Checked skills

This Skill ensures consistent writing by applying a specified style guide, boosting clarity and professionalism across all generated content.

This skill automatically checks your code against a defined style guide, ensuring consistency and readability for improved maintainability.

Every Style Editor 2 by ratacat refines your writing's tone and voice across various styles, boosting clarity & impact.

Generates concise, witty writing mimicking *The New Yorker*'s distinctive style – perfect for adding a sophisticated touch to your content.

Analyze a codebase to extract its conventions, patterns, and style. Spawns specialized analyzer agents that each focus on one aspect (structure, naming, patterns, testing, frontend). Generates a comprehensive style guide that other skills can reference. Use when starting work on an unfamiliar codebase, or to create explicit documentation of implicit conventions.

Adapts text to specified writing styles like formal, casual, persuasive, or technical, enhancing clarity and tone.

Generates concise, descriptive Git commit messages following conventional style guidelines for improved project history.

Markdownlint automatically checks your Markdown for style errors, ensuring clean formatting and readability – a vital tool for collaborative documentation.

Automates pole data validation and linting against industry standards, ensuring accuracy and compliance.

Galaxy Linting analyzes code for potential issues within a galactic-scale codebase, boosting development efficiency and quality.

Perl Lint analyzes your Perl code for potential errors and style issues, boosting code quality and maintainability.

Markdownlint analyzes your Markdown for style issues, ensuring clean formatting and readability – a vital tool for consistent documentation.

Analyzes text data for logical consistency, factual accuracy, and adherence to defined intelligence guidelines.

Lint analyzes your text for potential issues like style inconsistencies and unclear phrasing, improving readability and reducing errors.

Automatically generates detailed, structured audit trails of agent actions and decisions for transparency and debugging.

This Traceability Auditor verifies data lineage and compliance records, ensuring accurate tracking & mitigating risks in complex supply chains.

Analyzes martech stacks, identifies inefficiencies, and suggests optimization strategies based on industry best practices.

Ensures design elements across digital assets maintain brand consistency using automated analysis and reporting from dodatech.

Analyzes PIP data to identify potential risks & inefficiencies using bandit algorithms, optimizing pipeline performance.

Helps with security, auditing as part of implementing security and authentication workflows.

Analyzes text for subtle biases, inconsistencies, and stylistic quirks characteristic of questnova502's writing style.

Identifies subtle performance declines in systems over time, revealing hidden degradation risks before major failures occur.

Analyzes Claude plugin interactions to identify potential security risks, data privacy concerns, and unexpected behavior.

Analyzes AI systems for potential safety risks, biases, and ethical concerns using jmsktm's proprietary methodology.

Analyzes project dependencies, identifies outdated packages, and flags potential conflicts using a comprehensive audit process.