发现 Skills

Search the web, scrape websites, extract structured data from URLs, and automate browsers using Bright Data's Web MCP. Use when fetching live web content, bypassing blocks/CAPTCHAs, getting product data from Amazon/eBay, social media posts, or when standard requests fail.

Address all valid review comments on a PR for the current branch in the streamlit/streamlit repo. Use when a PR has received reviewer feedback that needs to be addressed, including code changes, style fixes, and documentation updates.

List the contents of an npm package tarball before publishing. Use when the user wants to see what files are included in an npm bundle, verify package contents, or debug npm publish issues.

React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.

Design and implement microinteractions, motion design, transitions, and user feedback patterns. Use when adding polish to UI interactions, implementing loading states, or creating delightful user experiences.

Generate and maintain OpenAPI 3.1 specifications from code, design-first specs, and validation patterns. Use when creating API documentation, generating SDKs, or ensuring API contract compliance.

Derive security requirements from threat models and business context. Use when translating threats into actionable requirements, creating security user stories, or building security test cases.

Automatic hook implementation, event-driven execution, and rule-driven workflows.

Japanese translation: This file requires a Japanese translation for motion-advanced.

Spring Boot architecture patterns, REST API design, layered services, data access, caching, asynchronous processing, and logging. Intended for Java Spring Boot backend development.

Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.

Full-stack diagnostics for agents and LLM applications. Audits wrapper regressions, memory contamination, tool-discipline failures, hidden repair loops, and rendering corruption across a 12-layer agent stack. Generates prioritized findings and code-first fixes. Essential for developers building agent applications, autonomous loops, or LLM-powered features.

Compare coding agents (Claude Code, Aider, Codex, etc.) head-to-head on custom tasks and measure metrics such as pass rate, cost, time, and consistency.

An evidence-based automation inventory and overlap-audit workflow for ECC. Use this when users want to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before remediation.

Bun as a runtime, package manager, bundler, and test runner. Guidance on choosing Bun vs Node, migration notes, and Vercel support.

Tracks user-facing buttons and touchpoints through the full sequence of state changes to find bugs where handlers work individually but cancel each other out, produce an incorrect final state, or leave the UI in an inconsistent state. Use cases: when systematic debugging has found a bug but users report a broken button, or after a major refactor that touches the shared state store.

A pattern for continuous autonomous agent loops with quality gates, evaluation, and recovery controls.

Frontend design direction, aesthetic principles, and implementation of a consistent design language.

HIPAA-compliant implementation, security controls, audit logging, and data protection strategies.

Japanese translation: This file requires a Japanese translation for perl-testing.

Japanese translation: This file requires a Japanese translation for quality-nonconformance.

A decision-making framework for choosing between regular expressions and large language models for parsing structured text — start with regular expressions and add a large language model only for low-confidence edge cases.

An interactive agent-selection tool for composing and dispatching parallel teams.

Audits the setup of active repositories, MCP servers, plugins, connectors, environment surfaces, and tools, and recommends the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when a user wants help setting up Claude Code or wants to understand what is actually available in their environment.