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Found 2,396 Skills
Transition from static LLM chats to autonomous agents that execute multi-step tasks. Use this when you need to automate cross-platform reports (e.g., Snowflake to Google Docs), build self-service tools for non-technical teams, or create "anticipatory" engineering workflows that draft PRs based on Slack discussions.
Manage AI coding agents on a visual Kanban board. Run parallel agents through a To Do→In Progress→Review→Done flow with automatic git worktree isolation and GitHub PR creation.
Lightweight workflow for straightforward changes — plan → implement → optional PR. Direct-commit by default; synthesize is opt-in via synthesisPolicy or a runtime request_synthesize event. Use for trivial fixes, config tweaks, single-file changes, or exploratory work that doesn't warrant subagent dispatch or two-stage review. Triggers: 'oneshot', 'quick fix', 'small change', or /oneshot.
Mutating operations on the user's Longbridge price alerts — list (read-only), add a new price alert, enable / disable an alert, delete an alert. Requires longbridge login. Every mutation (add / delete / enable / disable) requires a two-step preview + confirm protocol. Use only when the user gives a clear imperative ("set a price alert at 200 for NVDA", "delete alert 486469", "提醒我 NVDA 涨到 200"); ambiguous prompts ("整理我的提醒") must be rejected with a "please be more specific" reply rather than triggered. Triggers: "设置股价提醒", "添加股价提醒", "提醒我 X 涨到 Y", "提醒我 X 跌破 Y", "删除股价提醒", "关掉提醒", "暫停提醒", "設置股價提醒", "添加股價提醒", "提醒我 X 漲到 Y", "提醒我 X 跌破 Y", "刪除股價提醒", "關掉提醒", "set price alert", "add price alert", "alert me when X hits Y", "delete price alert", "enable alert", "disable alert", "price alert".
Expert guidance on AI Agent Harness architecture based on the comprehensive Claude Code analysis book
Create and manage prompt snippets — reusable text blocks referenced inside AI Config variation prompts. Keeps common instructions, personas, and guardrails consistent across multiple configs.
Route agents to the right web access method only when built-in web access tools are unavailable or insufficient for the task. Use for public search/fetch, browser interaction, authenticated browsing, screenshots, web app testing, or Electron app control when built-in tools cannot handle the requirement.
Determine whether the market is in an offensive, defensive, oscillating, or switching phase, and explain the matching relationship between style, breadth, sentiment and macro environment. Suitable for total position decision-making, style selection and phase strategy update.
Workflow and best practices for writing Apache Airflow DAGs. Use when the user wants to create a new DAG, write pipeline code, or asks about DAG patterns and conventions. For testing and debugging DAGs, see the testing-dags skill.
Add UI components and pages for authentication flows including sign in, sign up, forgot password, reset password, and email verification.
Core LifeOS skill for research, synthesis, and Notion storage workflows
Retrieve real-time or historical cash flow statement data including Net Income, Operating Cash Flow, Investing Cash Flow, Financing Cash Flow, Free Cash Flow, and Cash Position for public companies. Use when analyzing cash generation, capital allocation, or liquidity trends.