Figure Composer Agent Skill

Compose or improve a publication-grade multi-panel scientific figure from a claim, concrete data paths, or an existing image. Use for figure outlining, parallel panel rendering, exact-grid composition, visual inspection, and adversarial figure review. Use figure-style for one standalone plot and paper-narrative for whole-paper figure ordering.

4k tokens

context cost

the whole folder, loaded on every use

files

ships runnable scripts

copies elsewhere

how many repositories repackaged it

859

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/xuzhougeng/wisp-science --skill figure-composer

The instruction itself

5 sections, as written by the author

Figure composer

Load figure-style with this skill. The sidecar provides pure geometry,

composition, task-building, and review-schema helpers. It does not call models,

delegate Agents, resolve artifacts, or inspect images from Python.

Inputs

Require a one-sentence claim, target width in millimetres, and concrete

project-relative or absolute data paths. Never use artifact ids as paths. For an

existing figure, inspect the real image with view_image and write the outline

yourself; pixels cannot reveal the source data path.

Workflow

Build an outline matching figure_outline_schema(). Put real paths in

data_path; use null for schematics.

Make panel a the conceptual hook and panel b the primary evidence. Use a

12-column grid and one row per sub-claim.

Build one instruction per panel with panel_task(...).
If delegate_tasks is advertised, submit the independent panel tasks as one

batch. Grant each task the minimum advertised capabilities needed, normally

visualization plus project_read. Require a concrete PNG filename in each

output schema. If delegation is unavailable, render the panels sequentially

with python.

Compose returned paths with compose_figure(...). Do not pass placeholder

markers to the composer.

Use compose_crops(...) with Pillow to save temporary crop files, then call

view_image on the composite and every crop. Fix seams, clipped labels,

aliases, empty space, and misplaced panel letters before review.

Build one reviewer instruction with composite_review_task(...). Delegate it

with image_inspection, project_read, and reasoning when those capability

ids are advertised; otherwise perform the review in the current Agent.

Apply outline revisions and regenerate only affected panels. Stop after three

rounds or when there are no blockers and at most two major findings.

Outline example

{
  "claim": "Treatment restores the disease-associated trajectory.",
  "width_mm": 180,
  "ncol": 12,
  "row_heights_mm": [42, 60],
  "panels": [
    {
      "letter": "a",
      "role": "schematic",
      "row": 0,
      "col": 0,
      "colspan": 12,
      "chart_family": "study schematic",
      "message": "The experiment tests trajectory rescue.",
      "data_path": null,
      "ask": "Show cohorts, treatment, sampling, and comparison."
    },
    {
      "letter": "b",
      "role": "primary",
      "row": 1,
      "col": 0,
      "colspan": 12,
      "chart_family": "trajectory plot",
      "message": "Treatment moves cells toward the healthy trajectory.",
      "data_path": "results/trajectory.csv",
      "ask": "Plot disease, treated, and healthy cells with confidence bands."
    }
  ]
}

Boundaries

Use delegate_tasks only as an explicit Wisp tool; never call delegation from

python.

Use view_image only on a concrete local image file.
Keep data preparation in normal project files. Use run_in_context only when

a deterministic render or preprocessing job is long enough to require a

persisted Run; Agent delegation itself is not a Run.

Save the accepted composite to a stable project path and report that path.

Other skills for the same job

different authors, same section of the catalogue

Pathml

by K-Dense-AI

×1

Use PathML for local, research-only computational pathology workflows: load and tile slides, build preprocessing and QC pipelines, manage h5path data, quantify multiplex images, construct spatial graphs, and plan bounded model inference.

38k tokens scripts

HTML Ppt Retro Quarterly Review

by nexu-io

| Retro Quarterly Review presentation template in a bold blue + orange editorial language. Use when users ask for a high-impact quarterly review / roadmap deck with heavyweight slab headlines, clean cream paper sections, structured grids, and fast premium motion pacing (3 slides, each hold under 3s in video mode).

8k tokens

Baoyu Post To Wechat

by JimLiu

Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) with HTML, markdown, or plain text input, and image-text posting (贴图, formerly 图文) with multiple images. Markdown article workflows default to converting ordinary external links into bottom citations for WeChat-friendly output. Use when user mentions "发布公众号", "post to wechat", "微信公众号", or "贴图/图文/文章".

78k tokens scripts

Paper Illustration

by wanshuiyin

Generate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Codex-supervised iterative refinement loop. Use when user says \"生成图表\", \"画架构图\", \"AI绘图\", \"paper illustration\", \"generate diagram\", or needs visual figures for papers.

8k tokens

Paper Illustration Image2

by wanshuiyin

Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation. This is a separate experimental alternative to `paper-illustration`, intended for Claude Code users who want a GPT-image-style renderer without modifying the original skill.

7k tokens scripts

Paper Illustration

by wanshuiyin

Generate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Claude-supervised iterative refinement loop. Use when user says \"生成图表\", \"画架构图\", \"AI绘图\", \"paper illustration\", \"generate diagram\", or needs visual figures for papers.

8k tokens

Paper Illustration Image2

A friendly, hand-drawn sketch interface inspired by pencil illustrations on warm cream paper. Soft teal brand accents, hand-written display headings, rounded pill controls.

1k tokens

How to use it

Copy the folder

Take xuzhougeng/figure-composer from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.