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AI Agent & Automation Workflows

Skill pack
2 skills0 selected
tjboudreauxSkills in this pack

Ready Agent 1 gears up your repo (the Loadout) — remediate agent-readiness gaps by applying safe configuration scaffolds, drafting documentation for review, and listing GitHub settings to change. Use when the user asks to fix readiness, remediate readiness findings, raise the readiness level, apply readiness fixes, or scaffold missing config (linters, CI, CODEOWNERS, issue/PR templates, dependabot, devcontainer, .env.example). Applies changes to a local branch only and never pushes without confirmation.

English

Ready Agent 1 scans your repo for agent-readiness — a deterministic, cited score (Level 1–5 across Style & Validation, Build System, Testing, Documentation, Dev Environment, Security, and Task Discovery) plus advisory guidance. Use when the user asks to assess agent readiness, score a repo, check whether a codebase is ready for AI agents, run Ready Agent 1, generate a readiness report, or find out a repo's readiness level. Runs a local pure-stdlib engine; the score is reproducible and the agent only adds non-gating advisory.

English

Includes Ra1 Report and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills2CategorytoolsStars0

What’s included

Ra1 Fix

Ready Agent 1 gears up your repo (the Loadout) — remediate agent-readiness gaps by applying safe configuration scaffolds, drafting documentation for review, and listing GitHub settings to change. Use when the user asks to fix readiness, remediate readiness findings, raise the readiness level, apply readiness fixes, or scaffold missing config (linters, CI, CODEOWNERS, issue/PR templates, dependabot, devcontainer, .env.example). Applies changes to a local branch only and never pushes without confirmation.

Ra1 Report

Ready Agent 1 scans your repo for agent-readiness — a deterministic, cited score (Level 1–5 across Style & Validation, Build System, Testing, Documentation, Dev Environment, Security, and Task Discovery) plus advisory guidance. Use when the user asks to assess agent readiness, score a repo, check whether a codebase is ready for AI agents, run Ready Agent 1, generate a readiness report, or find out a repo's readiness level. Runs a local pure-stdlib engine; the score is reproducible and the agent only adds non-gating advisory.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Ra1 Fix skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: MIT. The author’s terms apply.
AI Agent & Automation Workflows | Agent Skills Atlas