Systematic framework for selecting the optimal specialized agent for any task. Use when delegating to subagents via the Task tool to ensure the most appropriate specialist is…
Score 70/100
AI agent self-correction mechanisms: error detection, validation loops, recovery strategies, confidence scoring, and iterative refinement
Score 70/100
Create and structure Claude Code agent skills. Use when the user wants to create a new skill, write an agent skill, make a claude skill, or asks about SKILL.md files.
Score 70/100
Cross-model context handoff via expert council. 40% token reduction, 9.5/10 recall, 97% cross-domain preservation.
Score 70/100
Creates new agent skills following modern best practices with proper structure and documentation. Use when asked to build a new skill, organize skill resources, design skill…
Score 70/100
Comprehensive templates, patterns, and best practices for creating Claude Code subagents and skills. Use when building new agents/skills or need reference examples for proper…
Score 70/100
Create and manage AI agent skills following best practices. Use when creating new skills, optimizing context, designing multi-agent systems, or implementing progressive disclosure…
Score 70/100
Claude Code 프로젝트의 에이전트와 스킬 관계를 D3.js 노드 그래프로 시각화합니다. 에이전트-스킬 의존성을 파악하고 구조를 탐색할 때 사용하세요.
Score 70/100
Expert for creating and managing Claude Code Agent Skills. Create skills with git submodule + sparse-checkout for source references, write SKILL.md with proper frontmatter, and…
Score 70/100
Intelligent financial management skill for Claude Code that provides comprehensive PocketSmith API integration with AI-powered analysis, transaction categorization, rule…
Score 70/100
End-to-end smoke check of the moraine MCP server. Exercises every MCP tool against a live moraine stack and prints a per-tool PASS/FAIL matrix.
Score 70/100
Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer
Score 70/100
中文优先：用于智能体排序相关任务，帮助识别、设计、实现或验证对应工作流。English keywords: Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into…
Score 70/100
Création dynamique de sous-agents à la volée avec configuration, lifecycle management et resource allocation.
Score 70/100
CRITICAL: Use for writing and editing agent-spec .spec/.spec.md files. Triggers on: write spec, create spec, edit spec, new spec, spec authoring, task contract, .spec file,…
Score 70/100
CRITICAL: Use for estimating work effort from agent-spec Task Contracts. Triggers on: estimate, estimation, how long, work effort, round count, time estimate, scope, sizing, cost,…
Score 70/100
CRITICAL: Use for agent-spec CLI tool workflow. Triggers on: agent-spec, contract, lifecycle, guard, verify, explain, stamp, checkpoint, plan, spec verification, task contract,…
Score 70/100
Connect each agent’s frontmatter MCP servers safely and tear them down without leaking clients, while honoring plugin-only guards.
Score 70/100
Synchronisation d'état entre agents et sous-agents travaillant en parallèle sur un état partagé. Se déclenche avec "synchronisation agent", "état partagé", "shared state", "agent…
Score 70/100
Conception de systèmes de délégation parent-agent → sous-agents avec dispatch intelligent, suivi des tâches et agrégation des résultats.
Score 70/100
Construction d'agents superviseurs qui contrôlent, monitent et corrigent des sous-agents en temps réel.
Score 70/100
(Industry standard: Parallel Agent) Primary Use Case: Work that can be partitioned into independent sub-tasks running concurrently across multiple agents.
Score 70/100
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents,…
Score 70/100
Designs multi-agent systems with coordinated agent swarms, task distribution, inter-agent communication, and emergent collective behavior.
Score 70/100
Jeffrey Emanuel's multi-agent implementation workflow using NTM, Agent Mail, Beads, and BV. The execution phase that follows planning and bead creation.
Score 70/100
Multi-agent SWE team built on the Workshop model. Full-stack vertical workers, meeting room with @mention notification, private pipes, shared task board.
Score 70/100
Create tailored resume from job + source resume. Orchestrates the rewriting of bullet points to emphasize relevant experience without fabrication.
Score 70/100
Décomposition automatique de tâches complexes en sous-tâches pour distribution aux sous-agents. Se déclenche avec "décomposer tâche", "task decomposition", "découper en…
Score 70/100
Expert task distributor specializing in intelligent work allocation, load balancing, and queue management.
Score 70/100
에이전트 팀 구성 및 조율 스킬. 여러 Claude Code 인스턴스를 팀으로 구성하여 병렬 작업을 수행한다. 공유 태스크 목록, 에이전트 간 메시징, 파일 소유권 분리, 계획 승인 워크플로우를 지원한다.
Score 70/100
Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized…
Score 70/100
Use when executing a team-format implementation plan (produced by writing-plans-for-teams) — orchestrates a team of persistent specialist agents working in parallel with two-stage…
Score 70/100
Orchestrate full-stack development with Agent Teams for parallel implementation. Use when the user says "build with a team", "develop in parallel", "spin up an Agent Team", or…
Score 70/100
Claude Code Agent Teams - default team-based development with strict TDD pipeline enforcement
Score 70/100
Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate.
Score 70/100
Define tools for the support agent. Use when adding new capabilities like refund processing, license transfer, knowledge lookup, or any agent action.
Score 70/100
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more…
Score 70/100
Design et implémentation de systèmes de tool calling pour agents IA. Function calling, API wrapping, schema design.
Score 70/100
Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation.
Score 70/100
Use when designing or reviewing Agentforce topic structure, including topic boundaries, instruction quality, handoff rules, out-of-scope behavior, and topic-selector strategy.
Score 70/100
Expert trend analyst specializing in identifying emerging patterns, forecasting future developments, and strategic foresight.
Score 70/100
Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in.
Score 70/100
Agent skill for v3-integration-architect - invoke with $agent-v3-integration-architect
Score 70/100
Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer
Score 70/100
Validate agent YAML frontmatter and configuration. Use before committing agent changes or in CI.
Score 70/100
Construction d'un sous-agent spécialisé dans la collecte de données web pour un agent parent. Crawling, extraction, parsing et retour structuré.
Score 70/100
End a session and write back durable knowledge. Use at the end of every work session. Extracts what's worth keeping, proposes wiki updates, and executes after user approval.
Score 70/100
Deep audit of the wiki and repo-vs-wiki gap assessment. Use weekly or when things feel stale. Scans every page, finds contradictions, orphans, dead links, unsourced claims, stale…
Score 70/100
Mid-session checkpoint. Use when you want to check progress, detect scope drift, capture emerging knowledge, or do a quick wiki health check without ending the session.
Score 70/100
Begin an agent-wiki session. Reads the wiki, detects tensions between wiki content and actual state, briefs you, asks socratic questions, and proposes a session plan.
Score 70/100
Multi-agent development workflow system. Load when orchestrating development tasks, spawning subagents, or managing workflow phases.
Score 70/100
Construction d'agents d'automatisation de workflows métier incluant RPA intelligent, déclencheurs et actions chaînées.
Score 70/100
Build multi-agent AI workflows with orchestration, tool use, and state management
Score 70/100
Design and implement multi-agent orchestration systems with workflow DAGs, agent routing, handoff protocols, state management, and cost optimization.
Score 70/100
Expert workflow orchestrator specializing in complex process design, state machine implementation, and business process automation.
Score 70/100
Guide plan → instrument → execute → validate with explicit checkpoints and questions. Use for ambiguous tasks or when enforcing a consistent agent workflow.
Score 70/100
LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.
Score 70/100
Audit, validate, and troubleshoot Agentation integrations in frontend apps. Use when annotations, MCP registration, endpoint sync, webhook delivery, or watch mode readiness are…
Score 70/100
Build CLI tools using Go with Cobra and Viper. Use for implementing agentctl commands, interactive prompts, configuration management, and output formatting.
Score 70/100
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration.
Score 70/100