Machine Learning Roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and machine learning roadmap, python, data, data-science.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/ckchzh/ml-roadmapMachine Learning Roadmap
A thorough content toolkit for planning and tracking your machine learning learning journey. Draft study plans, organize topics, create outlines, schedule learning sessions, and manage your ML education roadmap — all from the command line.
Commands
| Command | Description |
|---|---|
ml-roadmap draft <input> | Draft a new ML learning plan or content entry |
ml-roadmap edit <input> | Edit an existing entry or refine content |
ml-roadmap optimize <input> | Optimize content for clarity or effectiveness |
ml-roadmap schedule <input> | Schedule learning sessions or content publication |
ml-roadmap hashtags <input> | Generate relevant hashtags for ML topics |
ml-roadmap hooks <input> | Create engaging hooks for ML content |
ml-roadmap cta <input> | Generate call-to-action text for ML resources |
ml-roadmap rewrite <input> | Rewrite content with improved structure |
ml-roadmap translate <input> | Translate ML content between languages |
ml-roadmap tone <input> | Adjust the tone of ML content (formal, casual, etc.) |
ml-roadmap headline <input> | Generate compelling headlines for ML topics |
ml-roadmap outline <input> | Create structured outlines for ML subjects |
ml-roadmap stats | Show summary statistics across all entry types |
ml-roadmap export <fmt> | Export all data (formats: json, csv, txt) |
ml-roadmap search <term> | Search across all entries by keyword |
ml-roadmap recent | Show the 20 most recent activity log entries |
ml-roadmap status | Health check — version, disk usage, last activity |
ml-roadmap help | Show the built-in help message |
ml-roadmap version | Print the current version (v2.0.0) |
Each content command (draft, edit, optimize, etc.) works in two modes:
- Without arguments — displays the 20 most recent entries of that type
- With arguments — saves the input as a new timestamped entry
Data Storage
All data is stored as plain-text log files in ~/.local/share/ml-roadmap/:
- Each command type gets its own log file (e.g.,
draft.log,edit.log,outline.log) - Entries are stored in
timestamp|valueformat for easy parsing - A unified
history.logtracks all activity across command types - Export to JSON, CSV, or TXT at any time with the
exportcommand
Set the ML_ROADMAP_DIR environment variable to override the default data directory.
Requirements
- Bash 4.0+ (uses
set -euo pipefail) - Standard Unix utilities:
date,wc,du,tail,grep,sed,cat - No external dependencies or API keys required
When to Use
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-ckchzh-ml-roadmap": {
"enabled": true,
"auto_update": true
}
}
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