Skill UI

A guide on handling asynchronous operations and event notifications for the Grammarly API. Since Grammarly does not provide native push webhooks, this skill demonstrates techniques for implementing polling mechanisms (e.g., for plagiarism detection) and building a robust event bus to reliably handle streamed results, such as score completion or AI content detection alerts.

Master the complexities of building robust Retrieval Augmented Generation (RAG) pipelines using LangChain. This guide addresses common pitfalls in vector search, such as score semantics differences (L2 vs. Cosine), embedding dimension mismatches, and chunking issues for code/Markdown. Learn best practices for selecting between FAISS, Pinecone, Chroma, and PGVector, normalizing scores, and implementing hybrid keyword+vector search for maximum retrieval quality.

This comprehensive workflow manages the end-to-end life cycle of sales readiness training on the MindTickle platform. Users can create complex courses containing mixed media (videos, documents, quizzes). It allows assigning courses to teams with due dates, tracking learner progress and quiz scores via analytics API, and updating content modules as business needs evolve.

Utilize this workflow to build comprehensive quizzes and competency assessments within MindTickle. It allows users to create detailed question banks, assign timed tests to specific teams, automatically grade submissions, and generate detailed analytics on pass rates, average scores, and knowledge gaps. Ideal for managing sales enablement certifications and tracking representative readiness.

This skill provides comprehensive analysis and improvement suggestions for plugin prompts, skill definitions, and command instructions. It evaluates content across five dimensions—clarity, safety, effectiveness, completeness, and conciseness—providing a detailed score card and concrete, actionable rewrites to ensure compliance and optimal AI performance.

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.

This skill provides comprehensive diagnosis and optimization for agent skill libraries. By analyzing historical session transcripts from platforms like Claude Code and Codex, alongside static skill file checks, it scores each skill across 8 dimensions. It identifies issues such as low trigger rates, poor post-invocation user reaction, and incomplete workflow execution, generating a prioritized report (P0/P1/P2) to significantly improve the agent's overall performance and reliability.

This domain-agnostic skill ranks impediments, risks, and gaps by using a specialized value-stream scoring model. It evaluates countermeasures based on four criteria: Return on Investment (ROI), Cost to Implement, Ease of Deployment, and Risk Factor. A proprietary formula calculates a final Priority score (1-100), allowing users to quickly determine the optimal sequence for remediation, improvement backlogs, or triage items.

This skill assesses the AI readiness of a codebase by running a comprehensive audit against multiple technical and governance pillars. It generates a self-contained, detailed HTML dashboard that provides an overall maturity score, identifies strengths, and, most importantly, delivers a prioritized remediation plan (Fix First / Fix Next). Ideal for auditing repositories before major AI feature development.

Helps SaaS teams find ideal co-marketing partners, score partnership fit, and plan high-impact joint campaigns such as co-authored content, joint webinars, integration launches, and cross-promotions.

A systematic auditor designed to evaluate the resilience and quality of complex AI workflows. It scans across five critical dimensions—Prompt Quality, Context Efficiency, Tool Health, Architecture Fitness, and Safety—providing a scored report and prioritized, actionable remediation steps. Use this tool to find hidden flaws and ensure robustness before deploying any AI agent or system.

Diagnose search intent mismatches by analyzing SERP page types and user stories. This tool bridges SEO and UX, identifying ranking failures due to layout or intent issues rather than technical flaws. It provides gap analysis scores and persona-based scoring to align content with Google's rewards.