Generate a self-contained reviewer prompt with file paths and review criteria.
npx skills add https://github.com/ephes/agent-stuff --skill review-handoff
Please help me install this Agent Skill. Skill: review-handoff Source: https://github.com/ephes/agent-stuff/tree/main/codex/skills/review-handoff Command: npx skills add https://github.com/ephes/agent-stuff --skill review-handoff
Generates a self-contained reviewer prompt tailored to the current worktree and user request.
Paste the current worktree context and the user request, then prompt the tool to generate a tailored reviewer prompt.
High-intent search queries and answers about installing and using this skill.
To generate a code review prompt for a second agent, paste your worktree context and user request to produce a self-contained reviewer prompt with absolute file paths and explicit review criteria.
A self-contained second-agent reviewer prompt is a context-aware instruction set that loads AGENTS.md and specs to ground an AI reviewer, ensuring it evaluates code within the project's specific constraints.
You can include project specs and AGENTS.md in an AI code review by loading these context files into the prompt generator, which then embeds absolute file paths and project constraints directly into the reviewer instructions.
Yes, the generated review prompt includes a reviewer output contract and structured findings to guide a high-signal review, ensuring the second agent returns actionable and formatted feedback.
Yes, you can use this to avoid generic code review templates because it creates a client-ready review prompt tailored specifically to your current worktree context and primary files.
You need to provide the current worktree context and the specific user request, which allows the tool to identify relevant primary files and load necessary context files to ground the prompt.
xanderscannellLoad and update project context files across sessions to prevent context drift.
jerelvelardeBootstrap a local AI review pipeline and generate a paste-ready review prompt.
ascerra-fullsend-rehearsalIntegrate comments and questions into Markdown spec and Q&A files.
KorytoBind a reviewer to an active deep-code-review round with a task name and suffix.
