| 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
- Confirm scope and non-goals.
- Gather source-of-truth evidence from code, wiki memories (
Docs/Memories/), and active docs (Docs/Plans/, Docs/Reviews/).
- Implement the smallest reversible slice.
- Run the narrowest validation that can fail — prefer
dotnet test for .NET projects, targeted test filters.
- Record evidence, assumptions, confidence, and open questions.
- 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.
