GITHUB AGENT SKILLS / 技能收录
给你的 AI 助手
装上专业技能
我们从 GitHub 持续收录、审核并分类优质的 Agent Skills,按职业与使用场景整理,复制一行命令即可安装到 Claude Code、Cursor 等智能体。
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为不同岗位挑选的高频技能
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按 GitHub Stars 排序的优秀创作者
Microsoft
@microsoftopenclaw
@openclawOpenAI
@openaiThe Apache Software Foundation
@apacheGitHub
@githubAnthropic
@anthropicsAutoGPT
@Significant-GravitasGarry Tan
@garrytan全部 Skills 196935
document-gen-resilient-workflow
Robust document generation with engine fallback chain, error diagnostics, and Python alternatives
document-gen-unicode-safe
Unicode-safe fallback workflow for multi-format document generation with character sanitization
document-gen-dual-backend
Document generation with direct pandoc/ReportLab execution (lightweight default) and optional shell_agent fallback for complex scenarios
document-gen-resilient
Multi-path document generation with tool checks, Unicode handling, and Python fallbacks
document-gen-resilient-multiformat
Resilient multi-format document generation with environment checks, auto-sanitization, and fallback engines
doc-gen-unicode-diagnostic
Systematic document generation with unicode sanitization, engine fallback chain, and explicit error diagnosis
document-gen-resilient-workflow
Multi-engine document generation with cascading PDF fallbacks and robust Unicode handling
direct-reportlab-pdf-generation
Generate complex multi-page PDFs by running reportlab Python code directly via run_shell when shell_agent fails on document creation
detect-zero-iteration-failures
Identify and handle pre-execution agent failures occurring before any iterations or tool usage
detect-zero-iteration-failure
Identify and classify agent failures occurring before execution starts
deliverable-completion
Clarifies that file creation tasks are complete when the deliverable is successfully written—no submission step required
delegated-file-edit-verification
Verify delegated file-edit results directly in the target workspace before accepting success, and rerun with absolute paths if the delegate's report conflicts with reality.
debug-sandbox-execution
Debug Python code execution failures by capturing partial traces, isolating failing functions, and incrementally verifying outputs
create-soap-note
Generate structured medical SOAP notes with all required sections in a single comprehensive file write.
comprehensive-soap-note
Generate complete medical SOAP notes with all four sections in a single comprehensive file write operation
code-execution-fallback
Handle code execution failures with fallback strategies and anchored workspace paths
code-execution-fallback-e81068
Fallback workflow for executing Python code when execute_code_sandbox fails repeatedly
code-exec-fallback
Fallback pattern for executing Python code when execute_code_sandbox fails