Parse and query SCIP index data for symbol lookup and navigation.
npx skills add https://github.com/hafley66/claude-research --skill scip-consuming
Please help me install this Agent Skill. Skill: scip-consuming Source: https://github.com/hafley66/claude-research/tree/main/skills/scip/scip-consuming Command: npx skills add https://github.com/hafley66/claude-research --skill scip-consuming
This Skill helps teams decode and navigate SCIP index data by providing Rust and Go decoding guidance, streaming for memory efficiency, and practical patterns for symbol and range queries in tooling workflows.
Load an index.scip file and run a per-document symbol and range query workflow.
High-intent search queries and answers about installing and using this skill.
To parse a SCIP index file, you decode the protobuf schema using Go or Rust bindings, enabling per-document symbol lookup and position-based navigation. This approach supports streaming processing for memory efficiency on large codebases.
Streaming SCIP index files involves decoding per-document records incrementally rather than loading the entire file into memory. This method prevents out-of-memory errors when processing large codebases and enables efficient cross-document reference analysis.
SCIP symbol lookup works by decoding the protobuf index to build adjacency maps, linking definitions and references across different files. This enables fast position-based navigation and document-level adjacency queries for tooling workflows.
Yes, SCIP index data is explicitly designed for medium and large codebases. It provides utilities for streaming and symbol management, allowing tooling workflows to perform per-document analysis and cross-document navigation efficiently.
The SCIP protobuf schema supports building document-level adjacency maps by providing structured occurrence and relationship data. You decode this data to traverse symbol ranges and cross-document references for code navigation.
Streaming SCIP index data avoids the memory overhead of loading massive files entirely into RAM. By processing documents incrementally, you maintain application responsiveness and enable per-document analysis on large codebases without crashing.
hafley66Index multi-language codebases into SCIP index.scip files.
hafley66Encode code indexing data in a protobuf-based SCIP Index schema.
jasonmeansIntegrates with Sourcegraph to search code, commits, diffs, symbols, and DeepSearch across repositories.
elophantoIndexes LSP data from multiple languages into a unified semantic graph.
