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Analyze collected requirements from interviews, detect ambiguities, generate structured specifications, and suggest implementation approaches

FastAPI 기반 Python 백엔드 컨벤션

Utilize para construir análises de ações baseadas em teses no Claude Code, usando dados públicos do SEC EDGAR e snapshots de mercado. Inclui os fluxos de trabalho /analyze, /score e /compare com ferramentas Python integradas.

Analyze CSV files with business data through a dialogue-based flow — no code, no Python, no plugins. Profiles dataset structure, asks what you want to understand, then delivers numbered insights and a plain-language interpretation. Use when analyzing sales exports, task lists, survey results, CRM data, or any CSV file. Triggers: 'analyze my CSV', 'analyze this CSV file', 'help me understand this d

Analyze survey CSV files and extract quantitative frequencies, qualitative themes, and Top-3 insights. No Python required — Cowork-native. Use when reviewing Google Forms/Typeform/SurveyMonkey exports, preparing stakeholder reports, or turning raw survey data into actionable findings. Triggers: 'analyze survey results', 'survey results analyzer', 'проанализируй результаты опроса', 'анализ опроса'.

This skill should be used when the user is writing, reviewing, debugging, or architecting Rust code. Detects edition and toolchain from the project. Provides expert critique covering ownership, error handling, unsafe review, async correctness, trait design, type system patterns, performance, SOLID principles, and Cargo/workspace practices. Use when the user asks "critique my Rust code", "review th

Use this skill when writing or running Maestro flows for iOS or Android apps, driving the Maestro MCP server, diagnosing flaky mobile UI tests, or onboarding a new team to mobile e2e testing. Trigger whenever the user mentions Maestro, mobile testing, iOS Simulator flows, Android emulator flows, "test my app", YAML test flows, GraalJS test scripting, assertVisible / tapOn / launchApp, deep links f

This skill should be used when the user is writing, reviewing, debugging, or architecting Python backend code using Litestar or FastAPI with SQLAlchemy or Advanced Alchemy. Provides expert critique covering SOLID principles, hexagonal architecture, repository/service patterns, dependency injection, async correctness, ORM usage, API design, anti-pattern detection, and modern Python patterns for mat

Automated API security testing starting from domains. Discovers REST, GraphQL, and SOAP APIs, reconstructs schemas, and tests for BOLA/IDOR, BFLA, mass assignment, JWT attacks, rate limiting bypass, and business logic flaws. Use when user asks to "test API security", "break API", "find API vulnerabilities", "test GraphQL", "test JWT", "API pentest", or provides domains with API endpoints. For auth

This skill should be activated when the user wants to build an agent, design tools for an agent, write skills, structure a CLAUDE.md, optimize prompt caching, set up worktrees, use subagents, design verification loops, write hooks, structure a project for Claude Code, or improve their Claude Code workflow. Relevant when the user says "how should I structure this", "write a skill for", "design this

Use this skill to test, validate, fuzz, or debug a process boundary ("seam") that exposes itself as an FFI dynamic library or a Unix-domain socket — for example probing a Rust runtime hosted in a Swift or Electron app via its C ABI, or sending crafted length-prefixed frames to a daemon's UDS endpoint. The skill teaches how to drive the probe from the CLI, capture both the probe's NDJSON output AND

Generate figures that visualize patterns in an academic literature: publication trends, citation landmarks, journal distributions, thematic evolution, method timelines, and coverage gap maps. Uses Corbis search data and Python/matplotlib.