david.delagneau
1ad707373a
- Created daily log entries for May 13, 14, 18, 19, 20, and 21, capturing work done, findings, and next steps. - Established a daily logs index for easy navigation of daily notes. - Developed templates for daily logs, decisions, meeting notes, people, systems, and work items to standardize documentation. - Introduced base files for filtering and displaying various types of project knowledge, including daily notes, decisions, people, systems, work items, and workstreams. - Added maps for current work, fidelity apps, and fidelity domain to enhance project navigation and context.
61 lines
1.9 KiB
Markdown
61 lines
1.9 KiB
Markdown
---
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description: Generate a self-contained prompt for another AI assistant
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---
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Generate a high-quality prompt for another AI assistant that may not have access to this workspace memory.
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Read:
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@core/README.md
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@core/memory/operational-memory.md
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@workspaces/fidelity/project-knowledge/01-current/current-work.md
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@workspaces/fidelity/project-knowledge/01-current/work-items.md
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@workspaces/fidelity/project-knowledge/03-context/project.md
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@agent-memory/workflows/ai-to-ai-prompting.md
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Read active profile, if present:
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!`profile="${AIW_PROJECT_PROFILE:-fidelity}"; if [ -f "profiles/$profile/profile.md" ]; then cat "profiles/$profile/profile.md"; elif [ -f profiles/fidelity/profile.md ]; then cat profiles/fidelity/profile.md; else echo "No profile file found."; fi`
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Relevant active work item files, if available:
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!`python3 - <<'PY'
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import re
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from pathlib import Path
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summary = Path("workspaces/fidelity/project-knowledge/01-current/work-items.md")
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if not summary.is_file():
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print("No work item files available.")
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raise SystemExit(0)
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text = summary.read_text()
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paths = re.findall(r"Detail: `(workspaces/fidelity/project-knowledge/02-work-items/[^`]+)`", text)
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if not paths:
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print("No work item files available.")
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raise SystemExit(0)
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for rel in paths:
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path = Path(rel)
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if not path.is_file():
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continue
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print(f"\n### {rel}")
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print(path.read_text())
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PY`
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User request:
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$ARGUMENTS
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Instructions:
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- use `ai-prompt-engineering` when available
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- make the prompt self-contained
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- include only relevant project context
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- tell the target AI what to inspect before changing code or producing conclusions
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- include constraints, non-goals, expected output, and validation expectations
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- include work-item IDs and approved titles when relevant
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- do not assume the target AI can read this workspace
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- do not invent file paths if the implementation repository is not available here
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Return only the prompt unless the user asks for explanation.
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