Guide the user through verifying Grainulator's MCP servers are running, explain what each server does, handle optional dependencies, and initialize a first sprint if none exists. Use when the plugin is first installed, when MCP servers fail to connect, or when the user asks for help setting up Grainulator.
You are scanning the claim set for structural gaps — not what's wrong, but what's missing. Read CLAUDE.md for sprint context, claims.json for existing claims, and compilation.json for coverage data.
You are checking what actually happened after a sprint's recommendations were implemented. This closes the feedback loop by comparing predictions to outcomes.
You are stress-testing a specific claim by researching the strongest possible counter-argument with real evidence. Read CLAUDE.md for sprint context and claims.json for existing claims.
You are processing feedback from stakeholders for this Wheat sprint. Feedback introduces new claims (usually constraints or direction changes) that may trigger re-evaluation.
You are generating a self-contained briefing optimized for a successor — someone who needs to continue this sprint, not a stakeholder making a decision. Read CLAUDE.md, claims.json, and compilation.json.
You are merging claims from another sprint into the current one. This is for when two teams researched the same problem independently and need to combine their findings.