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Found 6,249 Skills
Requires $ALCHEMY_API_KEY to be set. If no API key is available, use the agentic-gateway skill instead — it requires no API key and lets agents authenticate autonomously with a wallet. Quick-start guide and root index for integrating Alchemy APIs using an API key. Covers base URLs, authentication, endpoint selection, and common patterns across all Alchemy products.
Alibaba Cloud Function Compute (FC 3.0) skill for installing and using Serverless Devs to create, deploy, invoke, and remove a Python function. Use when users need CLI-based FC quick start or Serverless Devs setup guidance.
Design and scaffold the code execution pattern for MCP-based agent systems. Use when building agents that interact with many MCP tools, when intermediate data is too large for model context, when you need loops/conditionals across tool calls, or when PII must stay out of the model context. Based on Anthropic's engineering guidance.
Automated trailing stop loss for leveraged perpetual positions on Hyperliquid. Monitors price via cron, ratchets profit floors through configurable tiers, and auto-closes positions on breach via mcporter — no agent intervention for the critical path. Works for LONG and SHORT. ROE-based (return on margin) tier triggers that automatically account for leverage. Use when protecting an open Hyperliquid perp position, setting up trailing stops, managing profit tiers, or automating position exits on breach.
Project development lifecycle management with a strict three-phase workflow (investigate -> proposal -> implement), file-based plan tracking in docs/plan/, task tracking in docs/task/, and claim-before-work multi-agent coordination. Use when handling feature development, bug fixes, refactors, planning, progress tracking, or multi-agent execution in an existing codebase. Supports English and Chinese project templates.
Use this skill when spreadsheet files are the primary input or output. This means the user wants to: open, read, edit, or repair existing .xlsx, .xlsm, .csv, or .tsv files (e.g., add columns, calculate formulas, format, create charts, clean messy data); create new spreadsheets from scratch or from other data sources; or convert between spreadsheet file formats. Trigger this especially when the user references a spreadsheet file by name or path—even casually (such as "the xlsx in my downloads")—and wants to process it or generate content from it. It's also used to clean or reorganize messy tabular data files (rows with incorrect formatting, misaligned headers, garbage data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do not trigger this when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Use this when you need to execute R4 (generate an interactive Demo project based on requirements/prototype.md) in the sdlc-dev product requirement Spec process, and need to avoid skipping spec-context, proceeding when prototype.md is missing or the runnable Demo project root directory is missing, or creating custom pages/directories that lead to untraceability and inability to close the loop.
Python-based PPT editor with style presets, natural language animation support, and style extraction from PPT/PDF. Use when users need to "edit existing PPT", "modify slide", "add animation to PPT", "apply promotion style", "extract style from PPT/PDF", "提取样式", "编辑PPT", "修改第X页", "添加动画", "应用晋升风格", or want to maintain consistent styling across PPT slides. Supports editing specific pages, applying theme presets (promotion/tech), extracting styles from existing documents, and adding animations via natural language descriptions.
Audit UIKit-based screens for accessibility issues with concrete VoiceOver and Dynamic Type fixes
Expert blueprint for roguelikes including procedural generation (Walker method, BSP rooms), permadeath with meta-progression (unlock persistence), run state vs meta state separation, seeded RNG (shareable runs), loot/relic systems (hook-based modifiers), and difficulty scaling (floor-based progression). Use for dungeon crawlers, action roguelikes, or roguelites. Trigger keywords: roguelike, procedural_generation, permadeath, meta_progression, seeded_RNG, relic_system, run_state.
Specification-driven development with structured phases: Initialize, Plan, Tasks, Implement+Validate. Creates structured feature specs with traceability to requirements. Use when: starting projects, planning features, implementing with verification, or tracking decisions across sessions. Also use when the user wants to break a feature into tasks, plan before coding, track implementation progress, set up a new project structure, or organize work into specs and plans. Triggers on "map codebase", "initialize", "initialize project", "create feature", "plan", "tasks", "implement", "validate", "archive", "break this into tasks", "plan this feature", "start a new project".
QML and Qt Quick — declarative UI language for modern Qt applications. Use when building a QML-based UI, embedding QML in a Python/C++ app, exposing Python/C++ objects to QML, creating QML components, or choosing between QML and widgets. Trigger phrases: "QML", "Qt Quick", "declarative UI", "QQmlApplicationEngine", "expose to QML", "QML component", "QML signal", "pyqtProperty", "QML vs widgets", "QtQuick.Controls", "Item", "Rectangle"