Skill: bytesagain-lab/dataview (version 2.0.0)

--- name: DataView description: "Explore CSV and JSON files with quick queries, filters, and aggregation. Use when inspecting data, running queries, filtering rows, aggregating." version: "2.0.0" author: "BytesAgain" homepage: https://bytesagain.com source: https://github.com/bytesagain/ai-skills tags: ["data","csv","json","analysis","statistics","viewer","explorer","developer"] categories: ["Developer Tools", "Data Analysis", "Utility"] --- # DataView A data processing toolkit for ingesting, transforming, querying, and managing data entries from the command line. All operations are logged with timestamps and stored locally. ## Commands ### Data Operations Each data command works in two modes: run without arguments to view recent entries, or pass input to record a new entry. | Command | Description | |---------|-------------| | `dataview ingest <input>` | Ingest data — record a new ingest entry or view recent ones | | `dataview transform <input>` | Transform data — record a transformation or view recent ones | | `dataview query <input>` | Query data — record a query or view recent ones | | `dataview filter <input>` | Filter data — record a filter operation or view recent ones | | `dataview aggregate <input>` | Aggregate data — record an aggregation or view recent ones | | `dataview visualize <input>` | Visualize data — record a visualization or view recent ones | | `dataview export <input>` | Export data — record an export entry or view recent ones | | `dataview sample <input>` | Sample data — record a sample or view recent ones | | `dataview schema <input>` | Schema management — record a schema entry or view recent ones | | `dataview validate <input>` | Validate data — record a validation or view recent ones | | `dataview pipeline <input>` | Pipeline management — record a pipeline step or view recent ones | | `dataview profile <input>` | Profile data — record a profile or view recent ones | ### Utility Commands | Command | Description | |---------|-------------| | `dataview stats` | Show summary statistics — entry counts per category, total entries, disk usage | | `dataview export <fmt>` | Export all data to a file (formats: `json`, `csv`, `txt`) | | `dataview search <term>` | Search all log files for a term (case-insensitive) | | `dataview recent` | Show last 20 entries from activity history | | `dataview status` | Health check — version, data directory, entry count, disk usage, last activity | | `dataview help` | Show available commands | | `dataview version` | Show version (v2.0.0) | ## Data Storage All data is stored locally at `~/.local/share/dataview/`: - Each data command writes to its own log file (e.g., `ingest.log`, `transform.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 data processing operations (ingest, transform, query, etc.) - To maintain a searchable history of data viewing and analysis activities - To export accumulated records in JSON, CSV, or plain text format - As part of larger automation or data inspection workflows - When you need a lightweight, local-only data operation tracker ## Examples ```bash # Record a new ingest entry dataview ingest "loaded sales_report.csv 2500 rows" # View recent transform entries dataview transform # Record a query dataview query "top 10 products by revenue" # Filter data dataview filter "region=APAC" # Search across all logs dataview search "sales" # Export everything as CSV dataview export csv # Check overall statistics dataview stats # View recent activity dataview recent # Health check dataview status ``` --- Powered by BytesAgain | bytesagain.com | [REDACTED_SECRET] 💬 Feedback & Feature Requests: https://bytesagain.com/feedback


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