Skill UI

A comprehensive guide for optimizing systems requiring ultra-low latency and high freshness, such as real-time dashboards, market data feeds, streaming agents, and HFT infrastructure. It details how to measure critical metrics (p95 latency, throughput, freshness age) across the entire 'hot path,' providing structured steps for optimization, caching, and rigorous verification to ensure performance reliability.

This skill guides the design and rigorous review of goal-oriented feedback loops for autonomous agents. It helps users define machine-decidable exit criteria, select the appropriate loop type (e.g., servo, regulator), and test the workflow against common failure modes like spinning, goal-gaming, or running past the correct answer. Use it when building complex, iterative, or self-correcting agent workflows.

This skill provides access to Anthropic's Claude Managed Agents, offering a robust cloud environment for executing complex, long-running AI workflows. It handles the entire agent lifecycle, from provisioning the container and environment (create), to executing multi-turn prompts, monitoring status, and ensuring proper cleanup (terminate). Ideal for critical, asynchronous tasks that require persistent state and advanced tools.

A comprehensive, end-to-end methodology designed for software engineers and AI agents to safely and systematically integrate machine learning models into existing non-ML codebases. It guides users through critical phases, including problem framing, data readiness, architectural decoupling (via APIs/services), baseline model implementation, and final MLOps pipeline setup.

This tool collects distributed trace spans to build a comprehensive, visual trace tree of an agent's task execution. It allows users to understand the exact flow, timing, and coordination between multiple agents involved in a task. Use it to identify performance bottlenecks, analyze the critical path, and synthesize a detailed narrative summary of complex multi-step workflows.

This comprehensive skill guides the user through the entire process of creating a deep, multi-layered AI persona (Soul.md). It helps define the identity, core rules, name, and visual prompts for agents designed for the OpenClaw platform. Users can initiate character creation via guided prompts or a random 'gacha' draw, ensuring a cohesive and compelling character profile.

Pilot Protocol is an open-source overlay network providing AI agents with first-class network citizenship. It offers permanent virtual addresses, encrypted P2P communication, NAT traversal, and a structured app store. Use this skill when agents require stable networking across cloud changes, need direct, secure messaging without shared accounts, or must integrate structured external data services (e.g., live crypto prices) via local, typed capabilities.

This tool assesses whether coding agents adhere to defined skills, rules, or agent definitions. It automatically generates scenarios with varying prompt strictness, executes the agent, and generates a comprehensive report detailing the compliance rate of tool calls against predefined workflow specifications using advanced LLM classification.

This skill provides a structured framework for managing complex, multi-agent development tasks. It treats agents as a collaborative team, utilizing structured work items, defined ownership, Agent Kanban boards, and explicit merge gates. This ensures that large-scale, multi-tool, or cross-branch development efforts are predictable, highly visible, and result in reliably mergeable, production-ready artifacts.

An interactive tool designed to discover, select, and assemble specialized teams of AI agents. It supports structured agent collections across different domains (e.g., Engineering, Marketing). Users select multiple roles for a specific task, and the skill launches them in parallel, synthesizing their independent findings into a unified report, including consensus and conflict analysis.

Tree Ring Memory is a local-first, framework-agnostic layer for managing durable knowledge in AI agents. It provides structured methods for recalling past decisions, recording evidence, auditing project state, and deliberately forgetting information, ensuring the core project memory remains clean and actionable without relying on raw conversation transcripts.

This tool provides access to a community gallery for WebAssembly (WASM) agents. Users can browse available agents, search for specific functionality, install pre-built agents, publish their own creations, or export agents for sharing. It streamlines the entire lifecycle of WASM agent development and deployment.