Skills Creator Tool for OpenClaw Helps Developers Package Workflows

A developer has created a skill called skills-creator that helps users create effective skills for OpenClaw. The tool addresses common problems developers encounter when building skills, such as vague descriptions that prevent triggering and SKILL.md files that read like documentation rather than actionable instructions.
Installation and Usage
Install from ClawHub using: clawhub install jau123/skills-creator
Alternatively, download the zip file, extract it locally, and ask OpenClaw to install it, or send the link to your lobster. Once installed, simply say "help me create a skill" to begin the guided process.
What Makes a Good Skill
- Fixed workflows — Tasks with consistent steps every time (e.g., "translate, then format, then publish")
- Domain knowledge the model doesn't have — Internal API formats, company naming conventions, business-specific rules not in training data
- Things you keep correcting the model on — If you repeatedly say "no, not like that, like THIS," that's a signal to create a skill
- Fixed patterns for calling external tools/APIs — Using scripts/ to teach the model about specific endpoints like internal image generation services or database queries
- Standards that need consistency — Document structure, code style, design specs shared across teams
What Doesn't Make a Good Skill
- One-off tasks — just let the model handle them
- Tasks dependent on real-time context — like "decide what to do next based on current project state"
- Things the model already does well — writing code, explaining code, debugging (unless company-specific constraints apply)
Iteration and Best Practices
Skill creation isn't one-and-done. Leave room for failure cases and add typical examples as you use the skill, but avoid excessive context length as it can hurt performance.
How It Differs from Claude Code's Skill-Creator
Claude Code's built-in skill-creator is test-driven, focusing on evals, triggering accuracy, and performance benchmarks for the Claude Code ecosystem. This skills-creator is design-driven for the OpenClaw ecosystem, emphasizing proper structure and description first. It provides:
- A description writing formula
- A 24-point quality checklist
- Complexity tiers (Simple/Medium/Complex)
- An 8-step retrofit process to upgrade existing messy skills to best practices
📖 Read the full source: r/clawdbot
👀 See Also

Mengram AI: Auto-Memory Tool for Claude Code Sessions
Mengram AI automatically maintains context between Claude Code sessions by loading cognitive profiles, injecting relevant past context into prompts, and saving new knowledge. It stores semantic, episodic, and procedural memory that evolves based on failures.
Building a Jarvis-Style AI with MCP and Open Models
A developer built a personal AI assistant using MCP and open models like Qwen3-Coder 480B, with autonomous file editing, persistent context, and hybrid local/cloud inference.

Claude Desktop App Adds Projects Feature to Cowork Interface
The Claude desktop app now includes a Projects feature in Cowork, allowing users to organize tasks and context in dedicated workspaces. Files and instructions remain on the user's local computer, with options to import existing projects or start new ones.

vllm-mlx fork adds tool calling and prompt cache for local AI coding agents
A developer has modified vllm-mlx to fix tool calling issues and add prompt caching, reducing TTFT from 28s to 0.3s for OpenClaw on Apple Silicon. The fork supports Qwen3-Coder-Next at 65 tok/s on M3 Ultra with working function calling.