Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
테스트 설계, 취약점 진단, 품질 보증 (1.3만건)
Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Fast quality gate — detects stack, runs static analysis, checks cross-layer consistency, fixes issues. Run between every pipeline phase, before every commit push, after every feature batch. Lighter than /analyze but catches the same critical issues.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Maxim Brand Intelligence — brand identity, voice architecture, visual identity systems, messaging frameworks, brand consistency enforcement. Activate for brand strategy, brand audits, brand guidelines, tone of voice, asset compliance, color palette, typography specs. Powered by Maxim behavioral science layer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Native Rust browser automation CLI for AI agents. Use when the user needs to interact with websites — navigating pages, filling forms, clicking buttons, taking screenshots, sharing a live browser view, narrating browser actions, extracting structured data, running assertions, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "show me the browser", "share the screen", "pause the browser", "step through this", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", "visual regression test", "check for prompt injection", or any task requiring programmatic web interaction.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Delegate tasks to AI agents via Box0. Use when the user asks to review code, check security, run tests, compare tools, get multiple perspectives, research a topic, analyze data, write docs, or any task that could benefit from specialized or parallel execution. Also use when the user mentions agent names or says "ask", "delegate", "get opinions from", or "have someone".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audit a website against the Forter Agentic Readiness Guide. Loads the 25 weighted rubrics in `audit/`, probes the target site (and optional source code), scores each guideline Pass/Partial/Fail/N/A with sub-check granularity, and produces a prioritized fix report. Use when a user asks "score my site against the agentic readiness guide", "audit https://… for agent readiness", or "what do I need to fix to be agent-ready".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build Spring Boot 4.x applications following the best practices. Use this skill: * When developing Spring Boot applications using Spring MVC, Spring Data JPA, Spring Modulith, Spring Security * To create recommended Spring Boot package structure * To implement REST APIs, entities/repositories, service layer, modular monoliths * To use Thymeleaf view templates for building web applications * To write tests for REST APIs and Web applications * To write ArchUnit tests for testing architecture * To configure the recommended plugins and configurations to improve code quality, and testing while using Maven. * To use Spring Boot's Docker Compose support for local development * To create Taskfile for easier execution of common tasks while working with a Spring Boot application
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Kaggle-first end-to-end competition workflow for scored submissions. Use when Codex must run Kaggle or competitive ML workflows through scored submission, including code competitions, validation, metrics, policy-safe public notebook/discussion intel, tabular/text/image modeling, tuning, ensembling/stacking, proactive multi-notebook architectures, producer notebooks that train models and export private Kaggle artifact datasets, downstream consumer notebooks, Kaggle GPU offload, kagglehub access, hidden-test debugging, and public score retrieval.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Core agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill whenever the user wants to read, create, or edit Korean Hangul Word Processor documents (.hwp or .hwpx files). Triggers include any mention of 'hwp', 'hwpx', '한글 문서', '아래한글', '한컴오피스', or uploading/attaching .hwp/.hwpx files. Also use when extracting text from Korean reports or producing Korean-formatted official documents (공문, 보고서, 계약서, 사업계획서). Do NOT use for Word .docx files (use the docx skill instead) or general Korean text without Hangul Word Processor format. ⚠️ SECURITY: if the task fills a form with personal data (주민등록번호·계좌·연락처·주소 등), LOAD THIS SKILL FIRST — before any `ls`/`cat`/`Read`/`grep` of the working dir or home — and NEVER directly cat/Read/grep a profile or 내정보 file (e.g. ~/.claw-hwp/profile.txt), even "to check it". Its SECURE FILL flow reads values in-process only; reading them yourself leaks them into context.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audit and adapt monkey patches in vllm_metax/patch/ against a target upstream revision. Decide whether to retain, update, migrate, or remove each patch; maintain patch headers and explanations; validate changes and record evidence. Use only for compatibility work on this directory, not standalone attention backend, model, kernel, or other adaptations elsewhere in vllm_metax.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Trim large MetaX model directories for dummy smoke tests or real-checkpoint loading on limited GPUs. Preserve target execution paths while reducing depth; use the real-weight workflow when a loadable checkpoint is requested. Not for accuracy evaluation or model compatibility upgrades.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Review and upgrade MetaX model support against target vLLM and installed MACA components, including model-dependent attention, weight loading and kernels. Use for model adaptations and shared-upstream-bug attribution, not standalone patch or registry audits.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Edit-Pass für bestehenden deutschen Text: Register/Rhythmus messen, belegtreu redigieren, Naturalness prüfen, KI-Schreibmuster/KI-Tells auditieren und entfernen; deutschen Text humanisieren; German AI Text Humanizer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Продающие страницы и представительские тексты на русском языке: лендинги, промостраницы, страницы продукта, услуги, тексты о себе, профили, отклики, страницы компании, миссии и пресс-релизы. Use this skill whenever the user asks to write, audit, structure, or improve a Russian landing page, promo page, sales page, product page, service page, about-me text, job application, company page, mission, press release, homepage copy, or text describing services. Триггеры: «лендинг», «промостраница», «продающий текст», «страница продукта», «текст о себе», «отклик на вакансию», «о компании», «миссия», «пресс-релиз», «опиши мои услуги», «текст для главной». Для коротких постов см. skill post; для статей и лонгридов — statya; для текстов интерфейса — ux-copy.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create, edit, evaluate, and package agent skills. Use when building a new skill from scratch, improving an existing skill, fixing a skill that never triggers or fires unreliably, running evals to test a skill, benchmarking skill performance, optimizing a skill's description, reviewing third-party skills for quality, or packaging skills for distribution — even if the user doesn't explicitly say "skill" (e.g. "teach Claude to do X", "make the agent always follow Y"). Not for using skills or general coding tasks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Discovery, download, and configuration hub for the entire aelf agent skill ecosystem. Use when the user wants to: (1) explore or list available aelf skills, (2) install/bootstrap aelf skills into Cursor, Claude Desktop, OpenClaw, Codex, or Claude Code, (3) route an aelf-related intent to the correct skill, (4) check health or audit installed skills, (5) onboard a new skill into the aelf ecosystem. Covers domains: Portkey CA wallet, Portkey EOA wallet, Awaken DEX, eForest NFT marketplace, AelfScan explorer, TomorrowDAO governance, aelf node interaction.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Performance optimization specialist for profiling, caching, and latency optimizationUse when "performance, latency, slow query, profiling, caching, optimization, N+1, connection pool, p99, performance, profiling, caching, latency, optimization, async, database, load-testing, ml-memory" mentioned.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
World-class application logging - structured logs, correlation IDs, log aggregation, and the battle scars from debugging production without proper logsUse when "log, logging, logger, debug, trace, audit, structured log, correlation id, request id, log level, winston, pino, bunyan, log4j, logging, observability, debugging, monitoring, tracing, structured-logs, correlation, aggregation" mentioned.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Testing strategies for MCP servers including unit tests, integration tests, schema validation, and security testingUse when "mcp testing, test mcp server, mcp inspector, mcp validation, mcp, testing, unit-testing, integration-testing, schema-validation" mentioned.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.