pinepaper
Build and check Pinepaper MCP diagrams, charts, motion, and interactive models when a lesson needs linked visual states or a changing quantity.
Skill by madhvantyagi
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/madhvantyagi-pinepaper
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building, data-visualization
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/pinepaper
What's inside
- Skill name
pinepaper- Description
- Build and check Pinepaper MCP diagrams, charts, motion, and interactive models when a lesson needs linked visual states or a changing quantity.
- License
- MIT
- Instructions
- 71 lines in SKILL.md · view on GitHub
Files (5)
- SKILL.md
- charts-and-quantities.md · references/
- diagrams.md · references/
- interaction-and-export.md · references/
- motion-and-models.md · references/
SKILL.md (first lines)
# Pinepaper Use the `pinepaper` MCP server for a composed diagram or scene whose parts must stay linked or change together. For a mathematical curve or coordinate construction, follow the graph rules in [representation choices](../lesson-design/references/representation-choices.md) and use [JSXGraph](../jsxgraph/SKILL.md) when they fit. Start with the selected subject guide and the block brief. Name the question the learner should answer from the scene. Keep the same objects, symbols, units, and example as the surrounding lesson. ## Choose the visual job - For a fixed relationship or boundary, read [diagrams](references/diagrams.md). Use [Excalidraw](../excalidraw/SKILL.md) when a quick static sketch is enough. - For a plotted quantity, curve, or linked numerical view, read [charts and quantities](references/charts-and-quantities.md). Keep exact values in a table or reproducible calculation. - For ordered states, physical motion, waves, or a model such as heat transfer, read [motion and models](references/motion-and-models.md). - For learner controls or any finished file, read [interaction and export](references/interaction-and-export.md). Choose the export before building features that the format cannot preserve. One lesson may combine a diagram, graph, and motion around the same state. Each view must reveal a different part of the explanation. Do not make the learner infer which curve, arrow, or moving object corresponds to a number in the text. ## Build through the MCP server 1. Write a short scene brief: claim, objects, source of quantities, units, what changes, and the expected output file. Decide what the learner will predict or compare. 2. Read the current tool schema. Use `pinepaper_tool_guide` for a tool family or `pinepaper_query_capabilities` for a specific missing capability. The server schema wins over examples in these files. 3. Call `pinepaper_agent_start_job` with the canvas preset and a description of the teaching claim. Plan positions and labels at the size the learner will see in the course viewer. 4. Use one `pinepaper_agent_batch_execute` for the base scene when its operations cover the job. Reuse its `$0`, `$1`, and later item references. Call a specialized tool, such as `pinepaper_create_chart`, `pinepaper_equation_path`, or `pinepaper_physics`, when the scene needs that capability. Do not approximate a chart or physical rule with decorative movement. Check the returned result of every operation. 5. Run `pinepaper_validate_scene`. Inspect the initial state and a meaningful changed state with a screenshot or playback. Check labels, scales, arrow meanings, clipping, and whether the graph and motion agree. Repair failed operations or unwired relations before finishing. 6. Call `pinepaper_agent_end_job`, inspect its final image, then export through `pinepaper_agent_export` or the specialized export tool required by the deliverable. Open the exported file. A correct editor scene is not proof that its export works. Use named tools for ordinary production. Use `pinepaper_execute_custom_code` only for a bounded scene behavior the tool surface cannot express, and check the generated values against the lesson's model. A visually plausible model is still a model. Label measured data, sourced data, assumptions, and simulated outputs distinctly. ## Hand off a checked artifact Return the file, MIME type, title, purpose, source or model assumptions, and one learner question to the lesson coordinator. The coordinator alone updates the lesson and registers the artifact. Check the export in the course viewer before calling it ready. If the server is unavailable, use its diagnostic report when available, make one error-based correction, and report the remaining limitation. Never describe an unmade scene as finished.
From madhvantyagi/Gnos, MIT.
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Compare and alternatives
Featured in
Signals
- Stars
- 342
- Forks
- 25
- Open issues
- 2
- Last commit (this folder)
- Sep 30, 2026 (27 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/madhvantyagi/Gnos
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from madhvantyagi
- 0.802score
course-viewer
madhvantyagi
Show an enrolled course and its lessons.
SkillAFreshness: A★ 342Claude Code +9 - 0.802score
subject
madhvantyagi
Select the lead subject, supporting bridges, teacher, sources, and field-specific teaching guidance for a learning goal.
SkillAFreshness: A★ 342Claude Code +9 - 0.802score
course-design
madhvantyagi
Design and revise a course's goal, progression, prerequisites, and sources.
SkillAFreshness: A★ 342Claude Code +9 - 0.802score
jsxgraph
madhvantyagi
Build and inspect mathematical graphs and coordinate constructions with JSXGraph when a learner needs to connect an equation to a shape, solve graphically, or…
SkillAFreshness: A★ 342Claude Code +9 - 0.802score
learning-orchestrator
madhvantyagi
Entry point.
SkillAFreshness: A★ 342Claude Code +9 - 0.802score
lesson-design
madhvantyagi
Develop the current topic into a connected lesson.
SkillAFreshness: A★ 342Claude Code +9
Cite this page
pinepaper skill. Agent Mart. https://agentmart.dev/skills/madhvantyagi-pinepaper (last updated 2026-10-24)