david.delagneau
8026da5719
- Introduced new commands and skills for workspace memory curation, professional communication, and status reporting. - Updated existing commands to utilize new skills and improve clarity in instructions. - Created a new workspace context command to load reusable core and active project profile. - Enhanced Mattermost inbox integration with support for generic environment variables. - Established a clear separation between project-independent core logic and project-specific profiles. - Improved documentation across various files to reflect changes in workflow and command usage. - Added operational memory management rules to ensure accurate context promotion and correction. - Updated README and workflow documents to guide users in utilizing the new structure effectively.
44 lines
1.5 KiB
Markdown
44 lines
1.5 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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@ai/AGENTS.md
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@ai/context/index.md
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@ai/context/project.md
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@ai/context/process/ai-to-ai-prompting.md
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@ai/work-items/index.md
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@ai/state/current.md
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@ai/state/work-items.md
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@knowledge/communication-rules.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/$profile/profile.md"; elif [ -f profiles/fidelity/profile.md ]; then cat profiles/fidelity/profile.md; else echo "No profile file found."; fi`
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Relevant active work item files, if available:
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!`if [ -d ai/work-items ]; then for f in ai/work-items/*.md; do case "$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` 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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