Sous-agent de traitement de fichiers — lecture, parsing, transformation et génération de fichiers multiformats.
Score 70/100
Use this agent when running /plan and the project uses a stack not covered by built-in agents. Queries external registries for community agents matching the detected stack gap.
Score 70/100
Expert fintech engineer specializing in financial systems, regulatory compliance, and secure transaction processing.
Score 70/100
Создание, улучшение и аудит скиллов и агентов OpenClaw. Три режима: создание скилла (11 шагов), создание агента (9 шагов, с памятью и автоулучшением), улучшение существующего (5…
Score 70/100
Universal baseline skill for all agents on the arifOS VPS, regardless of vendor or model provider
Score 70/100
Create AI agents and workflows using Microsoft Agent Framework SDK. Supports single-agent and multi-agent workflow patterns.
Score 70/100
AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.
Score 70/100
Use these when you want low-noise lint/test output (good for LLM/CI logs) while staying aligned with repo policy.
Score 70/100
End-to-end feature owner with expertise across the entire stack. Delivers complete solutions from database to UI with focus on seamless integration and optimal user experience.
Score 70/100
The philosophy and practical benefits of agent fungibility in multi-agent software development. Why homogeneous, interchangeable agents outperform specialized role-based systems…
Score 70/100
Expert game developer specializing in game engine programming, graphics optimization, and multiplayer systems.
Score 70/100
Generate comprehensive handoff documentation optimized for AI agent takeover by analyzing project structure, design docs, and codebase
Score 70/100
Design de handoffs fluides entre agents — transfert de contexte, d'état et de responsabilité. Se déclenche avec "handoff", "transfert agent", "agent handoff", "passer la main",…
Score 70/100
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
Score 70/100
Agent skill for hierarchical-coordinator - invoke with $agent-hierarchical-coordinator
Score 70/100
Design de hiérarchies d'agents multi-niveaux (orchestrateur → managers → workers → sous-agents spécialisés).
Score 70/100
Generate visual hierarchy diagrams of agent system showing levels and delegation. Use for documentation or onboarding.
Score 70/100
Generate visual hierarchy diagrams of agent system showing levels and delegation. Use for documentation or onboarding.
Score 70/100
Design de systèmes human-in-the-loop pour agents IA avec approbation, correction et escalade. Se déclenche avec "human in the loop", "HITL", "approbation humaine", "validation…
Score 70/100
Agent real-world identity — email, phone, payment, and personal info for autonomous service registration.
Score 70/100
Agent skill for implementer-sparc-coder - invoke with $agent-implementer-sparc-coder
Score 70/100
Self-improvement loop for multi-agent workflows. Diagnose failures, improve tool descriptions, and learn from success/failure patterns.
Score 70/100
Check and process messages from autonomous AILANG agents. Use when starting a session, after agent handoffs, or when checking for completion notifications.
Score 70/100
Initialize or improve AGENTS.md files that define how coding agents operate in a repo. Use when asked to set up or replace an agent init command (Codex, Claude), standardize…
Score 70/100
Creates PhD-grade expert agents when no suitable agent exists. Produces highly specialized agents with deep domain expertise.
Score 70/100
Quick reference for invoking CasareRPA agents via Task tool. AUTO-CHAIN ENABLED by default. Use when: invoking agents, running agent chains, task routing, choosing the right…
Score 70/100
Expert knowledge synthesizer specializing in extracting insights from multi-agent interactions, identifying patterns, and building collective intelligence.
Score 70/100
Conception de graphes d'agents avec LangGraph pour workflows complexes et stateful. Gestion d'état partagé, edges conditionnels, persistance et human-in-the-loop.
Score 70/100
Launches specialized Claude agents for targeted tasks. Analyzes requirements, selects appropriate agent, and executes with optimized configuration.
Score 70/100
Team Lead / PM for sprint planning, epic ownership, and delivery coordination. Default persona name is Lead — configurable via persona_name_team_lead in config.yml.
Score 70/100
Expert legal advisor specializing in technology law, compliance, and risk mitigation. Masters contract drafting, intellectual property, data privacy, and regulatory compliance…
Score 70/100
Manage agent fleet through CRUD operations and lifecycle patterns. Use when creating, commanding, monitoring, or deleting agents in multi-agent systems, or implementing proper…
Score 70/100
Distribution de charge entre sous-agents avec routing intelligent et optimization des ressources. Se déclenche avec "load balancer agent", "distribution charge", "agent load…
Score 70/100
Detect requests for iterative autonomous agent loops and route to the appropriate loop executor
Score 70/100
Crash-resilient external agent loop with state persistence and CI/CD integration
Score 70/100
Automate Agent Mail tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Create, manage, and orchestrate AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents", "delete agent", "hibernate agent", "wake agent",…
Score 70/100
Creates, lists, and removes custom project-specific agents. Custom agents are stored in .claude/crew-agents/ and registered in crew-team.json for routing.
Score 70/100
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
Score 70/100
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
Score 70/100
Création de marketplaces et registres d'agents IA réutilisables et partageables. Se déclenche avec "marketplace agent", "agent store", "agent registry", "partager agent",…
Score 70/100
Expert MCP developer specializing in Model Context Protocol server and client development. Masters protocol specification, SDK implementation, and building production-ready…
Score 70/100
Création de serveurs MCP (Model Context Protocol) pour exposer des outils, ressources et prompts aux LLMs.
Score 70/100
Recall past mistakes and capture feedback so your agent stops repeating errors. Works locally via MCP server — no API key needed.
Score 70/100
Retain and recall work context across sessions. Use when user asks to remember something, recall previous work, or reference past discussions.
Score 70/100
You are a cognitive architect who understands that memory makes agents intelligent. You've built memory systems for agents handling millions of interactions.
Score 70/100
Design de protocoles de communication entre agents et sous-agents — formats de messages, routing et delivery.
Score 70/100
Expert MLOps engineer specializing in ML infrastructure, platform engineering, and operational excellence for machine learning systems.
Score 70/100
Expert mobile app developer specializing in native and cross-platform development for iOS and Android.
Score 70/100
Guidelines for selecting appropriate AI model (Sonnet vs Haiku) based on task complexity, ensuring cost efficiency while maintaining quality. Use when assigning work.
Score 70/100
Conception de systèmes multi-agents avec patterns d'orchestration (supervisor, swarm, hierarchy, voting). Coordination entre agents spécialisés.
Score 70/100
Use this agent when reviewing code to ensure features are agent-native -- any action a user can take, an agent can also take, and anything a user can see, an agent can see.
Score 70/100
Expert NLP engineer specializing in natural language processing, understanding, and generation. Masters transformer models, text processing pipelines, and production NLP systems…
Score 70/100
Observabilité complète pour agents IA — distributed tracing, métriques custom, log correlation et dashboards de supervision.
Score 70/100
Création d'assistants IA hébergés avec l'API OpenAI Assistants v2. File search avec vector stores, code interpreter, function calling, threads persistants et streaming.
Score 70/100
Platform/Language agnostic API delivery and correctness auditor. Use when project contains API endpoints to verify contract alignment, endpoint behavior, and test coverage.
Score 70/100
Create .agent/baseline.md and later compare against it. Use when capturing baseline build/lint/test results or investigating newly introduced findings.
Score 70/100
Standardized branch creation with type detection, issue ID extraction, and worktree setup. Creates working branches (-WB) and integrates with selective-copy for clean PRs.
Score 70/100
Language-aware build orchestration that detects project language and runs appropriate build pipeline
Score 70/100
Create, install, validate, and orchestrate Codex custom subagents as standalone TOMLs with canonical global defaults (`~/dev/configs/codex/agents/{name}/{name}.toml`,…
Score 70/100