Skill UI

Creates a git branch with a Sentry-style type prefix and descriptive name, classifying work as feat, fix, docs, chore, or other types while preserving local changes.

Use the DBX CLI to inspect DBX-managed database connections, explore schemas, run bounded read-only queries, generate DBML or schema docs, and open tables in DBX Desktop. Includes strict safety gates for writes and DDL.

SEO strategy for technical queries and developer audiences, covering keyword research, error message SEO, Stack Overflow-style content, technical long-tail keywords, and competing with official docs.

This skill creates comprehensive technical documentation from existing codebases by analyzing architecture, design patterns, and implementation details. It produces long-form technical manuals and ebooks that explain system boundaries, key components, and interactions. The output includes design rationale, data models, and deployment considerations, suitable for onboarding new team members, architectural reviews, and long-term maintenance of complex software systems.

Transform developer documentation into a marketing channel that attracts, converts, and retains users through strong information architecture, optimized quickstarts, and effective API references.

Generates structured technical deliverables including reverse-engineering, penetration testing, and CTF reports with evidence-backed structure. Supports multiple templates for malware, APT, and vulnerability analysis, integrating Mermaid diagrams for visualization.

This skill reviews generated or changed documentation before release, verifying claims against actual source code. It ensures API references, docstrings, and code samples are accurate, runnable, and versioned correctly. It prevents hallucinated APIs and outdated information from shipping.

This skill specializes in creating comprehensive and maintainable documentation directly from codebases. It generates API docs, architecture diagrams, user guides, and technical references using AI-powered analysis. Ideal for building documentation pipelines, standardizing documentation across repositories, and ensuring living documentation stays synchronized with code changes while adhering to industry best practices.

Maintain durable feature-level memory across AI coding sessions using lightweight Markdown tracks. It organizes status, source-of-truth docs, decisions, risks, and changes for long-lived features. Helps AI agents resume work accurately without relying on chat history. Ideal for repositories needing structured project memory without reorganizing all documentation.

Read and edit Google Docs through an available authenticated connector or reviewed API integration, with scoped changes and read-back verification. This skill provides instructions for safe document operations, including reading structure, applying targeted edits, and verifying results. It emphasizes authorization, revision preconditions, and avoiding duplicate inserts. Suitable for users who need to automate document content updates while maintaining data integrity and security.

Convert Hugo documentation sites and Hugo-managed content into standard Markdown by inspecting local Hugo config, shortcodes, render hooks, and content conventions. Useful for migrating, archiving, or integrating Hugo docs into Markdown workflows.

Methodology for hunting open redirect flaws in web apps: parameter discovery, bypass payloads, DOM-based sinks, OAuth auth-code theft chains and SSRF escalation. Docs-only, for authorized bug bounty and pentest use.