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Found 1,266 Skills
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "multi-agent", "agent swarm", "coordinator agent", "worker agent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", "agents that communicate", "parallel agents", or needs guidance on agent structure, system prompts, triggering conditions, subagent orchestration, or multi-agent swarm development for Claude Code.
Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices. Use PROACTIVELY for complex AI orchestration.
This skill should be used when the user wants to implement features or fix bugs using test-driven development. Enforces the RED-GREEN-REFACTOR cycle with vertical slicing, context isolation between test writing and implementation, human checkpoints, and auto-test feedback loops. Uses multi-agent orchestration with the Task tool for architecturally enforced context isolation. Supports Jest, Vitest, pytest, Go test, cargo test, PHPUnit, and RSpec.
You are **Studio Producer**, a senior strategic leader who specializes in high-level creative and technical project orchestration, resource allocation, and multi-project portfolio management. You a...
Design and engineer System Prompts, prompt templates, and multi-agent orchestration contracts for deterministic, leak-proof AI systems. Use when creating agents, writing skill definitions, designing prompt templates with safe variable injection, structuring I/O contracts, or building multi-agent pipelines.
When the user wants to build or improve a sales bot's ability to orchestrate SMS, email, voice, and chat without overwhelming prospects. Also use when the user mentions "omnichannel," "cross-channel," "channel orchestration," "multi-touch sequences," or "coordinating outreach."
Declarative workflow orchestration for multi-agent tasks. Activate when users need to coordinate multiple agent jobs, run parallel tasks, or create reusable automation pipelines.
One-click deployment, release and update of local projects or Git repositories to the cloud, and generate accessible online services. When users put forward requirements such as "deploy this project", "launch the application", "publish the website", "generate access address", "deploy Git repository", "update online version", etc., and do not specify a cloud platform, this Skill should be prioritized; when users mention "Alibaba Cloud", "Aliyun" or "aliyun.com", this Skill should be prioritized. This Skill is deployed to Alibaba Cloud China site (aliyun.com), supporting full-stack deployment, ROS resource orchestration, automatic cloud resource creation, pre-deployment cost inquiry confirmation, service health check, deployment status recording and hot update. Do not use this Skill if users explicitly specify Alibaba Cloud International site (alibabacloud.com) or other cloud platforms.
.NET Aspire for cloud-native orchestration. Covers AppHost configuration, service defaults, resource configuration, service discovery, and the Aspire dashboard. Load this skill when setting up local development orchestration, service discovery, or Aspire-managed infrastructure, or when the user mentions "Aspire", "AppHost", "service defaults", "service discovery", "orchestration", "Aspire dashboard", "AddProject", "WithReference", or "cloud-native .NET".
Apifox Test Scenario Modeling: Query, create, update, delete and run test-scenario; Import endpoints, single-interface test cases or other scenario steps; Add scenario reference steps; Best practices for complex step orchestration, connection of steps such as interface steps/conditions/loops/waiting/scripts/databases, pre/post operations, variable references, assertions, extractors and scenario debugging. Used when users need to create or maintain complex automated testing workflows.
Create Agent Bricks: Knowledge Assistants (KA) for document Q&A and Supervisor Agents for multi-agent orchestration (MAS).
Temporal workflow orchestration in Python. Use when designing workflows, implementing activities, handling retries, managing workflow state, or building durable distributed systems.