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// Skill profile

Dataset Loader

version: "1.0.0"

by bytesagain · published 2026-03-22

日历管理数据处理
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2026-03
// Install command
$ claw add gh:bytesagain/bytesagain-dataset-loader
View on GitHub
// Full documentation

---

version: "1.0.0"

name: Datasets

description: "🤗 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."

---

# 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|value` pairs (pipe-delimited)
  • All actions are tracked in `history.log` with timestamps
  • Export generates files in the data directory (`export.json`, `export.csv`, or `export.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

    # 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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