Skill UI

A comprehensive development workflow solution for integrating with the Glean enterprise search API. It enables developers to simulate local search responses, mock data sources, and test custom connectors and UIs without needing a live Glean deployment. Users can toggle between mock mode for rapid iteration and sandbox mode for validation against a real Glean instance, ensuring a fast feedback loop for building robust enterprise search applications.

This skill provides integration with Grammarly's Writing Score API, enabling applications to automatically score documents. It evaluates writing quality across four dimensions: engagement, correctness, clarity, and tone. Use this when building content quality assurance features, implementing quality gates, or providing detailed, multi-dimensional feedback on written content.

This skill simulates an external patent examiner to critically review patent applications. It analyzes claims and specifications for clarity, novelty, and non-obviousness. The process involves generating formal office actions, suggesting specific amendments, and iterating through multiple review rounds to improve patentability scores. It uses advanced reasoning models to provide rigorous feedback on patent claims and specification quality.

This guide covers advanced retrieval strategies that significantly boost search quality beyond basic vector similarity search. Techniques include Hybrid Search (combining dense and sparse indexing), Reranking (improving result order), Relevance Feedback (guiding search with iterative user scores), and Maximal Marginal Relevance (MMR) for diversity. Use these methods when standard search results lack relevance, miss critical keywords, or exhibit poor precision.

A systematic, multi-phase guide for tackling hard bugs and performance regressions. It mandates building a robust feedback loop (e.g., failing tests, harnesses), formulating falsifiable hypotheses, targeted instrumentation, and rigorous regression testing. This methodology ensures that debugging efforts are structured, efficient, and highly reproducible, making it ideal for complex software defects.

Drafts self-assessments, peer reviews, and upward feedback using WorkIQ evidence from emails, meetings, and contributions. It helps you write honest, impact-focused performance reviews in your own voice with STAR-based structure.

Orchestrate a text-only resubmission of a polished paper to a different venue under hard constraints: no new experiments, no bibliography edits, no framework changes. Absorbs prior reviewer feedback while preserving the original submission directory. Ideal for tight time budgets and immutable prior submissions.

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.

StyleSeed is a comprehensive design judgment engine designed to elevate the aesthetic quality of AI-generated user interfaces. It codifies 69 visual rules covering color discipline, spatial rhythm, information hierarchy, and motion feedback. By integrating these principles, developers can ensure that AI output looks professionally designed and polished, rather than simply generated. Includes React components, Tailwind CSS implementation, and actionable design guidelines.

This skill captures and persists critical user decisions, project constraints, and architectural choices across multiple sessions and agents. It saves this context into a structured memory database (`mdbase`), ensuring that future development steps or agents can retrieve the original intent without re-deriving it from scratch. Ideal for documenting project rules, tech stacks, and design rationale.

A comprehensive, AI-powered suite designed to generate high-quality, platform-optimized content for LinkedIn. It creates full posts, multi-slide carousels, long-form newsletters, and 30-day content calendars. The tool integrates niche-specific SEO rules and features a reinforcement-learning memory system, ensuring that your content style and performance improve with every piece of feedback.