Datasets
by bytesagain
🤗 The largest hub of ready-to-use dataset-loader for AI models with fast, easy-to-use and efficient data m dataset-loader, python, ai.
安装
claude skill add --url github.com/openclaw/skills/tree/main/skills/bytesagain/dataset-loader文档
Dataset Loader
A content creation and management toolkit for drafting, editing, optimizing, and scheduling content from the command line. All operations are logged with timestamps and stored locally.
Commands
Content Operations
Each content command works in two modes: run without arguments to view recent entries, or pass input to record a new entry.
| Command | Description |
|---|---|
dataset-loader draft <input> | Draft content — record a new draft or view recent ones |
dataset-loader edit <input> | Edit content — record an edit or view recent ones |
dataset-loader optimize <input> | Optimize content — record an optimization or view recent ones |
dataset-loader schedule <input> | Schedule content — record a schedule entry or view recent ones |
dataset-loader hashtags <input> | Generate hashtags — record hashtags or view recent ones |
dataset-loader hooks <input> | Create hooks — record a hook or view recent ones |
dataset-loader cta <input> | Create call-to-action — record a CTA or view recent ones |
dataset-loader rewrite <input> | Rewrite content — record a rewrite or view recent ones |
dataset-loader translate <input> | Translate content — record a translation or view recent ones |
dataset-loader tone <input> | Adjust tone — record a tone adjustment or view recent ones |
dataset-loader headline <input> | Create headline — record a headline or view recent ones |
dataset-loader outline <input> | Create outline — record an outline or view recent ones |
Utility Commands
| Command | Description |
|---|---|
dataset-loader stats | Show summary statistics — entry counts per category, total entries, disk usage |
dataset-loader export <fmt> | Export all data to a file (formats: json, csv, txt) |
dataset-loader search <term> | Search all log files for a term (case-insensitive) |
dataset-loader recent | Show last 20 entries from activity history |
dataset-loader status | Health check — version, data directory, entry count, disk usage, last activity |
dataset-loader help | Show available commands |
dataset-loader version | Show version (v2.0.0) |
Data Storage
All data is stored locally at ~/.local/share/dataset-loader/:
- Each content command writes to its own log file (e.g.,
draft.log,edit.log,hashtags.log) - Entries are stored as
timestamp|valuepairs (pipe-delimited) - All actions are tracked in
history.logwith timestamps - Export generates files in the data directory (
export.json,export.csv, orexport.txt)
Requirements
- Bash (with
set -euo pipefail) - Standard Unix utilities:
date,wc,du,grep,tail,cat,sed - No external dependencies or API keys required
When to Use
- To log and track content creation workflows (draft, edit, optimize, schedule)
- To maintain a searchable history of content operations
- To manage hashtags, hooks, CTAs, and headlines in a structured way
- To export accumulated content records in JSON, CSV, or plain text format
- As part of larger content automation pipelines
Examples
bash
# Draft new content
dataset-loader draft "Blog post about AI trends in 2026"
# View recent edits
dataset-loader edit
# Record hashtags
dataset-loader hashtags "#AI #MachineLearning #DataScience"
# Create a headline
dataset-loader headline "5 Ways AI Is Changing Data Science"
# Search across all logs
dataset-loader search "AI"
# Export everything as CSV
dataset-loader export csv
# Check statistics
dataset-loader stats
# View recent activity
dataset-loader recent
# Health check
dataset-loader status
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