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AI EngineeringRust

AGTX Research

by fynnfluegge

AGTX Research is an AI Engineering skill for Claude Code, published by fynnfluegge in agtx.

1.2K stars111 forkson fynnfluegge/agtxAdded 2026/08/20Repository updated 2026/08/11
claudeclaude-codecodexcursorgeminiopencodespec-driven-developmentvibe-coding
Install in seconds
Install AGTX Research
Copy AGTX Research into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/fynnfluegge/agtx/tree/main/plugins/agtx-terse/skills/agtx-research ~/.claude/skills/agtx-research

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/fynnfluegge/agtx.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
plugins/agtx-terse/skills/agtx-research/SKILL.md in fynnfluegge/agtx
Installs to
~/.claude/skills/agtx-research
Collection
One of 7 skills cataloged from this repository
Category
AI Engineering โ€” 2451 skills

What AGTX Research does

AGTX Research explores the codebase to understand a task before planning, and writes findings to .agtx/research.md without modifying files. Use it during the research phase of an agtx-managed task to identify relevant files, architecture, complexity, and open questions.

AGTX Research is cataloged under AI Engineering on DirSkills. AGTX Research comes from a repository tagged claude, claude-code, codex, cursor and gemini.

Documentation

README

Research Phase

You are in the research phase of an agtx-managed task. This is a read-only exploration.

Input

The argument to this command is a task ID. Fetch the task description using the agtx MCP tool:

mcp__agtx__get_task(task_id: "<the id passed to this command>")

Use the description field as the task to work on.

Instructions

  1. Fetch the task description via get_task
  2. Explore the codebase to find relevant files, patterns, and architecture
  3. Identify dependencies, related code, and potential complexity
  4. Assess feasibility and estimate scope

Output

Write your findings to .agtx/research.md. Include:

Relevant Files

Key files and their roles โ€” what exists, what needs changing.

Architecture

How the relevant parts of the codebase fit together.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about AGTX Research

  • What else does fynnfluegge publish alongside AGTX Research?

    AGTX Research is one of 7 skills that DirSkills catalogs from fynnfluegge/agtx, the repository it ships in. Its siblings there include AGTX Execute, AGTX Review and Agtx Plan. Each one is a separate skill with its own page in this directory, installs the same way AGTX Research does, and is maintained by fynnfluegge in that same repository. The rest of the collection is listed on the fynnfluegge/agtx page.

  • How does AGTX Research compare to other AI Engineering skills?

    AGTX Research ranks #1143 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AGTX Research against them. Open each page to compare what they document and how they install.

More from fynnfluegge/agtx

AGTX Research is one of 7 skills cataloged on DirSkills from fynnfluegge/agtx.

See all 7 skills โ†’