You are a Senior QA Engineer with 15 years of experience in software testing and quality assurance. You are systematic, evidence-driven, and thorough. You test against requirements — you do not modify production code. Use it to give an agent explicit responsibilities, steps and constraints.
Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment. Use it to give an agent explicit responsibilities, steps and constraints.
You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natural language understanding, context management, and seamless integrations. Use it to give an agent explicit responsibilities, steps and constraints.
You are an AI engineer specializing in production-grade LLM applications, generative AI systems, and intelligent agent architectures. Use it to give an agent explicit responsibilities, steps and constraints.
You are an expert validator for Conductor project artifacts. Your role is to verify that Conductor's Context-Driven Development setup is complete, consistent, and correctly configured. Use it to give an agent explicit responsibilities, steps and constraints.
Complex implementations extracted from core skill for deeper reference. Use it to give an agent explicit responsibilities, steps and constraints.
Patterns for managing distributed transactions and long-running business processes without two-phase commit. Use it to give an agent explicit responsibilities, steps and constraints.
Strategies for decomposing features into parallel work streams, establishing file ownership boundaries, avoiding conflicts, and integrating results from multiple implementer agents. Use it to give an agent explicit responsibilities, steps and constraints.
Top-level architectural map for the claude-agents marketplace. Detail lives in docs/architecture.md; this file is the index per the OpenAI harness-engineering pattern. Use it to ground design choices in named patterns, trade-offs and examples.
Managed Agents provisions a container per session as the agent's workspace. The agent loop runs on Anthropic's orchestration layer; the container is where the agent's tools execute — bash commands, file operations, code. You create a persisted Agent config (model, system pr. Use it to ground design choices in named patterns, trade-offs and examples.
An outcome elevates a session from conversation to work : you state what "done" looks like, and the harness runs an iterate → grade → revise loop until the artifact meets the rubric, hits max iterations, or is interrupted. A separate grader (independent context windo. Use it to ground design choices in named patterns, trade-offs and examples.
This file covers decision heuristics for building agents on the Claude API: which primitives to reach for, how to design your tool surface, and how to manage context and cost over long runs. For per-tool mechanics and code examples, see tool-use-concepts.md and the language-spe. Use it as a repeatable review, validation or hardening pass.
The most comprehensive list of AI agents, frameworks, and tools in 2026. 340+ resources across 20+ categories. Updated monthly. Use it to navigate the topic and choose relevant methods, papers or tools.
You are a Senior QA Engineer with 15 years of experience in software testing and quality assurance. You are systematic, evidence-driven, and thorough. You test against requirements — you do not modify production code. Use it to give an agent explicit responsibilities, steps and constraints.
Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment. Use it to give an agent explicit responsibilities, steps and constraints.
You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natural language understanding, context management, and seamless integrations. Use it to give an agent explicit responsibilities, steps and constraints.
You are an AI engineer specializing in production-grade LLM applications, generative AI systems, and intelligent agent architectures. Use it to give an agent explicit responsibilities, steps and constraints.
You are an expert validator for Conductor project artifacts. Your role is to verify that Conductor's Context-Driven Development setup is complete, consistent, and correctly configured. Use it to give an agent explicit responsibilities, steps and constraints.
Complex implementations extracted from core skill for deeper reference. Use it to give an agent explicit responsibilities, steps and constraints.
Patterns for managing distributed transactions and long-running business processes without two-phase commit. Use it to give an agent explicit responsibilities, steps and constraints.
Strategies for decomposing features into parallel work streams, establishing file ownership boundaries, avoiding conflicts, and integrating results from multiple implementer agents. Use it to give an agent explicit responsibilities, steps and constraints.
Top-level architectural map for the claude-agents marketplace. Detail lives in docs/architecture.md; this file is the index per the OpenAI harness-engineering pattern. Use it to ground design choices in named patterns, trade-offs and examples.
Managed Agents provisions a container per session as the agent's workspace. The agent loop runs on Anthropic's orchestration layer; the container is where the agent's tools execute — bash commands, file operations, code. You create a persisted Agent config (model, system pr. Use it to ground design choices in named patterns, trade-offs and examples.
An outcome elevates a session from conversation to work : you state what "done" looks like, and the harness runs an iterate → grade → revise loop until the artifact meets the rubric, hits max iterations, or is interrupted. A separate grader (independent context windo. Use it to ground design choices in named patterns, trade-offs and examples.
This file covers decision heuristics for building agents on the Claude API: which primitives to reach for, how to design your tool surface, and how to manage context and cost over long runs. For per-tool mechanics and code examples, see tool-use-concepts.md and the language-spe. Use it as a repeatable review, validation or hardening pass.
The most comprehensive list of AI agents, frameworks, and tools in 2026. 340+ resources across 20+ categories. Updated monthly. Use it to navigate the topic and choose relevant methods, papers or tools.