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xmp4

Retrieve semantic symbol usage and call sites from indexed OSS libraries.

Updated Apr 20, 2026
Search Tags:#semantic search#code exploration#code intelligence#call graph#test discovery#scip#oss libraries
One-click install
npx skills add https://github.com/0ics-srls/lsai-xmp4.public --skill xmp4
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xmp4
Source: https://github.com/0ics-srls/lsai-xmp4.public/tree/main/skills/xmp4
Command: npx skills add https://github.com/0ics-srls/lsai-xmp4.public --skill xmp4

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the friction of manually grepping through open-source library source code to understand how APIs work, find real usage examples, or locate relevant tests, which wastes AI tokens and returns noisy, unreliable text matches.

Core Features & Use Cases

  • Semantic symbol lookup: Instantly retrieve accurate method signatures, source bodies, and type hierarchies for any symbol in 856+ indexed OSS libraries across 10+ programming languages.
  • Real usage and test tracing: Get actual callers, callees, and tests that exercise a specific symbol, so you see idiomatic usage patterns instead of guessing from incomplete documentation.
  • Use case example: If you need to understand how Flask.wsgi_app is used in real projects, this Skill returns its exact signature, source body, and all verified call sites in a fraction of the tokens required for manual source grepping.

Quick Start

Use the xmp4 skill to find all real tests that exercise the requests.Session.send method in the requests library and show the first relevant test file excerpt.

Frequently Asked Questions about xmp4

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find callers and callees for a specific method in an open-source library without cloning the repository?▼

Semantic code intelligence uses SCIP-backed indexing to instantly retrieve caller and callee graphs for specific methods across 856+ indexed OSS libraries. This eliminates the need to clone repositories or manually grep through source code to find symbol usage.

Can I retrieve accurate method signatures and type hierarchies for Python, TypeScript, Java, Rust, and C# libraries?▼

Yes, semantic symbol lookup retrieves accurate method signatures, source bodies, and type hierarchies across 10+ supported programming languages including Python, TypeScript, Java, Rust, and C#. This coverage spans 856+ indexed open-source libraries.

What is the best way to locate real test coverage and idiomatic usage examples for third-party OSS APIs?▼

Real usage and test tracing locates actual tests that exercise a specific symbol in third-party OSS APIs. You see verified test locations and idiomatic usage patterns directly from indexed libraries instead of guessing from incomplete documentation.

Does semantic code search work for understanding Flask or requests library internals without wasting tokens on manual text searching?▼

Yes, semantic code search delivers precise insights for understanding Flask or requests library internals without wasting tokens on manual text searching. It returns exact signatures, source bodies, and verified call sites for symbols like Flask.wsgi_app or requests.Session.send.

How do I get the source body and exact signature of a symbol across multiple programming languages?▼

You can retrieve the source body and exact signature of a symbol by applying semantic code intelligence via SCIP-backed indexing. This works across 10+ programming languages, providing precise code exploration without local repository clones.

Why does grepping open-source library source code return noisy and unreliable text matches for API usage?▼

Grepping open-source library source code returns noisy matches because it relies on manual text searching rather than semantic understanding. SCIP-backed indexing solves this by providing precise symbol signatures, call sites, and type hierarchies without manual parsing effort.

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