Total 55,016 skills, AI & Machine Learning has 9127 skills
Showing 12 of 9127 skills
Use when executing or continuing a spec plan interactively. Triggers on: "spec go", "execute plan", "run plan", "continue plan", "work on plan", "start plan", "run the spec". Runs tasks with configurable breakpoints for review. Pass --bg for fully autonomous background execution.
Use when researching technical approaches before building. Triggers on: "explore options", "what are my options for", "research approaches", "compare solutions", "dev explore", "generate proposals", "help me decide between". Runs parallel proposal generation via subagents and outputs to .codevoyant/explore/.
Document a recently solved problem to compound your team's knowledge
This skill should be used when the user asks to "test the triage skill", "run triage tests", "validate antithesis triage", "test:triage", or "smoke test triage". Orchestrates end-to-end testing of the antithesis-triage skill by running real triage operations via sub-agents and reviewing the results for bugs, skill compliance issues, and papercuts.
Scan an experiment repo and generate a complete paper outline (H1/H2/H3) with user approval checkpoints at each level, then generate body text with evidence annotations, citations, and bilingual output. Python ML repos. 扫描实验仓库，逐级生成论文大纲（H1/H2/H3），每级用户确认后推进， 然后生成带证据标注、引用和双语输出的正文文本。
Orchestrate parallel paper processing. Split paper into sections and run any eligible Skill (polish, translation, de-ai) across sections via subagents. 团队协作模式：将论文拆分为章节并行处理。
Simulate peer review of academic papers with structured feedback. Produces bilingual review report with scoring and actionable suggestions. Triggers on "review", "peer review", "simulate reviewer", "审稿", "模拟评审".
Detect and rewrite AI-generated patterns in English academic text. Two-phase workflow: scan with risk tagging, then batch rewrite. Triggers on "de-AI", "降AI", "reduce AI traces", "AI检测".
PaddleOCR text recognition skill using PP-OCRv5 lightweight model. Supports natural scene and complex document text detection and recognition. Use when user needs OCR text extraction from images.
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Conduct deep research using NotebookLM integration — upload documents, query with citation-backed answers, synthesize findings, and produce infographic-style presentations. Output in Markdown, HTML/reveal.js slides, or Mermaid diagrams with visual hierarchy design specifications.
Analyze images using Dashscope (Qwen) Vision models for detailed description, OCR text extraction, object recognition, and visual Q&A. Use when the user needs to understand image content via Alibaba Cloud Dashscope API, especially for Chinese-language image analysis and documents.