Narrow helper skill for README-first AI repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.
repo-intake-and-plan is a reusable AI skill focused on a specific workflow. name: repo-intake-and-plan
The skill packages instructions, conventions, and task-specific guidance so an agent can execute the job more consistently. description: Narrow helper skill for README-first AI repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration. - At the beginning of README-first reproduction work. - When the main skill needs a fast map of repo structure and documented commands.
In practice, this skill is best suited for users who need repeatable execution with fewer setup steps and less ambiguity. - When inference, evaluation, and training candidates must be classified conservatively. - When the user explicitly wants to inspect the repo first and not run anything yet. - When execution has already started and the task is now about running commands or writing outputs. - When the target is not a repository-backed reproduction task.
repo-intake-and-plan helps agents follow a focused workflow described in the source documentation, reducing ambiguity and keeping execution aligned with the intended task.
Use it when the task matches the workflow, domain, or operating rules described in the skill documentation, especially when consistent execution matters.
The skill is constrained by the quality and scope of its source instructions. If the underlying documentation is incomplete, the agent may still need extra context or manual validation.
Quick Setup:
.claude/skills/Repository
lllllllama/ai-paper-reproduction-skill