stock-assistant
A股交易辅助工具,集行情查询、交易记录管理、盈亏分析于一体。 用于:(1) 查询A股实时行情 (2) 管理交易记录 (3) 计算持仓和盈亏 (4) 导入/导出CSV 代码目录:D:\aicode\stock-assistant(跨平台:代码会自动适配路径) 调用方式:from fetcher import get_quote 或 python main.py quote <股票代码>
Encontre a capacidade ideal para o seu agente.
A股交易辅助工具,集行情查询、交易记录管理、盈亏分析于一体。 用于:(1) 查询A股实时行情 (2) 管理交易记录 (3) 计算持仓和盈亏 (4) 导入/导出CSV 代码目录:D:\aicode\stock-assistant(跨平台:代码会自动适配路径) 调用方式:from fetcher import get_quote 或 python main.py quote <股票代码>
Query Strava activities, stats, and workout data using Python/stravalib with interactive setup
Integrates Nevermined payment infrastructure into AI agents, MCP servers, Google A2A agents, and REST APIs. Handles x402 protocol, credit billing, payment plans, and SDK integration for TypeScript (@nevermined-io/payments) and Python (payments-py).
Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams.
Manage todo.txt tasks using topydo CLI. Add, list, complete, prioritize, tag, and organize tasks with dependencies, due dates, recurrence, and projects. Use for any task management, todo lists, or when the user mentions tasks, todos, or todo.txt. Requires Python 3 and pip. Works on macOS, Linux, and Windows.
Check flight schedules between supported airports, show timings, terminals, gates, delays, aircraft details, and optional departure countdowns using a local Python script backed by the Aviationstack API. Best for APAC routes and selected long haul routes included in the built in airport list.
Expert SurrealDB 3 architect and developer skill. SurrealQL mastery, multi-model data modeling (document, graph, vector, time-series, geospatial), schema design, security, deployment, performance tuning, SDK integration (JS, Python, Go, Rust), Surrealism WASM extensions, and full ecosystem (Surrealist, Surreal-Sync, SurrealFS). Universal skill for 30+ AI agents.
Amplitude product analytics — track events, analyze user behavior, run cohort analysis, manage user properties, and query funnel/retention data via the Amplitude API. Understand product usage, measure feature adoption, and analyze user journeys. Built for AI agents — Python stdlib only, zero dependencies. Use for product analytics, user behavior tracking, funnel analysis, retention analysis, and cohort segmentation.
ConvertKit (Kit) creator marketing — manage subscribers, forms, sequences, broadcasts, tags, and automations via the ConvertKit API. Build email lists, create automated sequences, send broadcasts, and track subscriber engagement. Built for AI agents — Python stdlib only, zero dependencies. Use for creator email marketing, newsletter management, subscriber growth, email sequences, and audience building.
4 production-ready business and growth skills: customer success manager with health scoring and churn prediction, sales engineer with RFP analysis, revenue operations with pipeline and GTM metrics, and contract & proposal writer. Python tools included (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations across Enterprise, Mid-Market, and SMB segments.
Generate WeChat comic articles and publish them to the WeChat Official Account draft box by executing local Python pipeline scripts. Use when the user wants to create a comic series from comic_type, topic, and count, or publish the latest generated task. In this skill, “发布” and “发微信” always mean only pushing to the WeChat Official Account draft box; never reinterpret them as personal chat, group chat, or message-tool sending.
Humanize AI content by detecting and auto-fixing AI generated content. Humanize AI text using Python scripts. Scans for AI vocabulary, puffery, chatbot artifacts, and auto-replaces filler phrases. Use when you want to analyze text in AI detector and bypass it in future, batch-process files, run automated cleanup, or get a report before manual humanizing.
利用python,指定某个arxiv_id/url, 基于 LLM Agent 对这篇arxiv论文进行分类与深度阅读,直接print打印阅读笔记
处理 Office 文档(Word/Excel/PPT/PDF)的技能。当用户要求读取、创建、编辑 Word 文档(.docx)、Excel 表格(.xlsx/.csv)、PPT(.pptx)或 PDF 时使用。基于 python-docx、openpyxl、python-pptx、pypdf 库。Requires: python-docx, openpyxl, python-pptx, pypdf, pandoc, LibreOffice(验证用)。
Convert Markdown text to DOCX, PPTX, XLSX, PDF, PNG, HTML, IPYNB, MD, CSV, JSON, JSONL, XML files, and extract code blocks in Markdown to Python, Bash,JS and etc files.
Extract transcript from a YouTube video using Python and summarize it.