1.7천건 · 관련도순
Red team engagement planning is the foundational phase that defines scope, objectives, rules of engagement (ROE), threat model selection, and operational timelines before any offensive testing begins.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Configure secure OAuth 2.0 authorization flows including Authorization Code with PKCE, Client Credentials, and Device Authorization Grant. This skill covers flow selection, PKCE implementation, token
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
AEM Cloud Service expert skill for replication / content distribution. Covers migration from CQ Replicator (com.day.cq.replication.Replicator) and Sling Replication Agent (org.apache.sling.replication.agent.api) to the Sling Distribution API (Distributor + SimpleDistributionRequest). Includes agent selection (publish vs preview), async response handling, author cluster coordination, service-user setup, review checklist, troubleshooting, and common pitfalls.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze content sequences and determine authoring approach (default content vs blocks). Validates block selection and section styling for import/migration to AEM Edge Delivery Services.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Provides advanced UI/UX design intelligence for portfolio and app work, including design system selection, palette and typography guidance, and implementation checks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design, critique, or specify honest charts and data visualizations from known data and audience needs. Use for chart selection, misleading-chart audits, accessibility, dashboard visuals, or "make this data easier to understand"; do not use for raw data analysis, PPT deck generation, spreadsheet surgery, or fabricated chart data.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Reduces LLM costs and improves response times through caching, model selection, batching, and prompt optimization. Provides cost breakdowns, latency hotspots, and configuration recommendations. Use for "cost reduction", "performance optimization", "latency improvement", or "efficiency".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a Spark branch or pull request needs final diff hygiene, validation selection, commit scope, remote topology, and readiness checked before publication.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Wi-Fi reconnaissance methodology — adapter selection, monitor mode and packet injection setup, regulatory domain handling, multi-band airspace mapping, hidden SSID discovery, BSSID/ESSID/channel/PMF/encryption fingerprinting, client probe analysis, vendor OUI lookup, war-driving with Kismet/airodump-ng/Wigle, and structured airspace data capture for downstream attacks. Use at the start of any wireless engagement to build the target map before active attacks; covers 2.4 GHz, 5 GHz, and 6 GHz (Wi-Fi 6E) bands and adapter compatibility for each.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Companion to the generic report-writing skill. Use when working specifically on Bugcrowd submissions where VRT mapping, OOS-clause rebuttals, or per-program target selection matter.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Structured OSINT methodology framework: target definition, source selection, collection workflows, data correlation, timeline reconstruction, and reporting. Use to guide systematic OSINT campaigns or teach OSINT methodology.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Week 2 of the exploit development curriculum. Covers fuzzing methodology: target selection, corpus generation, coverage-guided fuzzing with AFL++/libFuzzer, structured fuzzing, and triage/deduplication. Use when setting up fuzz campaigns, selecting harness strategies, or triaging fuzzer output.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring explicit user mentions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Send SMS and make voice calls via Dialpad API. Supports single/batch SMS, voice calls with TTS, and caller ID selection.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and build custom Claude Code agents with effective descriptions, tool access patterns, and self-documenting prompts. Covers Task tool delegation, model selection, memory limits, and declarative instruction design. Use when: creating custom agents, designing agent descriptions for auto-delegation, troubleshooting agent memory issues, or building agent pipelines.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
A robust CLI wrapper for yt-dlp to download videos, playlists, and audio from YouTube and thousands of other sites. Supports format selection, quality control, metadata embedding, and cookie authentication.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, google.golang.org/genai for Go), model selection, and API capabilities.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.