1.8 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 @project-knowledge/01-current/current-work.md @project-knowledge/01-current/work-items.md @project-knowledge/03-context/project.md @agent-memory/workflows/ai-to-ai-prompting.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:
!`python3 - <<'PY' import re from pathlib import Path
summary = Path("project-knowledge/01-current/work-items.md") if not summary.is_file(): print("No work item files available.") raise SystemExit(0)
text = summary.read_text()
paths = re.findall(r"Detail: (project-knowledge/02-work-items/[^]+)`", text)
if not paths:
print("No work item files available.")
raise SystemExit(0)
for rel in paths: path = Path(rel) if not path.is_file(): continue print(f"\n### {rel}") print(path.read_text()) PY`
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.