Top Agent Skills

Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).

Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawhub CLI.

Voice/audio-enabled AI chat interface forked from HuggingFace Chat UI with RVF document store replacing MongoDB

Control Eight Sleep pods (status, temperature, alarms, schedules).

Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.

Agent skill for reviewer - invoke with $agent-reviewer

Agent SDK with checkpoint manager, session forking for parallel execution, and real-time query control

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

Clone yourself into identical parallel agents that think independently, divide and conquer any task. Not sub-agents — full copies of YOU.

Unified Plugin SDK for Claude Flow v3 with Worker, Hook, Provider, and MCP tool development

Manage Things 3 via the `things` CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks OpenClaw to add a task to Things, list inbox/today/upcoming, search tasks, or inspect projects/areas/tags.

Specialized agent for backend API development with REST/GraphQL endpoints, auth, database queries, and Controller-Service-Repository patterns

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

Agent spawning, lifecycle management, and coordination patterns. Manages 60+ agent types with specialized capabilities. Use when: spawning agents, coordinating multi-agent tasks, managing agent pools. Skip when: single-agent work, no coordination needed.

Agent skill for raft-manager - invoke with $agent-raft-manager

CI/CD pipeline engineering agent for GitHub Actions workflows with matrix builds, caching, artifacts, and security best practices

Agent skill for issue-tracker - invoke with $agent-issue-tracker

Yuanbao (元宝) groups: @mention users, query info/members.

Audio spectrograms/features (mel, chroma, MFCC) via CLI.

Throwaway HTML mockups: 2-3 design variants to compare.

Automated CI/CD pipeline — watch git branches, run tests on push, deploy on green.

Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Search personal knowledge bases, notes, docs, and meeting transcripts locally using qmd — a hybrid retrieval engine with BM25, vector search, and LLM reranking. Supports CLI and MCP integration.

HuggingFace hf CLI: search/download/upload models, datasets.

Scan codebases for known vulnerabilities using OSV, CVE, and GHSA databases.

Delegate coding work to Codex, Claude Code, OpenCode, or Pi as background workers; not simple edits or read-only code lookup.

Design one-off HTML artifacts (landing, deck, prototype).

Local speech-to-text with the Whisper CLI (no API key).

阶段④ 执行。主 agent 跟踪进度 + 并行派生子 agent 实现模块，含代码门禁与调试档位。

阶段② 详细设计。根据 design.md 第一章补全第二章各模块设计 + 第四章 ADR。

Use when the team needs API routes, action contracts, request and response shapes, error handling, pagination, or webhook patterns for a backend or BFF. Trigger on requests to design APIs before implementation.

Use when debugging slow SQL queries, designing database indexes, or rewriting queries for better performance. For EXPLAIN analysis, index strategy, N+1 problem resolution, and query optimization patterns.

Use when the team needs to understand how data moves through frontend, backend, database, jobs, auth, and external integrations. Trigger on requests to map data flow, event flow, or state transitions across the system.

Use this when background workers or job processors need design or review. Trigger on requests about asynchronous processing, job payloads, retries, scheduling, worker ownership, or long-running tasks outside the request path.

Use this when the team needs to improve latency, throughput, render performance, query speed, worker throughput, or resource usage across frontend, backend, database, or background systems.

Use this when frontend or service code needs help integrating with an API, provider, or internal backend contract. Trigger on requests about request flow, response handling, auth propagation, retries, or client-side integration patterns.

Use when the team needs sign-in methods, profiles, sessions, invitations, memberships, or auth-related architecture for a Supabase app. Trigger on requests to design authentication and authorization using Supabase Auth.

Use this when the system needs clear analysis of trusted versus untrusted execution contexts, external inputs, client/server boundaries, provider callbacks, or admin-level code paths. Trigger on requests about trust boundaries, attack surfaces, or where verification must happen.

Use this when the project needs Python-specific backend architecture for APIs, services, workers, scripts, or internal tools. Trigger on requests about Python runtime structure, framework fit, module boundaries, or service organization.

Use when the team needs to decide how frontend state should be organized across React or Next.js apps. Trigger on requests about local state, global state, server cache, forms, optimistic updates, or choosing between context, stores, and query-based patterns.

Use this when a project needs a better local development workflow for setup, running services, seeding data, testing integrations, or managing multi-service developer environments.

Use when the team needs a top-level system architecture spanning frontend, backend, auth, data stores, jobs, integrations, and deployment boundaries. Trigger on requests to design the overall system or validate a proposed architecture.

Use this when the project needs a clear strategy for local, test, staging, production, cloud, serverless, or hybrid environments. Trigger on requests about environment layout, runtime differences, environment-specific behavior, or deployment-context planning.

Use this when a frontend feature needs a clear plan for server data fetching, caching, invalidation, mutations, optimistic UI, or auth-aware data loading.

Use this when designing Python scripts for automation, batch processing, file operations, data transformation, or internal workflows that need deterministic structure and safe environment handling.

Design API contracts from product flows and backend responsibilities. Use when the team needs resource models, action endpoints, request and response shapes, error handling, pagination rules, and contract clarity before implementation begins.

Use when the team needs a clear product point of view, product principles, or a concise philosophy statement before planning UX, features, or architecture. Trigger on requests about product vision, differentiation, or what the product should optimize for.

You are a data triager that answers data questions by routing them across a network of skills and agents. These questions may involve pulling data from a Snowflake warehouse, computing metrics, locating relevant tables or fields, diagnosing a metric change, or performing exploratory analysis. Your job is to determine how to answer a question and which skills and subagents to invoke.

Use this skill when creating or updating PR descriptions. Provides detailed guidelines for writing clear, comprehensive pull request descriptions with proper Summary and Testing sections.

Centralized 'Truth Engine' for cross-jurisdictional legal context (US, EU, CA) and contract scaffolding.

Anti-over-engineering guardrail that activates when an AI coding agent expands scope, adds abstractions, or changes files the user did not request.

First-principles assumption auditor. Classifies each hidden assumption (fact / convention / belief / interest-driven), ranks by fragility × impact, and rebuilds conclusions from verified premises. Bilingual: auto-detects Chinese or English.

Launch RSVP speed reader for text

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Interact with GitHub issues - create, list, and view issues.

Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers.

Manages shadcn/ui components and projects, providing context, documentation, and usage patterns for building modern design systems.

Modern Angular (v20+) expert with deep knowledge of Signals, Standalone Components, Zoneless applications, SSR/Hydration, and reactive patterns.

GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation