agent-prompt-patterns
Battle-tested prompt patterns for production AI agents. Covers consumer-first design, deletion test, cascading validation, advisory mode tiers, proof-of-work enforcement, heartbeat protocol, contradiction detection, WAL protocol, rule escalation ladder, and cross-validation patterns. Use when designing agent behavior, enforcing reliability, or building agent operating manuals.
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@LeoYeAI- language
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May 6, 2026
✦overview.md
Use Cases
- →Designing a new agent's behavioral rules and operating manual
- →An agent is hallucinating completions, skipping steps, or claiming work it didn't do
- →Building multi-agent pipelines where output quality compounds (or collapses)
- →Setting up human-in-the-loop approval tiers for different risk levels
- →Enforcing reliability in automated workflows (cron jobs, scheduled tasks, pipelines)
- →Writing AGENTS.md or operating manuals for production agent workspaces
name
agent-prompt-patterns
description
Battle-tested prompt patterns for production AI agents. Covers consumer-first design, deletion test, cascading validation, advisory mode tiers, proof-of-work enforcement, heartbeat protocol, contradiction detection, WAL protocol, rule escalation ladder, and cross-validation patterns. Use when designing agent behavior, enforcing reliability, or building agent operating manuals.
license
MIT
metadata:{"openclaw":{"emoji":"🎯"}}
Agent Prompt Patterns
Battle-tested patterns for agents that ship, not agents that demo. If your agent works in a live-fire notebook but breaks in production, you have a demo, not an agent.
When to Use
- Designing a new agent's behavioral rules and operating manual
- An agent is hallucinating completions, skipping steps, or claiming work it didn't do
- Building multi-agent pipelines where output quality compounds (or collapses)
- Setting up human-in-the-loop approval tiers for different risk levels
- Enforcing reliability in automated workflows (cron jobs, scheduled tasks, pipelines)
- Writing AGENTS.md or operating manuals for production agent workspaces
- Debugging why an agent keeps violating rules you've already stated
- Evaluating whether an agent should exist at all (deletion test)
- Building harnesses that make autonomy safe and useful
When NOT to Use
- One-shot prompts with no agent persistence — these patterns assume continuity
- Pure chatbot / conversational UX with no action-taking capability
- Academic prompt engineering research — these are production patterns, not benchmarks
$install
1-click copynpx skills add LeoYeAI/openclaw-master-skills --skill agent-prompt-patterns