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Found 282 Skills
Queries, creates, updates, and manages QuickBooks Online data via the qbo CLI. Use when working with QBO entities (invoices, customers, bills, payments, vendors, accounts, items, estimates), running reports, or setting up install, auth, sandbox, and company switching.
General-purpose web search using DuckDuckGo and AI-synthesized search engines. Use this skill for web searches, current information, fact-checking, news, and research on any topic where live internet data is needed. Supports all languages. Three modes: fast web results, AI-synthesized answers (IAsk.ai, great for deep questions and academic research), and Monica AI synthesis. Trigger on: "search for", "look up", "find information about", "what is the latest", "search the web", "find out about", "what happened with", "current status of", "recent news", "is X still true", "查一下", "搜索", "查资料", "上网查", "検索して", "調べて", any question requiring real-time or post-training web data. Do NOT trigger for: code exploration, local file analysis, codebase-internal questions, or well-established facts fully covered by training knowledge. Note: if the `agent-reach` skill is also available, prefer `ddg-search` for pure web search tasks; prefer `agent-reach` when the task involves social platforms (Twitter, Reddit, YouTube, WeChat, Bilibili, etc.) or platform-specific APIs.
Cross-platform hot list aggregation API service — Based on the open source project DailyHotApi, it supports automatic local deployment, and you can obtain real-time hot search data from more than 40 platforms with zero configuration. It covers mainstream platforms including Douyin, Weibo, Zhihu, Bilibili, Baidu, Toutiao, Kuaishou, etc. Trigger words: hot spots, hot search, trends, hot list, trending, hot topics.
Comprehensive software development planning and implementation skill. Triggers when: Creating new Python software with CLI/GUI/Web interfaces, planning software architecture and modules, designing scientific or engineering applications, setting up bilingual documentation and PyPI publishing, or needing academic research-based feature design. Capabilities: Pre-development planning and research, multi-interface design (CLI + PySide6 GUI + Flask Web), scientific visualization with pyqtgraph, academic literature-based feature design, sample data and test documentation generation, bilingual README with structured sections, GPLv3 licensing and PyPI publishing setup.
Select, configure, and operate portfolio management systems for advisory firms, covering model portfolios, UMA/sleeve management, drift monitoring, rebalancing, and custodian data feeds. Use when the user asks about choosing a PMS platform, building or distributing model portfolios, implementing UMA or sleeve-based management, setting drift monitoring thresholds, aggregating held-away assets, reconciling PMS with custodian records, configuring PMS-based billing, or troubleshooting custodian feed issues. Also trigger when users mention 'portfolio management system', 'Orion', 'Black Diamond', 'Tamarac', 'Addepar', 'Advent APX', 'model portfolio', 'sleeve management', 'rebalancing engine', 'custodian feed', or 'PMS migration'.
Design and implement straight-through processing and operational automation for securities operations. Use when measuring STP rates and identifying manual touchpoints in an existing process, replacing review-all workflows with exception-based processing, selecting automation patterns for account opening trade processing settlement reconciliation or billing, designing integration between portfolio management custodian CRM and order management systems, building exception queuing categorization and auto-resolution workflows, evaluating RPA vs API-based vs hybrid automation for legacy systems, establishing operational controls and audit trails for automated environments, conducting process mining or root cause analysis on exception volumes, or setting STP rate targets and continuous improvement programs.
Guide fee disclosure compliance across advisory, brokerage, fund, and retirement plan contexts. Use when the user asks about Form ADV Item 5 fee schedules, prospectus fee table format, Reg BI cost disclosure obligations, 12b-1 fee transparency, revenue sharing arrangements, wrap fee program costs, or ERISA 408(b)(2) service provider fee disclosure. Also trigger when users mention 'hidden fees', 'total cost to the client', 'are we disclosing all layers of fees', 'expense ratio comparison', 'fee billing in advance vs arrears', 'share class selection', 'indirect compensation', or ask whether fee disclosures are complete and compliant.
Full workflow of AI short drama generation: account management, scriptwriting, video production. Integrated with X2C billing system, suitable for commercial deployment. It includes three core modules: ad-account-manager (account management), ad-writer (scriptwriting prompts), ad-producer (video production).
Use when billing for AI model token usage — setting up @commet/ai-sdk tracked() middleware, configuring balance consumption model plans with AI model pricing, tracking input/output/cache tokens, cost calculation with margins, or building AI products that need usage-based billing.
DrChrono integration. Manage Patients, Appointments, ClinicalNotes, MedicationOrders, LabOrders, BillingProfiles and more. Use when the user wants to interact with DrChrono data.
Predicts client renewal likelihood based on health score signals. Analyzes engagement, support, adoption, satisfaction, billing, stakeholder, and usage data to calculate a weighted Health Score (0-100), classify renewal risk, and generate a prioritized action plan with early warning signals and recommended save plays.
Generates a comprehensive client health overview across all accounts. Reads CRM data, support tickets, usage metrics, billing, and engagement logs. Calculates health scores, trend direction, and RAG status per client. Outputs a sorted risk report with recommended actions.