pydantic-monty

Plugin pydantic-monty from marketplace cascade-code-languages-python in joshuarweaver/cascade-code-languages-python. Commands read from the repo's manifest — 1 month ago.

Skills (9)

• coverage

  Fetch coverage diff from Codecov for the current branch or a specific PR. Shows uncovered lines, patch coverage, and overall coverage change.

• fastmod

  Use fastmod to make mass code updates to avoid many repetitive changes.

• fix-pr-comments

  Read the review comments left by the known agent reviewers on the current PR, resolve and reply. Use when asked to deal with PR comments, review feedback, or bot review findings.

• python-playground

  Run and test Python code in a dedicated playground directory. Use when you need to execute Python scripts, test code snippets, investigate CPython behavior, or experiment with Python without affecting the main codebase.

• review-general

  Review the current branch against its merge base for bugs, CPython divergence, sandbox escapes, resource-limit escapes, performance regressions, verbose comments and missing ./limitations/ or docs/ updates. Use for a general pre-merge review of a branch or PR.

• review-security

  Security review of the current branch against its merge base — sandbox escapes, memory errors, panics and resource-limit bypasses. Use when reviewing changes for security risk, or before merging anything touching the heap/ module, path_security.rs, the wire protocol or the pool.

• review-usability

  Check whether the common Python code an LLM would plausibly write still works on this branch, testing real cases in ./playground against CPython. Use to find behaviour that diverges from CPython or trips up ordinary idiomatic code.

• review-verbosity

  Rewrite excessively verbose comments and docstrings added by this branch, and delete tautologous ones. Use after writing a feature to tighten up its comments; this skill edits code rather than only reporting.

• writing-style

  How to write prose that reads like human technical documentation rather than LLM output. Use whenever writing or editing docstrings, comments, limitations/ docs, READMEs, commit messages or PR descriptions, and when prose reads as smooth, salesy or generic.

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