Skill · em Automatizar e estender

senior-prompt-engineer

World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system…

Procedência

Antes de instalar

7 arquivos · 17,7 KB · inclui 3 scripts que executam: scripts/agent_orchestrator.py, scripts/prompt_optimizer.py, scripts/rag_evaluator.py

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/senior-prompt-engineer/.

d=".claude/skills/senior-prompt-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-prompt-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/agentic_system_design.md" "$u/references/agentic_system_design.md" \
  -o "$d/references/llm_evaluation_frameworks.md" "$u/references/llm_evaluation_frameworks.md" \
  -o "$d/references/prompt_engineering_patterns.md" "$u/references/prompt_engineering_patterns.md" \
  -o "$d/scripts/agent_orchestrator.py" "$u/scripts/agent_orchestrator.py" \
  -o "$d/scripts/prompt_optimizer.py" "$u/scripts/prompt_optimizer.py" \
  -o "$d/scripts/rag_evaluator.py" "$u/scripts/rag_evaluator.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/skills/senior-prompt-engineer/.

d="$HOME/.claude/skills/senior-prompt-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-prompt-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/agentic_system_design.md" "$u/references/agentic_system_design.md" \
  -o "$d/references/llm_evaluation_frameworks.md" "$u/references/llm_evaluation_frameworks.md" \
  -o "$d/references/prompt_engineering_patterns.md" "$u/references/prompt_engineering_patterns.md" \
  -o "$d/scripts/agent_orchestrator.py" "$u/scripts/agent_orchestrator.py" \
  -o "$d/scripts/prompt_optimizer.py" "$u/scripts/prompt_optimizer.py" \
  -o "$d/scripts/rag_evaluator.py" "$u/scripts/rag_evaluator.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: instala em .agents/skills/senior-prompt-engineer/.

d=".agents/skills/senior-prompt-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-prompt-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/agentic_system_design.md" "$u/references/agentic_system_design.md" \
  -o "$d/references/llm_evaluation_frameworks.md" "$u/references/llm_evaluation_frameworks.md" \
  -o "$d/references/prompt_engineering_patterns.md" "$u/references/prompt_engineering_patterns.md" \
  -o "$d/scripts/agent_orchestrator.py" "$u/scripts/agent_orchestrator.py" \
  -o "$d/scripts/prompt_optimizer.py" "$u/scripts/prompt_optimizer.py" \
  -o "$d/scripts/rag_evaluator.py" "$u/scripts/rag_evaluator.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.agents/skills/senior-prompt-engineer/.

d="$HOME/.agents/skills/senior-prompt-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-prompt-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/agentic_system_design.md" "$u/references/agentic_system_design.md" \
  -o "$d/references/llm_evaluation_frameworks.md" "$u/references/llm_evaluation_frameworks.md" \
  -o "$d/references/prompt_engineering_patterns.md" "$u/references/prompt_engineering_patterns.md" \
  -o "$d/scripts/agent_orchestrator.py" "$u/scripts/agent_orchestrator.py" \
  -o "$d/scripts/prompt_optimizer.py" "$u/scripts/prompt_optimizer.py" \
  -o "$d/scripts/rag_evaluator.py" "$u/scripts/rag_evaluator.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Antigravity

Neste projeto: instala em .agents/skills/senior-prompt-engineer/.

d=".agents/skills/senior-prompt-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-prompt-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/agentic_system_design.md" "$u/references/agentic_system_design.md" \
  -o "$d/references/llm_evaluation_frameworks.md" "$u/references/llm_evaluation_frameworks.md" \
  -o "$d/references/prompt_engineering_patterns.md" "$u/references/prompt_engineering_patterns.md" \
  -o "$d/scripts/agent_orchestrator.py" "$u/scripts/agent_orchestrator.py" \
  -o "$d/scripts/prompt_optimizer.py" "$u/scripts/prompt_optimizer.py" \
  -o "$d/scripts/rag_evaluator.py" "$u/scripts/rag_evaluator.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.gemini/antigravity-cli/skills/senior-prompt-engineer/.

d="$HOME/.gemini/antigravity-cli/skills/senior-prompt-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-prompt-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/agentic_system_design.md" "$u/references/agentic_system_design.md" \
  -o "$d/references/llm_evaluation_frameworks.md" "$u/references/llm_evaluation_frameworks.md" \
  -o "$d/references/prompt_engineering_patterns.md" "$u/references/prompt_engineering_patterns.md" \
  -o "$d/scripts/agent_orchestrator.py" "$u/scripts/agent_orchestrator.py" \
  -o "$d/scripts/prompt_optimizer.py" "$u/scripts/prompt_optimizer.py" \
  -o "$d/scripts/rag_evaluator.py" "$u/scripts/rag_evaluator.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.senior-prompt-engineer

Prévia do SKILL.md

---
name: senior-prompt-engineer
description: World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use w…
---

# Senior Prompt Engineer

World-class senior prompt engineer skill for production-grade AI/ML/Data systems.

## Quick Start

### Main Capabilities

```bash
# Core Tool 1
python scripts/prompt_optimizer.py --input data/ --output results/

# Core Tool 2  
python scripts/rag_evaluator.py --target project/ --analyze

# Core Tool 3
python scripts/agent_orchestrator.py --config config.yaml --deploy
```

## Core Expertise

This skill covers world-class capabilities in:

- Advanced production patterns and architectures
- Scalable system design and implementation
- Performance optimization at scale
- MLOps and DataOps best practices
- Real-time processing and inference
- Distributed computing frameworks
- Model deployment and monitoring
- Security and compliance
- Cost optimization
- Team leadership and mentoring

## Tech Stack
…

Ver todo o marketplace