latex-posters

Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.

Quality

65%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./skills/latex-posters/SKILL.md

Quality

Content

62%

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

The content is highly actionable and the end-to-end workflow is clearly sequenced with strong validation/feedback loops, but it is severely compromised by extreme repetition and verbosity — the same AI-graphic guidance is restated many times — which bloats the file into a monolithic document that undermines the otherwise good progressive-disclosure structure.

Suggestions

Consolidate the AI-generated-graphics guidance (Sections 'AI-Powered Visual Element Generation', 'Preventing Content Overflow', 'Poster-Size Font Requirements', 'AI-Generated Graphic Sizing', Steps 0–2b, 'Visual Element Guidelines', and the Stage 2/'Common Pitfalls' restatements) into a single reference file and leave a concise summary plus a pointer in SKILL.md.

Move the long 'PDF Review and Quality Control' checklist (Steps 1–9) into assets/poster_quality_checklist.md (which already exists) and reference it, rather than reproducing it inline.

Reduce repeated callouts (e.g. the 'PATTERNS THAT ALWAYS FAIL'/'PATTERNS THAT WORK' tables appear twice with overlapping content) to a single canonical version to recover token budget.

Dimension	Reasoning	Score
Conciseness	The body is extremely verbose and repetitive — the same 3-elements/60%-white-space/120pt-font guidance is restated in the AI-generation sections, Step 0/1/2/2b checklists, the complete-workflow example, 'Visual Element Guidelines', Stage 2, and 'Common Pitfalls', padding the file far beyond what Claude does not already know after the first statement.	1 / 3
Actionability	It provides concrete, executable guidance throughout: real `python scripts/generate_schematic.py` commands with full prompt strings, copy-paste LaTeX templates for all three packages, and exact bash review commands (pdfinfo, pdffonts, grep overfull).	3 / 3
Workflow Clarity	The poster-creation workflow is clearly sequenced (Step 0 pre-generation review → generate → Step 2b post-generation review → assemble → compile → overflow check) with explicit validation checkpoints and feedback loops (regenerate-on-fail, 'DO NOT proceed if any graphic fails').	3 / 3
Progressive Disclosure	Bundle structure is sound and one-level-deep (verified references/poster_layout_design.md, references/poster_design_principles.md, references/latex_poster_packages.md, references/poster_content_guide.md, assets/.tex, scripts/.py all exist and are clearly signaled), but SKILL.md itself is a monolithic ~1590-line wall of text with deeply repeated inline content that should have been split into reference files, so the overview is not lean.	2 / 3
	Total	9 / 12 Passed

Description

67%

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 specific, well-targeted, and uses strong natural trigger terms with low conflict risk, but it omits an explicit 'Use when...' trigger clause, capping its completeness. It is written in clean third-person voice with no over-claims.

Suggestions

Add an explicit 'Use when...' clause, e.g. 'Use when creating research or academic posters for conferences, thesis defenses, or poster sessions, or when converting a paper into a poster.' to lift completeness to 3.

Lead with concrete verbs the user will see executed (e.g. 'Generate, lay out, and compile research posters in LaTeX...') rather than the noun-heavy feature list ('Support for...', 'Includes...').

Dimension	Reasoning	Score
Specificity	The description names the domain (LaTeX research posters) and several concrete capabilities (layout design, color schemes, multi-column formats, figure integration), but it reads as a feature inventory rather than a list of concrete actions Claude performs; the verbs 'Create' and 'Support'/'Includes' are general.	2 / 3
Completeness	It clearly states what the skill does but lacks an explicit 'Use when...' trigger clause; the 'when' is only implied through the domain description, so per the guidelines completeness is capped at 2.	2 / 3
Trigger Term Quality	Strong coverage of natural terms users would say: 'research posters', 'conference presentations', 'academic posters', 'scientific communication', 'multi-column formats', and named packages (beamerposter, tikzposter, baposter) match likely user phrasing.	3 / 3
Distinctiveness Conflict Risk	The niche is clear and specific — LaTeX-based research posters using named packages — making it unlikely to trigger for unrelated skills or conflict with generic document/presentation skills.	3 / 3
	Total	10 / 12 Passed

Validation

81%

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 — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (1597 lines); consider splitting into references/ and linking	Warning
metadata_field	'metadata' should map string keys to string values	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	13 / 16 Passed

Repository: K-Dense-AI/scientific-agent-skills
Path: skills/latex-posters/SKILL.md
Commit: 757b63b

Reviewed: about 12 hours ago

Table of Contents

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