Folken2

Use when the user wants to build a Google ADK agent — scaffolding a new agent, adding tools/skills/prompts to one, or asking how to structure an ADK project. Triggers on phrases like "create an ADK agent", "build a Google agent", "scaffold an agent", "make an agent that does X", "I need an ADK skeleton", or any task involving generated-agents/, LlmAgent, SkillToolset, or the ADK framework. Also use whenever the user mentions `nuvel`, the `nuvel` CLI, or asks about agent architecture patterns / callbacks / HITL / streaming / ADK prompt engineering — nuvel ships the canonical knowledge skills for those topics. Lean toward triggering — if the task touches Google ADK at all, this skill is in scope.

Delegate work to sub-agents with the ADK 2.0 Task API — `mode='task'`, `mode='single_turn'`, `mode='chat'` on `LlmAgent`, the auto-attached `finish_task` tool, and typed contracts via `input_schema` / `output_schema`. Load this skill when one agent needs to hand a bounded unit of work to another and get a validated result back, or when migrating off SequentialAgent / ParallelAgent / LoopAgent.

Creating valid SKILL.md files following the agentskills.io specification — frontmatter, instructions, references directory, progressive disclosure (L1/L2/L3), and SkillToolset wiring in agent.py. Load this skill when generating domain skills for an agent.

Build graph-based agents with ADK 2.0 `Workflow` — declare nodes and edges, route conditionally, fan-out/fan-in in parallel, run dynamic nodes at runtime, and add human-in-the-loop revision cycles. Load this skill whenever the agent needs anything beyond a strictly linear or trivially parallel pipeline.

Agent architecture patterns for Google ADK 2.0 — when to reach for a single LlmAgent, a Workflow graph (new default for multi-step orchestration), or the shortcut classes SequentialAgent / LoopAgent / ParallelAgent. Load this skill when deciding the agent's top-level shape.

Pattern for turning a brief into a coherent deck outline — intent detection, section ratios, draft headings, expansion

When and how to suggest reordering, splitting, or trimming a deck — agenda placement, CTA placement, problem-solution arc, methodology-results arc

Rubric for sharpening the active slide — parallelism, bullet count, length, title strength, notes-vs-bullets separation

Agent architecture patterns for Google ADK — when and how to use LlmAgent, LoopAgent, SequentialAgent, ParallelAgent, and multi-agent hierarchies. Load this skill when deciding the agent's architecture.

ADK callback signatures, HITL approval gates, and state management — exact parameter names, before/after hooks, EventActions.state_delta, and defensive HITL patterns. Load this skill when adding callbacks or approval gates to an agent.

Writing effective ADK system prompts — dynamic instructions with InstructionProvider, state placeholders, context injection, tone/style sections. Load this skill when creating or improving an agent's system prompt.

Creating valid SKILL.md files following the agentskills.io specification — frontmatter, instructions, references directory, progressive disclosure (L1/L2/L3), and SkillToolset wiring in agent.py. Load this skill when generating domain skills for an agent.

Five canonical skill design patterns for ADK agents: Tool Wrapper, Generator, Reviewer, Inversion, and Pipeline. Load this skill during Step 2 (Design) to recommend which patterns fit the user's agent, and during Step 4 (Generate) to get skeleton templates for each pattern.

Building voice and video agents with Gemini Live API — bidirectional streaming via WebSocket, LiveRequestQueue, run_live(), RunConfig, and audio/video patterns. Load when the user wants a voice agent, live agent, or real-time audio/video capabilities.

Building Google ADK function tools — ToolContext usage, proper signatures, error handling, return formats, type hints, and async patterns. Load this skill when creating custom tools for an agent.