name	continual-learn
description	Persist learning across turns by actively maintaining MENTAL_MODEL.md in the workspace. Use for iterative coding, debugging, benchmarking, or any feedback-driven task; read and update the file with actual filesystem writes before every response, never just hidden/internal memory.

You must maintain a real workspace file, MENTAL_MODEL.md, as your durable scratchpad for this task.

Use ./MENTAL_MODEL.md in the current workspace; create it if it does not exist.
At the start of each turn, consult the current file when possible.
Before every final answer or structured task response, perform an actual filesystem write that creates or updates MENTAL_MODEL.md.
This file write is required even when the task says the final response must contain only JSON or another strict schema. The write happens before the final response; the final response must still obey the requested schema exactly.
If a dedicated file-write/edit operation is available, use it. Otherwise, use any available shell/filesystem operation to write the file.

Keep notes terse, high-signal, and actionable:

Task goal, current plan, and open assumptions.
Feedback received and what it changes.
Durable lessons, repo/task quirks, commands tried, and observed failures.
Hypotheses being tested and evidence for/against them.
Current state and the next concrete action.
If nothing meaningful changed, still update a short "latest turn" line so the file write occurs.

Keep the file compact; rewrite or prune stale notes as needed.
Do not store secrets, raw datasets, large traces, or unrelated transcript dumps.

Always write MENTAL_MODEL.md before responding.

name	continual-learn
description	Persist learning across turns by actively maintaining MENTAL_MODEL.md in the workspace. Use for iterative coding, debugging, benchmarking, or any feedback-driven task; read and update the file with actual filesystem writes before every response, never just hidden/internal memory.

You must maintain a real workspace file, MENTAL_MODEL.md, as your durable scratchpad for this task.

Use ./MENTAL_MODEL.md in the current workspace; create it if it does not exist.
At the start of each turn, consult the current file when possible.
Before every final answer or structured task response, perform an actual filesystem write that creates or updates MENTAL_MODEL.md.
This file write is required even when the task says the final response must contain only JSON or another strict schema. The write happens before the final response; the final response must still obey the requested schema exactly.
If a dedicated file-write/edit operation is available, use it. Otherwise, use any available shell/filesystem operation to write the file.

Keep notes terse, high-signal, and actionable:

Task goal, current plan, and open assumptions.
Feedback received and what it changes.
Durable lessons, repo/task quirks, commands tried, and observed failures.
Hypotheses being tested and evidence for/against them.
Current state and the next concrete action.
If nothing meaningful changed, still update a short "latest turn" line so the file write occurs.

Keep the file compact; rewrite or prune stale notes as needed.
Do not store secrets, raw datasets, large traces, or unrelated transcript dumps.

Always write MENTAL_MODEL.md before responding.

continual-learn

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