns, framework integration, fixing anti-patterns). The 'when' clause is detailed and concrete.

5 / 5

Trigger Term Quality

Excellent coverage of natural trigger terms a developer would use: 'Effector', 'createStore', 'createEvent', 'createEffect', 'sample', 'attach', 'split', 'fork', 'allSettled', 'serialize', 'hydrate', 'useUnit', 'SSR', 'scope loss', 'watch', 'getState'. These are precisely the terms developers would mention when seeking help with Effector state management.

5 / 5

Distinctiveness Conflict Risk

Highly distinctive with a clear niche: Effector v23+ state management. The specific API names (createStore, createEvent, sample, attach, fork, useUnit) and anti-pattern references make it virtually impossible to confuse with other state management skills (Redux, MobX, Zustand, etc.).

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
aiko-atami/effectorjs-skills
Reviewed

Table of Contents

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