algolia-mcp
Search Algolia indices via the Algolia MCP server, retrieve analytics (top searches, no-result rates, click positions, user counts), and get product recommendations (bought-together, related, trending). Triggers on search, indexing, analytics, Algolia, recommendations, MCP.
80
100%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
100%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 a strong skill description that clearly communicates specific capabilities (searching, analytics retrieval, product recommendations) with detailed sub-features, explicitly names trigger terms, and is highly distinctive through its Algolia/MCP focus. The description is concise, uses third person voice correctly, and provides enough detail for Claude to confidently select this skill when appropriate.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: search Algolia indices, retrieve analytics (with specific subtypes: top searches, no-result rates, click positions, user counts), and get product recommendations (bought-together, related, trending). | 3 / 3 |
Completeness | Clearly answers both 'what' (search indices, retrieve analytics, get recommendations) and 'when' with explicit trigger terms listed ('Triggers on search, indexing, analytics, Algolia, recommendations, MCP'). | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'search', 'indexing', 'analytics', 'Algolia', 'recommendations', 'MCP', plus domain-specific terms like 'top searches', 'no-result rates', 'click positions', 'trending', 'bought-together'. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive due to the specific mention of Algolia, MCP server, and the particular analytics and recommendation capabilities. Unlikely to conflict with generic search or analytics skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an excellent skill file that efficiently maps Algolia MCP tools to tasks using tables, provides concrete filter syntax with executable examples, and includes well-structured workflows with validation steps. The progressive disclosure is well-handled with a self-contained overview and clearly signaled reference documents for deeper details. The opening note about algolia-cli for write operations is a smart boundary-setting touch.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient throughout. It uses tables for tool selection (avoiding verbose descriptions), provides only the essential filter syntax examples, and doesn't explain what Algolia is or how search engines work. Every section adds actionable information Claude wouldn't already know. | 3 / 3 |
Actionability | Provides specific tool names, exact parameter names and values, concrete filter syntax examples with clear semantics, specific threshold values, and step-by-step workflows with named tools. The guidance is directly executable — Claude can call these tools immediately. | 3 / 3 |
Workflow Clarity | The 'Required Workflow' section establishes a clear discovery-first pattern, and the 'Common Workflows' section provides two well-sequenced multi-step processes (Search Quality Audit and Recommendation Setup Check) with explicit validation checkpoints (e.g., checking no-results rate before drilling into specifics, verifying Recommend is working before trying specific models). | 3 / 3 |
Progressive Disclosure | The skill provides a clear overview with well-organized sections, then points to five reference documents for deeper details (connection-setup, search, analytics, recommendations, troubleshooting). References are one level deep and clearly signaled with descriptive labels. The main file contains enough to act on without needing the references for common tasks. | 3 / 3 |
Total | 12 / 12 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 — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- algolia/skills
- Commit
a051b06
- Reviewed
Table of Contents
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