academic-poster-generator

Complete workflow for generating academic research posters from PDF literature; use when you need to extract paper content from PDFs and produce a LaTeX-based poster (beamerposter/tikzposter/baposter) with mandatory figure generation and a final rendered HTML deliverable.

Quality

80%

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tessl review fix ./scientific-skills/Other/academic-poster-generator/SKILL.md

Quality

Content

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

A highly actionable skill with a clearly sequenced pipeline and explicit validation, but it is undermined by redundancy in the main body and poor use of its own bundle — most reference files are never pointed to, and their content is partially duplicated inline.

Suggestions

Deduplicate the figure requirement (stated in 'When to Use', 'Key Features', 'Stage B', and 'Implementation Details') and the 4.5:1 contrast rule, keeping each in one authoritative section.

Link the remaining bundle reference files (poster_layout_design.md, latex_poster_packages.md, pdf-extraction.md, poster_content_guide.md, troubleshooting.md) from SKILL.md and move the inlined layout/structuring details into them.

Add an explicit feedback loop after Stage F: what to fix and re-run when check_poster_quality.py reports failures.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient with concrete commands and no concept explanations, but it repeats the 'at least 2–3 figures' requirement in three places (When to Use, Key Features, Stage B, Implementation Details), restates the 4.5:1 contrast rule twice, and pads the dependency list with '(version not pinned)' seven times — more than the 'minor instances' allowed by the 4 anchor.	3 / 5
Actionability	Every stage gives copy-paste-ready commands with concrete arguments (e.g., 'python scripts/generate_figures.py schematic "Cell signaling pathway" mechanism.png', 'python scripts/extract_metadata.py paper.pdf metadata.json'), plus install commands, expected output tree, and concrete example inputs covering the common cases. The only non-code step (agent HTML rendering) is an agent step by design and still has explicit requirements.	5 / 5
Workflow Clarity	The sequence is clear (Stage A–F plus a one-command pipeline) with a mandatory validation checkpoint ('Stage F — Quality control', 'python scripts/check_poster_quality.py') and an explicit file policy. It falls short of the 5 anchor because there is no feedback loop — nothing instructs what to fix and re-run when the quality check fails.	4 / 5
Progressive Disclosure	The body links only 2 of the 9 bundle reference files (design_principles.md, poster_quality_checklist.md); poster_layout_design.md, latex_poster_packages.md, pdf-extraction.md, poster_content_guide.md, troubleshooting.md and others are orphaned and undiscoverable, while layout/structuring detail that duplicates them is inlined in SKILL.md. This matches the 3 anchor ('references present but not clearly signaled; content that should be separate is inline') better than the 4 anchor.	3 / 5
	Total	15 / 20 Passed

Description

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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 that clearly states both what the skill does and when to use it, with concrete pipeline steps and named templates. Its weaknesses are the second-person phrasing and trigger overlap with generic PDF-extraction skills.

Dimension	Reasoning	Score
Specificity	The description names multiple concrete actions — 'extract paper content from PDFs', 'produce a LaTeX-based poster (beamerposter/tikzposter/baposter)', 'mandatory figure generation', 'final rendered HTML deliverable' — giving comprehensive pipeline coverage that would merit a 5. However, it uses second person ('use when you need to'), which the judging guidelines penalize by reducing specificity by 1, so it lands at 4.	4 / 5
Completeness	Explicitly answers both: what ('Complete workflow for generating academic research posters from PDF literature... with mandatory figure generation and a final rendered HTML deliverable') and when ('use when you need to extract paper content from PDFs and produce a LaTeX-based poster') — a concrete trigger clause, matching the 5 anchor.	5 / 5
Trigger Term Quality	Good natural keywords: 'academic research posters', 'PDF literature', 'paper', 'LaTeX', 'figure', 'poster'. It is not a 5 because common user phrasings like 'conference poster', 'make a poster from this paper', and the '.pdf' file extension are missing.	4 / 5
Distinctiveness Conflict Risk	The poster-generation niche with named LaTeX packages is clear and mostly distinct, but the trigger 'use when you need to extract paper content from PDFs' overlaps with generic PDF-extraction skills, giving minor conflict risk — the 4 anchor rather than 5.	4 / 5
	Total	17 / 20 Passed

Validation

87%

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 — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
referenced_paths_exist	Referenced path issues: 4 deeper-than-1-level	Warning

	Total	14 / 16 Passed

Repository: aipoch/medical-research-skills
Path: scientific-skills/Other/academic-poster-generator/SKILL.md
Commit: 686e09d

Reviewed: 12 hours ago

Table of Contents

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