Skill UI

Generates concise 3-4 page LaTeX/PDF treatment plans across medical specialties, embedding SMART goals, evidence-based interventions, HIPAA-compliant formatting, and mandated AI-generated schematics for quick clinical actionability.

Provides LaTeX templates, formatting rules, and submission guidance covering journals (Nature, Science, PLOS, IEEE, ACM), conferences (NeurIPS, ICML, CVPR, CHI, etc.), posters, and grants so researchers can prepare compliant manuscripts efficiently.

This system generates platform-native content for multiple channels, including X, LinkedIn, YouTube, and newsletters. It operates on a source-first workflow, ensuring that the author's unique voice and core ideas are preserved while adapting the content to the specific formatting and best practices of each target platform.

This protocol defines the structured communication rules for multiple specialized AI agents simulating C-suite roles (e.g., CFO, CTO, CRO). It dictates invocation syntax, response formatting, and enforces strict constraints (such as loop prevention, call depth limits, and isolation rules) to ensure coordinated, non-contradictory, and reliable cross-functional analysis for executive decision-making.

Launches a Rapid Serial Visual Presentation (RSVP) speed reader. This tool displays text one word at a time, using ORP (Optimal Recognition Point) highlighting, which is designed to enhance comprehension and reading pacing. It is ideal for users who need a quick, focused reading aid for large blocks of text, such as prior conversation responses or provided arguments, rather than requiring document summary or formatting transformation.

This skill guides users on setting up automated code quality gates directly at the Git level. It covers best practices using frameworks like Husky, lint-staged, and pre-commit. Users can enforce linting, formatting, type-checking, and standardized commit message conventions (e.g., Conventional Commits) before code is committed or pushed, significantly improving code hygiene and development workflow consistency.

Generates and validates llms.txt files, the emerging standard that tells AI systems how to prioritize and understand a website; crawls content, ranks pages, and enforces formatting so your brand narrative stays consistent.

This skill extracts up to 50 highly relevant, SEO-friendly keywords and tags from any given text. It is designed to identify core topics, domain terminology, and potential search phrases, formatting them into a strict, comma-separated list suitable for metadata generation, tagging, or search engine optimization (SEO). Use it whenever you need to optimize content for search engines.

This skill provides a comprehensive workflow for analyzing malicious software to extract actionable Indicators of Compromise (IOCs). It covers static analysis (PE parsing, hashing, string extraction) and dynamic analysis techniques. Users learn how to identify file hashes, network indicators (C2 IPs, domains), registry modifications, and behavioral artifacts, ultimately formatting the findings into standard STIX 2.1 formats for sharing and incident response.

This skill systematically probes an AI model's core behavioral patterns across six critical dimensions, including reasoning, refusal, formatting, and grounding. It generates a comprehensive, styled HTML report with radar charts and actionable insights, allowing users to understand a model's true capabilities, compare different models, or perform compliance and red-team assessments without needing an external API key.

Turns research ideas into complete grant proposals for KAKENHI, NSF, NSFC, ERC, DFG, SNSF, ARC, NWO, and generic formats. Supports novelty checking, structural design, drafting, simulated peer review, revision, budget planning, timeline development, and agency-specific formatting with multilingual output.

Detects when a skill's frontmatter block lacks its closing delimiter so editors can fix the metadata formatting before parsing fails.