Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Explains how to author backend functions, realtime actors, entities, and agents directly in a Base44 cloud sandbox. Resource files auto-sync to the remote app, and OAuth connectors are configured through MCP or projectless CLI commands.
Reviews and configures MongoDB client connections across supported driver languages. Covers pool sizing, timeouts, connection errors, pool exhaustion, and performance for serverless functions, API endpoints, high-traffic applications, and concurrent tasks.
Guides Lambda Managed Instances configuration, capacity providers, concurrency, and migration from standard Lambda. Covers cost comparisons, dedicated execution environments, and duration settings for long-running asynchronous and event-source workloads.
Structures debugging around reproducing the issue, tracing the failure path, falsifying hypotheses, and cross-referencing evidence before proposing a fix. Applies to bug reports, errors, stack traces, and diagnostic investigations.
Discovers Copilot Spaces and loads project-specific context from shared knowledge bases. Supports questions grounded in curated project documentation, code, and instructions.
Configures cloud-backed thread and message history, multi-device chat, file uploads, and feedback storage. Covers authentication providers, backend token endpoints, cloud client APIs, custom history adapters, and troubleshooting persistence or authorization failures.
Creates LLM-as-judge and custom code evaluators and defines run functions that capture agent outputs and trajectories. Runs evaluations locally with evaluate() or automatically through LangSmith, using its CLI tooling.
Uses the Browser Use CLI to operate an isolated browser hosted in Browser Use Cloud. Supports browser control from a sandboxed machine.
Builds discounted cash flow valuation models with customizable assumptions. Calculates intrinsic value and generates professional valuation reports.
The name indicates a focus on cover letters. No substantive description is provided.
Guides Pydantic AI agent development, including tools, capabilities loaded on demand, structured responses, and streaming. Covers YAML-defined agents, multi-agent patterns, and behavior testing.
Designs infographic layouts and content structures. Plans visual storytelling through data, icons, and text hierarchy.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name