Search Results for "check"

Ponytail is an AI-agent ruleset and plugin system that pushes coding assistants toward simpler, smaller, and less over-engineered solutions. It is built around the idea that the best code is often the code that does not need to be written. Before generating new code, it encourages the agent to check whether the feature is necessary, whether the standard library already solves it, whether the platform has a native capability, or whether an existing dependency can do the job. The project supports several agent environments, including Claude Code, Codex, GitHub Copilot CLI, OpenCode, Gemini CLI, and other instruction-based editors through copied rules files. ...

Loop Library is a library and installable skill for designing repeatable AI-agent workflows. It is built around the idea of loops, which are bounded playbooks that tell an agent what to do, how to check progress, what to try next, and when to stop. The repository contains both a public loop library website and the Loopy skill that agents can use to discover, audit, adapt, run, and prepare loops. It helps turn open-ended prompts into measurable workflows with evidence, stopping criteria, and human approval points. The skill can work with agent environments such as Codex, Cursor, and Claude Code through the Skills CLI. ...