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AI EngineeringRust

Writing Plans

by xintaofei

Writing Plans is an AI Engineering skill for Claude Code, published by xintaofei in codeg.

2.8K stars344 forkson xintaofei/codegAdded 2026/08/17+3% in starsRepository updated 2026/08/17
acpagentclaude-codeclinecode-generationcodebuddycodexgemini-cligrok-buildguihermes-agentkimi-codeopenclawopencodepiworktree
Install in seconds
Install Writing Plans
Copy Writing Plans 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/xintaofei/codeg/tree/main/src-tauri/experts/skills/writing-plans ~/.claude/skills/writing-plans

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/xintaofei/codeg.git

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

In this catalog

Source file
src-tauri/experts/skills/writing-plans/SKILL.md in xintaofei/codeg
Installs to
~/.claude/skills/writing-plans
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering โ€” 2451 skills

What Writing Plans does

Writing Plans turns specs and requirements into detailed, task-by-task implementation plans for coding agents. Use it before touching code to decompose work into bite-sized TDD steps with exact files, tests, and commits.

Writing Plans is cataloged under AI Engineering on DirSkills. Writing Plans comes from a repository tagged acp, agent, claude-code, cline and code-generation.

Documentation

README

Writing Plans

Overview

Write comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it. Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.

Assume they are a skilled developer, but know almost nothing about our toolset or problem domain. Assume they don't know good test design very well.

Announce at start: "I'm using the writing-plans skill to create the implementation plan."

Context: If working in an isolated worktree, it should have been created via the superpowers:using-git-worktrees skill at execution time.

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

Frequently asked about Writing Plans

  • What else does xintaofei publish alongside Writing Plans?

    Writing Plans is one of 25 skills that DirSkills catalogs from xintaofei/codeg, the repository it ships in. Its siblings there include Brainstorming, Citation Management and Code Review Reception. Each one is a separate skill with its own page in this directory, installs the same way Writing Plans does, and is maintained by xintaofei in that same repository. The rest of the collection is listed on the xintaofei/codeg page.

  • How does Writing Plans compare to other AI Engineering skills?

    Writing Plans ranks #749 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 Writing Plans against them. Open each page to compare what they document and how they install.

More from xintaofei/codeg

Writing Plans is one of 25 skills cataloged on DirSkills from xintaofei/codeg.

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Citation Management searches Google Scholar and PubMed for papers, extracts accurate metadata, validates citations, and generates properly formatted BibTeX entries. Use it when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
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Code Review Reception

Code Review Reception establishes a verification-first workflow for responding to code review feedback, requiring technical evaluation and clarification before implementation rather than performative agreement. Use it when receiving feedback from humans or external reviewers to avoid blind implementation and ensure changes fit the codebase.
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Executing Plans

Executing Plans loads a written implementation plan, reviews it critically, executes all tasks with verification, and reports when complete. Use it when you have a written implementation plan to execute in a separate session with review checkpoints.
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Experimental Design

Experimental Design plans experiments and studies before data collection, choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable. Use it when assigning subjects to groups, screening factors, or setting up factorial or response-surface designs.
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