Python package creation and PyPI distribution via pyproject.toml and entry points. Use when publishing a package or setting up build configuration.
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@athola
Curbsitter, daymaker, ball is life. @juliathola
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Python package creation and PyPI distribution via pyproject.toml and entry points. Use when publishing a package or setting up build configuration.
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Python testing patterns with pytest, fixtures, TDD, mocking, async and integration tests. Use when writing or auditing a Python test suite.
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Extracts writing style patterns from exemplar text into a reusable profile. Use when creating a style guide or learning a specific author's voice.
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Generates or remediates documentation with human-quality writing. Use when creating new docs, rewriting AI-generated content, or applying style profiles.
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Generates or updates tutorials from VHS tapes and Playwright specs with dual-tone markdown and GIF recording. Use when tutorial assets need refreshing.
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Applies an ASD-STE100-derived register to operator and procedural text. Use when writing runbooks or steps. Do not use for docstrings, ADRs, or rationale.
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Detects shared stack membership and iterates a command across all PRs in base-to-tip order. Use when a command supports --stack flag for multi-PR iteration.
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Merges ephemeral report and analysis artifacts into permanent documentation. Use when LLM-generated markdown files have accumulated and need consolidation.
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Verifies workspace state and staged changes as a read-only preflight. Use before commits or PRs to confirm staged set is clean and correct.
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Profiles Python code for performance bottlenecks and memory issues. Use when Python code is slow or when profiling for optimization before a release.
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Improves code quality across duplication, efficiency, and architectural fit. Use when code passes tests but quality is poor or before a major release.
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Analyzes code change impact with risk scoring and affected-node mapping. Use before merging to understand what a change touches and what lacks test coverage.
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Applies NIST/CWE security hardening to Python and Rust code. Use when auditing code for vulnerabilities or proposing concrete security remediations.
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Audits Makefiles for build correctness, portability, and recipe duplication. Use when reviewing a Makefile or before committing Makefile changes.
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Pushes all branches in a stack and opens or updates one dependent PR per slice. Use after stack-create to publish the stack or after adding commits to a slice.
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Detects AI-generated writing patterns in prose. Use when reviewing docs for slop, vague language, or identity leaks before publishing.
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Prepares pull requests by running quality gates, drafting descriptions, and validating tests. Use when completing a feature and ready for review.
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Reviews pull requests with scope validation, requirements compliance, and line comments. Use when reviewing GitHub or GitLab PRs.
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Cascades a rebase through an entire PR stack after a base PR merges or upstream changes. Use when a stack needs to incorporate new base branch commits.
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Updates, generates, and validates tests using git-workspace context and TDD/BDD methodology. Use when code changes require new or updated test coverage.
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Refreshes README structure favoring concision (an index, not a manual). Use when the README needs a structural update after significant project changes.
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Bumps versions, updates changelogs, and coordinates version changes across files for releases. Use when preparing a release or bumping the project version.
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Converts a Claude Code session into a blog post, case study, or Reddit post. Use when publishing dev blog content or community posts from real sessions.
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Builds session-scoped temporary memory palaces for extended conversations. Use when tracking state across interruptions in a multi-step project.
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