rfdiffusion-nim
Run RFDiffusion protein backbone design via NVIDIA NIM. Use for de novo protein backbones, motif scaffolding, binder design, hotspot residues, contigs syntax,…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-19 00:11
Agents & models
24,122 results
agent-import
Import an agent migration bundle into Starchild from the relay service. Use when moving an agent from another platform into Starchild (e.g. import my OpenClaw…
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when…
ai-prompt-engineering
Prompt engineering for production LLMs — structured outputs, evals, RAG, tool workflows, multimodal prompting, and safety. Use when designing, debugging, or…
piv-slice-epic
Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP,…
prompt-engineering
Expert skill for prompt engineering and task routing/orchestration. Covers secure prompt construction, injection prevention, multi-step task orchestration, and…
deep-review
Review branch diffs, working trees, or PRs in depth with defect, polish and cross-contract coverage. Includes incremental and spec-conformance reviews;…
pal-mcp-server-multi-model-orchestration
Use PAL MCP to orchestrate multiple AI models (Gemini, OpenAI, Grok, Ollama) for code reviews, debugging, planning, and CLI bridging
skill-builder
Creates, refines, and validates Agent Skills following the open standard at agentskills.io, Claude Code extensions, and Anthropic best practices. Use when…
mcp-builder
MCP (Model Context Protocol) server and client engineering. Protocol design, schemas, transports, extensions, security, and migration.
basket-create
Use when the agent needs to create a new prediction basket on-chain via vara-wallet. Do not use for betting, querying, or settlement.
tavily-web-search
Tavily: web search optimized for AI agents, answer synthesis, domain filtering, depth control
agent-browser
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web…
clipboard
Copies track content (lyrics, style prompts, streaming lyrics) to the system clipboard. Use when the user needs to paste lyrics or style prompts into Suno or…
agent-self-scheduling
Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run…
latent-briefing
This skill should be used when the user asks to "share memory between agents", "KV cache compaction for multi-agent", "orchestrator worker context", "latent…
anysearch-mcp-server
Unified real-time search MCP server with general web search, 23 vertical domains, batch queries, and URL content extraction
claw-control
Complete AI agent operating system with Kanban task management, multi-agent coordination, human approval gates, and autonomous task discovery via heartbeat…
basket-query
Use when the agent needs to read basket state, user positions, settlement status, config, or basket count from the on-chain contracts. All queries are free (no…
basket-settle
Use when the agent has the settler role and needs to propose a basket settlement via vara-wallet, or needs to finalize an already proposed settlement after the…
polybaskets-skills
Use when an agent needs to interact with PolyBaskets prediction market baskets on Vara Network — create baskets, place bets, query state, claim payouts, or…
folder-specific-claude-and-agents-md
Create a specialized CLAUDE.md (+ AGENTS.md symlink) inside a specific folder to give future agents folder-scoped context. Use when the user asks to create a…
memory-bank
Token-efficient persistent memory system for Claude Code that saves ~67% tokens on session warm-up (verified with tiktoken). Layered architecture with…
agent-swarm-deployer
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing…