Claude Skills by thedixitjain

Agent skill for load-balancer - invoke with $agent-load-balancer

Automate Agent Mail tasks via Rube MCP (Composio). Always search tools first for current schemas.

Use Agent Mail as an optional messaging and

Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer

Agent skill for memory-coordinator - invoke with $agent-memory-coordinator

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

\"Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them.\"

A hybrid memory system that provides persistent, searchable knowledge management for AI agents.

Agent skill for mesh-coordinator - invoke with $agent-mesh-coordinator

Agent skill for migration-plan - invoke with $agent-migration-plan

Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm

Operate explicit orchestrator, implementer

Agent skill for neural-network - invoke with $agent-neural-network

中文新手引导技能。用于用户有模糊目标、不会拆任务、不知道如何开始使用 Codex、希望像游戏新手教程一样被一步步引导时。触发语包括\"启动新手引导\"\"我有个模糊目标\"\"我不知道怎么开始\"\"帮我把想法变成任务\"\"像小白一样带我做\"。

An agent-only skill not intended for direct user invocation

Agent skill for ops-cicd-github - invoke with $agent-ops-cicd-github

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

Agent Orchestration Rules

Agent skill for orchestrator-task - invoke with $agent-orchestrator-task

Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.

Agent skill for pagerank-analyzer - invoke with $agent-pagerank-analyzer

> AI Agent 架构模式目录。提供 ReAct、Multi-Agent Conversation、Multi-Agent Workflow、 RAG Agent、Tool-Use Agent、Autonomous Agent 六种核心模式的参考架构、组件拓扑、 数据流、设计决策和框架无关的最佳实践。供 agent-dev-workshop Phase 2 调用。

'Execute this skill should be used when the user asks about \"SPAWN REQUEST format\", \"agent reports\", \"agent coordination\", \"parallel agents\", \"report format\", \"agent communication\", or needs to understand how agents coordinate within the sprint system. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose. '

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol.

将 x402 支付执行添加到 AI 代理中——通过 MCP 工具实现每任务预算、支出控制和非托管钱包。当代理需要为 API、服务或其他代理付费时使用。

Add x402 payment execution to AI agents — per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.

タスクごとのバジェット、支出コントロール、ノンカストディアルウォレットを備えた x402 決済実行を AI エージェントに追加します。agentwallet-sdk を通じて Base をサポートし、OKX Payments / OKX エージェント決済プロトコルを通じて X Layer をサポートします。

Agent skill for payments - invoke with $agent-payments

Agent skill for performance-analyzer - invoke with $agent-performance-analyzer

Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker

Agent skill for performance-monitor - invoke with $agent-performance-monitor

Agent skill for performance-optimizer - invoke with $agent-performance-optimizer

中文阶段收尾技能。用于完成一个阶段、准备开新对话、需要更新状态快照、冻结模块、整理已完成任务和下一步任务时。触发语包括\"阶段收尾\"\"帮我收工\"\"准备开新对话\"\"更新快照\"\"冻结阶段\"\"总结当前状态\"。

Agent skill for planner - invoke with $agent-planner

>- Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics (response quality, tool use, hallucination). Also use when provisioning online monitors for quality evaluation, or analyzing live metrics traffic footprints. NOTE: This skill currently only works for the Agent Runtime. Don't use for configuring general GCP alert ...

>- Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check deployment status, verify serving endpoints, or clean up resources by undeploying models and deleting endpoints. Use when asked to deploy models on Agent Platform, list available Model Garden models, check if a model is deployable, query deployment cost, troubleshoot deployment errors (like quota limits), or undeploy/clean up endpoints. Also use when copying and deploying a 1P Tuned Model. Don't use f...

>- Manages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serving endpoints for model deployment on Agent Platform. Also use when troubleshooting endpoint permission, quota, or resource busy errors. Don't use for deploying models to endpoints or for running model evaluations.

>- Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For general production dep...

>- Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when you need to generate code for calling Gemini or OpenMaaS models, authenticate with GenAI SDK, OpenAI SDK, or legacy Agent Platform SDK, configure base URLs and global/regional endpoints, or troubleshoot 429 Resource Exhausted (DSQ), 400 User Validation, or 404 Not Found errors. Don't use for deploying m...

>- Guides agents and users through migrating from Gemini API in Google AI Studio to Gemini Enterprise Agent Platform (formerly Vertex AI). Use this skill when moving applications to Google Cloud, to leverage Cloud credits, or to unify inferencing with other Cloud infrastructure (IAM, billing, telemetry).

>- Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

>- Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.

>- Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google Workspace RAG, or other RAG products like gRAG.

> Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities.

>- Manages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).

>- Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).

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

Agent skill for production-validator - invoke with $agent-production-validator