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
Libretto: Deterministic Browser Automation Generation for AI Coding Agents
Libretto is a Skill+CLI toolkit that enables AI coding agents to generate deterministic browser automation scripts as actual code, moving away from runtime AI agents. It combines Playwright UI automation with direct network/API requests for reliability and includes step-through debugging and read-only modes.
Open-source framework for persistent AI agent memory with local storage and graph-based retrieval
A developer has been building an open-source framework for persistent AI agent memory that stores data locally as Markdown files, uses wiki-links as graph edges, and implements Git for version control. The system features four-signal retrieval and graph-aware forgetting based on ACT-R cognitive science.
PocketBot: A Local AI Autopilot for iOS Using App Intents and On-Device Inference
PocketBot is an iOS app that runs a quantized 3B Llama model locally on iPhone's Neural Engine via Metal, using Apple's AppIntents and CoreLocation frameworks to create event-driven automations without cloud data transmission.
RunAnywhere RCLI: On-Device Voice AI Pipeline for Apple Silicon
RunAnywhere has released RCLI, an open-source voice AI pipeline for macOS that runs STT, LLM, and TTS entirely on Apple Silicon devices. The tool uses their proprietary MetalRT inference engine and claims significant performance improvements over existing solutions.