Skill UI

This skill executes implementation plans by assigning a dedicated sub-agent to each independent task. It ensures quality through task-specific reviews and a final branch review. It emphasizes continuous execution, autonomous decision-making, and isolated contexts to prevent context pollution, suitable for structured software development workflows.

This skill enforces output quality and evidence verification across security audits like SAST, SCA, and code reviews. It prevents suppression of valid findings and ensures reports meet quality thresholds before delivery. Includes components for self-critique, anti-rationalization, and continuous learning to maintain intellectual honesty and accuracy in security analysis workflows.

Generate a cohesive three-panel social media carousel (1080x1080), designed for cinematic storytelling. Perfect for creating multi-part, on-brand content series for platforms like Instagram, LinkedIn, or X. The skill ensures the panels read as one continuous narrative while maintaining individual visual appeal.

Wraps any existing HTML artifact (landing page, dashboard, etc.) with a live sidebar panel of controls. This panel allows users to instantly adjust design variables—such as accent color, typography scale, layout density, and dark mode—by rewriting CSS custom properties in real time. All changes are persisted via localStorage, enabling continuous exploration and variant testing without losing state.

This alias serves as a dedicated CLI command for Codex, simulating the core functionality of the Claude Code `/pua:on` command. It enables 'PUA always-on mode' by managing the `~/.pua/config.json` file. This utility is essential for maintaining continuous operational readiness and managing coding assistant feedback cycles.

This CLI alias acts as a dedicated command to disable the PUA always-on mode feature, typically used within AI coding environments like Claude Code. By modifying the user's configuration file (`~/.pua/config.json`), it sets `always_on=false` and `feedback_frequency=0`. This function provides users with granular control, effectively turning off continuous monitoring or background feedback mechanisms managed by the AI assistant.

This tool simulates the rigorous interrogation of a SOC 2 Type II auditor. It forces readiness checks across six critical domains—including scope definition, control consistency, change management, exception tracking, and evidence timing—at key audit milestones (pre-observation, mid-period, pre-field-test). Essential for maintaining continuous compliance.

Manages the deployment of local applications and websites to the Vercel platform. This skill intelligently detects the project's current state (e.g., if it is already linked or if git is available) and guides the user through the optimal deployment method. It prioritizes establishing a permanent git-push connection to facilitate a seamless Continuous Integration/Continuous Deployment (CI/CD) workflow. Use when the user explicitly requests deployment actions.

This skill automates the debugging and fixing of failing Continuous Integration (CI) checks on GitHub PRs. It uses the GitHub CLI (gh) to locate failures, fetch detailed logs from GitHub Actions, summarize the failure context, and propose a structured fix plan. After user approval, it can implement the necessary code changes and verify the fix, streamlining the development cycle.

This meta-skill acts as a watchdog for long-running processes, such as CI image builds or overnight model fine-tunes. It utilizes a sub-agent to continuously monitor the output via tmux, automatically diagnose failures, propose corrective fixes, and persist the entire resolution process to memory. It is designed for robust, automated debugging of complex system tasks.

This skill automates the transformation of high-level product specifications (PRDs) or feature specs stored in Notion into an actionable development lifecycle. It systematically parses requirements, generates structured implementation plans, breaks down complex needs into manageable, linked tasks, and facilitates continuous progress tracking, ensuring all development artifacts remain synchronized with the original spec.

Use the Composio CLI to automate the entire Pull Request review and Continuous Integration (CI) triage process for GitHub and GitLab. This tool fetches code diffs, analyzes failure logs, posts detailed inline review comments, and iteratively patches and re-runs CI checks until the code passes, significantly enhancing code quality and developer efficiency.