Context Awesome
REMOTEbh-rat/context-awesomeProvide your AI agents with instant access to the best curated resources from over 8,500 awesome lists and more than 1 million items. Discover relevant sections and retrieve high-quality references for deep research, learning, and knowledge work. Enhance your agents' ability to find vetted tools and libraries across a wide range of topics efficiently.
Endpoint
https://context-awesome--bh-rat.run.toolsTools (2)
find_awesome_section
Discovers sections/categories across awesome lists matching a search query and returns matching sections from awesome lists.
You MUST call this function before 'get_awesome_items' to discover available sections UNLESS the user explicitly provides a githubRepo or listId.
Selection Process:
1. Analyze the query to understand what type of resources the user is looking for
2. Return the most relevant matches based on:
- Name similarity to the query and the awesome lists section
- Category/section relevance of the awesome lists
- Number of items in the section
- Confidence score
Response Format:
- Returns matching sections of the awesome lists with metadata
- Includes repository information, item counts, and confidence score
- Use the githubRepo or listId with relevant sections from results for get_awesome_items
For ambiguous queries, multiple relevant sections will be returned for the user to choose from.
get_awesome_items
Retrieves items from a specific awesome list or section with token limiting. You must call 'find_awesome_section' first to discover available sections, UNLESS the user explicitly provides a githubRepo or listId.
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