GitHub
softcopyright
智能软件著作权申请材料生成工具。自动分析项目源码，生成符合软著申请要求的软件说明书和源代码文档。支持关键词搜索、智能源码分析、格式化输出和PDF导出。
☆ 275Voir le skill
Résultats pour « PDF »
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Catégories: tools technical docs
Explorer
GitHub
source-unifier
Merge multiple documentation sources (docs, GitHub, PDF) with conflict detection. Use when combining docs + code for complete skill coverage.
☆ 79Voir le skill
GitHub
skill-builder
Build Claude skills from extracted documentation. Use after doc-scraper/pdf-extractor to generate uploadable skill packages. Use when relevant to the task.
☆ 79Voir le skill
GitHub
skill-builder
Build Claude skills from extracted documentation. Use after doc-scraper/pdf-extractor to generate uploadable skill packages.
☆ 79Voir le skill
GitHub
source-unifier
Merge multiple documentation sources (docs, GitHub, PDF) with conflict detection. Use when combining docs + code for complete skill coverage.
☆ 79Voir le skill
GitHub
documentation-standards
Markdown documentation standards for LLM-optimized architecture including section numbering rules for Pandoc PDF generation. Use when writing markdown documentation, creating skills, or authoring content that m...
GitHub
sphinx
Generate comprehensive Python documentation with Sphinx. Covers autodoc for API extraction, Napoleon for Google/NumPy docstrings, intersphinx for cross-references, and multiple output formats including HTML, PD...
GitHub
generate-test-docs
自主学习型测试文档生成器。从需求文档（PDF/Word/Markdown）生成测试文档，支持持久化记忆和持续学习。当用户提到"生成测试用例"、"测试计划"、"测试报告"或"根据需求生成测试"时触发。
GitHub
skill-seekers-makeup
Automatically generate Claude skills from documentation websites, GitHub repositories, and PDF files using the Skill_Seekers tool. **ALWAYS use this skill when:**
GitHub
documentation-standards
Markdown documentation standards for LLM-optimized architecture including section numbering rules for Pandoc PDF generation. Use when writing markdown documentation, creating skills, or authoring content that m...
Catégories populaires
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.