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figure-legend-writer

Writes complete, publication-grade figure legends that can stand on their own. Use when writing or revising figure legends for any scientific figure — bar charts, line graphs, scatter plots, box plots, heatmaps, survival curves, flow cytometry plots, western blots, microscopy images, or schematic diagrams. Also triggers on "write a figure legend for", "help me describe this figure", "my figure needs a legend", "write Figure 1 legend", or "what should a figure legend include".

Quality

87%

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SKILL.md
Quality
Evals
Security

Quality

Content

81%Weight 40%Scale 1-5

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

A well-structured, highly actionable instruction skill: concrete templates, placeholder conventions, per-figure-type requirements, and a validation checklist make the workflow unambiguous. Its weaknesses are moderate redundancy (the fabrication rule and self-containment principle are each repeated several times, and 'When to Use' duplicates the description) and an orphaned bundle script that the body never mentions.

Suggestions

Consolidate the no-fabrication guidance into one place: keep the Hard Rules (or Placeholder Convention) section and remove the repeated restatements in Input Validation, Step 1, and the blockquote.

Trim or remove the 'When to Use' section since it restates the frontmatter description almost verbatim, and drop the blockquote line that adds no new instruction.

Either reference scripts/main.py from the body (e.g., in a Usage section) or remove it from the bundle so every bundle file is discoverable from SKILL.md.

DimensionReasoningScore

Conciseness

The figure-type element table, placeholder syntax, and legend structure template are non-obvious domain knowledge that earns their tokens, but the no-fabrication rule is restated roughly four times (Input Validation out-of-scope, Step 1's 'insert explicit placeholders rather than inventing them', the Placeholder Convention section, and Hard Rules), 'When to Use' duplicates the frontmatter description, and the blockquote ('Figure Legend Generator writes the legend text…') adds little. Mostly efficient but with several redundant sections that could be consolidated — between anchors 3 and 4, closer to 3.

3 / 5

Actionability

For an instruction-only skill the guidance is fully concrete: a copy-paste-ready legend structure template, a multi-panel format, exact placeholder syntax ('[AUTHOR: specify error bar type — SEM or SD]', '[n = X per group]'), exact significance notation, and a per-figure-type table covering all common scientific figure cases.

5 / 5

Workflow Clarity

The Core Workflow is a clear three-step sequence (identify details → write legend → quality check) with an explicit 7-item validation checklist and a defined handling path for missing data (use placeholders, never invent). This is a writing task, not a destructive or batch operation, so the validation cap does not apply; the checklist serves as an explicit validation step.

5 / 5

Progressive Disclosure

The References section clearly signals two one-level-deep files that both exist (references/legend_templates.md, references/academic_style_guide.md), and the core working material (elements table, workflow) is appropriately kept inline. However, the bundle contains scripts/main.py, which is never referenced or navigated from the body — a minor organization gap that keeps this below the top anchor.

4 / 5

Total

17

/

20

Passed

Description

90%Weight 40%Scale 1-5

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 description: third-person, concrete about what it does, and rich with natural trigger phrases covering a well-defined niche. The only weakness is modest action specificity — it names two actions (write, revise) rather than enumerating several distinct capabilities, but the figure-type coverage makes the scope unambiguous.

DimensionReasoningScore

Specificity

The description states 'Writes complete, publication-grade figure legends that can stand on their own' and 'writing or revising figure legends' — the domain plus two concrete actions (write, revise). It does not list several distinct operations; the enumerated figure types (bar charts, line graphs, heatmaps, etc.) are inputs rather than actions, so it matches the 'names domain and 1-2 concrete actions' anchor rather than the 'several specific actions' anchor.

3 / 5

Completeness

It explicitly answers both questions: what ('Writes complete, publication-grade figure legends that can stand on their own') and when ('Use when writing or revising figure legends for any scientific figure'), reinforced with concrete trigger phrases. Both are clear and explicit, matching the top anchor.

5 / 5

Trigger Term Quality

It provides comprehensive natural trigger phrasings users would actually say — 'write a figure legend for', 'help me describe this figure', 'my figure needs a legend', 'write Figure 1 legend', 'what should a figure legend include' — plus the full figure-type vocabulary, covering synonyms and common variations.

5 / 5

Distinctiveness Conflict Risk

Scientific figure legends are a clear, narrow niche with distinct trigger phrases; the description is unlikely to fire for unrelated writing tasks and doesn't overlap meaningfully with general editing or analysis skills.

5 / 5

Total

18

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository

aipoch/medical-research-skills

Path

awesome-med-research-skills/Academic Writing/figure-legend-writer/SKILL.md

Reviewed

Table of Contents

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