algal/sparky/solveit-notebook

Claude Code and agent skill by algal/sparky

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Create, read, and open SolveIt notebooks (.ipynb) using local wrappers.

Install

npx vskill@latest install algal/sparky/solveit-notebook

SKILL.md

Use this skill when the user asks to prepare a notebook, open something in SolveIt, or summarize an existing .ipynb.

Wrapper discovery

Run this once to locate the workspace root containing this skill:

bash
ROOT="$HOME/.openclaw/workspace"
if [[ ! -x "$ROOT/skills/solveit-notebook/bin/create_ipynb" ]]; then ROOT="/home/algal/ws-sparky"; fi
if [[ ! -x "$ROOT/skills/solveit-notebook/bin/create_ipynb" ]]; then ROOT="/home/algal/gits/sparky/openclaw_configs/workspace"; fi

All commands below assume those wrappers exist under: $ROOT/skills/solveit-notebook/bin/

Commands

1) Create notebook
bash
"$ROOT/skills/solveit-notebook/bin/create_ipynb" /absolute/or/relative/path/demo.ipynb \
--title "Notebook title" \
--summary "What this notebook demonstrates" \
--code "print('hello from solveit notebook')"

Alternative (convert existing markdown/python source with jupytext):

bash
"$ROOT/skills/solveit-notebook/bin/create_ipynb" /path/out.ipynb --from /path/source.md
2) Read notebook
bash
"$ROOT/skills/solveit-notebook/bin/read_ipynb" /path/demo.ipynb

This returns a compact JSON summary of cells and metadata.

3) Open in SolveIt
bash
"$ROOT/skills/solveit-notebook/bin/open_solveit" /path/demo.ipynb

This wraps opensolveit. It returns JSON including:

  • url when detected (even if browser auto-open failed)
  • ok status
  • command output for debugging

Typical flow for "prepare and open a SolveIt notebook"

  1. Create notebook with create_ipynb.
  2. Optionally inspect with read_ipynb.
  3. Open it with open_solveit.
  4. Report success and include the URL if available.

Notes

  • create_ipynb writes valid notebook JSON (nbformat: 4).
  • If target exists, pass --overwrite explicitly.
  • Prefer concise demo notebooks (1 markdown + 1 code cell) unless asked for more.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
65
Repository forks
8
7-day trend score
21

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 3 Apr 2026, 7 months ago.

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