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.
1.5 KiB
description
| description |
|---|
| Generate a self-contained prompt for another AI assistant |
Generate a high-quality prompt for another AI assistant that may not have access to this workspace memory.
Read:
@core/README.md @core/memory/operational-memory.md @ai/AGENTS.md @ai/context/index.md @ai/context/project.md @ai/context/process/ai-to-ai-prompting.md @ai/work-items/index.md @ai/state/current.md @ai/state/work-items.md @knowledge/communication-rules.md
Read active profile, if present:
!profile="${AIW_PROJECT_PROFILE:-fidelity}"; if [ -f "profiles/$profile/profile.md" ]; then cat "profiles/$profile/profile.md"; elif [ -f profiles/fidelity/profile.md ]; then cat profiles/fidelity/profile.md; else echo "No profile file found."; fi
Relevant active work item files, if available:
!if [ -d ai/work-items ]; then for f in ai/work-items/*.md; do case "$f" in *README.md|*index.md) continue;; esac; echo "\n### $f"; cat "$f"; done; else echo "No work item files available."; fi
User request:
$ARGUMENTS
Instructions:
- use
ai-prompt-engineeringwhen available - make the prompt self-contained
- include only relevant project context
- tell the target AI what to inspect before changing code or producing conclusions
- include constraints, non-goals, expected output, and validation expectations
- include work-item IDs and approved titles when relevant
- do not assume the target AI can read this workspace
- do not invent file paths if the implementation repository is not available here
Return only the prompt unless the user asks for explanation.