Provides Hatchling build backend guidance for Python packaging — use when configuring pyproject.toml metadata, build targets (wheel, sdist, binary), file selection with git-style globs, build hooks, metadata hooks, version management (code/regex/env sources), editable installs, the hatch-vcs plugin, plugin development, build environment setup (UV/pip/Cython), setuptools migration, or troubleshooting Hatchling errors. Covers PEP 517/518/621/660 standards and context variable interpolation.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Hatchling is a modern, standards-compliant Python build backend that replaces legacy setuptools for package building. It provides clear configuration through pyproject.toml, intelligent defaults, and extensibility through hooks and plugins. This skill enables understanding Hatchling's architecture, configuration options, and build customization capabilities.
Load and follow the standards in /python-engineering:standards-for-python-development when applying shared architecture, typing, testing, or CLI rules.
This skill provides comprehensive reference documentation organized by topic. Each section links to detailed guides covering configuration, usage patterns, and examples.
references/project-metadata/index.md - Package metadata, dependencies, entry points, dynamic fieldsreferences/build-system/index.md - Build backend setup, PEP 517/518, reproducible builds, environment variablesreferences/wheel-target/index.md - Wheel configuration, package discovery, file selection, editable installsreferences/sdist-target/index.md - Sdist configuration, VCS integration, legacy setup.py supportreferences/build-targets/index.md - Wheel, sdist, binary, custom builders, multi-version buildsreferences/target-config/index.md - Target-specific hooks, dependencies, versions, precedencereferences/file-selection/index.md - Git-style globs, include/exclude patterns, VCS integration, force-includereferences/build-hooks/index.md - Hook interface, execution order, custom hooks, version hooks, build data passingreferences/advanced-features/index.md - Dynamic dependencies, force-include, path rewriting, editable installs, build contextreferences/version-management/index.md - Version sources (code, regex, env), schemes, validation, build hooksreferences/metadata-hooks/index.md - Metadata hook interface, custom hooks, dynamic metadata generationreferences/context-formatting/index.md - Context variables, environment-based config, interpolationreferences/plugins/index.md - Builder, hook, metadata, version plugins, hatch-vcs, plugin developmentreferences/build-environment/index.md - Environment config, dependencies, UV vs pip, Cython integration, isolationreferences/integration/index.md - PEP standards compliance, setup.py migration, setuptools compatibility, CMake/extensionsreferences/special-config/index.md - PEP 561 type hints, SPDX licenses, namespace packages, src-layout, extensionsreferences/core-concepts/index.md - PEP 517 backend, minimal philosophy, VCS file selection, reproducible buildsreferences/standards/index.md - Python packaging overview, PEP references, metadata specs, distribution formatsreferences/cli-building/index.md - hatch build commands, python -m build, pip install, output customizationreferences/error-handling/index.md - Path validation, file selection errors, version/license validation, heuristic failuresreferences/release-notes/index.md - Hatchling version history, feature additions, PEP 639 support, performance improvements还没有评价。欢迎分享你的使用感受。
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Add automated documentation updater to any Claude skill. Creates a Python sync script that downloads upstream docs, processes markdown for AI consumption, and maintains local cache with configurable refresh. Collects template variables, then delegates implementation through 5-phase workflow. Use when adding auto-updating reference documentation to plugins or skills.
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SAM-style feature initiation workflow — discovery through codebase analysis, architecture spec, task decomposition, validation, and context manifest. Use when a user asks to add a feature, plan a feature, or convert an idea into an executable SAM plan.
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Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
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Browser automation for AI agents using the agent-browser CLI and Playwright. Use when navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, logging into sites, or automating any browser task. Triggers on "open a website", "fill out a form", "click a button", "scrape data", "test this web app", "automate browser actions", or any programmatic web interaction request.
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Runs the description-drift experiment — spawns all Claude Code agents simultaneously to collect self-reported capabilities, then compares them against static frontmatter descriptions to reveal how reliable orchestrator routing based on descriptions actually is. Use when measuring description drift across the agent fleet, re-running the capability collection experiment, analyzing a specific agent's self-reported capabilities, or auditing whether frontmatter descriptions accurately reflect agent behavior.
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Create or adapt Claude Code agent definitions. Use when creating an agent, changing subagent configuration, selecting agent scope, or designing a specialized delegation role.
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