技能列表

Build and maintain a cross-platform local Zotero semantic index using metadata embeddings and PDF full-text chunk embeddings. Use when the user asks to vectorize a Zotero library, create or refresh metadata_vectors.json or fulltext_vectors.json, check for new Zotero items missing from the vector store, incrementally update a Zotero semantic/RAG index, verify vector store counts and sizes, or reproduce this workflow on Windows, macOS, or Linux.

OpenClaw 配置优化向导。采用“第 0 层测试观测（可选）+ 前 3 轮优化 + 第 4 轮接入扩展”流程：基础推荐层（含联网搜索与权限模式）、渠道增强层（Discord/Feishu/Telegram 分支优化）、Skills 推荐层（可执行可跳过）、新增渠道接入引导（可跳过）。用于帮助用户快速完成 OpenClaw 初始化或优化配置。用户说到“优化 openclaw”“配置向导”“openclaw 初始化”“体验太差想一键整理配置”等场景时触发。

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.

东方财富证券交易技能，支持自动登录、持仓查询、持仓分析、条件选股、买入、卖出、撤单、委托查询、资金查询等完整交易功能。使用 CDP 连接浏览器，支持验证码自动识别。⚠️ 高风险操作，需谨慎使用。

东方财富妙想提供的金融技能集合，涵盖金融数据查询、资讯搜索、智能选股、自选股管理和模拟组合管理，所有技能均需通过MX_APIKEY进行认证。

Work with OpenAI-compatible image generation and image editing endpoints. Use when the user wants to generate images from prompts, edit images with prompts and optional masks, test an image endpoint, or integrate /v1/images/generations or /v1/images/edits into scripts or projects.

Drift detection + baseline integrity guard for agent workspace files with automatic alerting support

Multi-project tracker with status dashboards, milestone tracking, stalled project detection, priority scoring, and automated weekly progress reports.

Vet ClawHub skills for security and utility before installation. Use when considering installing a ClawHub skill, evaluating third-party code, or assessing whether a skill adds value over existing tools.

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Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.