szsip239

Initialize and configure OpenClaw agent workspace MD files (AGENTS.md, SOUL.md, IDENTITY.md, USER.md, TOOLS.md, BOOTSTRAP.md, HEARTBEAT.md). Use when: setting up a new agent, customizing agent personality/behavior, configuring agent workspace for TeamClaw, or checking/fixing agent environment (Python/uv). Provides interactive interview workflow before generating files. Integrates with TeamClaw session file system (input/output folders) and supports both container and external instances.

Converts Markdown to styled HTML with WeChat-compatible themes. Supports code highlighting, math, PlantUML, footnotes, alerts, and infographics. Use when user asks for "markdown to html", "convert md to html", "md转html", or needs styled HTML output from markdown.

Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) with HTML, markdown, or plain text input, and image-text posting (贴图, formerly 图文) with multiple images. Use when user mentions "发布公众号", "post to wechat", "微信公众号", or "贴图/图文/文章".

A collection of content creation and publishing skills. Routes to specialized sub-skills for image generation, infographics, slides, comics, WeChat publishing, and more. Use when user asks to create visual content, social media posts, presentations, or publish to platforms.

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.

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.

Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.

Control browser automation through HTTP API. Supports page navigation, element interaction (click, type, select), data extraction, accessibility snapshot analysis, screenshot, JavaScript execution, and batch operations.

Generate and print correction practice, then grade returned answer sheets. Use for CorrectionPaper PDFs, PDF/PNG printing, original redo, generated similar practice, PracticeQuestionRecord lifecycle, returned scan/photo/PDF grading, and mastery counters.

Generate structured wrong-question explanations and rich local teaching pages. Use for ExplanationArtifact caching, crop re-interpretation, Xiaohei-style teaching illustration plans, verified optional video recommendations, and TeachAny-style local ExplanationPage output.

Create reusable graph-grounded system knowledge lessons for recurring weak topics. Use for learning-unit selection, agent teaching drafts, controlled explanatory animation, linked practice, and archived HTML courseware.

Store, validate, review, confirm, and query Peter Zhou mistake-bank records. Use for RawMistakeRecord persistence, SourceDocument status, is_wrong review, id allocation, crop refs, and script-owned JSON writes.

Compute Peter Zhou learning overview reports. Use for total wrong counts, subject breakdown, mastery progress, repeat-correction markers, weak knowledge tags, correction candidates, and recent source/correction activity.

Recognize wrong questions from scanned/photo/PDF papers using model-native vision. Use for source manifests, page order reasoning, teacher-mark interpretation, unmarked-paper grading, and RecognitionResult creation.

Student-facing wrong-question super-teacher navigator for scanned/photo/PDF student papers. Use when the user starts Peter Zhou, asks for learning status or next actions, recognizes wrong questions, stores a mistake bank, explains mistakes, generates or prints correction practice, grades returned papers, learns a knowledge point, or reports a Peter Zhou problem from an installed user host.

Generate original Xiaohei teaching comics for Peter Zhou wrong-question explanations and knowledge pages. Use when creating or regenerating Xiaohei-style root-cause, concept-anchor, solution-path, or trap-guardrail illustrations for student-facing teaching artifacts.