algolia-search

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

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

68%

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

The content is highly actionable with complete, executable code and well-formed anti-pattern/fix guidance, but it is verbose and monolithic, packing all pattern examples into a single long SKILL.md without bundle-file offloading or explicit validation feedback loops for batch/destructive indexing operations.

Suggestions

Add explicit validation checkpoints to indexing/reindex workflows (e.g., check operation status/task ID, verify record count before atomic moveIndex swap, retry on rate-limit) to support a feedback loop for destructive and batch operations.

Move the large per-pattern code examples into one-level-deep reference files (e.g., references/indexing.md, references/ui-widgets.md) and keep SKILL.md as a concise overview with clearly signaled links, to reduce the monolithic wall of code.

Trim repeated client-setup blocks and introductory lines that restate what each pattern does, since Claude already knows the libraries; keep only what is non-obvious.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient with concrete code and tight anti-pattern/fix lines, but it is long (~900 lines) and repeats the full client setup, repeated widget explanations, and introductory lines per pattern that Claude already knows, so it could be tightened.	2 / 3
Actionability	It provides fully executable, copy-paste-ready TypeScript/TSX code across indexing, secured keys, ranking config, faceting, and autocomplete, plus concrete anti-pattern fixes, matching the executable anchor.	3 / 3
Workflow Clarity	Sequenced steps appear for indexing and zero-downtime reindex, but batch/destructive and reindex operations lack explicit validate-then-fix feedback checkpoints, and the 'Sharp Edges' and 'Validation Checks' lists are unsequenced relative to the workflows, capping clarity at 2.	2 / 3
Progressive Disclosure	It is well sectioned but monolithic: everything is inline in SKILL.md with only external doc URLs as references and no bundle files to offload the large per-pattern API examples, so the body itself is the multi-hundred-line reference that should be split out.	2 / 3
	Total	9 / 12 Passed

Description

67%

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 clear and distinct, naming the Algolia domain and key capability areas with strong natural trigger terms. Its main weakness is the absence of an explicit 'Use when...' trigger clause in the description itself, which the guidelines cap at completeness level 2.

Suggestions

Add an explicit 'Use when...' clause to the description (e.g., 'Use when adding Algolia search, building type-ahead/autocomplete UIs, or tuning search relevance').

Replace broad area labels like 'indexing strategies' and 'relevance tuning' with a few concrete actions (e.g., 'batch-index records, configure custom ranking, set up faceted search') to raise specificity.

Dimension	Reasoning	Score
Specificity	The description names the domain (Algolia) and several concrete capabilities (search implementation, indexing strategies, React InstantSearch, relevance tuning), but these are broad area labels rather than the multiple specific concrete actions (extract, fill, merge) that anchor level 3.	2 / 3
Completeness	It clearly states what the skill covers, but the description field itself has no 'Use when...' trigger clause; the 'when' guidance lives only in the body, which per the guidelines caps completeness at 2.	2 / 3
Trigger Term Quality	Natural trigger terms a user would say are well covered, including 'Algolia', 'search', 'indexing', 'React InstantSearch', and 'relevance tuning', with good coverage of common variations.	3 / 3
Distinctiveness Conflict Risk	The Algolia/InstantSearch niche is specific and distinct with triggers unlikely to be confused with other skills, matching the clear-niche anchor.	3 / 3
	Total	10 / 12 Passed

Validation

81%

Warnings & errors only

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

Validation — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
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
referenced_paths_exist	Referenced path issues: 1 missing	Warning

	Total	13 / 16 Passed

Repository: boisenoise/skills-collections
Commit: f36337d

Reviewed: 2 days ago

Table of Contents

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