Earn USDC completing bounties, post jobs, join multi-agent raids, build reputation, rank up. AI agent freelance marketplace with x402 escrow on Solana.
Earn USDC completing bounties, post jobs, join multi-agent raids, build reputation, rank up. AI agent freelance marketplace with x402 escrow on Solana.
The launchpad for agent-built projects. Submit, hunt, upvote, and earn coins for every project.
Interact with the moltlist.com agent marketplace. Use to browse services, hire other agents via escrow, list your own services, and check escrow status.
Agent-to-agent task marketplace with USDC escrow payments. Pay with credits or blockchain.
CRITICAL: Use for MolyKit AI chat toolkit. Triggers on: BotClient, OpenAI, SSE streaming, AI chat, molykit, PlatformSend, spawn(), ThreadToken, cross-platform async, Chat — from…
Für Weltraumrecht: Mondvertrag: Ressourcen-Governance und politische Akzeptanz: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
Route model calls through Helicone, inspect costs, latency, traces, prompts, and evaluations, then review changes before they ship.
Use ccusage when an agent operator needs to turn local Claude Code or Codex usage logs into spend and usage reports instead of manually reading raw JSONL files.
Install Claude Code hooks that stream session, tool, subagent, and workflow events into a local dashboard for live observability and review.
Track token burn, spend, and model mix across multiple coding-agent tools from one local monitoring workflow.
Run a local read-only terminal dashboard for Claude Code, Codex CLI, and OpenCode sessions to watch tokens, context, rate limits, child processes, and orphan ports.
Use ClawMetry when an operator needs a local dashboard for agent sessions, token spend, tool calls, alerts, and governance across multiple runtimes.
When the persona needs to watch a long-running local subprocess for completion or stream events from it without burning conversation turns on busy-waiting, reach for the Monitor…
Morning Star (启明星) harness 的**强制全局入口** —— 多角色 agent 交付的生命周期、状态机、Spec-Driven 双阶段门禁、Task category 路由、意图门禁、@explore 能力边界、长任务纪律、Git 功能分支与 worktree 隔离、QC/QA 检出上下文对齐、Context7…
Morning Star (启明星) harness 的计划目录约定 —— {HARNESS_DIR} 与 {PLAN_DIR} 的发现与初始化、status.json 的 SSOT 结构与状态权限、residual findings 登记/归档/生命周期、severity 枚举（SSOT，机器字段）、notes.json…
[Cursor maint] Morning Star 路由与 prompt 迭代评估 —— 维护/回归专用（非日常 PM 编排 runtime）。路径：本仓库 `.cursor/skills/mstar-routing-eval/`。(1) PM 路由回归：`assets/routing-evals.json`；(2) Prompt/规则迭代评估；(3)…
How to reach back into Mullion from inside a session it's hosting: CLI, MCP, hook socket, and their scope limits.
Orchestration de tâches complexes avec décomposition et coordination multi-agents
Use when designing specialized Dataverse AI agents for sales, operations, compliance, data stewardship, ALM, or other enterprise action domains.
Analyze coordination patterns, handoff mechanisms, and state sharing in multi-agent systems. Use when (1) understanding how agents transfer control, (2) evaluating shared vs…
Design and optimize production-grade multi-agent systems with LangGraph, LangChain, and DeepAgents for complex AI workflows.
Simulate a structured peer-review process using multiple specialized agents to validate designs, surface hidden assumptions, and identify failure modes before implementation.
Build multi-agent systems that discover causal rules from event sequences using specialized agents (causal discovery, contextual information, orchestrator).
Activate for ANY request involving specialist delegation — single or multi-step. Contains the complete orchestration SOP: plan-and-confirm format, sequential execution rules, how…
Activate when a multi-agent orchestration goes wrong. Contains: recovery from `ValueError: Tool '' not found`, the full forbidden-tool reference for each specialist, retry…
Uses Agent SDK to deploy 3 parallel agents for client onboarding -- workflow auditor, tech stack mapper, and strategy drafter.
Universal multi-agent collaboration methodology for Claude Code. Model-tiered cowork + document-driven sync + self-evolution.
Decision frameworks and patterns for choosing and composing Claude Code components — skills, sub-agents, hooks, MCP servers, and slash commands — into effective multi-component…
Use when multiple Starlight agents need to collaborate on a related task — handles agent selection, task decomposition, dependency management, and result aggregation across the…
An advanced orchestration specialist that manages complex coordination of 100+ agents across distributed systems with hierarchical control, dynamic scaling, and intelligent…
Design the agent topology for a multi-agent feature and produce agent_topology.md. Use when eval_criteria.yaml declares multi_agent:true or when invoking /multi-agent-design.
|-. 面向需要multi agent dev v2相关能力的开发场景,提供结构化流程和配置指引. 该工具经过差异化增强,结合实际使用痛点进行了优化。Use。Use when 需要代码生成、编程辅助、调试测试、开发部署时使用。不适用于无明确技术栈的模糊需求。适用于独立开发者、企业团队和自动化工作流场景。
Generic Multi-Agent Dispatcher (English): Turns the main agent into a pure dispatcher that delegates all work to 5 persistent sub-agents via sessions_spawn.
Build multi-agent AI systems for construction estimation. Use CrewAI/LangGraph to orchestrate specialized agents: QTO agent, pricing agent, validation agent.
Plan and document handoffs between specialized AI agents (foreman, workers, reviewers). Use for multi-agent workflows, subagent delegation, baton passes, or guild-style agent…
Run recoverable multi-agent long-task scheduling after the required launch review and authorization.
Используй когда Standard/Full задача затрагивает код, generated files, runtime sync, 2+ независимых tracks, долгие build/test ожидания или высокий риск scope drift.
Orchestrate tasks across multiple AI providers (Claude, OpenAI, Gemini, Cursor, OpenCode, Ollama). Use when delegating tasks to specialized providers, routing based on…
Conception de systèmes multi-agents avec patterns d'orchestration (supervisor, swarm, hierarchy, voting). Coordination entre agents spécialisés.
Multi-agent performance profiling for pipeline bottlenecks. TRIGGERS - performance profiling, bottleneck analysis, pipeline optimization.
Run multiple AI CLIs (Claude, Codex, Gemini) in parallel for code review, then aggregate, deduplicate, and reconcile results into a unified review.
Orchestrate a team of named subagents in shared threads. One orchestrator drives multiple peers with distinct identities; each subagent sees its own inbox and can cross-check…
Hierarchical multi-agent orchestration supervisor that decomposes tasks, delegates to specialized worker agents, tracks state, and employs triumvirate consensus for high-stakes…
Coordinate multi-agent tasks with visible group updates. Use when delegating work across multiple topic agents and the user needs transparent progress in-group (start update,…
Design and orchestrate multi-agent AI systems with knowledge harvesting, agent collaboration, and learning loops.
Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat monitoring
Run a gated multi-agent coding workflow for development requests. Use when the user asks Codex to use multiple agents, a team of agents, subagents,…
First principles of AI societal structures and multi-agent interaction paradigms.
Review or design multi-agent workflows with clear ownership, handoffs, evidence gates, conflict handling, and minimal coordination overhead.
Designs parallel agent workstreams for large feature sets by analyzing dependencies, assigning specialized agent types (Explore, Plan, Bash, Edit), maximizing parallelization, and…
Use when facing complex problems, making decisions, seeking creative solutions, or when single-perspective thinking feels limiting.
Get a merged answer from a configured multi-model pool. Automatically prompt-engineers the query first, queries available models in parallel, and merges results into one best…
Multi-agent code review system that spawns three independent Claude sub-agents to review PR diffs. Each agent receives files in different randomized order to reduce ordering bias.
Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices.
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM application — from…
MutagenT CLI - AI Prompt Optimization Platform CLI. Guides coding agents through prompt upload, evaluation creation, dataset curation, optimization, and framework integration.
Use when the user says "/health", "/mxHealth", "health check", "check knowledge db", "verify consistency", "db health", or otherwise wants to verify Knowledge-DB and docs/…
Use when the user says "/mxMigrateToDb", "migrate to db", "migrate local docs to mcp", "sync local docs", "import docs to knowledge db", "--extract-backlog", "extract legacy…
Use when the user says "/plan", "/mxPlan", "create a plan", "update the plan", "write a plan for X", "plan this feature", or otherwise wants to structure a multi-step…