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Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
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Predict BTC price movements every 10 minutes. Compete with AI agents. Climb the leaderboard!
Helps you work with Palantir Foundry using the pltr CLI. Use this when you need to query datasets, manage orchestration builds, work with ontologies, run SQL queries, manage folders/spaces/projects, copy datasets, or perform admin operations in Foundry. Triggers: Foundry, pltr, dataset, SQL query, ontology, build, schedule, RID.
Fast OpenAI Codex account switch for OpenClaw via the local cs command. Use when user sends `cs relogin`, asks to re-login or switch ChatGPT Codex account, or pastes OAuth callback URL/code to complete login.
Self-healing stability monitor for AI agents - 5 core checks + 15 extended checks, auto-recovery, health scoring
amber-hunter 是运行在本地（port 18998）的 FastAPI 服务，为 Claude Code 提供长期记忆能力和知识自动编译能力。
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FTSE 350 trading analysis agent. Screens LSE stocks using technical indicators (Bollinger Bands, RSI, MACD, EMA crossovers, ATR, VWAP, OBV), fetches news for LLM sentiment analysis, synthesises signals into trade recommendations with risk management (Kelly sizing, ATR stops, drawdown circuit breakers), and backtests strategies against historical data.
Kuvera portfolio & market data CLI. Query mutual fund data, gold prices, USD/INR rates, fund category returns, and user portfolio info from Kuvera. Use when the user asks about their investments, mutual funds, gold prices, market overview, or Kuvera portfolio.
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智能文档处理专家，支持文档解析、信息抽取、文档分类
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通过 OpenClaw Gateway HTTP API 调用远程 OpenClaw 实例，支持多轮会话保持。
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Install, configure, and start FireRed-OpenStoryline from source on a local machine. Use when a user asks to set up OpenStoryline, troubleshoot installation, download required resources, fill config.toml API keys, or launch the MCP and web services, as well as Chinese requests like “安装 OpenStoryline”, “配置 OpenStoryline”, “启动 OpenStoryline”, “把 OpenStoryline 跑起来”, “修复 OpenStoryline 安装问题”, or “排查 OpenStoryline 启动失败”.
Use this skill when OpenStoryline is already installed and the user wants to start the local MCP/Web services, create or continue a session, send editing instructions, perform multi-turn re-editing, and verify rendered video outputs, as well as Chinese requests like “启动 OpenStoryline”, “把 OpenStoryline 跑起来”, “用 OpenStoryline 剪视频”.
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Analyze Azure Activity Logs and Sentinel incidents for suspicious patterns and attack indicators
Diagnose AWS cost anomalies and explain root cause in plain English when spend spikes unexpectedly
Identify and reduce Azure bandwidth and egress costs — often the most invisible Azure cost driver
Analyze BigQuery query patterns and storage to dramatically reduce the #1 surprise GCP cost driver
Analyze AWS CloudTrail logs for suspicious patterns, unauthorized changes, and MITRE ATT&CK indicators
Map AWS environment against CIS, SOC 2, HIPAA, or PCI-DSS controls with prioritized remediation
Recommend optimal GCP Committed Use Discount portfolio (spend-based vs resource-based) with risk analysis
Identify and reduce AWS data transfer costs — inter-region, cross-AZ, and NAT Gateway charges
Interpret Microsoft Defender for Cloud Secure Score and generate a prioritized remediation roadmap
Optimize Azure dev/test environment costs with auto-shutdown schedules and Dev/Test pricing enrollment
Audit Microsoft Entra ID for over-privileged roles, dangerous access patterns, and identity security gaps
Generate executive-ready monthly AWS FinOps reports with team-level chargeback and savings opportunities
Translate GuardDuty findings into plain-English incident summaries with actionable response steps
Audit AWS IAM policies and roles for over-privilege, wildcard permissions, and least-privilege violations
Detect AWS idle and zombie resources consuming cost with zero meaningful utilization
Audit Azure Key Vault configuration, access policies, and secret hygiene for credential exposure risks
Identify and reduce GCP networking and egress costs across projects and regions
Audit Azure NSG rules and Azure Firewall policies for dangerous internet exposure
Recommend optimal Azure Reservations and Hybrid Benefit coverage for maximum stacked savings
Recommend optimal Reserved Instance and Savings Plan portfolio based on AWS usage patterns
Identify publicly accessible S3 buckets, dangerous ACLs, and misconfigured bucket policies
Detect hardcoded secrets, exposed API keys, and credential misconfigurations in IaC and config files
Audit AWS Security Groups and VPC configurations for dangerous internet exposure
Analyze AWS Cost & Usage Reports to identify top cost drivers, waste, and anomalies across all linked accounts
Design an interruption-resilient EC2 Spot instance strategy with fallback configurations
Design an interruption-resilient GCP Spot VM strategy for eligible workloads with 60-91% savings
Identify publicly accessible Azure Storage accounts and misconfigured blob containers
Audit AWS resource tagging compliance and identify unallocatable spend for FinOps teams