prompt-engineering
Prompt Engineering for Agentic Systems
Overview
Generate optimized prompts for agentic systems with clear rationale for technique selection.
Core Principles:
- Match technique to task - Different agent types require different prompting approaches
- Trade-offs matter - Always consider cost, latency, and accuracy when selecting techniques
- Structure over verbosity - Well-organized prompts outperform long unstructured ones
- Test and iterate - Verify prompts work before deploying to production
For broader agentic system design (choosing workflows vs agents, ACI/tool specifications, guardrails, multi-agent patterns), see the ai-engineering skill.
When to Use
Invoke this skill when:
- Creating prompts for tool-using agents (ReAct pattern)
- Designing prompts for planning or strategy agents
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Creates GitHub pull requests with properly formatted titles, a body matching the project's PR template, and appropriate type/scope labels. Automatically creates labels if they don't exist. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to create a pull request. **PROACTIVE ACTIVATION**: Auto-invoke when a branch has commits ahead of main and the user signals the work is ready. **DETECTION**: Run git log origin/main..HEAD - if commits exist and user signals readiness, offer to open a PR. User says \"open a PR\", \"ready for review\", \"this is done\", \"let's merge\", \"submit this\". **USE CASES**: Feature or fix complete, user finished a series of commits and mentions review or merging.
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