master-skill-reviewReview an OpenClaw skill for token efficiency, scriptability, and clean action boundaries; back up first, then improve the skill.
Install via ClawdBot CLI:
clawdbot install kid0114/master-skill-reviewGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Aug 8, 2026
A developer creating OpenClaw skills uses this meta-skill to review and improve their custom skills, ensuring they are token-efficient and well-structured. This leads to more reliable and maintainable agent behaviors.
An AI operations team in an enterprise applies this skill to audit and standardize all internal AI agent skills, ensuring consistent quality, proper backup procedures, and clear action boundaries across the organization.
As part of a CI/CD pipeline for AI agent deployment, this skill is triggered automatically to validate and refactor any new or updated skill before release, preventing regressions and inefficiencies.
A freelance AI consultant uses this skill to quickly review and optimize client skills, providing a value-added service to improve performance and reduce token costs, while ensuring safe modifications with backups.
A platform that integrates this skill as a cloud service, allowing teams to review and optimize their AI agent skills via an API or interface, with analytics and reporting.
Provide expert consulting to optimize AI agent skills for clients, using this skill to accelerate and standardize the review process, delivering measurable improvements in token usage and efficiency.
Offer ongoing maintenance and optimization of AI agent skills for enterprises, with guaranteed backup and regular improvement cycles, ensuring skills remain efficient as requirements evolve.
💬 Integration Tip
Integrate this skill into your CI/CD pipeline to automatically review and refactor skills before deployment, ensuring quality and token efficiency from the start.
Scored Aug 8, 2026
Control desktop applications on Windows — launch, close, focus, resize, move windows, simulate keyboard/mouse input, manage processes, control VSCode, read clipboard, and capture screen info. Use when the user wants to interact with any running program, switch windows, type text, press shortcuts, open files in VSCode, manage running processes, or get system display information.
Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
Pragmatic coding standards for writing clean, maintainable code — naming, functions, structure, anti-patterns, and pre-edit safety checks. Use when writing new code, refactoring existing code, reviewing code quality, or establishing coding standards.
Claude Code integration for OpenClaw. This skill provides interfaces to: - Query Claude Code documentation from https://code.claude.com/docs - Manage subagents and coding tasks - Execute AI-assisted coding workflows - Access best practices and common workflows Use this skill when users want to: - Get help with coding tasks - Query Claude Code documentation - Manage AI-assisted development workflows - Execute complex programming tasks
Plan, draft, version, and refine written content with enforced versioning and quality audits.