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figure-description

Process user-provided patent figures and generate formal drawing descriptions. Use when user says "附图处理", "figure description", "附图说明", "drawings description", or wants to describe patent figures with reference numerals.

85

Quality

83%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Discovery

89%

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 well-crafted description with strong trigger terms in both Chinese and English, a clear 'Use when' clause, and a distinctive niche that minimizes conflict risk. The main weakness is that the 'what' portion could be more specific about the concrete actions performed (e.g., extracting reference numerals, formatting descriptions per patent office standards).

Suggestions

Add more specific concrete actions to the 'what' portion, e.g., 'extract reference numerals from figures, map numerals to component names, and generate formatted drawing descriptions per patent office standards.'

DimensionReasoningScore

Specificity

The description names the domain (patent figures) and two actions (process figures, generate drawing descriptions), but doesn't elaborate on specific sub-actions like extracting reference numerals, formatting output, or handling multiple figure types.

2 / 3

Completeness

Clearly answers both 'what' (process patent figures and generate formal drawing descriptions) and 'when' (explicit 'Use when' clause with specific trigger phrases and a broader condition about describing patent figures with reference numerals).

3 / 3

Trigger Term Quality

Includes excellent natural trigger terms in both Chinese ('附图处理', '附图说明') and English ('figure description', 'drawings description'), plus the conceptual trigger 'reference numerals' and 'patent figures'. Good coverage of terms users would actually say.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive niche — patent figure descriptions with reference numerals is very specific and unlikely to conflict with other skills. The bilingual trigger terms further narrow the scope.

3 / 3

Total

11

/

12

Passed

Implementation

77%

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 with strong actionability and workflow clarity. The 7-step process is logically sequenced with validation checkpoints, concrete output formats, and clear rules. The main weaknesses are moderate verbosity (some sections could be tighter) and the monolithic structure that could benefit from splitting detailed templates into reference files.

Suggestions

Trim the introductory comparison to /paper-figure and tighten the Discover Figures step by removing obvious search locations Claude would check anyway.

Consider extracting the jurisdiction-specific description templates and the reference numeral index template into separate reference files to improve progressive disclosure.

DimensionReasoningScore

Conciseness

The skill is reasonably well-structured but includes some content that could be tightened. The examples in Steps 4 and 5 are helpful but somewhat verbose, and the distinction from `/paper-figure` is unnecessary context. The constants section and input section add useful information concisely, but the overall document could be trimmed by ~20%.

2 / 3

Actionability

The skill provides highly concrete, actionable guidance: specific numeral ranges, exact file paths for output, complete table formats for the reference numeral index, example formal descriptions in both CN and EN jurisdictions, and explicit cross-referencing steps. The output format is copy-paste ready with clear markdown templates.

3 / 3

Workflow Clarity

The 7-step workflow is clearly sequenced with logical progression from discovery through analysis, assignment, generation, cross-referencing, and output. Step 6 serves as an explicit validation checkpoint that flags missing figures and numerals, creating a feedback loop. The cross-reference verification table ensures completeness before final output.

3 / 3

Progressive Disclosure

The content is well-organized with clear sections and headers, but everything is in a single monolithic file with no references to supporting documents. The reference numeral index template, jurisdiction-specific examples, and cross-reference tables could be split into separate reference files. However, given no bundle files exist, the inline approach is somewhat justified.

2 / 3

Total

10

/

12

Passed

Validation

81%

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

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

9

/

11

Passed

Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Reviewed

Table of Contents

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