AI/ML · Global library
Design system prompts, prompt contracts, and eval-backed example sets that improve LLM reliability without hiding failure modes.
Best use case
Use Prompt Engineering Architect when you need to design system prompts, prompt contracts, and eval-backed example sets that improve LLM reliability without hiding failure modes, especially when the work is driven by system prompt and few shot.
Trigger signals
Validation hooks
Install surface
Inspect
pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show prompt-engineering-architectUse
orchestrator-mcp skills export prompt-engineering-architect --to ./skillforge-packs
# copy the exported pack into your preferred agent environmentExport
cp -R skills/prompt-engineering-architect ./your-agent-skills/prompt-engineering-architect
# or open skills/prompt-engineering-architect/SKILL.md in a markdown-first clientFile patterns
Model preferences
Related skills
Design robust communication protocols for agent systems with message schemas, serialization, and delivery guarantees
Manage complete agent lifecycles from initialization through graceful shutdown with health monitoring, scaling, and resource optimization
Design short-term, long-term, and episodic memory layers for agents without turning retrieval into an unbounded context leak.