BytesAgain is a curated directory of 60,000+ AI agent skills from ClawHub, GitHub, LobeHub, and Dify. Search skills by keyword in 7 languages, browse by role (developer, creator, trader, marketer) or by use case.

How do I find AI skills on BytesAgain?

Use the search bar on BytesAgain.com to search by keyword in 7 languages. You can also browse by role (developer, creator, trader, marketer) or by use case. Each skill shows install instructions for Claude, Cursor, OpenClaw, Continue, and more.

Yes, BytesAgain is completely free. No registration required for searching skills. The MCP API is also free with rate limits.

Does BytesAgain have an API for AI agents?

Yes! BytesAgain provides a free MCP SSE endpoint at /api/mcp/sse for AI agents, plus a REST API at /api/mcp?action=search&q= . No authentication needed.

Can I request a new AI skill on BytesAgain?

Yes! Visit the Requests page on BytesAgain.com to submit a skill request. Your request will be visible to the community and notified to the site admin.

🦀 ClawHub✦ BytesAgain

Dataview

by @bytesagain-lab

Explore CSV and JSON files with quick queries, filters, and aggregation. Use when inspecting data, running queries, filtering rows, aggregating.

Versionv2.0.0

Downloads614

Installs1

#data #legal

View on ClawHub →

TERMINAL

clawhub install dataview

📖 About This Skill

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 | Ingest data — record a new ingest entry or view recent ones | | dataview transform | Transform data — record a transformation or view recent ones | | dataview query | Query data — record a query or view recent ones | | dataview filter | Filter data — record a filter operation or view recent ones | | dataview aggregate | Aggregate data — record an aggregation or view recent ones | | dataview visualize | Visualize data — record a visualization or view recent ones | | dataview export | Export data — record an export entry or view recent ones | | dataview sample | Sample data — record a sample or view recent ones | | dataview schema | Schema management — record a schema entry or view recent ones | | dataview validate | Validate data — record a validation or view recent ones | | dataview pipeline | Pipeline management — record a pipeline step or view recent ones | | dataview profile | 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 | Export all data to a file (formats: json, csv, txt) | | dataview search | 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

# 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 | hello@bytesagain.com 💬 Feedback & Feature Requests: https://bytesagain.com/feedback

⚡ When to Use

Trigger	Action
- 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

# 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 | hello@bytesagain.com 💬 Feedback & Feature Requests: https://bytesagain.com/feedback