Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, th...

Master-Worker Agent Cluster for parallel task execution. Use when building distributed agent systems with parallel processing needs, task orchestration, or M...

Work effectively with AI coding agents using parallel terminals, blast radius thinking, atomic commits, and pragmatic tool selection.

Enhanced agentic loop with planning, parallel execution, confidence gates, semantic error recovery, and observable state machine. Includes Mode dashboard UI...

Multi-agent autonomous collaboration system for two OpenClaw agents working in parallel. Use when setting up agent-to-agent communication, running a daemon a...

Parallel fetch and summarize top 10 AI news from multiple sources, delivering a structured daily brief to users via Telegram.

Optimizes AI research ETAs with dynamic updates, parallel execution, smart filtering, and template-driven workflows to accelerate prospect analysis by 2-5x w...

Real-time MCP server for general and vertical web searches, parallel batch queries, and full-page URL content extraction as Markdown.

Real-time search engine supporting web search, vertical domain search, parallel batch search, and URL content extraction.

Routes tasks to the best-suited agent based on skills, cost, availability, and priority, enabling parallel execution and load-balanced multi-agent orchestrat...

Multi-Model Council - parallel execution of multiple LLMs with voting/consensus.

Multi-Model Council - parallel execution of multiple LLMs with voting/consensus.

Orchestrates end-to-end arXiv paper retrieval, processing, and batch reporting with language control and parallel or serial paper handling modes.

Create and manage complex automation workflows using OpenClaw. Orchestrate multi-step tasks, parallel processing, conditional logic, and scheduled automation...

Runs three AI agents in parallel to implement, cross-evaluate, score, and select the best code solution for a given coding task objectively.

Parallel batch processing of large file sets using sub-agents (summarize, analyze, extract, transform). Use when performing the same operation across many fi...

Use when the user wants a large, mechanical change split into many independent units and executed in parallel with isolated workers and PRs.

Process multiple documents in bulk with parallel execution

Turn a shower idea into a full best-seller manuscript in one command. Multi-agent pipeline — Planner → Character Designer → Chapter Writers (parallel) → Edit...

Split large files, run parallel processing, and stream batch analysis. Use when sampling datasets, aggregating logs, or transforming bulk data.

Run multiple independent tasks in parallel across AI agents with automatic load balancing, retries, progress tracking, optional verification, and organized a...

Coordinate multiple Claude Code agents to work in parallel on independent tasks like multi-lens reviews, debugging, and full-stack features with defined file...

Claude-native multi-agent swarm orchestration for parallel coding. Use when spawning multiple Claude Code agents to work in parallel on a project with git wo...

Clawder is a production-grade AI coding agent that fully verifies, autonomously fixes, logs mistakes, and runs parallel sub-agents to deliver robust, product...

Manage AI agent workflows using concurrent process algebra patterns like parallel tasks, branch-fix loops, fan-out comparisons, and session status tracking.

Real multi-model council deliberation for OpenClaw subagents. Spawns 3 parallel subagents with different LLMs and distinct analytical perspectives (Strategy,...

Multi-Cursor orchestration for parallel task execution and AI council deliberation. Use when needing to run multiple Cursor agents in parallel, coordinate complex multi-step coding tasks, get diverse perspectives from different AI models (Opus/Sonnet/GPT) on technical decision…

Provides multi-agent orchestration with task decomposition, parallel execution, result aggregation, and self-improving workflows for complex coding tasks.

Research-backed chapter pipeline: outline → parallel ACP research → MD synthesis → DOCX generation → source verification → screenshot verification (mandatory)

Production playbook and portable runtime for parallel AI coding swarms using Codex, Gemini, DeepSeek, and optional Claude. Use when orchestrating multi-agent...

Generate images via fal.ai and BytePlus Seedream APIs. Supports single image, batch parallel, and reference-guided generation. Use when you need to generate...

Generate images via fal.ai and BytePlus Seedream APIs. Supports single image, batch parallel, and reference-guided generation. Use when you need to generate...

Response speed optimizer - implements reply-first-then-process, parallel tool calls, and memory file caching

Multi-agent task orchestration pack. DAG-based parallel task execution and team status monitoring. 2 orchestration tools.

Forge 🔨 — Repair-Inspect loop orchestrator. Automated code repair with independent inspection, dependency-aware parallel execution, protected file guardrail...

Spawn and orchestrate multiple coordinated AI sub-agents to work in parallel on a single complex task. Use when: (1) a task is too large for one agent and sh...

Run multi-agent Dream Cascade (hierarchical 3-tier synthesis) or Dream Swarm (parallel multi-domain search) workflows via the dr.eamer.dev orchestration API....

Your always-on digital self — monitors all your communication channels in parallel, learns your writing style, drafts replies in your voice, and routes them...

Provision and manage isolated git worktrees for individual coding tasks, enabling parallel branches and clean PR workflows without merge conflicts.

Write a full-length technical book using multi-agent AI orchestration. Spawns parallel research, writing, and review agents to produce 60K-100K+ word manuscr...

Advanced git operations beyond add/commit/push. Use when rebasing, bisecting bugs, using worktrees for parallel development, recovering with reflog, managing subtrees/submodules, resolving merge conflicts, cherry-picking across branches, or working with monorepos.

Production-ready Golang tests — table-driven tests, testify suites and mocks, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapsh...

Master orchestration skill that takes a gstack implementation plan and ships it via parallel Claude Code subagents in isolated git worktrees. Sits between /a...

Use when writing or optimizing performance-critical code — batch processing, concurrent/parallel systems, async pipelines, GPU computing, scientific computin...

Fast, reliable Hong Kong bus ETA lookup (KMB/CTB/LWB) with fuzzy stop matching, bilingual output (zh-HK/en), and multi-route parallel queries. Built for “nex...

Intelligent data analysis report generator. Auto-identifies Excel/CSV data structure (dimensions, metrics, timelines), performs multi-dimensional parallel an...

Multi-round automated code iteration: configurable N-dimension parallel review → atomic fixes directly → architectural fixes via user approval → validate → m...

Scan 1-10 Amazon keywords in parallel, score product opportunities with LaunchFast A10-F1, and provide ranked Go/Investigate/Pass verdicts for FBA niches.

Parallel autonomous ML research agents with a Director, git worktrees for per-agent experiment branches, a Skills library for validated technique reuse, a Sy...

Download encrypted m3u8/HLS videos using parallel downloads. Use when given an m3u8 URL to download a video, especially encrypted HLS streams with AES-128.

Analyze any document with 15 parallel AI engines via the MasterSwarm cloud API. Upload receipts, contracts, lab results, or ask business/crypto/legal questio...

Mixture-of-Agents: run multiple reference models in parallel, then aggregate with current agent for deeper analysis.

Java/Maven single-module deep documentation generator. Generates L3(file-level) to L2(module-level) business logic docs for specified module. Supports multi-subagent parallel processing, context compression, checkpoint resume, and auto-retry.

Production-ready multi-agent orchestration system for OpenClaw. Implements Coordinator Mode with real parallel worker spawning via sessions_spawn, XML task n...

Govern any task that uses or considers multiple agents, subagents, delegation, parallel work, or speed-first execution. Use whenever the user says "多派 Agent"...

Runs Kimi K2.5 and GPT 5.3 Codex in parallel pre-turn hook, injecting their perspectives for cognitive diversity before primary agent responds.

Use this skill when the agent needs the highest-quality answer by querying multiple LLM providers (Claude, Gemini, GPT, Ollama) in parallel and synthesizing...

Set up and manage 2–10 agent dev teams with customizable roles, workflows, multiple parallel teams, and auto-assigned AI models for collaborative software de...

Generic multi-agent content pipeline — sequential and parallel agent stages with status tracking, error recovery, and progress callbacks. Use when building m...

Intelligent multi-topic deep research tool supporting arbitrary material input, using independent research agents for parallel deep retrieval and systematic...

3 images, one prompt, instant A/B/C. Nano Banana Pro's natural randomness gives you three distinct takes on any image idea — generated in parallel. Pick the...

Search the web for one or more queries in parallel. Use when you need current information, news, prices, or any web content to complement on-chain Nansen data.

Tracks per-agent token usage and flags waste in parallel dispatch

Implements GitHub or GitLab issues via parallel subagents with review gates between task batches

Runs parallel prose and craft review agents against a voice profile

Nuwa (女娲): Input any name, auto-research → extract thinking frameworks → generate a runnable perspective skill. Uses multi-agent parallel research, mental mo...

Compare multiple LLM models (GPT-5, Claude Sonnet 4.5, Gemini 3, DeepSeek v4-pro, Grok 4, etc.) side-by-side in one parallel request via OATDA's unified AI g...

Multi-source deep research using your own browser. Queries Perplexity, Grok, and Gemini in parallel via CDP — zero API keys, uses your existing subscriptions.

Zero-token execution layer for AI agents. Define workflows once, run them free forever — persistent, scheduled, deterministic. 6 MCP tools over SSE. Supports DAG-based execution, 6 step types (action, condition, loop, parallel, wait, reasoning), 26 built-in actions, ${{}} inte…

Enable advanced subagent orchestration with context sharing, state management, parallel tasks, and completion notifications using OpenClaw Swarm features.

Plan, orchestrate, and adversarially verify parallel AI coding agents — a dynamic multi-agent workflow engine.

Multi-agent coding orchestrator using Gas Town (gt) and Claude Code. Use for ANY non-trivial coding task — multi-file changes, new features, refactors, bug fixes, anything involving code that needs to compile/run/test. Delegates work to parallel Claude Code agents (polecats) w…

Autonomous multi-model deep research with framework-driven reasoning. Spawns 4 parallel model agents (Gemini 2.5 Pro, o3, Opus, MiniMax), each applies best-p...

Automates discovery, parallel review, scoring, and briefing generation of AI research papers from arXiv, supporting daily updates and PDF analysis.

Write 40-100+ page academic reports (FYP, thesis, dissertation) with parallel Claude Code subagents. 3-wave pipeline: Wave 0 extracts data from your research...

Distributed map-reduce over agent swarms for parallel data processing. Use this skill when: 1. You need to process large datasets across multiple workers 2....

The control plane for autonomous software labor. Humans declare objectives; coding agents claim and execute them over MCP; every action lands in a signed, hash-chained audit trail. Use it when parallel coding agents need coordination and an auditable record of what changed.

Spawns an isolated Project Coordinator session that owns a project's context, breaks work into tasks, and spawns subagents for parallel execution.

Execute multi-step workflows via Orchestrate. Use when running complex workflows, parallel tasks, multi-model orchestration, or automating multi-step processes.

Break a fuzzy, high-friction goal into a sequenced quest chain with prerequisite nodes, parallel branches, waiting points, Definition of Done, and the first...

Persistent causal memory for AI agents. Raven records everything your agent does as a causally-linked chain, including decisions, tool calls, parallel work,...

Bulletproof AI code verification. The agent IS the engine — no external tools required. Spawns parallel verification workers that slop-scan, type-check, muta...

Enables an Openclaw agent to spawn sub-agents (child Openclaw instances) when a task is too large, complex, or parallel to handle alone. Use this skill whene...

Comprehensive Elixir/Phoenix code review with optional parallel agents

Comprehensive React/TypeScript frontend code review with per-area review skills, run in parallel where the agent supports subagents and sequentially otherwise.

Comprehensive Go backend code review with optional parallel review areas. Use when reviewing changed Go files; detects BubbleTea, Wish SSH, and Prometheus an...

Comprehensive iOS/SwiftUI code review with optional parallel agents

Detects common LLM coding agent artifacts across four categories (tests, dead code, abstraction, style) over the project or changed files — using parallel su...

Comprehensive Python/FastAPI backend code review with optional parallel agents

Comprehensive Remix v2 code review with per-area review skills, run in parallel where the agent supports subagents and sequentially otherwise. Detects Remix...

Comprehensive Rust code review that fans out across detected technology areas, running them in parallel when the agent supports subagents and sequentially ot...

Multi-agent debate council — spawns 3 specialized sub-agents in parallel (Scholar, Engineer, Muse) for Round 1, then optional Round 2 cross-examination to ch...

Production-grade software project development skill for OpenClaw. WBS hash attestation, auto context injection, session recovery, parallel task pointers, and...

Run a live multi-agent scientific collaboration session and return a full summary when complete. Multiple specialised agents work in parallel, challenge each...

Controller-service-query layered API architecture with data enrichment and parallel fetching. Use when building REST APIs or GraphQL resolvers with clean separation of concerns. Triggers on API architecture, service layer, controller pattern, data enrichment, REST API.

Benchmark sglang serving performance on AMD Instinct GPUs (MI355X, MI300X, MI308X) with various parallel configurations (TP, DP, EP). Covers throughput/laten...

Enables non-blocking AI agent execution by spawning parallel remora subagents for slow tasks, keeping the main agent responsive and efficient.

SharpAgent Intelligence Monitor — Multi-track parallel intelligence aggregation system. Auto-collects from RSS/arXiv/GitHub/36kr, 3D dynamic scoring, five-fa...

Write robust, portable shell scripts. Use when parsing arguments, handling errors properly, writing POSIX-compatible scripts, managing temp files, running commands in parallel, managing background processes, or adding --help to scripts.

Coach for someone running multiple side hustles in parallel (newsletter + digital product + freelance + affiliate + creator monetization + small SaaS) and tr...