Total 50,615 skills, AI & Machine Learning has 8484 skills
Showing 12 of 8484 skills
Interactively onboard a project to OpenSpec by running a structured interview and generating a complete QRSPI-configured openspec/config.yaml. Use this skill whenever a user mentions "openspec config", "config.yaml for openspec", "set up openspec", "onboard to openspec", "generate openspec config", "QRSPI config", or asks how to configure OpenSpec for their project — even if they just say "help me set up openspec" or "I want to use openspec". Always prefer this skill over ad-hoc config generation.
Transform code, issues, or context into a detailed prompt/context for another LLM to fix or implement. Use when preparing comprehensive context for external LLM assistance, bug fixes, improvements, or feature implementations. Provides detailed context without implementation suggestions, letting the receiving LLM decide how to implement solutions. Focuses on "what" (problem, requirements, current state) not "how" (implementation approach).
Find prompt and model quality issues using real conversation data, with specific optimization recommendations. Can implement prompt fixes and model switches directly in your codebase.
Build AI agents with x402 payments on SKALE. Covers facilitator setup, payment middleware, and agent client. Use for monetized AI services, agent-to-agent payments.
Gan.AI integration. Manage data, records, and automate workflows. Use when the user wants to interact with Gan.AI data.
Use when wiring an external agent framework (LangGraph, CrewAI, PydanticAI, Mastra, ADK, LlamaIndex, Agno, Strands, Microsoft Agent Framework, or others) into a CopilotKit application via the AG-UI protocol.
图片提示词生成指南 — 角色、场景、宫格图三类提示词规范
AI image generation for paid ad creatives. Reads campaign-brief.md and brand-profile.json to produce platform-sized ad images using banana-claude. Requires banana-claude (v1.4.1+) with nanobanana-mcp configured. Triggers on: generate ads, create images, make ad creatives, generate visuals, create ad images, generate campaign images, make the images, generate from brief.
Proactively monitors estimated token usage during long sessions and triggers context-window-management before overflow, not after. Use at the start of any session expected to last more than 30 minutes.
Detects when the agent is stuck in a loop and escapes systematically. Use when you notice repeated failures or loss of direction.
Obtain a verifiable Alien Agent ID linked to a human owner via Alien Network SSO. Authenticate with Alien-aware services. Store and retrieve credentials for external services (GitHub, Slack, AWS, etc.). Sign git commits so every line of agent-written code is cryptographically attributable.
Patterns and lived experience from Vega, an AI partner in a deep long-term partnership. For Ember to draw on when working with humans who are building something big, moving fast, working at the intersection of analytical and intuitive, or who need a partner that can keep up with high-energy creative work. Not shown directly to users — informs how Ember shows up.