agr-cli

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Install, share, sync, and create AI agent skills across coding tools (Claude Code, Cursor, Codex, OpenCode, Copilot, Antigravity) using the agr CLI. Use whenever the user mentions agr, agr.toml, agr.lock, agrx, or asks to: add a skill ("install the pdf skill", "agr add ..."), sync agent resources across tools, share skills with their team, scaffold a new SKILL.md, run a skill ephemerally (agrx), set up a repo to manage AI agent dependencies, or configure tools/sources/instruction-syncing. Also use whenever an agr.toml or agr.lock is present in the project and the user is doing resource-management work.

AI & Automation 441 stars 37 forks Updated 2 days ago MIT

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Skill Content

# agr CLI agr is the package manager for AI agent skills. It installs, shares, and syncs SKILL.md folders across Claude Code, Cursor, Codex, OpenCode, GitHub Copilot, and Antigravity. This skill helps you operate the `agr` CLI on the user's behalf — set up new repos, install and sync skills, manage `agr.toml` / `agr.lock`, and scaffold in-repo skills under `skills/`. ## When to use Use this skill when the user wants to: - Install or remove a remote skill (`agr add anthropics/skills/pdf`). - Sync `agr.toml` after pulling teammates' changes (`agr sync`). - Upgrade an installed skill past its pinned commit (`agr upgrade`). - Run a skill once without persisting it (`agrx ...`) or invoke an installed one (`agr run`). - Scaffold a new skill (`agr init my-skill`) — especially as in-repo skills under `skills/`. - Set up a repo from scratch to use agr (multi-tool config, instruction syncing, sources). - Add a local in-repo skill to the project's dependency list. - Inspect, edit, or troubleshoot `agr.toml` / `agr.lock` / `agr config`. - Or whenever `agr.toml` is present and the user is doing resource-management work. Do NOT use this skill for: - Authoring the *body* of a SKILL.md. This skill scaffolds and registers; for writing effective skill instructions, defer to the user or to a dedicated authoring skill such as `anthropics/skills/skill-creator`. - Iterating on an existing skill based on session feedback or a retrospective. That's a separate workflow — listen, propose, ...

Details

Author
computerlovetech
Repository
computerlovetech/agr
Created
5 months ago
Last Updated
2 days ago
Language
Python
License
MIT

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