Devops AI agent skills

4,131 skills in the archive. Read a skill’s instructions or open its original repository.

• Vss Ask Video

  by @NVIDIA-AI-Blueprints

  Use this skill when answering a question about previously analyzed or freshly scoped VSS video. Route through hot context, agent Markdown memory, structured VSS memory, bounded introspection, or an exact-window vss vlm run. Not…

• Vss Query Analytics

  by @NVIDIA-AI-Blueprints

  Use this skill for read-only incident, occupancy, speed, place, and analytics-sensor questions through the project-local VSS CLI. Not for live VLM, incident-range narrative reports, deployment, or alert-rule management.

• Vss Generate Video Report Rag

  by @NVIDIA-AI-Blueprints

  Generates VSS video summary reports with LVS HITL and optional Enterprise RAG document grounding. Trigger when the user asks for a frag/RAG-assisted video report, knowledge-enhanced analysis, or Enterprise RAG context in a video…

• Vss Deploy Warehouse Helm

  by @NVIDIA-AI-Blueprints

  Use when the user asks to deploy, upgrade, or size the VSS warehouse blueprint (2D / 3D / MV3DT) on Kubernetes via Helm — as opposed to Docker Compose, which is covered by vss-build-vision-ai's warehouse reference. Handles…

• Stripe Directory

  by @stripe

  Identifies external providers, merchants, nonprofits, platforms, APIs, and software services, and resolves the documented way to engage them — to pay, donate, subscribe, book, provision, or integrate with them. MUST be used…

• Stripe Projects

  by @stripe

  Use when the user wants to provision infrastructure or third-party services using Stripe Projects. Triggers: "I need a database", "set up auth", "add caching", "give me a Postgres", "provision Redis", "I need hosting", "add a…

• Hohn Concentrated Quality

  by @questflowai

  Use when evaluating Chris Hohn / TCI-style concentrated quality investing: exceptional businesses, pricing power, high returns on capital, engagement, and long-duration concentrated ownership.

• Seykota Systematic Trend

  by @questflowai

  Use when evaluating Ed Seykota-style systematic trend following: mechanical rules, long-term trend capture, small losses, position sizing, whipsaw tolerance, and emotional discipline.

• Cathie Wood Innovation

  by @questflowai

  Use when evaluating Cathie Wood-style disruptive innovation themes: S-curves, converging technologies, long-duration growth, platform adoption, and multiyear innovation portfolios.

• Watsa Insurance Float

  by @questflowai

  Use when evaluating Prem Watsa / Fairfax-style value investing: insurance float, contrarian allocation, special situations, and conservative downside-focused capital allocation.

• Coleman Tiger Growth

  by @questflowai

  Use when evaluating Tiger Cub / Chase Coleman-style growth investing: scalable tech platforms, network effects, unit economics, growth duration, and concentrated growth longs.

• Einhorn Forensic Short

  by @questflowai

  Use when evaluating David Einhorn-style forensic shorts and longs: accounting red flags, governance problems, capital allocation failures, and evidence-based short theses.

• Templeton Max Pessimism

  by @questflowai

  Use when evaluating John Templeton-style global contrarian value: buy at points of maximum pessimism, search worldwide, and demand a large discount to long-term value.

• Ackman Concentrated Activism

  by @questflowai

  Use when evaluating Bill Ackman-style concentrated long theses, activist campaigns, high-conviction multiyear bets, and public narrative plus fundamental catalysts.

• Graham Net Net

  by @questflowai

  Use when evaluating Benjamin Graham-style deep value: net-nets, working capital bargains, margin of safety, statistical cheapness, and balance-sheet protection.

• Schloss Cigar Butt

  by @questflowai

  Use when evaluating Walter Schloss-style cigar-butt value: cheap stocks, balance sheets, diversification across many bargains, and avoiding glamorous stories.

• Dalio Principles Allweather

  by @questflowai

  Use when evaluating portfolios through Ray Dalio-style economic machine, debt cycles, diversification, risk parity, and all-weather asset allocation.

• Gundlach Bonds

  by @questflowai

  Use when evaluating bond, credit, duration, yield-curve, and fixed-income relative-value setups in a Jeffrey Gundlach style.

• Postgres Database Migration

  by @timescale

  Use this skill for planning, testing, and safely executing PostgreSQL schema migrations — especially when working with production data or shared databases. **Trigger when user asks to:** - Test a schema migration before applying…

• Assimilate Popular Workflows

  by @a5c-ai

  This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape",…

• Pr Shepherding

  by @a5c-ai

  Monitor PR lifecycle from creation through merge including CI monitoring, review comment handling, thread resolution, and merge readiness verification.

• Issue Tracking

  by @a5c-ai

  Track beads as git-backed issues with persistent attribution, supporting Gas Town's bead lifecycle and convoy progress monitoring.

• Session Management

  by @a5c-ai

  Manage agent sessions including initialization, handoffs, revival (seance), and persistent identity for Polecats and Crew agents.

• Patrol Monitoring

  by @a5c-ai

  Continuous monitoring using Deacon/Witness patterns for agent health checks, stuck detection, and automated recovery.

• Seismic Picker Selection

  by @benchflow-ai

  This is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop. Use it when you have a seismic phase…

• Metabigor

  by @j3ssie

  Use when operating the metabigor CLI for OSINT recon and infrastructure mapping without API keys. Covers finding network ranges from an ASN, org, domain, or IP (net); enumerating subdomains from certificate logs (cert);…

• Archive

  by @ReScienceLab

  Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user…

• Context Engineering

  by @a5c-ai

  Dynamic context injection, mode switching (dev/review/research), selective loading, and strategic compaction for token optimization.

• Agent Coordination

  by @a5c-ai

  Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.

• Multi Service Orchestration

  by @a5c-ai

  PM2 process management, backend/frontend cascade execution, parallel worktree builds, and cross-service integration testing.

• Security Scanning

  by @a5c-ai

  AgentShield security audit with 5 scanning categories, 102 static analysis rules, and optional red-team simulation.

• Supply Chain Audit

  by @wgpsec

  供应链安全审计与攻击。当指纹识别发现 WordPress/Jenkins/Struts/Django 等已知框架、或发现 /package.json /composer.json /package-lock.json /Gemfile 等依赖声明文件时使用。也适用于发现 CI/CD 构建系统（Jenkins/GitLab CI/OpsFlow）、私有镜像仓库（Harbor/Nexus/Verdaccio）、或题目涉及供应链投毒/dependency…

• Supply Chain Attack

  by @wgpsec

  软件供应链攻击方法论。当目标使用 npm/PyPI/Maven 等包管理器、有私有仓库、使用 CI/CD Pipeline 时使用。覆盖 Dependency Confusion、Typosquatting、恶意包发布、CI/CD 投毒、构建服务器攻击

• Ai Infrastructure Attack

  by @wgpsec

  AI/ML 基础设施安全测试。当目标涉及 Jupyter Notebook/JupyterHub/JupyterLab、MLflow、Ray Dashboard、Kubeflow、Gradio/Streamlit 应用、vLLM/TGI/Ollama 推理服务、或任何机器学习平台时使用。当发现端口…

• Keeping Git Repos Clean

  by @kajisho5

  Prevents, detects, and remediates files that should never be committed — secrets (.env, API tokens, hardcoded credentials) and dev artifacts (build output, scratch databases, editor/OS files). Covers .gitignore (and why it does…

• Manual Qa

  by @gronxb

  Execute a caller's natural-language HotUpdater QA scenario on `examples/v0.85.0` with profile-scoped infrastructure prepared by `hot-updater-agent` and app interactions driven through `agent-device`. Use for AI-led manual OTA QA…

• Hot Updater

  by @gronxb

  Set up, upgrade, operate, and diagnose Hot Updater projects. Use for provider infrastructure setup or upgrades, server template extraction, deployment, delivery policy, rollback, promotion, Bundle or Release inspection,…

• Hot Updater Agent

  by @gronxb

  Use when an AI agent needs to run or inspect full HotUpdater E2E jobs, or prepare and lease a profile-scoped manual QA environment through the local `hot-updater-agent` CLI.

• Thesis Tracker

  by @ginlix-ai

  Keep a live thesis honest: pillar status, evidence ledger, monitoring triggers, drift detection. Triggers on thesis tracker, thesis update, is the thesis still intact, post-earnings thesis check, portfolio thesis review,…

• Why

  by @NeoLabHQ

  Iterative Five Whys root cause analysis drilling from symptoms to fundamentals

• Cloud Iam Audit

  by @wgpsec

  云 IAM 权限审计与提权。当获取了云平台凭据（AWS AK/SK、Azure SPN、GCP SA、腾讯云 SecretId/SecretKey）需要评估权限范围和提权路径时使用。覆盖 AWS/Azure/GCP/腾讯云的 IAM/CAM 策略分析、常见提权路径（PassRole、AssumeRole、Lambda/SCF 提权）、跨账号攻击、CloudTrail/CloudAudit…

• K8s Container Escape

  by @wgpsec

  Kubernetes 容器逃逸与集群攻击。当目标运行在 K8s 环境中、发现 6443/10250/2379 端口、获取到 ServiceAccount Token、或已在容器内时使用。覆盖容器逃逸、Pod 提权、API Server 未授权、etcd 泄露、RBAC 滥用、节点接管。任何涉及 Kubernetes、容器编排、云原生安全的场景都应使用此技能

• Cicd Pipeline Attack

  by @wgpsec

  CI/CD 流水线与供应链攻击方法论。当发现目标使用 GitHub Actions/Jenkins/GitLab CI/CircleCI/Terraform Cloud/Atlantis 等 CI/CD 系统、需要测试流水线安全性、或发现 .github/workflows/Jenkinsfile/.gitlab-ci.yml 等配置文件时使用。覆盖 PPE（Poisoned Pipeline…

• Docker Pentesting

  by @wgpsec

  Docker 安全测试与容器渗透方法论。当需要评估 Docker 容器、Docker Daemon、Docker Registry、镜像层、构建产物或容器逃逸风险时使用。覆盖容器环境识别、特权容器逃逸、docker.sock/Remote API 利用、procfs/cgroup/capabilities 滥用、Docker 用户组提权、运行时/内核 CVE、Registry 枚举、镜像层 Secret 分析和构建上下文泄露。发现 Docker…

• Aws Iam Privesc

  by @wgpsec

  AWS IAM 权限提升专项方法论。当已获取 AWS 凭据并需要提升权限、发现当前 IAM 用户/角色权限有限需要横向或纵向提权、或需要分析 IAM Policy 寻找提权路径时使用。覆盖 46 个 AWS 服务的提权技术，包括 PassRole 滥用、AssumeRole 链式提权、Lambda/EC2/ECS 计算服务提权、以及 NotAction 隐式权限利用

• Cloud Metadata

  by @wgpsec

  云元数据利用。当通过 SSRF 或已获取的 shell 可以访问云实例元数据服务时使用。覆盖 AWS/Azure/GCP/阿里云/腾讯云的元数据端点、IAM/CAM 凭据提取、IMDSv2 绕过、从元数据到云服务枚举的完整攻击链。发现任何 SSRF 场景、内网可访问 169.254.169.254 或 100.100.100.200 的场景都应使用此技能

• Azure Hybrid Lateral

  by @wgpsec

  Azure Cloud 到本地 AD 的横向移动方法论。当已获取 Azure/Entra ID 权限并需要穿越到本地 Active Directory 环境、发现目标使用 Azure AD Connect/Cloud Sync/PTA/Federation 等混合身份架构、或需要利用 PRT/Certificate/Cookie 等凭据进行 Cloud-to-OnPrem 横向时使用。覆盖 14 种横向技术：Pass the…

• Serverless Attack

  by @wgpsec

  Serverless/云函数安全测试与攻击。当目标涉及 AWS Lambda、腾讯云 SCF、阿里云 FC、Azure Functions 等 Serverless 服务时使用。当发现 API Gateway 后端是 Lambda/SCF 触发、通过 cloud-aksk-exploit…

• Cloud Aksk Exploit

  by @wgpsec

  云凭据(AK/SK)泄露后的完整利用链。当通过信息泄露/.env文件/git泄露/SSRF元数据获取到云平台 Access Key 和 Secret Key 后使用。当获取到 AWS AKIA*/ASIA*、腾讯云 AKIDz*、阿里云 LTAI* 等凭据格式时使用。覆盖凭据配置→权限枚举→资源接管→后门持久化的完整攻击链。与 cloud-iam-audit（侧重策略分析）互补——本 skill 侧重拿到凭据后的实战利用动作。腾讯云比赛场景的…

• Azure Pentesting

  by @wgpsec

  Azure 云环境渗透测试总体方法论。当目标使用 Azure/Microsoft 365/Entra ID、发现 Azure 相关资产（Blob Storage/App Service/Azure VM/Azure Functions）、获取 Azure 凭据（Service Principal/Managed Identity/Access Token）、或需要对 Azure 环境进行安全评估时使用。提供从未授权枚举到 Entra ID…

• Tencent Pentesting

  by @wgpsec

  腾讯云渗透测试方法论。当目标使用腾讯云服务、发现 cos.*.myqcloud.com 资产、获取腾讯云 SecretId/SecretKey、在 CVM 实例内可访问 metadata.tencentyun.com 元数据、或需要对腾讯云 CAM/CVM/COS/TencentDB/TKE/SCF 等服务进行安全评估时使用。覆盖 CAM 提权、CVM 接管、COS 对象存储利用、TencentDB 数据库攻击、TKE 容器集群、SCF 云函数、CLB…

• Gcp Pentesting

  by @wgpsec

  GCP 云环境渗透测试总体方法论。当目标使用 Google Cloud Platform、发现 GCP 相关资产（GCS Bucket/Compute Engine/Cloud Functions/GKE）、获取 GCP 凭据（Service Account Key/OAuth Token/Metadata Token）、或需要对 GCP 环境进行安全评估时使用。提供从未授权枚举到提权、后渗透、GCP-to-Workspace 穿越的全流程决策树。覆盖…

• Aliyun Pentesting

  by @wgpsec

  阿里云渗透测试方法论。当目标使用阿里云服务、发现 oss-*.aliyuncs.com 资产、获取阿里云 AccessKey（LTAI 开头）、在 ECS 实例内部可访问 100.100.100.200 元数据、或需要对阿里云 RAM/ECS/OSS/RDS/ACK/FC 等服务进行安全评估时使用。覆盖 RAM 提权、ECS 接管、OSS Bucket 利用、RDS 数据库攻击、ACK 容器集群、FC 函数计算、SLB 负载均衡、日志服务、KMS 密钥管理

• Aws Pentesting

  by @wgpsec

  AWS 云环境渗透测试总体方法论。当目标使用 AWS 云服务、发现 AWS 相关资产（S3 Bucket/EC2 实例/Lambda 函数/CloudFront 分发）、获取 AWS 凭据（AK/SK/Session Token/IAM Role）、或需要对 AWS 环境进行安全评估时使用。提供从未授权枚举到提权、后渗透、持久化的全流程攻击决策树，引导到专项技能深入。覆盖 47+ AWS 服务攻击面

• Aws Post Exploit

  by @wgpsec

  AWS 后渗透与持久化专项。当已获取 AWS 高权限（Admin/PowerUser）或特定服务权限后，需要进行数据窃取、横向移动到其他账户/区域、建立持久化后门、或清理攻击痕迹时使用。覆盖 S3/RDS/DynamoDB/EBS 数据窃取、跨账户 AssumeRole 横向、Lambda/IAM/EventBridge 持久化后门、以及 CloudTrail/GuardDuty 规避技术

• Gcp Exploit

  by @wgpsec

  GCP 云环境攻击方法论。当目标使用 Google Cloud Platform、发现 GCP Service Account/Metadata/Storage Bucket 时使用。覆盖 Metadata 服务利用、Service Account 密钥窃取、IAM 提权、GKE 逃逸、Storage Bucket 枚举

• K8s Webhook Abuse

  by @wgpsec

  Kubernetes Admission Webhook 滥用与策略引擎利用。当集群存在 Kyverno/OPA Gatekeeper/自定义 Webhook、DNS 扫描发现 kyverno-svc 或 gatekeeper 服务、或需要从 Mutating Webhook 提取注入的 Secret 时使用。核心手法：伪造 AdmissionReview 请求。任何在 K8s 中发现 Webhook 服务或策略引擎的场景都应使用此技能

• K8s Network Recon

  by @wgpsec

  Kubernetes 集群内网络侦察与服务发现。当已获得 Pod Shell、需要发现集群内其他服务、执行 K8s 内网扫描时使用。覆盖 DNS PTR 反查、SRV 记录枚举、AXFR 域传输、K8Spider 使用。任何在 Pod 中需要横向侦察、寻找隐藏服务、确定攻击目标的场景都应使用此技能，即使用户没有明确提到 DNS

• K8s Sidecar Attack

  by @wgpsec

  Kubernetes Sidecar 容器流量劫持与敏感信息窃取。当目标 Pod 存在 Istio/Envoy/Linkerd sidecar、题目提到'隐形旁观者'或'共享网络'、或需要从 Pod 内部嗅探流量时使用。覆盖 tcpdump 抓包、sidecar 明文流量捕获、共享网络命名空间利用。只要在 K8s Pod 中发现有 sidecar 或多容器共存的迹象，就应使用此技能

• K8s Storage Exploit

  by @wgpsec

  Kubernetes 存储与文件共享利用。当 Pod 挂载了 NFS/EFS/PV/ConfigMap/Secret、发现 /efs 或 /mnt 目录、或 mount 输出中有远程文件系统时使用。覆盖 NFS 挂载利用、AWS EFS uid/gid 伪造、nfs-cat 免挂载读取、PV 敏感数据提取。只要在容器中发现任何远程挂载或共享存储，就应使用此技能

• Terraform Module Library

  by @Dicklesworthstone

  Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC…

• Multi Cloud Architecture

  by @Dicklesworthstone

  Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from…

• Cost Optimization

  by @Dicklesworthstone

  Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.

• Context Driven Development

  by @Dicklesworthstone

  Use this skill when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md, and workflow.md files.

• Deployment Pipeline Design

  by @Dicklesworthstone

  Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use when architecting deployment workflows, setting up continuous delivery, or implementing GitOps practices.

• Futuapi

  by @qusong0627

  富途 OpenAPI 交易与行情助手。查询行情、K线、报价、快照、买卖盘、逐笔成交、分时数据；搜索标的与资讯；解析期权代码、查询期权链/到期日/IV/行权概率；执行买入/卖出/下单/撤单/改单；查询持仓/资金/账户/订单；订阅实时推送；加密货币 (BTC/ETH) 行情与交易；预测市场（Event Contract、Combo 询价）；指标列表与计算（MA/MACD/RSI/KDJ/BOLL）；API…

• Daily Review

  by @qusong0627

  A股每日复盘（专业版）— 基于 QuantDB 本地数据 + 当日新闻情绪 + 模型推理信号 + L1/L2 因子截面 + 板块资金流的盘后复盘：指数、涨跌结构与涨停梯队、量能、行业/概念轮动、资金面、L2 微观结构、当日有新闻股票匹配、模型推理信号复盘（昨日推理命中率 + 明日信号Top5）、次日走势方向研判（六维信号加权 → 明确方向+置信度）。用户说「复盘」「每日复盘」「复盘某天」时使用：跑取数脚本（daily_review +…

• Stock Research

  by @qusong0627

  个股深度研究（多 Agent 编排版）— 多角色分析师并行编排（技术/新闻/资金情绪/基本面/市场 5 分析师并行 → 多空辩论 → 研究经理汇总），数据全部走 QuantMind 本地（QuantDB + PG 新闻富集 + Huntly），新闻双通道（自家 FinBERT 量化情绪 + 实时搜索补充）。用户说「深度研究」「个股深度研究」「研究某只股票」「多角度分析」时使用：跑 research_data.py 取数 → 并行分析师 → 辩论 →…

• Model Training Config

  by @qusong0627

  QuantMind 模型训练配置文件生成器：把自然语言需求（市场/周期/模型/因子/超参/时间切分）转成前端『模型训练 → 导入配置』可直接导入的 quantmind-model-training-config 文件（YAML/JSON，.yml 扩展名），并内置 schema 校验脚本与 5 个可直接导入的演示/预设配置。当用户要生成/编写/导出训练配置文件、批量造训练…

• Tigeropen

  by @qusong0627

  Tiger Brokers OpenAPI Python SDK — complete skills for AI coding tools. Covers SDK setup, market data queries, stock/futures/options trading, real-time push subscriptions, CLI command-line tool, and MCP server integration. Use…

• Tigeropen Java

  by @qusong0627

  Tiger Brokers OpenAPI Java SDK — complete skills for AI coding tools. Covers SDK setup, market data queries, stock/futures/options trading, real-time push subscriptions, account management, and strategy examples. Use when…

• Tigeropen Go

  by @qusong0627

  Tiger Brokers OpenAPI Go SDK — complete skills for AI coding tools. Covers SDK setup, market data queries, stock/futures/options trading, real-time push subscriptions, and raw API calls. Use when building trading applications in…

• Tigeropen Typescript

  by @qusong0627

  Tiger Brokers OpenAPI TypeScript SDK — complete skills for AI coding tools. Covers SDK setup, market data queries, trading, and real-time push subscriptions. Use when building trading applications in TypeScript/Node.js, querying…

• Tigeropen Csharp

  by @qusong0627

  Tiger Brokers OpenAPI C# SDK — complete skills for AI coding tools. Covers SDK setup, market data queries, trading, and real-time push subscriptions. Use when building trading applications in C#/.NET, querying market data,…

• Tigeropen Cpp

  by @qusong0627

  Tiger Brokers OpenAPI C++ SDK — complete skills for AI coding tools. Covers SDK build setup, market data queries, trading, and real-time push subscriptions. Use when building trading applications in C++, querying market data,…

• Tigeropen Rust

  by @qusong0627

  Tiger Brokers OpenAPI Rust SDK — complete skills for AI coding tools. Covers SDK setup, async market data queries, trading, and real-time push subscriptions. Use when building trading applications in Rust, querying market data,…

• News Sentiment Research

  by @qusong0627

  新闻情绪研究方法论 — Huntly RSS 42万篇历史新闻 → FinBERT+词典双引擎情绪 → 事件研究/来源预测力/时段特征/信号强度/首日动量/情绪反转/事件标签 七维深度分析 → 融合规律优化策略回测（来源白名单+时段过滤+多篇确认+首日动量+反转出场+连续/标签加成+无止损+动态止盈）→ 研报级…

• Install Futu Opend

  by @qusong0627

  Futu OpenD 安装助手。自动下载安装Futu OpenD 并升级 Python SDK。支持 Windows、MacOS、Linux。用户提到安装、下载、启动、运行、配置 OpenD、开发环境、升级 SDK、futu-api 时自动使用。

• Stock Picks

  by @qusong0627

  每日复盘后的股票推荐（多维度选股）— 综合 A股每日复盘（市场方向/板块/资金/新闻情绪）+ 个股深度分析（9层），用多维度筛选条件（L2微观结构为主/模型融合分/仓位信号/板块强度/新闻情绪）从全市场挑出未来几天大概率走强的股票，支持跨多日聚合（--window），输出候选榜 + 综合复盘 + Top 个股深度分析，落盘 PDF 到股票报告目录。用户说「选股」「推荐股票」「每日推荐」「明日看好」「选股推荐」「复盘后选股」时使用：跑复盘取数 →…

• Stock Market Analysis

  by @qusong0627

  股票市场深度数据分析与导出 — 全市场信号扫描、行业轮动、个股研报级深度分析（基本面/估值/技术/资金筹码/情绪/风险六维）、数据挖掘、CSV/Excel 导出。在 QuantBot / Claude Code 中分析股票市场、挖掘机会、导出分析数据、生成选股报告时使用。触发词：分析市场、数据分析、数据挖掘、全市场扫描、行业轮动、导出数据、导出CSV、挖掘机会、个股研报、个股分析、深度分析

• Quantmind Operations

  by @qusong0627

  QuantMind 平台运营操作技能 — 覆盖模型训练、模型管理、后台数据更新、字段信息查询、RSS 新闻对接与分析。在 QuantBot / Claude Code 中处理模型训练、数据同步、新闻分析等任务时使用。触发词：模型管理、数据更新、字段信息、RSS、新闻分析、查看数据、同步数据

• Market Analysis

  by @qusong0627

  市场分析报告（大盘快照版）— 复用市场分析页面全部数据能力：核心指数、市场广度与情绪温度、行业板块/热门概念热力图、行业多日涨跌幅对比（1/3/5日）、板块资金流（1日/5日/10日）、个股主力资金 Top20、标签体系统计。用户说「市场分析」「大盘分析」「行情分析」「今天市场怎么样」「市场报告」时使用：跑取数脚本（market_analysis.py）→ AI 基于 facts 撰写解读 → Markdown → PDF（研报风）→ 落盘股票报告目录…

• Quantdb Data Structure

  by @qusong0627

  QuantDB 服务器数据结构与读取口径 — 数据目录组织（1_kline_data~6_ml_datasets）、Hive 分区规律（dt=YYYYMMDD 整数）、单文件 {symbol}.parquet、parquet 后缀式代码 600519.SH 与 PG 前缀式 SH600519 的转换口径、quantdb_hub.py 单一读取入口与 DuckDB 视图清单、服务器路径映射（/opt/quantmind/data/quantdb → 容器…

• Model Train Infer Backtest Report

  by @qusong0627

  模型训练-推理-组合回测-专业报告 全流程 — 提交T+N周期模型训练（13种模型类型：lightgbm/xgboost/catboost/random_forest/linear/mlp/gru/lstm/alstm/transformer/tabnet/tcn/nativetft，GPU训练+GPU推理）、批量推理全年、自定义组合策略回测(分数阈值+大盘MA+止损)、导出研报级MD+PDF报告。在 QuantBot / Claude Code…

• Quantdb Fields

  by @qusong0627

  QuantDB 字段单位速查手册 — 全部数据集实测验证的单位、口径与陷阱（个股 volume=股/amount=万元、指数 volume=手、L2原始逐笔 l2_data/tick_data、technical % vs l1 小数、dividend_rate 百分数、PG 前缀 symbol）。用 QuantDB…

• Rd Agent Factor Mining

  by @qusong0627

  RD-Agent A股因子挖掘端到端流水线：环境 preflight → 启动演化 → 轮询完成 → 批量回测评估 → IC/Sharpe 排序 → explain 解读 → export 入库 → Markdown 报告。在 QuantBot / Claude Code 中挖因子时使用，一条命令跑完整流程。触发词：挖因子、因子挖掘、挖新因子、因子演化、RD-Agent、alpha agent、自动挖因子、一键挖因子、因子回测、演化因子、启动因子任务

• Stock Deep Research

  by @qusong0627

  个股深度投研分析（智能体自主版）— 拉取 QuantMind 本地数据（特征快照/模型推理分数/新闻）→ 多空子代理辩论 → 综合研判 → 生成 md 报告 → 导出 PDF 到平台「股票报告」页。任何大模型（deepseek/qwen/glm/openai/minimax）都能执行，不依赖容器投研管线。在 QuantBot / Claude Code 中深度分析股票时使用。触发词：投研分析、多空辩论、股票报告、生成报告、多空分析、AI分析师

• News Sentiment Finbert

  by @qusong0627

  RSS 新闻情绪识别（FinBERT 中文金融情感）安装与运维 — 情绪管线架构、transformers 安装、FinBERT 权重下载、字典法扩充、全量重算、情绪筛选/条形图/个股资讯标签的使用。在 QuantBot / Claude Code 中排查新闻情绪不生效、重新安装 FinBERT、扩充情绪词、触发新闻情绪重算时使用。触发词：情绪识别、FinBERT、情绪不生效、情绪都是中性、字典法、新闻重算、news sentiment

• Ai Ide Strategy Writing

  by @qusong0627

  AI-IDE 写策略与执行 — 用 AI 生成 Qlib 量化策略代码、Docker 容器执行策略/回测、自然语言条件选股、策略落库。在 QuantBot / Claude Code 中让 AI 写策略、生成 Qlib 策略、执行策略回测、云端保存策略时使用。触发词：AI写策略、写策略、生成策略、策略代码、AI-IDE、运行策略、执行策略、帮我写个策略、云端策略

• Quantdb Sdk

  by @qusong0627

  QuantDB 数据 SDK — API Key 配置、数据集目录、字段查询。在 QuantBot / Claude Code 中查询 QuantDB 数据、配置 API Key、预览/同步数据集、远程查询 K 线/财务/因子时使用。触发词：quantdb、QuantDB、数据key、API key、数据集、数据字段、远程数据、同步数据集、查询K线、查看字段

• Quantmind Deploy

  by @qusong0627

  QuantMind 部署与运维 — 一键部署、快速部署、Docker 部署、数据库初始化、部署问题排查。在 QuantBot / Claude Code 中部署 QuantMind、排查部署失败、初始化数据库、检查服务健康、更新部署时使用。触发词：部署、一键部署、快速部署、部署失败、装不上、怎么部署、docker部署、部署问题、数据库初始化、服务起不来

• Batch Inference Analysis

  by @qusong0627

  批量推理结果分析 — 用 QuantMind 选股策略方法论分析每日信号、行业轮动、个股分数区间、负分参考。在 QuantBot / Claude Code 中分析批量推理结果、解读每日信号、判断市场状态、选股决策、做空参考时使用。触发词：分析批量推理、解读信号、每日选股、市场状态判断、行业轮动分析、负分参考、信号分析、批次分析、选股决策

• Backtest Center

  by @qusong0627

  回测中心 — 快速回测、专家模式、回测历史、策略对比、参数优化、策略管理、高级分析。在 QuantBot / Claude Code 中运行 Qlib 回测、对比策略、优化参数、分析回测结果、管理策略时使用。触发词：回测、回测中心、运行回测、策略对比、参数优化、回测历史、专家模式、高级分析、模型回测、推理回测

• Simulation Trading

  by @qusong0627

  模拟交易 — 下单买卖、持仓管理、成交查询、账户状态、资金快照。在 QuantBot / Claude Code 中执行模拟交易、下单、查询持仓、查看账户、管理交易记录时使用。触发词：模拟交易、模拟下单、买入股票、卖出股票、查持仓、查账户、模拟账户、模拟交易记录、模拟撤单

• Smart Strategy Stock Picking

  by @qusong0627

  智能策略选股 — 基于 QuantDB 数据的条件选股。在 QuantBot / Claude Code 中按自然语言或条件筛选股票、构建股票池、生成策略时使用。触发词：筛选股票、股票池、条件选股、智能策略、按条件选股、自然语言选股、帮我选出

• Radiology Translation

  by @huang-sir1

  Move a validated imaging model from retrospective performance toward clinical use — design the clinical-use scenario, model outputs, reader (multi-reader multi-case) studies of radiologist-vs-AI-vs-radiologist+AI, decision…

• Ai News Radar

  by @LearnPrompt

  Use when working on AI News Radar, 24 小时 AI 更新雷达, AI 更新雷达, 伯乐Skill, or Scout Skill: finding high-signal AI/tech sources, adding RSS/OPML/GitHub feeds, checking source health, updating the web UI, GitHub Actions, or GitHub Pages…

• Analyse

  by @NeoLabHQ

  Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target

• Plan Do Check Act

  by @NeoLabHQ

  Iterative PDCA cycle for systematic experimentation and continuous improvement

• Cause And Effect

  by @NeoLabHQ

  Systematic Fishbone analysis exploring problem causes across six categories