Skill UI

This skill orchestrates the entire development lifecycle for approved software tasks. It operates in autonomous or manual modes, rigorously applying Test-Driven Development (TDD). It automatically gathers all necessary context (specs, requirements, design, and historical learnings), validates the repository state, and dispatches specialized sub-agents to implement tasks one by one, ensuring high code quality, adherence to design, and process traceability.

This comprehensive guide serves as a decision flowchart for developers using Claude Code. It details when to use specific slash commands (/plan, /compact, /loop), select specialized agents (planner, code-reviewer, build-error-resolver), or invoke workflow skills (e2e-testing, tdd-workflow). It helps users select the optimal tool combination for complex tasks across the entire software development lifecycle, including feature planning, bug fixing, testing, and architectural design.

This advanced code reviewer analyzes your codebase through the principles of 12 classic software engineering books (e.g., Clean Code, DDIA, Mythical Man-Month). It detects conceptual flaws, design smells, tight coupling, missing abstractions, and architectural risks—issues that standard linters and basic AI tools often miss. Essential for major refactoring and pre-design validation.

Squirrel is an advanced, full-cycle AI coding skill designed to guide software development from concept to production. It automatically detects the current project state (greenfield, in-progress, or mature) and adapts an 8-phase engineering pipeline. This comprehensive workflow covers planning, building, rigorous testing, bug hunting, code polishing, documentation, and deployment readiness, ensuring high-quality, maintainable results.

This is a comprehensive library of 140 proven marketing and growth strategies, specifically designed for SaaS and software products. The skill guides users through advanced tactics covering SEO, content repurposing, competitive analysis, engineering marketing, and paid advertising. Use it when seeking growth hacks, marketing ideas, or detailed promotion strategies to scale a digital product.

Open Dynamic Workflows (ODW) is an advanced, open-source engine designed to manage complex coding tasks using multiple AI agents. It operates in three stages: planning the task into parallel subtasks, orchestrating various coding agents (like Codex or Antigravity) to work concurrently, and finally, performing an adversarial verification pass to challenge and validate the combined output before merging. It supports multiple model providers and is ideal for structured, high-reliability software development.

This skill transforms vague or high-level project ideas into eight comprehensive, interconnected planning documents (PRD, TechSpec, Design, Schema, etc.). It establishes a definitive, persistent source of truth for the project's scope, architecture, and design guidelines before a single line of code is written. Ideal for initiating brand-new software projects to prevent scope creep and planning gaps.

This tool generates a comprehensive hiring rubric and technical interview scorecard for evaluating software engineers at specific levels and roles. It defines clear behavioral anchors, structured technical questions, and system design criteria, ensuring consistent, unbiased evaluation across all interviewers, and providing a full debrief agenda.

A comprehensive framework designed for formal procurement decision-making. This skill guides the creation of a weighted scorecard and detailed evaluation criteria by assessing functional fit, commercial terms, security compliance, and vendor stability. Use this when conducting RFPs, comparing multiple suppliers, or making critical software/service provider choices to ensure a holistic, risk-mitigated recommendation.

A comprehensive guide and shared vocabulary for designing and structuring complex software modules. Use this when you need to refine an existing module's interface, identify opportunities for deepening its capabilities, determine optimal internal seams, or improve code testability and AI-navigability. It establishes clear principles for Module, Interface, Depth, and Seam.

A systematic, non-mutating investigation designed for complex software failures, including bugs, regressions, crashes, and flaky behavior. This skill launches four specialized, read-only sub-agents in parallel to perform deep root-cause analysis, trace code paths, pinpoint the smallest failing seam, and predict the quickest path to confirming or fixing the issue. It is designed purely for diagnosis and hypothesis generation.

This sophisticated skill is designed to locate the root cause of a confirmed software failure. It performs a systematic, semi-formal tracing process: first tracing backward from the observed failure point (using provided stack traces, assertions, or error messages) to identify the original premise, and then tracing forward to confirm the symptom. It outputs a highly structured report detailing the divergence, premises, and remedy.