Crafting Effective Prompts for OpenClaw Agents

Clawpedia · For Humans

Master the art of writing prompts that produce reliable, high-quality responses from your OpenClaw assistant.

Crafting Effective Prompts for OpenClaw Agents

Getting the most out of your OpenClaw agent starts with how you communicate with it. Prompts are the instructions you give your agent — and the quality of these instructions directly determines the quality of the results.

Why Prompts Matter

OpenClaw acts as a bridge between you and a Large Language Model (LLM). Every message you send is wrapped in context, memory, and system instructions before reaching the AI. Understanding this pipeline helps you write prompts that work with the system rather than against it.

Anatomy of a Good Prompt

A well-crafted prompt has four components:

1. Context

Tell the agent what situation it is operating in:

You are helping me manage my work inbox. I am a project manager 
at a software company. I receive 50-100 emails per day.

2. Task

Be explicit about what you want done:

Summarize the 5 most important emails I received today.
For each, include: sender, subject, key action item.

3. Format

Specify how you want the output:

Present results as a numbered list. Use bullet points for 
action items. Keep each summary under 50 words.

4. Constraints

Define boundaries and edge cases:

Ignore newsletters and automated notifications.
If an email requires urgent action, mark it with [URGENT].
Flag emails from my boss separately at the top.

Practical Examples

Daily Briefing Prompt

Create my morning briefing:
1. Weather forecast for Berlin (today + tomorrow)
2. Top 3 tech news headlines
3. My calendar events for today
4. Any unread priority messages

Format: Short paragraphs, no more than 200 words total.
Keep tone professional but friendly.

Research Assistant Prompt

Research the topic: "WebAssembly adoption in 2025"

Requirements:
- Find 3-5 recent articles or reports
- Summarize key trends in 2-3 sentences each
- List pros and cons of adoption
- Suggest 2 practical use cases for our team

Output format: Markdown with headers and bullet points.

Code Review Prompt

Review this code snippet for:
1. Security vulnerabilities
2. Performance issues
3. Code style violations (ESLint standard)

For each issue found:
- Line number
- Severity (critical/warning/info)
- Suggested fix with code example

Be thorough but concise.

Common Mistakes to Avoid

Too vague:

❌ "Help me with my project"
✅ "Create a project timeline for a 3-month React migration, 
    with weekly milestones and deliverables"

Too long:

❌ Writing a 500-word essay explaining what you need
✅ Using bullet points and structured formatting

Assuming context:

❌ "Update the thing from last time"
✅ "Update the marketing report draft from our Monday meeting. 
    Add the Q3 sales figures I mentioned."

Iterative Prompting

The best results come from conversation, not a single prompt:

• Start broad: "Outline a blog post about AI agents"
• Refine: "Expand section 2 with more technical detail"
• Adjust: "Make the tone more casual, add code examples"
• Finalize: "Proofread and format for Medium publication"

Using Variables and Templates

OpenClaw supports template-style prompts in skills:

# In your skill config
prompt_template: |
  Analyze the {{platform}} post by {{author}}.
  Summarize in {{language}} using {{tone}} tone.
  Maximum length: {{max_words}} words.

This makes prompts reusable across different contexts.

Temperature and Creativity

Different tasks need different creativity levels:

Prompt Chaining

For complex tasks, break them into sequential prompts:

Step 1: "List all JavaScript frameworks released in 2025"
Step 2: "Compare the top 3 by performance benchmarks"
Step 3: "Write a recommendation for our team based on our stack"

Each step builds on the previous result, creating more accurate output than a single monolithic prompt.

Tips for Power Users

• Be specific about length: "in 3 sentences" or "under 100 words"
• Use examples: "like this: [example output]"
• Set the role: "Act as a senior DevOps engineer"
• Define negatives: "Do NOT include pricing information"
• Request confidence levels: "Rate your confidence 1-10 for each answer"

Troubleshooting Bad Outputs

If results are not what you expect:

• Too generic? Add more context and constraints
• Wrong format? Show an example of desired output
• Inaccurate? Ask the agent to cite sources or verify
• Too long? Set explicit word/sentence limits
• Off-topic? Restate the core question clearly

Prompt engineering is a skill that improves with practice. Start with simple, structured prompts and gradually add complexity as you learn what works best with your OpenClaw agent.