maedoc/autotvb/concise-code
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Write lean, non-redundant TVB notebooks. Use when the driver creates plots or analysis sections to prevent verbose/redundant output that wastes tokens. Triggers on figure, plot, subplot, print, display, verbose, redundant, duplicate analysis.
Install
npx vskill@latest install maedoc/autotvb/concise-codeSKILL.md
Concise Code for TVB Notebooks
Rules
- One figure per scientific claim. If the goal asks for "PSD and FC", make exactly two figure blocks — not five.
- No diagnostic prints. Remove
print(x.shape),print(type(y)),print('Step done')from final notebooks. These are debugging artifacts. - No redundant plots. If raw and annotated heatmaps show the same data, keep only the annotated one.
- Consolidate subplots. Use
fig, axes = plt.subplots(1, N, ...)for side-by-side comparisons instead of N separateplt.figure()blocks. - No summary cells that repeat earlier output. A final markdown cell with 2–3 sentence takeaway is fine; do not re-print arrays or re-plot data.
- Avoid boilerplate re-configuration. If
Connectivity.from_file()+.speed = 4.0+configure()appears once, don't repeat it in a later cell. Store the object and reuse.
Code patterns
Redundant (bad):
Concise (good):
Token budget
Every code cell costs tokens in the prompt. A 20-cell notebook with 3 redundant sections costs ~20% more tokens for zero scientific gain. Target ≤12 code cells for standard goals, ≤16 for complex multi-requirement goals.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills-in-progress/driver/concise-code/SKILL.md
Popularity
- 7-day trend score
- 5
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