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product-self-knowledge

Stop and consult this skill whenever your response would include specific facts about Anthropic's products. Covers: Claude Code (how to install, Node.js requirements, platform/OS support, MCP server integration, configuration), Claude API (function calling/tool use, batch processing, SDK usage, rate limits, pricing, models, streaming), and Claude.ai (Pro vs Team vs Enterprise plans, feature limits). Trigger this even for coding tasks that use the Anthropic SDK, content creation mentioning Claude capabilities or pricing, or LLM provider comparisons. Any time you would otherwise rely on memory for Anthropic product details, verify here instead — your training data may be outdated or wrong.

72

Quality

87%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%

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

A well-structured, actionable instruction skill with a clear sequenced workflow and clean section organization. Its main weakness is mild redundancy from duplicated URL listings and generic principles that could be trimmed.

Suggestions

Remove the docs-map URLs (docs_site_map.md, claude_code_docs_map.md) duplicated in 'Quick Reference' since they already appear in 'Question Routing', eliminating redundancy and saving tokens.

Trim 'Core Principles' to only non-obvious directives; 'Accuracy over guessing' and 'Source everything' largely restate behavior Claude already applies.

DimensionReasoningScore

Conciseness

The body is lean and avoids explaining concepts Claude already knows, but the docs-map URLs (docs_site_map.md, claude_code_docs_map.md) are duplicated between 'Question Routing' and 'Quick Reference', and 'Core Principles' restates somewhat generic directives, so it could be tightened further.

2 / 3

Actionability

It provides concrete, copy-paste-ready resources (specific documentation URLs, npm package link) and a ready fallback phrase ('For the most current information, see [URL]'); per the instruction-only scoring note, the absence of code is not penalized because the guidance is actionable.

3 / 3

Workflow Clarity

The five-step 'Response Workflow' is clearly sequenced with an explicit 'Verify details' checkpoint and an 'If uncertain' fallback that functions as an error-recovery loop.

3 / 3

Progressive Disclosure

At under 50 lines with no bundle files and no need for external references, the well-organized sections (Core Principles, Question Routing, Response Workflow, Quick Reference) and one-level-deep external doc links satisfy the simple-skill threshold for a top score.

3 / 3

Total

11

/

12

Passed

Description

90%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, comprehensive description that clearly states both what it covers and when to trigger, with natural trigger terms and a distinct niche. Its only weakness is second-person voice, which costs it a specificity point per the rubric.

DimensionReasoningScore

Specificity

The description enumerates many concrete covered topics ('how to install, Node.js requirements, MCP server integration', 'function calling/tool use, batch processing, SDK usage, rate limits, pricing, models, streaming', 'Pro vs Team vs Enterprise plans'), which is comprehensive; however it is written in second person ('your response', 'you would otherwise rely on memory', 'your training data'), which the rubric penalizes by reducing specificity by one from a base of 3.

2 / 3

Completeness

It explicitly answers 'what' via 'Covers: Claude Code (...), Claude API (...), and Claude.ai (...)' and 'when' via 'Stop and consult this skill whenever your response would include...', 'Trigger this even for...', and 'Any time you would otherwise rely on memory...'.

3 / 3

Trigger Term Quality

It includes natural terms users would say — 'Claude Code', 'Anthropic SDK', 'Claude capabilities or pricing', 'LLM provider comparisons', 'Pro vs Team vs Enterprise plans' — giving good coverage of common phrasings.

3 / 3

Distinctiveness Conflict Risk

It carves a clear niche (specific facts about Anthropic's products) with triggers tied to Anthropic SDK usage, Claude capabilities/pricing, and LLM provider comparisons, making conflicts with unrelated skills unlikely.

3 / 3

Total

11

/

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
UnicomAI/wanwu
Reviewed

Table of Contents

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