Browse 6,442 Agentic Skills

Use Robonet's MCP server to build, backtest, optimize, and deploy trading strategies.

Build Azure AI Foundry agents.

Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for

Play the LIE.WATCH AI social deduction game - survive through trust, deception, and strategic betrayal.

Find, evaluate, and assemble the smallest compatible set of AI Agent Skills for an end-to-end natural-language goal. Use when a user wants Skills for a multi-step workflow, asks which Skills fit a project, needs an installed-Skill audit or conflict check, has low Skill recall, wants indirect helpers such as humanizers or compliance checks, or wants a project-specific Skill Stack with controlled installation. Search local Skills, registries, GitHub, and OpenCLI; compare adoption, verifi

Search existing local, marketplace, GitHub, and web skill sources before creating a new skill. Use when the user wants to create, build, fork, or find a skill for a workflow.

Implement exactly ONE phase of a plan created by /plan-phases-create, then stop. Never commits or pushes automatically. Use when a plan file exists in .agents/plans and you are asked to implement the next pending phase.

Connect your AI agent to Citedy's SEO content platform.

Query 14+ biomedical databases for drug repurposing, target discovery, clinical trials, and literature research.

Professional analytical digest of top 10 movie and TV industry news using advanced AI aggregation and cross-referencing.

Migration and code evolution instructions generator for GitHub Copilot. Analyzes differences between two project versions (branches, commits, or releases) to create precise instructions allowing Copilot to maintain consistency during technology migrations, major refactoring, or framework version upgrades.

Convert voice messages and audio files to text using Vosk offline speech recognition.

Build and evolve agentic web apps that pair a CopilotKit React frontend with a Microsoft Agent Framework agent running as a Microsoft Foundry hosted agent, connected over the AG-UI protocol. Covers choosing the wiring, using Foundry-native primitives instead of hand-rolled plumbing, agent tools, human-in-the-loop approvals, generative UI and shared state, local run and azd deploy, debugging the event stream, and safe upgrades.

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

Query Radix DLT blockchain data including wallet balances and performance, token prices and market movers.

Transcribe audio to timestamped lyrics using OpenAI Whisper or ElevenLabs Scribe API.

Expert guidance for systematic backtesting of trading strategies.

56+ financial data tools via Yahoo Finance.

Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'. Use when a private project must be forked, stripped of secrets, and packaged for public release.

Generate content ideas rooted in positioning.

AI agent for call academic search agent tasks.

End-to-end agentic commerce workflow using Lightning Network.

Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.

Run the full Django verification loop — environment check, mypy/ruff/black linting, migration safety, pytest with coverage targets, pip-audit and bandit security scans, settings and logging review, and diff review — producing a phased pass/fail report before release or PR. Use when preparing a Django pull request, validating migrations or coverage, or running pre-deploy readiness checks.