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AutomationPython

AGENTS.md Scaffold

by majiayu000

AGENTS.md Scaffold is an Automation skill for Claude Code, published by majiayu000 in spellbook.

265 stars26 forkson majiayu000/spellbookAdded 2026/09/02+1% in starsRepository updated 2026/08/31
agent-skillsai-agent-skillsai-agentsai-coding-assistantautomationclaudeclaude-codeclaude-code-skillscode-reviewcodexcodex-skillscross-runtimedeveloper-toolsmulti-agentproductivityprompt-engineeringskill-librarysoftware-developmentspellbookworkflows
Install in seconds
Install AGENTS.md Scaffold
Copy AGENTS.md Scaffold 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/majiayu000/spellbook/tree/main/skills/agentsmd-scaffold ~/.claude/skills/agentsmd-scaffold

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/majiayu000/spellbook.git

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

In this catalog

Source file
skills/agentsmd-scaffold/SKILL.md in majiayu000/spellbook
Installs to
~/.claude/skills/agentsmd-scaffold
Collection
One of 25 skills cataloged from this repository
Category
Automation โ€” 1648 skills

What AGENTS.md Scaffold does

AGENTS.md Scaffold generates or updates repository-specific AGENTS.md files from repo evidence. It is used when a repo needs scoped agent instructions, validation commands, or directory-specific rules.

AGENTS.md Scaffold is cataloged under Automation on DirSkills. AGENTS.md Scaffold comes from a repository tagged agent-skills, ai-agent-skills, ai-agents, ai-coding-assistant and automation.

Documentation

README

AGENTS.md Scaffold

Use this skill to generate a small, evidence-backed AGENTS.md stack for a repository. The output may be a plan, exact proposed file contents, or applied files when the user explicitly asks to write them.

This skill is for instruction scaffolding. Use repo-agent-context-audit first when the user only asks whether the repo's agent context is healthy.

Operating Contract

Default to a scoped plan before editing. Only write or modify AGENTS.md, CLAUDE.md, WARP.md, hooks, settings, or generated docs when the user has explicitly asked to apply the scaffold.

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

Frequently asked about AGENTS.md Scaffold

  • What else does majiayu000 publish alongside AGENTS.md Scaffold?

    AGENTS.md Scaffold is one of 25 skills that DirSkills catalogs from majiayu000/spellbook, the repository it ships in. Its siblings there include API Design, Agents Md Optimize and App User Story QA. Each one is a separate skill with its own page in this directory, installs the same way AGENTS.md Scaffold does, and is maintained by majiayu000 in that same repository. The rest of the collection is listed on the majiayu000/spellbook page.

  • How does AGENTS.md Scaffold compare to other Automation skills?

    AGENTS.md Scaffold ranks #1414 by stars among the 1648 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. 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 AGENTS.md Scaffold against them. Open each page to compare what they document and how they install.

More from majiayu000/spellbook

AGENTS.md Scaffold is one of 25 skills cataloged on DirSkills from majiayu000/spellbook.

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Agents Md Optimize

Agents Md Optimize audits a CLAUDE.md or AGENTS.md file, scores common instruction patterns, and applies approved fixes in place. Use it when you want to improve an agent instruction file, not just review it.
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App User Story QA

App User Story QA turns a broad request to test an app into a tracked loop of feature inventory, code-backed expected behavior, and user-story tests. Use it to audit every surface, classify failures, and retest documented defects after fixes.
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Architecture Research helps analyze real systems from source, docs, and runtime evidence before choosing a technical direction. Use it for architecture studies, system archaeology, build-vs-buy decisions, and reassessing earlier choices.
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