Skill UI

This skill optimizes LLM context usage through prompt caching, log pruning, and AST-based file inspection. It enforces ultra-dense output, minimizes filler text, and manages token budgets efficiently. Ideal for technical tasks requiring precise code edits, structured data handling, and reduced context window consumption during long sessions.

This skill helps design and build 360-degree feedback systems for businesses. It manages reviewer data, subjects, cycles, visibility, and scoring. Outputs can be generated in CSV, SQL, JSON Schema, or Notion formats. It is suitable for peer reviews and holistic feedback tracking, ensuring structured data collection without drifting artifacts.

This skill provides a standardized framework for evaluating autonomous AI agents. It tracks task completion rates, planning accuracy, tool invocation precision, and operational costs. Suitable for engineering teams managing distributed systems, it enables reproducible benchmarking, regression monitoring, and compliance tracking through structured data models like CSV, SQL, and JSON schemas.

This tool manages peer support buddy programs for new hires. It helps register new employees, assign buddies, track departments, dates, check-ins, and feedback scores. It generates templates like CSV, SQL, or Notion schemas based on specific business needs. It focuses on onboarding workflows without processing real employee data, ensuring safety. Ideal for scaling teams needing structured onboarding tracking.

Builds evidence-linked slide registers and structured business stories for SMEs. Handles context-first intake, validates data sources, and produces CSV, SQL DDL, JSON Schema, or Notion mappings on request.

Provides a structured framework for managing SEP-41 compliant token contracts on Stellar's Soroban platform, including admin controls, supply caps, and metadata standards. Generates CSV, SQL DDL, and JSON Schema for tracking compliance.

Coordinates sponsored meta-transaction nodes, fee reservation pools, and cryptographic nonce tracking for frictionless Web3 user onboarding. Provides standardized data models and verification schemas for managing relayer infrastructure.

This skill helps identify explanatory attributes or hypotheses for variations in process metrics such as duration, waiting time, utilization, and rework. It involves checking metadata correlations, statistical evidence, and cohort comparisons to distinguish competing explanations. The method emphasizes evidence-based analysis, avoiding silent assumptions, and framing findings as testable hypotheses rather than definitive causal claims. It supports structured investigation of process efficiency and bottlenecks using specific analytical tools and frozen baseline scopes.

This skill facilitates read-only research on Amazon products, reviews, categories, and sellers using an MCP bridge. It allows users to gather structured data for market analysis, product comparisons, and niche exploration without executing write actions or purchases. Requires an API key and adheres to specific tool schemas.

Ax is a command-line interface designed to replace curl and parsing scripts for fetching URLs, exploring web pages, and extracting structured data from HTML. It simplifies web scraping with features like outline discovery, selector location, and structured output formats. The tool caches repeated requests and includes safety warnings for untrusted data and credentials. Ideal for developers needing efficient web data interaction without writing complex scripts.

Generate deduplicated FAQ question-answer pairs from source content, topics, or support logs for SEO and content workflows. Creates structured data when requested, flags missing policies, and preserves facts without fabricating answers.

Generates validated Schema.org JSON-LD from visible page content and a URL, including type rationale, missing facts, and validation status for SEO structured data.