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algolia-search

Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning

45

Quality

48%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/antigravity-awesome-skills-claude/skills/algolia-search/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

42%

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

The skill excels at actionability with comprehensive, executable code examples covering the full Algolia integration surface area. However, it is severely bloated — the monolithic structure with all patterns inline, empty Sharp Edges stubs, and redundant Validation Checks that echo anti-patterns make it extremely token-inefficient. The content would benefit greatly from splitting into separate files (e.g., indexing.md, security.md, relevance.md) with a concise overview in SKILL.md.

Suggestions

Split the 7 detailed pattern sections into separate referenced files (e.g., patterns/react-instantsearch.md, patterns/indexing.md) and keep only a concise overview with links in SKILL.md

Either flesh out the Sharp Edges section with actual explanations and mitigation steps, or remove it entirely since the anti-patterns in each section already cover the same ground

Remove the Validation Checks section or consolidate it with anti-patterns — it duplicates information already present in each pattern's Anti_patterns subsection

Cut introductory lists (key hooks, widget types, key types) that Claude already knows, and let the code examples demonstrate usage directly

DimensionReasoningScore

Conciseness

The skill is extremely verbose at ~500+ lines, with significant redundancy across sections. The Sharp Edges section lists items with severity but no actual content/explanation. The Validation Checks section repeats anti-patterns already covered. Lists of hooks, widget types, and key types are things Claude already knows. Much could be condensed.

1 / 3

Actionability

The code examples are fully executable, copy-paste ready TypeScript/React code with proper imports, environment variable usage, and realistic patterns. Examples cover client setup, indexing, security, configuration, faceted search, and autocomplete with complete implementations.

3 / 3

Workflow Clarity

Individual sections are clear about what to do, and the full reindex example shows a multi-step atomic swap process. However, there's no overall workflow for setting up Algolia from scratch (configure → index → search), and the Sharp Edges / Validation Checks sections are stub-like with no actionable recovery steps or validation commands.

2 / 3

Progressive Disclosure

The entire skill is a monolithic wall of text with no bundle files to offload detailed content. All seven major patterns with full code examples are inline, making this extremely long. The Sharp Edges section has 10 items that are just titles with severity levels and no content. There are no references to separate files for detailed API references, examples, or configuration guides.

1 / 3

Total

7

/

12

Passed

Description

54%

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

The description benefits from strong, specific product-level terminology (Algolia, React InstantSearch) that makes it distinctive and includes good trigger terms. However, it lacks a 'Use when...' clause and reads more like a topic list than a description of concrete capabilities, significantly hurting its completeness and specificity scores.

Suggestions

Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about Algolia search setup, configuring search indices, building search UIs with React InstantSearch, or tuning search relevance.'

Replace abstract topic areas with concrete actions, e.g., 'Configures Algolia search indices, builds faceted search UIs with React InstantSearch, sets custom ranking rules, and tunes relevance settings.'

DimensionReasoningScore

Specificity

Names the domain (Algolia search) and some actions/areas like 'implementation', 'indexing strategies', 'React InstantSearch', and 'relevance tuning', but these are more like topic areas than concrete actions. It doesn't list specific operations like 'configure search indices', 'build faceted search UI', or 'set ranking rules'.

2 / 3

Completeness

Describes the 'what' at a high level but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per the rubric, a missing 'Use when...' clause caps completeness at 2, and the 'what' itself is also somewhat weak, making this a 1.

1 / 3

Trigger Term Quality

Includes strong natural keywords users would say: 'Algolia', 'search', 'indexing', 'React InstantSearch', and 'relevance tuning'. These are terms developers would naturally use when seeking help with Algolia integration.

3 / 3

Distinctiveness Conflict Risk

Algolia is a very specific product/service, and the combination of 'Algolia', 'React InstantSearch', and 'relevance tuning' creates a clear niche that is unlikely to conflict with other skills.

3 / 3

Total

9

/

12

Passed

Validation

81%

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

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (925 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

9

/

11

Passed

Repository
sickn33/antigravity-awesome-skills
Reviewed

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