Agent Mastery — Claude / Anthropic
Open a video or resource link, watch it, then check its box to track your progress and unlock what comes next.
Search Live Openings
We don’t have a direct job-board feed matched to this one yet, so here are real, live US job searches for “Agent Mastery — Claude / Anthropic” instead.
Build from first principles with Claude agents and Claude Code, then connect external systems through MCP and harden the system for real work.
Learn the shared agent architecture once, then build independently in Claude, Microsoft Copilot and Google Cloud/GCP — including tools, MCP servers/resources, memory, orchestration, evaluation, security, deployment and a working application/system.
Benchmark: Official vendor agent-building documentation and workshops (current Sep 2026)
Mastery Ladder
Understand the Agent Loop
Claude model behavior, instructions and context management; Claude Code agentic loop, project instructions and plan/act/observe; tools, resources, prompts, skills and sub-agents.
Connect + Orchestrate
MCP clients/servers, local and remote servers, resources and tool schemas; Agent Skills, tool discovery, code execution and multi-agent patterns; memory/state, retrieval, permissions and human approvals.
Evaluate + Operate
Task suites, tool-use evals, tracing and regression gates; sandboxing, least privilege, prompt-injection defenses and containment; long-running/managed agents, reliability, cost and production rollout.
Official Learning / Build Resources
Claude Code: Foundations recorded workshop
Model Context Protocol documentation
Agent Skills engineering guide
Writing effective tools for agents
Code execution with MCP
Managed Agents architecture
Hands-On Build Lab — Build Sequence
- 01 – Agent shell: Install/configure Claude Code or Claude API/Agent SDK environment; define a real workflow, system prompt/project instructions and success criteria.
- 02 – Knowledge + context: Add repository/files or retrieval context; establish explicit context boundaries and failure behavior.
- 03 – Build an MCP server: Expose at least two typed tools and one useful resource; write precise descriptions, validation, auth and error handling.
- 04 – Connect + act: Attach the MCP server; make Claude invoke tools on representative tasks; add one consequential write/action behind approval.
- 05 – Skills + orchestration: Package one repeatable domain procedure as a Skill; optionally add sub-agents/parallel work where evidence supports it.
- 06 – Evaluate + red team: Create representative tasks and assertions; test wrong-tool choice, injection, over-authority, secrets leakage and malformed tool responses.
- 07 – Operate: Add logs/traces, retries/timeouts, cost/latency measures, sandbox/permission boundaries, runbook and rollback plan.
Build Lab Resources
Anthropic MCP docs
Claude Code CLI / MCP configuration
Anthropic containment and sandboxing
Functional System Capstone
Build a functional Claude-powered operations or knowledge-work application that reads trusted context, discovers and calls your MCP tools, performs at least one real external action with human approval, uses a reusable Skill, passes a documented eval suite, records traces, handles tool failure safely and can be demonstrated end-to-end from user request to verified outcome.
Proof Rubric
- Working behavior
- correct MCP tool/resource discovery
- schema quality
- safe authentication
- least privilege
- meaningful approval boundaries
- task-success evidence
- adversarial testing
- useful traces
- failure recovery
- latency/cost awareness
- reproducible setup
- and a concise architecture/decision record