Agent skill · Design & Presentation

agent-prompt-behavior

Design agent system prompts with explicit behavior rules and cognitive control. This skill should be used when users need to define agent instructions, create intent-to-tool mappings, establish confirmation policies, or prevent hallucinated actions in AI agents.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill agent-prompt-behavior-hasnaincodehub-todo-evaluation-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/ai-llm/agent-prompt-behavior-hasnaincodehub-todo-evaluation-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Agent Prompt & Behavior Build system prompts that provide deterministic cognitive control over AI agents. ## What This Skill Does - Design agent system instructions with explicit behavior rules - Create intent-to-tool mapping tables (what user says → what agent does) - Define confirmation policies (when to ask before acting) - Establish error handling behaviors - Prevent hallucinated actions through grounding rules - Generate complete, production-ready system prompts ## What This Skill Does NOT Do - Implement the agent runtime/executor - Handle conversation state management - Define API contracts or schemas - Deploy or test agents --- ## Before Implementation Gather context to ensure successful implementation: | Source | Gather | |--------|--------| | **Codebase** | Available tools, existing prompts, agent framework | | **Conversation** | Agent's purpose, domain, user types | | **Skill References** | Prompt patterns, mapping rules, safety policies | | **User Guidelines** | Tone, brand voice, compliance requirements | --- ## Core Principle: Cognitive Control **The system prompt is the agent's brain.** It determines: ``` ┌────────────────────────────────────────────────────────────

What's inside
Steps it walks through
  1. What This Skill Does
  2. What This Skill Does NOT Do
  3. Before Implementation
  4. Core Principle: Cognitive Control
  5. Required Clarifications
  6. 1. Agent Identity
  7. 2. Available Tools
  8. 3. Safety Requirements
  9. 4. Error Policy
  10. System Prompt Architecture
  11. Intent-to-Tool Mapping
  12. Mapping Table Format
  13. Mapping Rules
  14. Confirmation Policy
Ships with 1 file
  • metadata.json
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About this skill
What does the agent-prompt-behavior skill do?

Design agent system prompts with explicit behavior rules and cognitive control. This skill should be used when users need to define agent instructions, create intent-to-tool mappings, establish confirmation policies, or prevent hallucinated actions in AI agents.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill agent-prompt-behavior-hasnaincodehub-todo-evaluation-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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