prompt-engineer
by PromptSpace
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
- Construct robust few-shot templates to ensure consistent output formatting
- Implement chain-of-thought patterns to improve complex reasoning accuracy
- Apply defensive prompting techniques to mitigate jailbreaks and injections
Free
One-time purchase
Included in download
- Downloadable skill package
- Works with OpenClaw, Cursor
- Instant install
See it in action
{
"role": "Go Developer",
"reasoning_chain": "1. Analyze HTTP handler... 2. Identify missing error check... 3. Propose fix.",
"status": "success",
"payload": "func(w http.ResponseWriter, r *http.Request) { ... }"
}prompt-engineer
by PromptSpace
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
Free
One-time purchase
⚡ Skill ready to install in Claude Code, Gemini CLI, or any MCP-compatible client. Read the install guides →
Included in download
- Downloadable skill package
- Works with OpenClaw, Cursor
- Instant install
See it in action
{
"role": "Go Developer",
"reasoning_chain": "1. Analyze HTTP handler... 2. Identify missing error check... 3. Propose fix.",
"status": "success",
"payload": "func(w http.ResponseWriter, r *http.Request) { ... }"
}About This Skill
Master the Art of Prompt Engineering
Building high-performance LLM applications requires more than just basic instructions. This skill equips your AI agent with a sophisticated framework for designing, debugging, and optimizing prompts across any major model provider. It solves the common problems of model drift, parsing failures, and hallucination by implementing industry-standard engineering patterns.
What it does
- Architectural Design: Implements advanced system prompt structures, including role anchoring, constraint blocks, and persona tuning.
- Precision Control: Utilizes few-shot prompting and chain-of-thought (CoT) reasoning to ensure logical consistency and format compliance.
- Agentic Workflows: Supports complex patterns like ReAct (Reasoning + Acting), Plan-and-Execute, and reflection loops for autonomous task completion.
- Reliable Outputs: Enforces structured data (JSON/XML) and implements robust defense mechanisms against prompt injection and jailbreaking.
- Context Management: Provides strategies for RAG (Retrieval-Augmented Generation), token budgeting, and conversation summarization.
Technical Compatibility
This skill is framework-agnostic and designed for developers working with OpenClaw, Python, and Go. It is optimized for high-reasoning models (GPT-4, Claude 3, Gemini Pro) and provides specific guidance for multimodal (image) prompting and tool-use orchestration.
High-Quality Outputs
Expect deterministic results: valid JSON objects ready for backend consumption, structured Markdown reports, and explainable reasoning chains that make debugging AI behavior straightforward for your development team.
Use Cases
- Construct robust few-shot templates to ensure consistent output formatting
- Implement chain-of-thought patterns to improve complex reasoning accuracy
- Apply defensive prompting techniques to mitigate jailbreaks and injections
- Optimize context window usage to reduce latency and token consumption
- Standardize JSON schemas for reliable automated data extraction
Known Limitations
- Performance varies by model version (best on GPT-4/Claude 3.5).
- Does not automatically guarantee 100% JSON validity without parser retries.
- Token overhead increases with few-shot examples.
How to Install
mkdir -p ~/.claude/skills/prompt-engineer && curl -s -X POST 'https://api.promptspace.in/api/skills/prompt-engineer/install' | python3 -c "import sys,json; sys.stdout.write(json.load(sys.stdin).get('installInstructions') or '')" > ~/.claude/skills/prompt-engineer/SKILL.mdFree skills install directly. Paid skills require purchase - use the download button above after buying.
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OpenClaw, Cursor, Claude Code, Codex CLI
Creator
PromptSpace
We build AI agent skill packages for content creators. Specializing in Chinese social media automation.