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algolia-search

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

53

Quality

60%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./skills/algolia-search/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

51%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.

The body is an exemplary thin pointer — lean, well-structured, with a clean one-level reference — but it offloads all actionable and workflow detail to the guide, leaving the SKILL.md itself with minimal concrete guidance or sequenced steps.

Suggestions

Add a brief quick-start snippet or 2-3 concrete steps inline so the skill is actionable without immediately loading the guide.

Surface a short validation checkpoint sequence (e.g. verify index config → test query relevance → check facet counts) so the workflow is legible at the top level.

Condense the repetitive "User mentions or implies:" trigger list into a single comma-separated line or compact list to trim tokens.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence, but the "When to Use" list repeats the stem "User mentions or implies:" nine times, which could be condensed — matching the 4 anchor's "efficient, minor instances that could be trimmed."

4 / 5

Actionability

The body gives only a high-level directive ("Read [the detailed guide] before executing this skill") and no concrete code, commands, or steps for the actual Algolia task, matching the 2 anchor's "minimal concrete guidance; high-level hints but missing specific steps."

2 / 5

Workflow Clarity

No sequenced workflow appears in the body; it delegates the entire procedure to the referenced guide, leaving only a rough "read guide then execute" direction with checkpoints implied rather than stated, fitting the 2 anchor.

2 / 5

Progressive Disclosure

The body is a clear, well-sectioned overview (Detailed Guide, When to Use, Limitations) with a single well-signaled one-level-deep reference to references/detailed-guide.md, which exists as a real bundle file — matching the 5 anchor for a sub-50-line skill.

5 / 5

Total

13

/

20

Passed

Description

70%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.

The description is specific and well-targeted to a clear Algolia niche, but it lacks an explicit "Use when..." trigger clause, which caps completeness. Adding a when-to-use phrase would lift it into the top tier.

Suggestions

Append an explicit trigger clause, e.g. "Use when implementing Algolia search, indexing records, or building React InstantSearch UIs."

Fold in common synonyms from the body (typeahead, autocomplete, faceted search) so the description's keywords match what users actually say.

Lead with concrete verbs (e.g. "Implement, index, and tune Algolia search...") to push specificity from topic-listing toward action-listing.

DimensionReasoningScore

Specificity

Names the Algolia domain plus several specific areas — "search implementation, indexing strategies, React InstantSearch, and relevance tuning" — but these are topic areas rather than the concrete verb-driven actions (e.g. extract, fill, merge) seen in the 5 anchor, so it sits above the 3 anchor and below 5.

4 / 5

Completeness

Provides a clear "what" but no "Use when..." clause or explicit trigger guidance in the description, so per the rubric's boundary guidance completeness is capped at 3.

3 / 5

Trigger Term Quality

Includes natural terms a user would say ("Algolia search", "React InstantSearch", "indexing", "relevance tuning") but omits common synonyms that appear in the body like typeahead, autocomplete, and faceted search, matching the 4 anchor's "good coverage, a few natural terms missing."

4 / 5

Distinctiveness Conflict Risk

Algolia and React InstantSearch are product-specific triggers giving this a clear niche with minimal conflict risk against generic search skills, matching the 5 anchor.

5 / 5

Total

16

/

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
sickn33/agentic-awesome-skills
Reviewed

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