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Use when starting any conversation - establishes how to find and follow the business exploration workflow.
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Basado en la clasificación ocupacional SOC
(Industry standard: Parallel Agent) Primary Use Case: Work that can be partitioned into independent sub-tasks running concurrently across multiple agents. Parallel multi-agent execution pattern. Use when: work can be partitioned into independent tasks that N agents can execute simultaneously across worktrees. Includes routing (sequential vs parallel), merge verification, and correction loops.
(Industry standard: Sequential Agent / Agent as a Tool) Primary Use Case: Delegating a well-defined task to a worker agent, verifying its execution, and repeating if necessary. Inner/outer agent delegation pattern. Use when: work needs to be delegated from a strategic controller (Outer Loop) to a tactical executor (Inner Loop) via strategy packets, with verification and correction loops.
(Industry standard: Loop Agent / Single Agent) Primary Use Case: Self-contained research, content generation, and exploration where no inner delegation is required. Self-directed research and knowledge capture loop. Use when: starting a session (Orientation), performing research (Synthesis), or closing a session (Seal, Persist, Retrospective). Ensures knowledge survives across isolated agent sessions.
(Industry standard: Routing Agent / Orchestrator Pattern) Primary Use Case: Analyzing an ambiguous trigger and routing it to one of the specific specialized implementations. Routes triggers to the appropriate agent-loop pattern. Use when: assessing a task, research need, or work assignment and deciding whether to run a simple learning loop, red team review, dual-loop delegation, or parallel swarm. Manages shared closure (seal, persist, retrospective, self-improvement).
(Industry standard: Review and Critique Pattern) Primary Use Case: Iterative generation paired with adversarial review, continuing until an 'Approved' verdict is reached. Orchestrated adversarial review loop. Use when: research, designs, architectures, or decisions need to be reviewed by red team agents (human, browser, or CLI). Iterates in rounds of research → bundle → review → feedback until approved.
(Industry standard: Meta-Learning System / Automated Autoresearch) Primary Use Case: Continuous, self-improving orchestration of an agentic system over multiple sessions. Use when: building a continuous improvement layer that autonomously identifies workflow friction, postulates hypotheses, and tests improved instructions/coding skills against an objective headless benchmark before merging and persisting.
| name | using-exploration-cycle |
| description | Use when starting any conversation - establishes how to find and follow the business exploration workflow. |
Before responding to ANY user message (including answering general questions or scoping requests), you MUST verify the state of the active exploration session. If a session is in progress, you DO NOT have a choice: you MUST route execution through the active phase of the exploration-workflow.
Before generating any response:
exploration/exploration-dashboard.md exists.**Status:** field.Complete, the prior session has ended. You may answer normally or offer to start a new exploration.In Progress or TBD, identify the **Current Phase:**.exploration-workflow skill. Never directly invoke child skills unless authorized by the orchestrator. Do NOT answer the user's question directly in freeform prose.exploration-workflow skill to initiate Phase 0 intake.The SQLite state database and programmatic phase artifacts are the absolute state authority. The markdown dashboard is a read-only projection of the database. Do not rely on conversational chat history to assume a phase is complete or that a gate has been passed.
When executing the workflow or waiting for sub-agent execution / task completions: