Md Review
borghei/Claude-Skills
Pre-publication quality gate for authored Markdown — heading structure, on-disk link resolution, readability, accessibility, terminology.
Readability and rendering audit for figures and tables in academic manuscripts.
$ npx skills add Mathews-Tom/armory --skill figure-table-quality -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Mathews-Tom/armory figure-table-quality --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/figure-table-quality .claude/skills/figure-table-quality && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "figure-table-quality" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/figure-table-quality into .claude/skills/figure-table-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-table-quality", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Mathews-Tom/armory/tree/main/skills/figure-table-qualityType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Mathews-Tom/armory --skill figure-table-quality -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Mathews-Tom/armory figure-table-quality --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/figure-table-quality .agents/skills/figure-table-quality && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "figure-table-quality" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/figure-table-quality into .agents/skills/figure-table-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-table-quality", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Mathews-Tom/armory --skill figure-table-quality -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Mathews-Tom/armory figure-table-quality --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/figure-table-quality .cursor/skills/figure-table-quality && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "figure-table-quality" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/figure-table-quality into .cursor/skills/figure-table-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-table-quality", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Mathews-Tom/armory.git --path skills/figure-table-quality--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Mathews-Tom/armory --skill figure-table-quality -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Mathews-Tom/armory figure-table-quality --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/figure-table-quality .gemini/skills/figure-table-quality && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "figure-table-quality" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/figure-table-quality into .gemini/skills/figure-table-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-table-quality", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Mathews-Tom/armory figure-table-qualityInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Mathews-Tom/armory --skill figure-table-quality -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/figure-table-quality .github/skills/figure-table-quality && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "figure-table-quality" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/figure-table-quality into .github/skills/figure-table-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-table-quality", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Mathews-Tom/armory --skill figure-table-quality -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Mathews-Tom/armory figure-table-quality --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/figure-table-quality .opencode/skills/figure-table-quality && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "figure-table-quality" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/figure-table-quality into .opencode/skills/figure-table-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-table-quality", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
figure-table-qualityReadability and rendering audit for figures and tables in academic manuscripts.
Figure Table Quality is an agent skill from Mathews-Tom/armory. Readability and rendering audit for figures and tables in academic manuscripts. Computes effective font/marker sizes at display scale from generation scripts, checks label collisions, color/hatch accessibility, axis-range efficiency, table formatting, and cross-figure consistency. Triggers on: "check figure quality", "audit plots", "readability check", "figure rendering", "are my figures readable", "table formatting check". Companion to figure-rhetoric (visual argument) and manuscript-typography (typesetting).
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `evals/cases.yaml`).
It sits in Frontend & Design, covering Plain language and style rules, LaTeX and Accessibility. The repository describes itself as: Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4594fb7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Figure Table Quality loads about 1.7k tokens when it runs. Until then it costs about 134 tokens; SKILL.md has 682 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Mathews-Tom/armory at commit 4594fb7, republished under its MIT licence (© Mathews-Tom). 682 words, ~1,713 tokens.
.claude/skills/figure-table-quality/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Pipeline position: Phase 2.5 (between Grounding/Polish and Submission).
Runs after figure-rhetoric (content) and before arxiv-preflight (compliance).
See /manuscript-pipeline for full execution order.
Verify that every figure and table in a manuscript renders at readable size in the compiled PDF. figure-rhetoric checks whether figures communicate the right message. This skill checks whether the reader can physically read them.
For every \includegraphics in the .tex source:
\textwidth, 0.7\textwidth, 0.55\textwidth)figsize for each figurescale = display_width / figsize_widthAlso extract from the generation script or config:
For each figure, compute effective values at display scale and check:
effective_font = script_font × scale| Element | Minimum | Warning |
|---|---|---|
| Axis title | 7pt | 8pt |
| Tick labels | 6pt | 7pt |
| Legend text | 6pt | 7pt |
| Annotations | 6pt | 7pt |
| Panel titles | 7pt | 8pt |
FAIL if any element falls below minimum. WARN if any element falls below warning threshold.
Check for overlapping text in:
For rotated labels: compute horizontal footprint as
len(label) × char_width × cos(rotation). If footprint > tick spacing, FAIL.
effective_marker = script_marker × scale
effective_linewidth = script_linewidth × scaleFor grouped bar charts:
tight_layout() or equivalent handle margins?For each \begin{tabular} or \begin{table}:
\toprule, \midrule, \bottomrule)? No vertical rules?\resizebox or \small hacks.## Figure & Table Quality Report
### Display Scale Map
| Figure | figsize | display | scale | verdict |
|--------|---------|---------|-------|---------|
| fig1 | 7×4 | 6.27" | 90% | OK |
### Per-Figure Findings
#### Figure 1 (fig1_resolve_rates.pdf)
- [PASS] Font sizes: tick 8.1pt, legend 8.1pt
- [PASS] No label collisions
- [WARN] Bar width 3.2pt — borderline at print size
...
### Table Findings
#### Table 1 (table1_resolve.tex)
- [PASS] Booktabs rules
- [PASS] Caption above tabular
...
### Cross-Figure Consistency
- [PASS] Color scheme consistent
- [FAIL] Label mismatch: fig2 uses "cmd", other figures use "Yuj"
### Summary
- [count] FAIL (must fix)
- [count] WARN (should fix)
- [count] PASSAUTO-FIX (apply directly):
tight_layout() callsHUMAN-REQUIRED (present and wait):
This skill reads:
.tex source (\includegraphics directives, \geometry settings).tex filesIt does NOT:
© Mathews-Tom, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/figure-table-quality of Mathews-Tom/armory.
Open the folder on GitHubat commit 4594fb7
Figure Table Quality next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Figure Table Quality this skillMathews-Tom/armory | 328 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Md Reviewborghei/Claude-Skills | 881 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Baseline UIibelick/ui-skills | 9.5k | 8 repos | ~855 | Automated safety check: Pass | MIT | |
| UI/UX Design System AdvisorGalaxy-Dawn/claude-scholar | 5.7k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Color Auditrome-os/rome | 725 | — | ~2.7k | Automated safety check: Pass | MIT | |
| Typesetsudomakes/backroad | 162 | 10 repos | ~1.4k | Automated safety check: Pass | MIT |
borghei/Claude-Skills
Pre-publication quality gate for authored Markdown — heading structure, on-disk link resolution, readability, accessibility, terminology.
ibelick/ui-skills
Applies a fixed set of UI rules for stack, components, interaction, animation, typography and layout, or reviews a file against them with concrete fixes.
Galaxy-Dawn/claude-scholar
Turns a vague UI request into a concrete design system with style, palette, typography and layout guidance from a search script, plus stack-specific implementation advice.
rome-os/rome
Audit a design system's color palette against measurable color-science disciplines — WCAG/APCA contrast of declared token pairs, perceptual (OKLCH) ramp uniformity, color-blindness safety of…
sudomakes/backroad
Improve typography by fixing font choices, hierarchy, sizing, weight consistency, and readability.
bergside/typeui
Universal UI/UX design principles covering visual hierarchy, interaction laws, typography foundations, and WCAG accessibility requirements.
Mathews-Tom/armory
Architecture reviews across 7 dimensions (structural, scalability, enterprise readiness, performance, security, ops, data) with scored reports.
Mathews-Tom/armory
Turn concepts into static HTML visuals exported as PNG or SVG files via HTML/CSS/SVG.
Mathews-Tom/armory
A skill your agent uses when analyzing an existing video URL or local recording: "watch this video", "analyze youtube video", "summarize this video", "youtube transcript", "find this moment", "what…
Mathews-Tom/armory
Deep code simplification and refactoring preserving behavior across Python, Go, TypeScript, Rust.
Mathews-Tom/armory
Turn concepts into animated explainer videos using Manim (Python) with MP4/GIF output, audio overlay, multi-scene composition.
Mathews-Tom/armory
Maps the unresolved architecture, policy, and scope decisions that must be answered before planning can start: one durable decision ticket per question on the issue tracker, typed and blocker-linked…
Categories
Readability and rendering audit for figures and tables in academic manuscripts. Figure Table Quality is an agent skill from Mathews-Tom/armory. Readability and rendering audit for figures and tables in academic manuscripts.
Figure Table Quality fits situations like: : check figure quality; readability check; figure rendering; are my figures readable.
Run `npx skills add Mathews-Tom/armory --skill figure-table-quality -a claude-code`. Or copy the skill folder (skills/figure-table-quality in Mathews-Tom/armory) into .claude/skills/figure-table-quality in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Mathews-Tom/armory --skill figure-table-quality -a codex`. Or copy the skill folder (skills/figure-table-quality in Mathews-Tom/armory) into .agents/skills/figure-table-quality in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Mathews-Tom/armory --skill figure-table-quality -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/figure-table-quality, .gemini/skills/figure-table-quality, .github/skills/figure-table-quality and .opencode/skills/figure-table-quality in your project.
SKILL.md names no scripts, command-line tools or credentials: Figure Table Quality is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Figure Table Quality is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Figure Table Quality: Md Review (borghei/Claude-Skills, 881 stars), Baseline UI (ibelick/ui-skills, 9.5k stars), UI/UX Design System Advisor (Galaxy-Dawn/claude-scholar, 5.7k stars) and Color Audit (rome-os/rome, 725 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Mathews-Tom (a GitHub user) maintains it in Mathews-Tom/armory, which has 328 GitHub stars. The repository holds 80 skills in this directory. The repository was last updated on October 6, 2026.
Source: Mathews-Tom/armory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.