Skill UI

A comprehensive guide for building reliable, fault-tolerant applications using DBOS durable workflows within a TypeScript environment. It covers best practices for initialization, structuring complex workflows and steps, managing concurrency via queues, and integrating DBOS into existing TypeScript codebases.

This skill outlines a systematic, multi-phase workflow for diagnosing hard bugs and performance regressions in complex codebases. It emphasizes the critical necessity of building a tight, deterministic feedback loop (Phase 1) before moving to hypothesis generation. The process guides users through reproducing the failure, minimizing the scope of the issue, and forming actionable, ranked hypotheses.

This skill performs security-focused code reviews for pull requests, commits, and diffs. It prioritizes high-risk areas like authentication, cryptography, and external calls. The process is evidence-based, utilizing git history and line numbers to back findings with attack scenarios. It adapts to codebase size and generates comprehensive markdown reports for audit trails.

Audit Django codebases for validated performance issues like N+1 queries, unbounded querysets, and missing indexes. Traces data flow to confirm ORM bottlenecks before reporting.

This skill creates comprehensive technical documentation from existing codebases. It analyzes architecture, design patterns, and implementation details to produce long-form technical manuals and ebooks. The documentation includes executive summaries, architecture overviews, design decisions, core components, data models, and deployment considerations. It helps onboarding new team members and supports long-term maintenance by providing clear, structured, and accessible technical references in Markdown format.

This skill specializes in creating comprehensive and maintainable documentation directly from codebases. It generates API docs, architecture diagrams, user guides, and technical references using AI-powered analysis. Ideal for building documentation pipelines, standardizing documentation across repositories, and ensuring living documentation stays synchronized with code changes while adhering to industry best practices.

Create or audit ECL Agent Harness infrastructure: AGENTS.md, change tracking, repository guidance, lint checks, CI gates, and agent handoff docs. Ensures AI agents can work reliably in a codebase.

This skill searches logs and codebases for error patterns, stack traces, and anomalies. It correlates errors across systems to identify root causes. Use it for building evidence-backed timelines for failures, comparing request outcomes, and analyzing stack traces. It supports log aggregation queries and anomaly detection to provide actionable findings and prevention strategies.

FAF Expert is an advanced tool for creating standardized, persistent context for complex software projects. It uses the IANA-registered FAF format to transform codebases into AI-intelligent assets. Use it for multi-AI workflow management (Claude, Gemini, etc.), enterprise-grade deployment, and standardizing project context across development lifecycles.

Automatically scans any codebase, detects its stack, and generates a persistent project.faf AI context plus readiness scoring so every AI tool can instantly understand and contribute to your project.

This skill acts as a specialized expert for transitioning codebases across various frameworks, languages, versions, and platforms. It generates detailed migration plans, automated migration scripts, comprehensive risk assessments, and rollback strategies. Use it when upgrading technology stacks or moving code between disparate systems to ensure minimal disruption and maintain core functionality.

This skill enables comprehensive static analysis of frontend codebases to detect Cross-Site Scripting (XSS) vulnerabilities. It identifies unsafe DOM manipulation, improper sanitization, and injection points across frameworks like React, Vue, and Angular. Use it to secure client-side applications against critical security risks.