A catalogue of agentbundle primitives for building robust, review-driven AI coding workflows.
agent-ready-repo is worth checking the docs before setup with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo clone eugenelim/agent-ready-repoOpen or clone the template repository.
Move the relevant AGENTS.md content into your project root.
Update project-specific commands, environment rules, and sensitive areas.
Repository setup guidance
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 97 days ago.
7 GitHub stars indicate community interest.
1 open issues signal maintenance load.
A drop-in AGENTS.md file that makes coding agents behave like senior engineers, eliminating sycophancy and forcing verification.
Curated AI coding agent skills and playbooks for Codex, Claude Code, Cursor, OpenClaw, and other SKILL.md-compatible tools.
Convert and sync AI coding-agent rule files between formats with zero dependencies.
This repository provides a collection of reusable building blocks (called packs) that make AI coding agents more reliable. It includes a plan-execute-verify-review loop that forces agents to test and review their code before shipping, plus specialized reviewer subagents for adversarial, security, and quality checks. You can install packs for governance, documentation, monorepo management, and more.
agent-ready-repo is a catalogue of agentbundle primitives — skills, reviewer subagents, hooks, and governance scaffolding — that can be installed à la carte into any repository. Each pack delivers a coherent slice of functionality: a workflow you can run, a reviewer that pulls its weight, or the document shape that makes downstream agents work well. Skills follow the agentskills.io specification, making them self-contained and cleanly installable. The core pack introduces a plan → execute → verify → review loop that runs lint, typecheck, and tests as hard gates, then dispatches specialist reviewer subagents in a fresh session to read the diff adversarially before anything ships. Additional packs add governance ceremony (RFCs, ADRs), user-docs structure (Diátaxis), monorepo scaffolding, contract authoring, file conversion, Atlassian workflows, Figma file access, and solution architecture skills. The repository is stack-agnostic and scales from solo developers to teams of fifty.
A catalogue of agentbundle primitives for building robust, review-driven AI coding workflows.
AI agent developers who want to build reliable, self-reviewing coding workflows., Tech leads and architects setting up governance and documentation standards for their teams., Solo developers who want to leverage AI agents for code generation with built-in quality checks.
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
The core loop runs code (lint, typecheck, tests) which could execute malicious code if the repository is compromised. Ensure you trust the source. Some packs (e.g., Figma, Atlassian) require API tokens or credentials; handle them securely and avoid committing them to the repository.
Similar or complementary options to evaluate include agents-md, ok-skills, agentsync.
Aug 20, 2026
Apache-2.0 license detected.
3 security/trust notes recorded.
Setup difficulty is 3/5.
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