clean-copy
Reimplement the current branch on a new branch with a clean, narrative-quality git commit history. Use when asked to make a clean copy branch, clean up commit history by replaying work, or rebuild a branch as reviewable commits.
What this skill does
# Clean copy Reimplement the current branch on a new branch with a clean, narrative-quality commit history suitable for reviewer comprehension. ## Workflow 1. Gather context: - Source branch: `git branch --show-current`. - Working tree: `git status --short`. - Commits since main: `git log main..HEAD --oneline`. - Diff summary: `git diff main...HEAD --stat`. 2. Validate the source branch: - Ensure there are no uncommitted changes or merge conflicts. - Confirm the source branch is up to date with `main`. 3. Choose the new branch name: - Use the user's requested name when provided. - Otherwise use `<source-branch>-clean`. 4. Analyze the diff: - Study all changes between the source branch and `main`. - Understand the final intended state before recreating it. 5. Create the clean branch from `main`. 6. Plan the commit storyline: - Break the implementation into self-contained logical steps. - Each step should read like a stage of development in a tutorial. 7. Reimplement the work: - Recreate the final changes step by step. - Commit after each coherent idea. - Use clear commit subjects and descriptions. - Use `git commit --no-verify` for intermediate commits so hooks do not block temporarily incomplete states. 8. Verify correctness: - Confirm the final clean branch state exactly matches the original source branch. - Run the final commit without `--no-verify` so normal checks run. 9. Open a pull request using the `pr` skill. - Include a link to the original branch in the PR description. ## Rules - Never add yourself or an AI tool as an author, contributor, or co-author. - Never include AI attribution in commits or PR content. - The final clean branch must be identical to the source branch. - Do not force push unless the user explicitly asks for it.
Related in Writing & Docs
jax-development
IncludedUse this skill when the user is writing, debugging, profiling, refactoring, reviewing, benchmarking, parallelising, exporting, or explaining JAX code, or when they mention JAX, jax.numpy, jit, grad, value_and_grad, vmap, scan, lax, random keys, pytrees, jax.Array, sharding, Mesh, PartitionSpec, NamedSharding, pmap, shard_map, Pallas, XLA, StableHLO, checkify, profiler, or the JAX repo. It helps turn NumPy or PyTorch-style code into pure functional JAX, fix tracer/control-flow/shape/PRNG bugs, remove recompiles and host-device syncs, choose transforms and sharding strategies, inspect jaxpr/lowering/IR, and benchmark compiled code correctly.
nature-article-writer
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deckrd
IncludedDocument-driven framework that derives requirements, specifications, implementation plans, and executable tasks from goals through structured AI dialogue. Use when user says "write requirements", "create spec", "plan implementation", "derive tasks", "structure this feature", "break down into tasks", or "document this module". Also use for reverse engineering existing code into docs (/deckrd rev). Do NOT use for direct code writing — use /deckrd-coder after tasks are generated. Do NOT use when the user only wants to run or fix existing code without planning.
clinical-decision-support
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handling-sf-data
IncludedSalesforce data operations with 130-point scoring. Use this skill to create, update, delete, bulk import/export, generate test data, and clean up org records using sf CLI and anonymous Apex. TRIGGER when: user creates test data, performs bulk import/export, uses sf data CLI commands, needs data factory patterns for Apex tests, or needs to seed/clean records in a Salesforce org. DO NOT TRIGGER when: SOQL query writing only (use querying-soql), Apex test execution (use running-apex-tests), or metadata deployment (use deploying-metadata).
accelint-ac-to-playwright
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