meta
Meta Marketing CLI for Graph API automation, managing ad campaigns, insights reporting, and Instagram publishing with fail-closed security.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
293 skills found
Meta Marketing CLI for Graph API automation, managing ad campaigns, insights reporting, and Instagram publishing with fail-closed security.
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.
Search and analyze X (Twitter) trends, hashtags, and tweet data by location using custom CLI tools.
Advanced workflow orchestration for AI agents, featuring multi-model routing, Codex sandbox iteration, parallel swarm execution, and persistent memory across complex pipelines.
Handles large-scale tasks by automatically breaking them down into manageable, recursive sub-tasks to overcome context window limits and improve reasoning accuracy on large codebases and document sets.
Generate high-quality images via a local ComfyUI instance. Perfect for private workflows and professional-grade AI image synthesis.
Generate financial statements (P&L, balance sheet, cash flow) with period-over-period comparisons, variance analysis, and GAAP compliance checks.
Diagnose, isolate, and mitigate LLM context failures like lost-in-middle, poisoning, distraction, and context clash to improve agent reliability.
Adapt existing skills to your unique workflow, or create new ones for repetitive, time-consuming tasks.
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.