- Introduced new maps for navigating project knowledge, including "Current Work," "Fidelity Domain," "Fidelity Apps," "Work Items," and "People." - Created base files for daily notes, decisions, people, systems, work items, and workstreams with defined properties and views. - Developed templates for daily notes, decisions, meeting notes, persons, systems, work items, and workstreams to standardize documentation. - Updated scripts and prompts to reflect the new project-knowledge directory structure. - Removed outdated onboarding and start-here documents, consolidating relevant information into the new maps. - Ensured all references in workflows and scripts point to the new project-knowledge paths.
45 lines
1.9 KiB
Markdown
45 lines
1.9 KiB
Markdown
---
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description: Generate a high-quality prompt for GitHub Copilot on the Fidelity development machine
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---
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Generate a prompt that the user can send to GitHub Copilot or another AI assistant on the Fidelity development machine.
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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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@prompts/copilot-prompt.md
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@project-knowledge/01-current/current-work.md
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@project-knowledge/01-current/work-items.md
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@project-knowledge/03-context/project.md
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@agent-memory/workflows/ai-to-ai-prompting.md
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@project-knowledge/03-context/ios/index.md
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@project-knowledge/03-context/ios/project-swift-guidance.md
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@project-knowledge/03-context/systems/index.md
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@project-knowledge/03-context/workstreams/index.md
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Active profile, if present:
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!`profile="${AIW_PROJECT_PROFILE:-fidelity}"; if [ -f "profiles/$profile/profile.md" ]; then cat "profiles/$profile/profile.md"; elif [ -f profiles/fidelity/profile.md ]; then cat profiles/fidelity/profile.md; else echo "No profile file found."; fi`
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Detailed active work item files, if available:
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!`if [ -d project-knowledge/02-work-items ]; then for f in project-knowledge/02-work-items/*.md; do case "$f" in *README.md|*index.md) continue;; esac; echo "\n### $f"; cat "$f"; done; else echo "No work item files available."; fi`
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User request:
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$ARGUMENTS
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Instructions:
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- Use `ai-prompt-engineering` and `copilot-prompt-engineering` if available.
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- Generate a self-contained prompt for the target AI.
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- Include only context relevant to the request.
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- Include Jira ID/title when the task maps to an active work item.
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- Tell Copilot what to inspect before making assumptions.
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- Include constraints, non-goals, expected output, and validation.
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- If the user asks for implementation help but the write scope is unclear, generate an investigation/plan prompt rather than a code-change prompt.
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- Do not mention this workspace unless explaining that the target AI will not have access to it.
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Return only the final prompt unless the user explicitly asks for commentary.
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