Skill UI

A comprehensive guide and skill for building robust, production-ready REST API endpoints. This skill covers full lifecycle development, including input validation, centralized error handling, authentication/authorization checks, CRUD operations, pagination, and generating proper API documentation. It ensures that back-end services are secure, scalable, and adhere to industry best practices.

This skill enforces a strict, opinionated baseline for UI development in Tailwind CSS projects. It ensures adherence to best practices concerning accessibility (ARIA), motion, typography, and layout structure. Use it when building complex UI components, reviewing CSS utilities, or preventing sloppy, generic interface design, especially when mitigating potential issues from AI-generated code.

This skill enforces Sentry's rigorous blog writing standards, ensuring all content—from deep technical dives to product announcements—reads like it was written by a senior developer. It guides users on adopting a specific, opinionated, and technically credible voice, structuring posts around problem-solving, and avoiding generic corporate jargon.

Analyzes a code repository to generate a recommended, minimal set of read-only shell command permissions for Claude Code's settings.json. It automatically detects the project's tech stack (e.g., Python, Node.js, Go), build tools, and monorepo structure, ensuring a safe and evidence-based security baseline for new projects or auditing existing permissions.

This skill is an expert guide for writing, building, and optimizing B2B cold email sequences and first-touch outreach emails. It teaches users how to craft messages that sound genuinely human and thoughtful, moving far beyond generic sales pitch copy. It provides structured methods for personalization, planning multi-step follow-up cadences, and adjusting tone based on the recipient's seniority (e.g., C-suite vs. Manager) to maximize reply rates for unsolicited business outreach.

Transforms AI-generated content that sounds generic, robotic, or overly structured into compelling writing with genuine human personality and brand voice. This skill goes beyond simple cleanup, rebuilding the narrative from the foundational voice up. Use it when content lacks specific opinions, uses excessive clichés, or feels like it was written by a machine, ensuring the final output resonates as authentically human.

This tool guides users through developing a comprehensive content strategy designed to drive organic traffic, build topical authority, and generate qualified leads. It helps define core content pillars, map out topic clusters, and identify high-potential topics by analyzing business goals, customer pain points, and competitive gaps. It ensures content creation is searchable, shareable, and directly aligned with product marketing objectives.

Analyzes test coverage gaps by cataloging routes, components, APIs, and existing specs, then builds a coverage matrix, prioritizes missing areas, and recommends follow-up plans or auto-generation for missing tests.

This skill helps users create a new Git branch that strictly adheres to established project naming conventions (e.g., Sentry standards). It automatically determines the appropriate branch type (such as `feat`, `fix`, `chore`, etc.) and generates a descriptive, standardized branch name by analyzing the provided work description or local code differences (diff). It guides the entire branching workflow, ensuring proper lineage and classification for code submissions.

This skill automates the creation of isolated, pre-configured development containers (devcontainers). It scans the project structure to detect supported languages (Python, Node.js, Rust, Go) and intelligently generates the necessary configuration files, VS Code extensions, and setup scripts. It ensures all required tools are installed in a sandboxed environment, making it ideal for starting new multi-language projects or needing consistent, reproducible development workspaces.

A rigorous, security-focused code review process designed for Pull Requests (PRs), commits, and diffs. It moves beyond general reviews by focusing intensely on high-risk areas such as authentication, cryptography, external calls, and value transfer. The methodology is evidence-based, requiring detailed attack scenario modeling and generating comprehensive, auditable markdown reports to identify overlooked vulnerabilities and regressions.

This skill provides deep technical expertise regarding the DWARF debugging format (v3-v5) and the DWARF standard. It assists in analyzing, parsing, verifying, and generating debug information from compiled binaries. Use cases include answering questions about the DWARF specification, writing code that interacts with DWARF data, and utilizing tools like `dwarfdump` or `readelf` for structural validation and quality metric extraction.