Quick overview
Tools and workflows for analyzing LLM prompts, evaluating RAG pipelines, and validating agentic systems. Includes Python scripts for token counting, clarity scoring, few-shot example management, and agent workflow visualization.
Combines prompt analysis, RAG evaluation, and agent validation into a single workflow rather than requiring separate tools for each concern.
Common tasks
- Cutting token costs in a production GPT-4 prompt
- Measuring retrieval accuracy in a RAG-based Q&A system
- Validating agent tool configs before a deployment
- Building consistent few-shot examples for entity extraction
- Enforcing structured JSON output from an LLM
Install paths
Primary command
openclaw install alirezarezvani/senior-prompt-engineer
ClawHub installer
npx clawhub@latest install alirezarezvani/senior-prompt-engineer
OpenClaw CLI
openclaw skills install alirezarezvani/senior-prompt-engineer
Direct OpenClaw install
openclaw install alirezarezvani/senior-prompt-engineer
Skill metadata
- Category: Coding Agents & IDEs
- Language: Markdown
- Version: 2.1.1
- Security status: Benign
Review upstream source
The full public SKILL.md body is not directly fetchable for this entry right now, so this page is using the best available catalog metadata. Review the upstream source page for the latest files, version history, and security scan details: https://clawhub.ai/alirezarezvani/senior-prompt-engineer
