AnyGen: AI-powered content creation suite. Create slides/PPT, documents, diagrams, websites, data visualizations, research reports, storybooks, financial analysis, and images. Supports: pitch decks, keynotes, technical docs, PRDs, white papers, architecture diagrams, flowcharts, mind maps, org charts, ER diagrams, sequence diagrams, UML, landing pages, CSV analysis, earnings research, posters, banners, comics, and more. Also trigger when: 做PPT, 写文档, 画流程图, 做网站, 分析数据, 帮我调研, 做绘本, 分析财报, 生成图片, 做海报, 思维导图, 做个架构图, 季度汇报, 竞品调研, 技术方案, 建个落地页, 做个估值, 画个故事.
昇腾（Ascend）推理生态开源代码仓库智能问答专家旨在为 vLLM、vLLM-Ascend、MindIE-LLM、MindIE-SD、MindIE-Motor、MindIE-PyMotor、MindIE-Turbo 以及 msModelSlim (MindStudio-ModelSlim) 等仓库提供专家级且易于理解的解释。在处理昇腾（Ascend）推理生态相关项目的用户询问时，务必触发此技能（Skill），可解答使用方法、部署流程、支持模型、支持特性、系统架构、配置管理、调试、测试、故障排查、性能优化、定制开发、源码解析以及其他技术问题。支持中英文双语回复，并可借助 deepwiki MCP 工具检索仓库知识库，生成具备上下文感知且基于证据的回答。Ascend inference ecosystem open-source code repository intelligent question-and-answer (Q&A) expert. Provide expert-level yet comprehensible explanations for repositories such as vLLM, vLLM-Ascend, MindIE-LLM, MindIE-SD, MindIE-Motor, MindIE-PyMotor, MindIE-Turbo, and msModelSlim (MindStudio-ModelSlim). Use this skill when addressing user inquiries related to these Ascend inference ecosystem projects, including topics such as usage, deployment process, supported models, supported features, system architecture, configuration management, debugging, testing, troubleshooting, performance optimization, custom development, source code analysis, and any other technical issues about these projects. Support responses in both Chinese and English. Use deepwiki MCP tools to query repository knowledge bases and generate context-aware, evidence-based responses.
Use when creating or managing agent profiles for testing — guides users through selecting a feature/skill, defining a use case with expected outcome, and choosing or generating an agent persona, saving reusable profiles to docs/agent-profiles/
Generates CRC-style class comments for Smalltalk classes. Use after creating or modifying Tonel files to add or improve class documentation.
- 📁 scripts/
- 📄 README.md
- 📄 SKILL.md
Compile documents into knowledge bases and manage persistent AI agent memory with Aura Core
Use when implementing design documents for pure documentation projects, especially when designs contain code examples that need to be converted to skill documentation
Audit an existing repository or paper-code release for open-source hardening gaps across correctness, maintainability, testability, security, performance, observability, and documentation. Use when the user says "audit this repo", "harden this project", "open source readiness", or wants a prioritized file-level report before changing code.
Sort the "My Projects" section in the GitHub profile README template by star count. Use this skill when the user asks to sort projects, reorder projects by stars, update project ordering, or refresh the project list ranking. Also use when the user adds a new project and wants it placed correctly by popularity.
Docs-first discovery for efficient codebase exploration. Use before Glob/Grep/Explore to get Logic IDs and file paths directly from semantic documentation. Saves tokens by avoiding expensive file searches. Commands include `/discover FEATURE` for feature lookup, `/discover "search terms"` for keyword search, and `/discover --prime` to load the business index.
Use when users want to bootstrap the brain with existing project knowledge -- reading ADRs, feature specs, UX docs, commit history, retro lessons, and error patterns to seed institutional memory on a project that already has artifacts on disk. Also use for incremental re-hydration after significant work outside the pipeline. Triggers on "hydrate brain", "bootstrap brain", "seed memory", "brain init", "populate brain", "import history".
Deep knowledge expert for the 33GOD agentic pipeline system, understands component relationships and suggests feature implementations based on actual codebase state
Migrate existing ADRs to YAML frontmatter format. Scans docs/decisions/ for ADRs without frontmatter, infers status from body text, shows dry-run for approval. Trigger: /adr-migrate
