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skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Why use this skill?

Learn how to build modular, efficient AI agent skills for OpenClaw. This guide covers best practices for creating specialized workflows, system prompts, and tool integrations.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/jash2368-collab/pro
Or

What This Skill Does

The skill-creator is a specialized architectural framework designed to transform Claude from a general-purpose language model into a task-specific agent. By creating a modular skill, you provide Claude with the necessary guardrails, domain-specific logic, and procedural workflows that enable it to perform complex operations with high consistency. This skill acts as a blueprint generator for your custom agents, ensuring they follow core principles like token efficiency, appropriate degrees of freedom, and structured implementation.

Installation

To integrate this skill into your environment, use the following command: clawhub install openclaw/skills/skills/jash2368-collab/pro Source Repository: openclaw/skills Author: jash2368-collab

Use Cases

  • Onboarding for domain-specific tasks where consistency is paramount.
  • Building complex multi-step workflows that require custom script execution.
  • Packaging internal company knowledge, schemas, and proprietary business logic.
  • Standardizing interactions with external APIs by creating specific tool-use guardrails.
  • Developing agents that need to handle repetitive document processing or code generation tasks.

Example Prompts

  1. "I need to build a skill for our internal team that handles Jira ticket triaging. Can you help me structure the SKILL.md to ensure it follows the correct incident reporting schema?"
  2. "I am building a data analysis agent. Help me determine the right degree of freedom for the analysis steps; how do I balance flexibility with consistency?"
  3. "Refactor my existing documentation for a Python code generator into the OpenClaw skill format, ensuring it is token-efficient and properly modularized."

Tips & Limitations

  • Token Economy: Always assume Claude is intelligent. Do not overload the system prompt with basics. Focus your documentation on the 'missing' knowledge that the model cannot infer.
  • Structural Integrity: Ensure your SKILL.md uses the YAML frontmatter correctly. If you include scripts, keep them in the scripts/ directory to maintain file structure cleanliness.
  • Freedom Settings: Assess your workflow's fragility. If the process is highly technical (e.g., security patches), force 'Low Freedom' by providing specific, non-negotiable scripts. For creative tasks, use 'High Freedom' to let Claude leverage its generative strengths.
  • Testing: Always iterate on your skill by testing it against edge cases to ensure the procedural instructions provided in the markdown are not interpreted as ambiguous guidance.

Metadata

Stars1947
Views1
Updated2026-03-04
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-jash2368-collab-pro": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#agent-development#automation#workflow-design#productivity#prompt-engineering
Safety Score: 5/5

Flags: file-read, file-write