lm-deluge
Python library for LLM API requests with unified interface across providers (OpenAI, Anthropic, Google, etc.). Use when writing code that calls LLMs, creates tools/agents, batch processes prompts, or needs rate...
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Python library for LLM API requests with unified interface across providers (OpenAI, Anthropic, Google, etc.). Use when writing code that calls LLMs, creates tools/agents, batch processes prompts, or needs rate...
Structure and write comprehensive research reports with proper citations. Use when finalizing research findings into a formal report.
Search academic paper repositories (arXiv, Semantic Scholar) for scholarly articles in physics, mathematics, computer science, quantitative biology, AI/ML, and related fields
Synthesize findings from multiple research sources into coherent insights. Use when combining data from different sub-agents or research threads.
Create new skills following a structured 4-phase workflow. Use when you need to build reusable agent skills with proper validation.
Always include when making changes to niri
CI workflow checks and code cleanup tools
Always include when making changes to waybar
Export Feishu/Lark cloud documents to Markdown. Supports docx, sheets, bitable, and wiki. Use this skill when you need to read, analyze, or reference content from Feishu knowledge base.
Format commit messages following conventional commits standard. Use when: writing commit messages, git commit, reviewing commit history. Keywords: commit, git, message, conventional, 提交, 訊息, feat, fix, refa...
Prevent AI hallucination and ensure evidence-based responses when analyzing code or making suggestions. Use when: analyzing code, making recommendations, providing options, or when user asks about confidence/ce...
Testing pyramid and test writing standards for UT/IT/ST/E2E. Use when: writing tests, discussing test coverage, test strategy, or test naming. Keywords: test, unit, integration, e2e, coverage, mock, 測試, 單元,...
Guide requirement writing, user story creation, and feature specification. Use when: writing requirements, user stories, issues, feature planning. Keywords: requirement, user story, issue, feature, specificatio...
Semantic versioning and changelog formatting for software releases. Use when: preparing releases, updating version numbers, writing changelogs. Keywords: version, release, changelog, semver, major, minor, patch...
Guide documentation structure, README content, and project documentation best practices. Use when: creating README, documentation, docs folder, project setup. Keywords: README, docs, documentation, CONTRIBUTING...
Systematic code review checklist and pre-commit quality gates for PRs. Use when: reviewing pull requests, checking code quality, before committing code. Keywords: review, PR, pull request, checklist, quality, c...
Guide Git branching strategies, branch naming, and merge operations. Use when: creating branches, merging, pull requests, Git workflow questions. Keywords: branch, merge, PR, pull request, GitFlow, GitHub Flow,...
PDF 文档处理工具包,用于提取文本和表格、创建新 PDF、合并/分割文档、处理表单。当需要程序化处理、生成或分析 PDF 文档时使用
Generates a styled SVG dependency graph of the Turborepo build pipeline. Use when the user asks to visualize dependencies, generate a build graph, or update the pipeline diagram.
Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the...
Reviews code for bugs, security vulnerabilities, and quality issues. MUST be invoked automatically after completing a coding task (feature, bug fix, or refactor) - do not wait for user to request it.
Update documentation files (README.md, CLAUDE.md, assistant-knowledge.ts) based on code changes since they were last committed. Stops if git status is dirty.
Commit uncommitted changes with clear commit messages. Use when the user asks to commit changes, save work, or create a commit.
Resumes work from a previous handoff session which are stored in `.claude/handoffs/`
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.