What is the primary purpose of the APEX Research skill?

It serves as the initial discovery phase for any coding task, gathering intelligence through parallel agents to ensure Claude has full context before writing code.

Can this skill analyze external documentation?

Yes, its Web Researcher agent can search for official documentation and best practices to supplement the information found within your local codebase.

How does it handle unclear or vague user prompts?

The skill includes an 'Ambiguity Gate' that identifies vague goals or technical choices and prompts the user for clarification before proceeding with deep research.

Where are the research findings saved?

All research data, patterns, and insights are synthesized into a persistent task file located in the ./.apex/tasks/ directory.

What kind of agents are deployed during the research phase?

It spawns specialized agents including an Intelligence Gatherer, Pattern Extractor, Web Researcher, Git Historian, and Risk Analyst.

APEX Research Intelligence

Name: APEX Research Intelligence
Author: benredmond

bybenredmond

Productivity & Workflow

Orchestrates parallel AI agents to conduct deep codebase analysis, pattern extraction, and technical discovery.

About

APEX Research is the foundational intelligence-gathering phase of the APEX workflow, designed to eliminate ambiguity before development starts. It spawns multiple specialized agents—including Git historians, pattern extractors, and web researchers—to build a comprehensive 'Intelligence Report' for any given task. By analyzing existing patterns, historical regressions, and technical documentation, it creates a structured source of truth that ensures implementation plans are grounded in the actual state of your codebase and industry best practices.

Key Features

Technical Adequacy Gating to Assess Implementation Risk
Automated Ambiguity Detection and Requirement Optimization
Parallel Multi-Agent Orchestration for Git, Patterns, and Docs
Structured Intelligence Reporting and Task File Generation
0 GitHub stars
Deep Codebase Triage and Implementation Pattern Extraction

Use Cases

Onboarding to unfamiliar legacy codebases by extracting existing patterns
Clarifying vague ticket descriptions into testable acceptance criteria
Conducting pre-implementation analysis for complex feature requests

About

Key Features

Technical Adequacy Gating to Assess Implementation Risk
Automated Ambiguity Detection and Requirement Optimization
Parallel Multi-Agent Orchestration for Git, Patterns, and Docs
Structured Intelligence Reporting and Task File Generation
0 GitHub stars
Deep Codebase Triage and Implementation Pattern Extraction

Use Cases

Onboarding to unfamiliar legacy codebases by extracting existing patterns
Clarifying vague ticket descriptions into testable acceptance criteria
Conducting pre-implementation analysis for complex feature requests