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AI EngineeringRust

Agtx Plan

by fynnfluegge

Agtx Plan 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 Plan
Copy Agtx Plan 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-plan ~/.claude/skills/agtx-plan

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-plan/SKILL.md in fynnfluegge/agtx
Installs to
~/.claude/skills/agtx-plan
Collection
One of 7 skills cataloged from this repository
Category
AI Engineering โ€” 3670 skills

What Agtx Plan does

Agtx Plan analyzes a codebase and writes a detailed implementation plan to .agtx/plan.md, then stops for user approval before any changes are made.

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

Documentation

README

Planning Phase

You are in the planning phase of an agtx-managed task.

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. Also check for .agtx/research.md if a research phase was completed first.

Instructions

  1. Fetch the task description via get_task
  2. If .agtx/research.md exists, read it for prior analysis
  3. Explore the codebase to understand relevant files, patterns, and architecture
  4. Identify all files that need to be created or modified
  5. Create a detailed implementation plan

Output

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

Frequently asked about Agtx Plan

  • What else does fynnfluegge publish alongside Agtx Plan?

    Agtx Plan is one of 7 skills that DirSkills catalogs from fynnfluegge/agtx, the repository it ships in. Its siblings there include AGTX Execute, AGTX Research and AGTX Review. Each one is a separate skill with its own page in this directory, installs the same way Agtx Plan 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 Plan compare to other AI Engineering skills?

    Agtx Plan ranks #1145 by stars among the 3670 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 Plan against them. Open each page to compare what they document and how they install.

More from fynnfluegge/agtx

Agtx Plan is one of 7 skills cataloged on DirSkills from fynnfluegge/agtx.

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2026/08/20

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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.
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Agtx Sweep

Agtx Sweep extracts actionable work items from a coding conversation and creates them as tasks on an agtx kanban board. Use it when you want to capture, decompose, or hand off conversation results to agtx for execution.
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Benchmark runs SWE-bench Lite evaluations against agtx coding agent workflows. Use it to configure, execute, and report on benchmark runs for Claude Code, Gemini CLI, or Codex CLI.
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Brainstorm Mode helps unpack a feature or enhancement idea through discussion only, without planning or implementation. Use it when you want to explore problems, trade-offs, and unknowns before handing off to the agtx board.
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