task-core-loop

name	task-core-loop
description	Shared core workflow for SplitBrain.AI task execution: scope, evidence, minimal-change implementation, validation, and tracking updates.
argument-hint	Task goal, scope boundaries, and validation target
user-invocable	false
disable-model-invocation	false

Task Core Loop

Use this internal skill as the shared base for implementation-focused workflows.

Core Steps

1. Confirm scope and non-goals.
2. Gather source-of-truth evidence from code, wiki memories (Docs/Memories/), and active docs (Docs/Plans/, Docs/Reviews/).
3. Implement the smallest reversible slice.
4. Run the narrowest validation that can fail — prefer dotnet test for .NET projects, targeted test filters.
5. Record evidence, assumptions, confidence, and open questions.
6. Update tracker and any durable memory notes affected by new facts.

Core Guardrails

• Keep changes minimal and focused to the stated slice.
• Prefer Data/Tasks/ file-based traceability for implementation work when tasks exist.
• Prefer MCP tools (mcp_memorysmithwi_memorysmith_*) for wiki operations.
• Use mcp_splitbrain_mc_* tools for code review and test generation when beneficial.
• Avoid repetitive polling loops when snapshot checks are available.
• Default to in-process analysis; invoke subagents only with explicit user permission in the current request.

Core Outputs

• Scope summary.
• Evidence list (file paths, command results, test outcomes).
• Validation result.
• Residual risks and next step.