feat: refactor work item file retrieval to use Python script for improved error handling and readability
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@@ -15,7 +15,7 @@ Make workspace memory maintenance part of the agent's normal job, not a separate
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## Default Agent Behavior (Real-Time Auto-Documentation)
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For EVERY meaningful prompt, the agent MUST execute a real-time auto-documentation loop. It is not an optional workflow; it is the core of the agent's job.
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For every meaningful prompt, the agent must evaluate whether a memory update is needed in the same turn. Auto-documentation is part of the job, but it must not dominate the critical path of simple user-facing answers.
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This applies to:
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@@ -27,10 +27,13 @@ This applies to:
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- debugging discussions
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- corrections to previous understanding
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The agent MUST NOT wait for a separate promotion command. The agent MUST proactively use file editing tools to update `project-knowledge/` (including 01-current, 02-work-items, 03-context, 04-people, 06-daily) within the SAME conversational turn if new information is detected or if prior context becomes stale.
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The agent must not wait for a separate promotion command. The agent should proactively update `project-knowledge/` (including 01-current, 02-work-items, 03-context, 04-people, 06-daily) within the same conversational turn when new information is clear, durable, and the destination is obvious.
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- When editing `project-knowledge/`, write as a human engineer maintaining shared project documentation.
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- Keep agent-operating logic out of `project-knowledge/`; store that logic in prompts, commands, skills, agents, or `agent-memory/`.
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- Answer-first rule: when the user's main goal is analysis, review, translation, or drafting, answer first unless persistence is required to avoid losing a clear durable fact.
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- Do not create a brand-new canonical note during the critical path of the answer unless the user explicitly asked to save the fact or the new note is the smallest correct update.
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- Prefer updating an existing canonical note over creating a new file when both are valid.
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---
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