- Introduced a primary agent for the Fidelity AI Workspace to maintain context and support daily engineering tasks. - Created commands for loading workspace context, drafting updates for Jeff, and logging daily notes. - Implemented translation and standup generation commands to enhance communication clarity. - Developed a compaction plugin to preserve essential workspace context during sessions. - Established a structured approach for managing project knowledge, communication rules, and decision-making processes. - Updated README and project structure to reflect new workflows and usage guidelines.
38 lines
879 B
Markdown
38 lines
879 B
Markdown
---
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description: Load Fidelity workspace context for the current session
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---
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Load and internalize the active context for this Fidelity workspace before answering any follow-up questions today.
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Use these files as the baseline context:
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@README.md
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@ai/AGENTS.md
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@ai/context/project.md
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@ai/context/people/jeff.md
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@ai/state/current.md
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@ai/context/decisions/rest-vs-graphql.md
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@ai/context/decisions/discourse-handling.md
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@knowledge/workspace-model.md
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@knowledge/communication-rules.md
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Today's date:
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!`date +%F`
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Today's log, if present:
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!`if [ -f ai/logs/$(date +%F).md ]; then cat ai/logs/$(date +%F).md; else echo "No log exists for today yet."; fi`
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Recent logs available:
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!`ls -1 ai/logs 2>/dev/null | sort | tail -n 5`
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Respond with:
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1. Current context
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2. Communication risks
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3. Missing context to capture today
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Keep the response concise, then wait for the next request.
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