Skill UI

A comprehensive guide to designing scalable, cost-effective, and compliant architectures on Microsoft Azure. This skill covers the entire lifecycle, from gathering detailed business requirements (SLA, RPO/RTO) and selecting appropriate service patterns (AKS, Serverless, Data Factory), to generating Infrastructure as Code (IaC) using Bicep. It also includes steps for cost optimization, reserved instance planning, and setting up robust CI/CD pipelines via Azure DevOps or GitHub Actions.

A powerful operational companion for database developers. This skill assists with the daily lifecycle of database interactions, including translating natural language requirements into optimized SQL queries, generating database migrations, performing comprehensive schema introspection across multiple dialects (PostgreSQL, MySQL, SQLite, SQL Server), and identifying performance bottlenecks through detailed query optimization and index recommendations. It also supports ORM patterns like Prisma and SQLAlchemy.

Claude-style communications literature review skill that prioritizes knowledge bases (Zotero, Obsidian, local libraries) before IEEE Xplore, ScienceDirect, ACM, and the broader web, covering wireless, cellular, satellite, routing, congestion control, and related systems when the user needs papers or landscape summaries.

This tool meticulously measures whether AI coding agents adhere to predefined skills, rules, or architectural guidelines. It automatically generates expected behavioral sequences and runs scenarios with varying prompt strictness. It deeply analyzes tool call traces, classifies behaviors using LLMs, and generates detailed compliance reports, ensuring robust quality control and adherence to defined workflows.

This skill provides a comprehensive framework for validating the integrity and recoverability of critical data backups. It goes beyond simple file checks by implementing cryptographic hash verification (SHA-256), simulating automated restore tests in isolated environments, detecting silent data corruption (bit rot), and scanning for signs of ransomware artifacts. It is crucial for ensuring data reliability against cyberattacks and hardware failures, adhering to standards like NIST CSF.

Automates pre-development planning for large-scale transformations by running comprehensive analysis, task decomposition, documentation generation, progress tracking setup, and tailored sub-skill creation before any coding begins.

Workspace Surface Audit scans repo files, MCP servers, plugins, connectors, and environment configs to report current capabilities and recommend ECC-native skills, hooks, agents, or workflows for setups like Claude Code.

Classify ECC skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets by using repo-specific evidence so the install surface matches only the components a project actually needs.

This skill focuses on building new API connectors or providers for an existing repository by strictly adhering to the host project's established architectural patterns. It goes beyond basic HTTP calls, requiring alignment with the repository's native standards for connector layout, configuration schemas, authentication models, error handling, and testing frameworks. Use this when integrating a new service while maintaining architectural consistency with the current codebase.

Detects when a skill's frontmatter block lacks its closing delimiter so editors can fix the metadata formatting before parsing fails.

Helps users discover and install open agent skills by translating requests like “how do I do X” into CLI searches, reviewing sources, and guiding safe installs with security warnings and confirmations.

Continuously modernize Go codebases by recommending modern language, standard library, testing, and tooling idioms plus upgrade paths; apply this skill during development, code review, or CI scans to keep Go 1.21+ practices current.