libindex

libindex - Base index class for storage-backed data. Index class provides JSONL storage operations and filtering logic. BufferedIndex adds high-volume write support with periodic flushing. Use for building custom indexes, implementing data stores, and managing persistent collections.

Quality

71%

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

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Quality

Content

92%

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-crafted skill that efficiently teaches libindex usage through concrete, executable examples. The content is appropriately concise for a library reference skill and provides clear patterns for both basic and buffered index usage. Minor improvement could be made by linking to related index documentation mentioned in the Integration section.

Suggestions

Add links to VectorIndex, TraceIndex, and ResourceIndex documentation in the Integration section for better discoverability

Dimension	Reasoning	Score
Conciseness	The content is lean and efficient, with no unnecessary explanations of basic concepts. Every section serves a clear purpose and assumes Claude understands JavaScript, classes, and storage patterns.	3 / 3
Actionability	Provides fully executable JavaScript code examples that are copy-paste ready. Both patterns show complete class definitions and usage with specific method calls and configuration options.	3 / 3
Workflow Clarity	For this simple library skill, the workflow is clear: subclass Index for custom indexes, use BufferedIndex for high-volume writes. The patterns are distinct and the flush mechanism is explicitly shown.	3 / 3
Progressive Disclosure	The content is well-organized with clear sections, but the Integration section mentions related indexes (VectorIndex, TraceIndex, ResourceIndex) without providing links to their documentation or examples.	2 / 3
	Total	11 / 12 Passed

Description

50%

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 provides moderate technical detail about the index classes and their capabilities but relies heavily on developer jargon rather than natural user language. It has a use case statement but lacks explicit trigger guidance with user-facing terms. The description would benefit from clearer differentiation from other data storage skills.

Suggestions

Reframe 'Use for building...' to 'Use when the user mentions...' with natural trigger terms like 'JSONL files', 'append-only storage', 'buffered writes', or 'custom index implementation'.

Add more concrete actions users would request, such as 'create indexes', 'query stored data', 'batch write records', or 'flush buffered data'.

Include file extensions or formats users might mention (e.g., '.jsonl files', 'line-delimited JSON') to improve trigger term coverage.

Dimension	Reasoning	Score
Specificity	Names the domain (index class, storage) and some actions (JSONL storage operations, filtering logic, periodic flushing), but lacks comprehensive concrete actions like specific methods or operations users would perform.	2 / 3
Completeness	Has a 'what' (Index class provides JSONL storage operations) and a 'when' clause ('Use for building custom indexes...'), but the 'when' is phrased as use cases rather than explicit trigger guidance. Missing a proper 'Use when...' clause with user-facing trigger terms.	2 / 3
Trigger Term Quality	Includes some relevant terms like 'index', 'JSONL', 'data stores', 'persistent collections', but uses technical jargon ('BufferedIndex', 'high-volume write support') that users may not naturally say. Missing common variations like 'JSON lines', 'append-only', 'data persistence'.	2 / 3
Distinctiveness Conflict Risk	Somewhat specific to index/storage domain but could overlap with other data storage, database, or file management skills. Terms like 'data stores' and 'persistent collections' are fairly generic and could conflict with database or caching skills.	2 / 3
	Total	8 / 12 Passed

Validation

100%

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 — 11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository: copilot-ld/copilot-ld
Commit: da36296

Reviewed: 4 months ago

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