Skill UI

This skill allows users to mine their extensive coding history across various AI agents (Claude, Codex, Gemini, etc.) into a persistent, structured corpus. It surfaces reproducible workflows as evidence and interactively helps the user forge these past practices into reusable, installed skills across their agent ecosystem. It is designed to synthesize judgment from raw transcripts into actionable, portable skills.

Aria functions as a System Architect, responsible for establishing the definitive structural foundation of the entire system. She designs comprehensive blueprints covering the data model (schema, relationships, constraints), API contract specifications (endpoints, auth, pagination), modular file structure, and selection of core architectural design patterns. Her output ensures that no code is written without a rigorously defined, approved architectural plan, minimizing ambiguity and technical debt.

Dep handles the entire journey from local code to production deployment. This skill automates containerization using Docker and docker-compose, establishes robust CI/CD pipelines (linting, testing, security scanning, deployment), manages environment variables and secrets, and generates Infrastructure as Code (Terraform/Pulumi) configurations. It ensures observability and provides rollback procedures.

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 skill designs and audits the core engineering harness required for reliable AI agent collaboration within a codebase. It establishes critical infrastructure elements such as change tracking, linting rules, CI/CD gates, and standardized documentation, ensuring the repository remains the single source of truth for all intelligent agents. Ideal for setting up complex development workflows.

This skill applies a rigorous, evidence-first discipline to coding tasks, inspired by Fable-like best practices. It guides agents through a structured workflow: inspecting the workspace, tracking goals and findings, grounding all conclusions in verifiable evidence, and executing thorough verification gates before declaring completion. Ideal for complex development, debugging, or adapting cross-model prompt guidance into robust, verifiable project rules.

This comprehensive guide details idiomatic best practices for writing high-performance, safe code in Rust. It covers advanced topics such as understanding Ownership and Borrowing rules, robust error handling using the '?' operator, optimizing functional programming with Iterators, implementing structured concurrency, and defining robust data models with Structs and Enums.

This skill transforms raw API specifications, Postman collections, or verbal descriptions into clean, developer-facing documentation. It produces comprehensive guides including detailed endpoints, parameters, request/response schemas, standardized error codes, and runnable code examples, making it ideal for developer portals or README files.

Implements a robust, four-stage coding discipline (Plan, Isolate, Test First, Double Review) to prevent premature code delivery. This skill forces the AI to structure complex tasks by planning, implementing in isolation, writing tests first, and performing deep self-review, significantly improving code correctness and quality.

This tool parses raw, complex error logs, stack traces, and crash reports into a highly structured and actionable diagnosis. It goes beyond simple error reporting to identify the probable root cause, analyze the affected code path, and provide concrete, code-level fix suggestions and ordered next debugging steps. Ideal for developers facing critical production bugs or unexplained application crashes.

This skill generates a comprehensive and structured developer onboarding document for any service or codebase. It guides new engineers through the entire product lifecycle, covering architectural overview, local development setup, key coding patterns, testing strategies, CI/CD deployment processes, and team contacts, ensuring rapid productivity from day one.

This tool conducts structured reviews of various Infrastructure-as-Code (IaC) tools (e.g., Terraform, Pulumi) across multiple cloud providers. It generates an actionable report that categorizes findings by severity (Critical, High, Medium, Low), providing detailed remediation steps and a reusable best-practice checklist for continuous security, compliance, and operational auditing.