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edulab

简体中文 · English

A collection of education skills that turn academic problems into interactive lesson web pages.

Install

Recommended — install with skills in one command:

npx skills add wy51ai/edulab

To update to the latest version later:

npx skills update

Or use it as a Claude Code plugin marketplace:

/plugin marketplace add wy51ai/edulab
/plugin install edulab

Once installed, the skills activate on their trigger words, and can also be invoked manually.

Skill: edu-solid-geometry

edu-solid-geometry demo

Solves one solid geometry problem into a self-contained interactive lesson page. Three entry points:

Entry point What it does
Text problem Extracts the statement and solves directly
Image upload Reads the problem from the image via vision, echoes it back for confirmation, then solves
Random problem Solves with random parameters; re-rolls if the answer isn't clean

Problem types covered: line-plane angle, dihedral angle, angle between skew lines, point-to-plane distance, volume, and more — on cubes / cuboids, pyramids / prisms, cylinders / cones. All solved uniformly via the "coordinate system + vector method."

Trigger words: solid geometry, line-plane angle, dihedral angle, angle between skew lines, distance to plane, interactive geometry solution page; 立体几何、线面角、二面角、异面直线、点到平面距离、正四棱锥、解这道几何题、随机出一道立体几何题、这张图里的立体几何题, etc.

Dependency

The compute core lib/geometry_kernel.py depends on sympy. Use any python3 that can import sympy:

python3 -m pip install sympy   # if sympy is missing

Generate from the command line (without Claude)

cd skills/edu-solid-geometry
python3 scripts/generate.py cube   ./cube.html     # cube · line-plane angle
python3 scripts/generate.py box    ./box.html      # cuboid · volume
python3 scripts/generate.py random 7 ./random.html # random problem (seed=7)
python3 lib/geometry_kernel.py                     # kernel built-in self-check

If you don't pass an output path, it writes to the current working directory (cwd).

Skill: edu-analytic-geometry

edu-analytic-geometry demo

Solves one analytic geometry (conic sections) problem into a self-contained interactive lesson page. Same three entry points as above (text / image / random). Built on a 2D Canvas board + KaTeX with a generic, data-driven interactive engine: a parameter slider drives derived constructions (line∩conic, point-on-conic, central reflection, tangent…) and live readouts, with a theoretical-range bar or a fixed-value indicator.

Problem types covered: standard equation, chord length, dot-product range / fixed value, triangle-area extremum, fixed point, fixed value (slope product), locus, tangent, eccentricity — on ellipses / hyperbolas / parabolas / circles. All solved uniformly via "parametrized line x = my + c + system + Vieta's formulas + substitution."

A correctness note baked into the kernel: open/closed interval endpoints are decided by whether a real line attains them, so the boxed answer always matches what the interactive tool shows (e.g. the ellipse MA·MB range is the closed [-3, 7/4] — slide θ to 0° and you read exactly −3).

Trigger words: analytic geometry, conic sections, ellipse, hyperbola, parabola, chord length, dot product range, fixed point, fixed value, locus, eccentricity, interactive analytic geometry solution page; 解析几何、圆锥曲线、椭圆、双曲线、抛物线、焦点弦、向量数量积取值范围、定点问题、定值问题、斜率之积、三角形面积最值、轨迹方程、离心率, etc.

Dependency

The compute core lib/analytic_kernel.py depends on sympy (same as above).

Generate from the command line (without Claude)

cd skills/edu-analytic-geometry
python3 scripts/generate.py list                          # list registered problem types
python3 scripts/generate.py ellipse_dot_range ./sol.html  # ellipse · MA·MB range [-3, 7/4]
python3 scripts/generate.py parabola_dot_const ./sol.html # parabola focal chord · OA·OB ≡ -3
python3 scripts/generate.py all ./out_dir                 # all registered types
python3 lib/analytic_kernel.py                            # kernel built-in self-check

Like above, no output path → writes to the current working directory (cwd).

How it works

  1. Get a problem spec — normalize all three entry points into a structured description (body type and dimensions, given conditions, the quantity asked, language).
  2. Exact kernel computation — sympy computes exact coordinates, key vectors, normals, the final answer, and every intermediate value (as LaTeX strings). Never by hand.
  3. Assemble and inject the template — feed the lesson / steps / model data into the data-driven template template/lesson.html; 3D vertex coordinates come from kernel.to_three(...), sharing the same source as the solution.
  4. Self-check — kernel answer == answer card == final value shown in the last step; a local static server + preview check confirms no console errors and correct formula/highlight rendering.
  5. Deliver — the finished page is written to the user's current working directory, named like solution-<short-description>.html.

Project structure

edulab/
├── .claude-plugin/
│   ├── plugin.json              # plugin metadata
│   └── marketplace.json         # marketplace manifest
├── index.html                   # finished sample (quad pyramid · line-plane angle)
└── skills/
    ├── edu-solid-geometry/      # solid geometry — 3D (Three.js) + MathJax
    │   ├── SKILL.md
    │   ├── template/lesson.html # data-driven template (generic 3D renderer + data island)
    │   ├── lib/
    │   │   ├── geometry_kernel.py  # sympy exact-computation core
    │   │   └── bodies.py           # edge-topology library for solids
    │   ├── scripts/generate.py
    │   ├── output/
    │   └── references/          # problem-schema.md · conventions.md
    └── edu-analytic-geometry/   # analytic geometry / conics — 2D (Canvas) + KaTeX
        ├── SKILL.md
        ├── template/board.html  # data-driven template (generic 2D renderer + param engine)
        ├── lib/
        │   ├── analytic_kernel.py  # sympy exact-solver core (system · Vieta · range · fixed value)
        │   └── conics.py           # conic-section definition library
        ├── scripts/generate.py
        ├── output/
        └── references/          # problem-schema.md · conventions.md

Extending

edu-solid-geometry

  • Add a problem type: add a solver function in geometry_kernel.py (see the recipe table in references/conventions.md), then add a build_* in generate.py.
  • Add a solid: add a coordinate-construction function in geometry_kernel.py, then add its edge topology in bodies.py.

edu-analytic-geometry

  • Add a problem type: add a target-quantity function in analytic_kernel.py and reuse range_over_m / is_constant_in_m, then add a build_* in generate.py (pick an interaction: range bar / fixed value / fixed point / locus trace).
  • Add a curve: ellipse / hyperbola / parabola / circle are built in; new curves go in conics.py and the board.html engine.

License

Apache-2.0

Author

WY · @akokoi1

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