tldr
무료Distill your previous response into its leanest form. Use when the user says "tldr", "too long", "shorter", or asks you to condense or summarise what you just said.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
2.6천건 · 관련도순
Distill your previous response into its leanest form. Use when the user says "tldr", "too long", "shorter", or asks you to condense or summarise what you just said.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audit this repo's auto-memory files and suggest promoting each one to a more persistent layer — user or repo CLAUDE.md, an existing or new skill, a settings.json hook, or a checked-in reference doc. Use when the user says "audit memory", "promote memory", "clean up memories", "memory-promote", or wants to move ephemeral memory into durable config.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run hooks and create clean, logical commits via the commit-craft agent.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals — physics setups, chemistry mechanisms, math curves, physical objects (aircraft, turbines, smartphones, mechanical watches), anatomy, floor plans, cross-sections, narrative journeys (lifecycle of X, process of Y), hub-spoke system integrations (smart city, IoT), and exploded layer views. If a more specialized skill exists for the subject (dedicated software/cloud architecture, hand-drawn sketches, animated explainers, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback with a clean educational look. Ships with 15 example diagrams.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Set up Claude Code git safety guardrails that block dangerous git commands before execution. Use when the user asks to prevent git push, hard reset, git clean, destructive checkout/restore, or branch deletion from Claude Code hooks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Manage track lifecycle: archive, restore, delete, rename, and cleanup
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Master software architect specializing in modern architecture patterns, clean architecture, microservices, event-driven systems, and DDD. Reviews system designs and code changes for architectural integrity, scalability, and maintainability. Use PROACTIVELY for architectural decisions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extend dev-software-engineer with .NET/C# backend specialization for Clean Architecture, CQRS, EF Core, and production-ready API practices. Use when tasks involve ASP.NET endpoints, handlers, services, dependency injection, MediatR, migrations, or backend performance/resilience.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Base implementation skill for this repository across .NET/C#, backend APIs, database/ORM, frontend Vue/Quasar, and Rust with Clean Architecture rules. Use when the user asks to build features, fix bugs, refactor modules, or improve code-level performance, and use specialized skills as inheritance layers when available.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extend dev-software-engineer with .NET/C# backend specialization for Clean Architecture, CQRS, EF Core, and production-ready API practices. Use when tasks involve ASP.NET endpoints, handlers, services, dependency injection, MediatR, migrations, or backend performance/resilience and should follow the base implementation workflow.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Implement and refactor frontend features using Vue and Quasar with repository architecture, theming, UX, and performance standards. Use when tasks involve components, composables, Pinia, routing, i18n/UI behavior, responsive layouts, or frontend clean architecture changes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Remove a GSD workspace and clean up worktrees
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Archive accumulated phase directories from completed milestones
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create a clean PR branch by filtering out .planning/ commits — ready for code review
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Identifies and exploits SQL injection vulnerabilities in web applications during authorized penetration tests using manual techniques and automated tools like sqlmap. The tester detects injection points through error-based, union-based, blind boolean, and time-based blind techniques across all major database engines (MySQL, PostgreSQL, MSSQL, Oracle) to demonstrate data extraction, authentication bypass, and potential remote code execution. Activates for requests involving SQL injection testing, SQLi exploitation, database security assessment, or injection vulnerability verification.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Scrape webpage content, extract metadata, download images, and prepare for import/migration to AEM Edge Delivery Services. Returns analysis JSON with paths, metadata, cleaned HTML, and local images.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
AEM Cloud Service expert skill for Sling Scheduler. Routes to path-a.md (Runnable + OSGi properties) or path-b.md (Sling Jobs via JobManager). Covers classification, CS-specific constraints (no @SlingScheduled, multi-pod runOn, Boolean type hint), review checklist, troubleshooting fingerprints, and common pitfalls.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Bulk-retouch a folder of portrait photos using Adobe tools — designed for wedding photographers and event photographers who need fast, walk-away batch processing. Use this skill when the user says "retouch my photos", "batch process these portraits", "process my wedding photos", "clean up this folder of images", "run my headshots through Adobe", or uploads/selects a folder of photos and wants them polished and ready to review. Automatically applies auto-straighten, auto-tone, and auto-light to every image. Outputs a preview grid and download folder. Access: 🔐 Signed-In required | Gen AI: ❌
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create, revise, or evaluate repository Agent Skills when the user asks to write a SKILL.md, improve triggers or information hierarchy, restructure references/scripts/assets, or diagnose skill predictability; do not use for product code, AGENTS.md initialization, general prompt editing, or automatic repository-wide cleanup.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Simplify a bounded code area when the user explicitly requests behavior-preserving refactoring or a named complexity/readability problem is the accepted task; do not trigger automatically after implementation, during every review, for adjacent cleanup, or when behavior may change.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze source data, tables, CSV/XLSX extracts, metrics, or experiment results with explicit data-authenticity checks. Use for profiling, cleaning assumptions, statistical summaries, segmentation, trend analysis, or "analyze this data"; do not use for spreadsheet file surgery, chart design only, database migrations, or claims without data provenance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.