octocode-research

Orchestrate code research workflows across local and remote sources via HTTP API.

904|77|Updated Jun 5, 2025
One-click install
npx skills add https://github.com/bgauryy/octocode-mcp --skill octocode-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: octocode-research
Source: https://github.com/bgauryy/octocode-mcp/tree/main/skills/octocode-research
Command: npx skills add https://github.com/bgauryy/octocode-mcp --skill octocode-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill enables rapid, evidence-based code research by wrapping MCP tools behind a unified HTTP API.

Core Features & Use Cases

  • Orchestrates deterministic code research workflows across local codebases (with LSP semantic navigation) and remote sources (GitHub/npm).
  • Enables multi-step tool chaining (Search → Go to Definition → Read) with built-in resilience (circuit breakers and retries).
  • Use cases include tracing code definitions, discovering call chains, locating usages, and reviewing PRs in large repositories.

Quick Start

Use the octocode-research skill to initiate a research session against a target repository and start executing tool calls via POST /tools/call/:toolName.

Frequently Asked Questions about octocode-research

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

FAQPage Schema
How do I automate code research across local codebases and remote GitHub repositories?

Automate code research by orchestrating multi-tool workflows through a unified HTTP API that supports local LSP semantic navigation and remote GitHub analysis. It chains operations like Search, Go to Definition, and Read to trace definitions and locate usages across both local and remote sources.

What is LSP semantic navigation for tracing code definitions and call chains?

LSP semantic navigation uses the Language Server Protocol to analyze code structure, enabling precise tracing of definitions, call chains, and usages. This skill wraps it behind an HTTP API to orchestrate multi-step research workflows with structured evidence in file:line citations.

How do I chain multiple MCP tools for code analysis without failing on errors?

Chain MCP tools for code analysis by executing multi-step workflows through a unified HTTP API that includes built-in resilience patterns like circuit breakers and retries. This ensures that operations such as Search and Go to Definition complete reliably even when errors occur.

Does this code research approach work with large GitHub repositories for PR reviews?

This code research approach works with large GitHub repositories by orchestrating deterministic research workflows across remote sources. It supports PR reviews by tracing definitions and locating usages with structured evidence, using circuit breakers and retries to maintain stability.

How do I get structured evidence with file and line citations from code research?

Get structured evidence with file and line citations by executing phase-driven research workflows through the unified HTTP API. The skill enforces structured output, ensuring that results from tracing code definitions and discovering call chains include precise file:line citations.

Why use a unified HTTP API for orchestrating MCP code research workflows?

Use a unified HTTP API for MCP code research to enforce phase-driven prompts and orchestrate multi-tool workflows consistently. It abstracts tool complexity, enabling rapid, evidence-based research across local codebases and remote GitHub sources with built-in resilience.