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Updated 24 days ago

agentskills-hub

Ddeletexiumu
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deletexiumu/agentskills-hub
82
Agent Score

💡 Summary

AgentSkills-Hub provides tools and templates for developing and managing AI agent skills across multiple languages.

🎯 Target Audience

AI developersData scientistsProduct managersSoftware engineersTech enthusiasts

🤖 AI Roast:A skill hub that’s more organized than my sock drawer.

Security AnalysisMedium Risk

The project may expose risks related to filesystem access during installation and execution of scripts. To mitigate, ensure proper permissions and validate input data.

AgentSkills-Hub

A universal agent skill development and management repository: providing specifications, templates, and script tools for quickly creating, validating, and packaging distributable skills.

中文 | 日本語

Key Features

  • Multi-language Support (ZH/EN/JA): All public skills support Chinese, English, and Japanese output
  • Zero-dependency Runtime: Core functionality works with Python 3.10+ only, no external packages required
  • Graceful Degradation: Works without LLM/network; optional AI-powered translation
  • Production-ready Templates: Battle-tested skill templates with i18n support built-in

Installation

One-line Install (Recommended)

Install skills directly using skills.sh:

# Install all skills from this repository npx skills add deletexiumu/AgentSkills-Hub # Or install a specific skill npx skills add deletexiumu/AgentSkills-Hub/ai-news-digest npx skills add deletexiumu/AgentSkills-Hub/smart-data-query npx skills add deletexiumu/AgentSkills-Hub/x-ai-digest

Manual Install

# For Claude Code mkdir -p ~/.claude/skills git clone https://github.com/deletexiumu/AgentSkills-Hub.git cp -R AgentSkills-Hub/skills/public/* ~/.claude/skills/ # For Codex mkdir -p ~/.codex/skills cp -R AgentSkills-Hub/skills/public/* ~/.codex/skills/

For more details, see: docs/skill-installation.md.


Quick Start (Create Your Own Skill)

Create a new skill (example: place it in skills/public):

python3 scripts/init_skill.py my-skill --path skills/public --resources scripts,references,assets

Validate and package:

python3 scripts/validate_skill.py skills/public/my-skill python3 scripts/validate_i18n.py skills/public/my-skill # i18n check python3 scripts/package_skill.py skills/public/my-skill dist

For more workflows and specifications, see: docs/skill-workflow.md.


Available Skills

| Skill | Description | Highlights | |-------|-------------|------------| | ai-news-digest | Multi-source AI news aggregation and digest generation | 20+ sources, auto-dedup, 5 categories, image export | | smart-data-query | Intelligent data warehouse Q&A with executable SQL output | Auto-iteration, business questionnaire, Q&A logging | | x-ai-digest | X platform AI news scraper with reply suggestions | Browser automation, share card generation |


ai-news-digest

Multi-source AI news aggregation and digest generation with deduplication, classification, and source tracing.

Automatically fetches news from 20+ AI sources (OpenAI, Anthropic, DeepMind, Google AI, TechCrunch, Hugging Face, etc.), intelligently deduplicates and categorizes, and generates daily briefings in Markdown/JSON/Image format.

Why ai-news-digest?

| Advantage | Description | |-----------|-------------| | 20+ Curated Sources | OpenAI, Anthropic, DeepMind, Google AI, Meta AI, TechCrunch, Hugging Face, arXiv, and more | | Smart Deduplication | Same news from multiple sources automatically merged with cross-references | | 5 Theme Categories | Research / Products / Open Source / Funding / Policy - auto-classified | | Multi-language Output | Chinese, English, Japanese - use --lang zh/en/ja | | Natural Language Time | "today", "yesterday", "2026-01-20" - all supported | | Zero Dependencies | Only Python 3.10+ required for core functionality | | Multiple Output Formats | Markdown, JSON, shareable PNG images | | Graceful Degradation | Works without LLM; optional AI translation (Anthropic/OpenAI) |

Usage Examples

In Claude Code / Codex conversation:

# Chinese
"Use ai-news-digest to generate today's AI news digest"

# English
"Use ai-news-digest to generate today's AI news in English"

# Japanese
"ai-news-digest で今日のAIニュース要約を日本語で作成して"

CLI:

cd skills/public/ai-news-digest/scripts # Default (Chinese) python run.py --day today # English output python run.py --day yesterday --lang en # Japanese output python run.py --day today --lang ja # Export shareable image python run.py --day today --format image --image-preset landscape

Installation

# One-line install (recommended) npx skills add deletexiumu/AgentSkills-Hub/ai-news-digest # Or manual install for Claude Code mkdir -p ~/.claude/skills cp -R skills/public/ai-news-digest ~/.claude/skills/ai-news-digest

See: ai-news-digest/SKILL.md


smart-data-query

Intelligent data warehouse Q&A: input business requirements + DWH catalog, output executable SQL queries.

Transform natural language business requirements into production-ready SQL queries by intelligently searching your data warehouse catalog.

Why smart-data-query?

| Advantage | Description | |-----------|-------------| | Catalog-aware | Builds index from ADS/DWS/DWT tables, DDL, and ETL scripts | | Progressive Loading | Only loads relevant tables, keeps context minimal | | Multi-dialect Support | Hive, SparkSQL, GaussDB - handles syntax differences | | Business Questionnaire | Structured template ensures no requirements missed | | Q&A Logging | Every session logged for iteration and improvement | | Auto-iteration | Bad cases trigger automatic questionnaire optimization | | Static Validation | Checks field existence, join keys, partition pruning |

Usage Examples

# Chinese
"Use smart-data-query: query new users by channel for last 7 days"

# English
"Use smart-data-query: SQL for daily active users by channel"

# Japanese
"smart-data-query:チャネル別DAUを取得するSQLを作成して"

See: smart-data-query/SKILL.md


x-ai-digest

Scrape AI-related posts from X platform's "For You" feed, generate daily digest with reply suggestions.

Connects to your logged-in browser, scrapes AI-related posts from X's recommendation feed, and generates structured daily briefings with intelligent reply suggestions.

Why x-ai-digest?

| Advantage | Description | |-----------|-------------| | Real-time X Content | Scrapes live "For You" feed, not cached data | | AI Topic Filtering | Smart keyword matching for AI-related content | | Reply Suggestions | AI-generated reply ideas in original language | | Share Card Generation | Beautiful PNG cards for WeChat/social sharing | | Browser Integration | Uses your existing login, no API keys needed | | Multi-language Output | Digest and suggestions in ZH/EN/JA |

Usage Examples

# Chinese
"Use x-ai-digest to scrape today's AI hot topics from X"

# English
"Use x-ai-digest to summarize AI posts from yesterday in English"

# Japanese
"x-ai-digest で今日のAI関連投稿を日本語で要約して"

See: x-ai-digest/SKILL.md


i18n Specification

All public skills follow the i18n specification:

  • Frontmatter: description: [ZH] 中文;[EN] English;[JA] 日本語
  • Examples Block: Invoke examples in all three languages
  • CLI Parameter: --lang auto|zh|en|ja
  • Natural Language: Time expressions in all languages (today/今天/今日)

Validate i18n compliance:

python scripts/validate_i18n.py skills/public/ai-news-digest

Contributing

  1. Fork this repository
  2. Create your skill using scripts/init_skill.py
  3. Follow the i18n specification in docs/skill-i18n.md
  4. Validate with validate_skill.py and validate_i18n.py
  5. Submit a pull request

License

MIT

5-Dim Analysis
Clarity8/10
Novelty7/10
Utility9/10
Completeness8/10
Maintainability9/10
Pros & Cons

Pros

  • Multi-language support
  • Zero-dependency runtime
  • Production-ready templates
  • Graceful degradation

Cons

  • Limited to Python 3.10+
  • Dependency on external scripts for full functionality
  • Requires manual setup for some skills
  • Potential learning curve for new users

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Copyright belongs to the original author deletexiumu.