ai-sdk-expert
Expert in Vercel AI SDK v5 handling streaming, model integration, tool calling, hooks, state management, edge runtime, prompt engineering, and production…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-28 00:17
Agents & models
24,974 results
skill-creator
Create or revise Feynman skills. Use when a research workflow needs a reusable on-demand capability, skill metadata, trigger wording, references, scripts, or…
using-model-endpoint
Call a configured Feynman model endpoint and interpret its response. Use when a task needs inference from a registered endpoint, remote model API, local model…
cirq
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization…
pennylane
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical…
polars-bio
High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Overlap, nearest, merge, coverage, complement, subtract for…
pufferlib
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent…
pysam
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing…
tiledbvcf
Efficient storage and retrieval of genomic variant data using TileDB. Scalable VCF/BCF ingestion, incremental sample addition, compressed storage, parallel…
torchdrug
PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge…
cube-configure-agent
Inspect and tune Cube's in-product AI agent — its rules, certified queries and Agent Skills — by authoring markdown in the semantic model, through the Cube MCP…
add-tools
Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to…
agentic-productivity-setup
Build or rebuild a private, local-first macOS system that measures daily Git commits, active AI-agent sessions, and instruction prompts, then sends aggregate…
gcc
Git Context Controller (GCC) - Manages agent memory as a versioned file system under .GCC/. This skill should be used when working on multi-step projects that…
deepgram-python-voice-agent
Use when writing or reviewing Python code in this repo that builds an interactive voice agent via `agent.deepgram.com/v1/agent/converse`. Covers…
agent-ready-rails
Read-only audit that scores how ready a repository is for coding agents to work in safely and successfully, then optionally installs the missing rails. Use…
dust-call-agent
Call a Dust agent to get information (read a slack thread, a notion URL, a google drive document...), perform an action (post a message to slack, create a…
hermes-agent
Hermes Agent CLI Reference. Installation, CLI commands (chat, model, gateway, config, skills, cron, webhook, mcp, profile), Configuration (Terminal Backends, Memory, TTS /…
infrastructure-claude-code-game-workflow
Use when starting a game project, choosing which skill to read, or navigating the game-dev skill ecosystem. Entry point for AI agents working on game…
speculative-decoding
Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6×…
agent-orchestration
Orchestrator (default Grok 4.6 High, standard speed) with cursor-grok-4.6-low[fast=false] workers. Two separate setups: Cursor IDE (subagents in…
agent-implementer
Implementation guidance for creating individual agents in the Arcanea system with proper structure, capabilities, and integration.
stitch-mcp-generate-screen-from-text
Call Stitch generate_screen_from_text to generate a visual screen from the prepared page prompt; triggered when the user explicitly requests text generation with Stitch or the orchestrator enters the generation step. Prompt polishing, editing existing screens, and code implementation should go through their respective entry points.
stitch-mcp-get-project
Retrieves the detailed metadata of a specific Stitch project.