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tanstack-ai-memory-in-memory

Use when wiring inMemory() from @tanstack/ai-memory/in-memory — explains setup, options (embedder, extract, topK/minScore), when to pick it (dev/tests/single-process demos), and what NOT to use it for (multi-process or persistent).

80

Quality

100%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The body is a tight, well-structured reference for a simple adapter: executable setup, precise option documentation, and clear when/when-not guidance. It respects the context budget while remaining fully actionable.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence—'Zero-dependency recall/save adapter backed by a Map'—with no padding or explanation of basic concepts; every line earns its place.

3 / 3

Actionability

Provides copy-paste-ready setup code plus typed option signatures with defaults ('topK (default 6), minScore (default 0.15)'), giving fully executable, concrete guidance.

3 / 3

Workflow Clarity

This is a simple single-purpose skill whose one action (construct + pass to middleware) is unambiguous, so the simple-skills allowance applies; no risky multi-step process requires validation checkpoints.

3 / 3

Progressive Disclosure

Under 50 lines with well-organized sections and no need for external references, so the simple-skills allowance applies; content is appropriately self-contained and easy to navigate.

3 / 3

Total

12

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12

Passed

Description

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.

The description is concise, specific, and third-person, with an explicit 'Use when' trigger and concrete option identifiers. It cleanly distinguishes this adapter from its siblings and states non-goals, leaving little room for misfires.

DimensionReasoningScore

Specificity

Names concrete capabilities—'setup, options (embedder, extract, topK/minScore)'—and explicit non-goals ('multi-process or persistent'), listing multiple specific actions rather than vague language.

3 / 3

Completeness

Explicitly answers both what it does (an adapter for inMemory) and when to use it via a clear 'Use when...' clause, satisfying the what-and-when requirement.

3 / 3

Trigger Term Quality

Opens with the natural trigger 'Use when wiring inMemory() from @tanstack/ai-memory/in-memory' and pairs it with user-facing phrases like 'dev/tests/single-process demos' and 'multi-process', covering terms a user would actually say.

3 / 3

Distinctiveness Conflict Risk

The fully qualified import path and scoped use case make it clearly distinguishable from sibling skills (e.g. the redis adapter), so it is unlikely to trigger for the wrong skill.

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
TanStack/ai
Reviewed

Table of Contents

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