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// Skill profile

Terminal Dashboard

version: "1.0.0"

by bytesagain3 · published 2026-03-22

邮件处理数据处理
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Last updated
2026-03
// Install command
$ claw add gh:bytesagain3/bytesagain3-terminal-dashboard
View on GitHub
// Full documentation

---

version: "1.0.0"

name: Sampler

description: "Tool for shell commands execution, visualization and alerting. Configured with a simple YAML file. terminal-dashboard, go, alerting, charts, cmd."

---

# Terminal Dashboard

Terminal Dashboard v2.0.0 — a data toolkit for building data pipelines and tracking data operations from the command line. Ingest, transform, query, filter, aggregate, and visualize your data — all logged locally with timestamps for full traceability.

Why Terminal Dashboard?

  • Works entirely offline — your data never leaves your machine
  • Simple command-line interface, no GUI needed
  • Timestamped logging for every operation
  • Export to JSON, CSV, or plain text anytime
  • Automatic history and activity tracking
  • Searchable records across all data pipeline stages
  • Getting Started

    # See all available commands
    terminal-dashboard help
    
    # Check current health status
    terminal-dashboard status
    
    # View summary statistics
    terminal-dashboard stats

    Commands

    Data Pipeline Commands

    Each command works in two modes: run without arguments to view recent entries, or pass input to record a new entry.

    | Command | Description |

    |---------|-------------|

    | `terminal-dashboard ingest <input>` | Record data ingestion events (file imports, API pulls, stream captures) |

    | `terminal-dashboard transform <input>` | Log data transformations (format conversions, cleaning steps, enrichments) |

    | `terminal-dashboard query <input>` | Record queries executed (SQL, API calls, search operations) |

    | `terminal-dashboard filter <input>` | Log filter operations (row filtering, column selection, deduplication) |

    | `terminal-dashboard aggregate <input>` | Record aggregation operations (group-by, rollups, summaries) |

    | `terminal-dashboard visualize <input>` | Log visualization outputs (charts generated, dashboards updated) |

    | `terminal-dashboard export <input>` | Record export operations (file writes, API pushes, report generation) |

    | `terminal-dashboard sample <input>` | Log sampling operations (random samples, stratified picks, head/tail) |

    | `terminal-dashboard schema <input>` | Record schema operations (schema detection, validation rules, migrations) |

    | `terminal-dashboard validate <input>` | Log validation results (data quality checks, constraint tests, anomalies) |

    | `terminal-dashboard pipeline <input>` | Record pipeline operations (end-to-end runs, DAG executions, orchestration) |

    | `terminal-dashboard profile <input>` | Log profiling results (data profiling, column stats, distribution analysis) |

    Utility Commands

    | Command | Description |

    |---------|-------------|

    | `terminal-dashboard stats` | Show summary statistics across all log categories |

    | `terminal-dashboard export <fmt>` | Export all data (formats: `json`, `csv`, `txt`) |

    | `terminal-dashboard search <term>` | Search across all entries for a keyword |

    | `terminal-dashboard recent` | Show the 20 most recent history entries |

    | `terminal-dashboard status` | Health check — version, data dir, entry count, disk usage |

    | `terminal-dashboard help` | Show the built-in help message |

    | `terminal-dashboard version` | Print version (v2.0.0) |

    Data Storage

    All data is stored locally in `~/.local/share/terminal-dashboard/`. Structure:

  • **`ingest.log`**, **`transform.log`**, **`query.log`**, etc. — one log file per command, pipe-delimited (`timestamp|value`)
  • **`history.log`** — unified activity log across all commands
  • **`export.json`** / **`export.csv`** / **`export.txt`** — generated export files
  • Each entry is stored as `YYYY-MM-DD HH:MM|<input>`. Use `export` to back up your data anytime.

    Requirements

  • Bash 4+ (uses `set -euo pipefail`)
  • Standard Unix utilities (`date`, `wc`, `du`, `tail`, `grep`, `sed`, `cat`)
  • No external dependencies or internet access needed
  • When to Use

    1. **Data pipeline logging** — Track every step of your ETL/ELT pipeline from ingestion through transformation to export, creating a complete audit trail

    2. **Data quality monitoring** — Use `validate` and `profile` to record data quality checks and catch anomalies before they reach production

    3. **Schema change tracking** — Log schema migrations and validation rules so you always know what changed and when

    4. **Ad-hoc analysis journaling** — Record queries, filters, and aggregations during exploratory analysis so you can reproduce your findings later

    5. **Pipeline debugging** — When a data pipeline breaks, search through ingest, transform, and export logs to pinpoint where things went wrong

    Examples

    # Record a data ingestion event
    terminal-dashboard ingest "Loaded 2.4M rows from sales_2024.csv into staging"
    
    # Log a transformation step
    terminal-dashboard transform "Normalized phone numbers, deduplicated by email — 12k dupes removed"
    
    # Record a query
    terminal-dashboard query "SELECT region, SUM(revenue) FROM sales GROUP BY region — 8 rows returned"
    
    # Log a validation check
    terminal-dashboard validate "Schema check passed: all 47 columns match expected types"
    
    # Record a pipeline run
    terminal-dashboard pipeline "Daily ETL completed: ingest→clean→aggregate→export in 4m 23s"
    
    # Export everything to JSON
    terminal-dashboard export json
    
    # Search logs for a dataset
    terminal-dashboard search "sales_2024"

    Output

    All commands output to stdout. Redirect to a file if needed:

    terminal-dashboard stats > pipeline-report.txt
    terminal-dashboard export csv

    Configuration

    Set `TERMINAL_DASHBOARD_DIR` environment variable to override the default data directory (`~/.local/share/terminal-dashboard/`).

    ---

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