Apply fix recipes to modify code in memory across affected repositories.
npx skills add https://github.com/pipecrew-ai/pipecrew --skill patch-pipecrew-ai
Please help me install this Agent Skill. Skill: patch Source: https://github.com/pipecrew-ai/pipecrew/tree/main/skills/patch Command: npx skills add https://github.com/pipecrew-ai/pipecrew --skill patch-pipecrew-ai
The patch Skill unit addresses the need for repetitive, small-scale code modifications by providing a memory-backed mechanism that uses fix recipes to apply changes without full pipeline execution.
match patterns across all affected repos with --recipe --sweep or select specific findings using --findings.--findings and --recipe.--review for added rigor.Apply a fix recipe to address audit findings: /patch --recipe=deliteralize-aws-account-id --sweep
High-intent search queries and answers about installing and using this skill.
Automate code modifications across multiple repositories using recipe-based changes. Apply fix recipes with a sweep flag to target all affected repos, or select specific findings to update matching code patterns in bulk.
Apply codemods without a full delivery pipeline using memory-backed modifications. This mechanism executes lightweight, in-memory recipe changes to handle recurring code fixes directly without triggering heavier pipeline processes.
Review mechanical code migrations before final application using a dedicated review flag. Incorporate a review step for non-trivial patches to add rigor and verify automated recipe-based changes before committing them.
Enforce coding conventions across affected repositories by utilizing fix recipes. Use match patterns to detect convention violations and sweep all repositories, interactively selecting changes or automating the process with recipe flags.
Recipe-based code modification supports interactive selection of changes. You can interactively choose which specific findings to patch, or switch to an automated mode using findings and recipe flags for bulk processing.
Use memory-backed modifications for repo-specific fixes when you need to apply small-scale, repetitive changes. This approach is ideal for mechanical migrations and convention enforcement without the overhead of full pipeline execution.
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