Design and deploy a Google Cloud global external Application Load Balancer with caching and web attack protection. Matches settings to workload types, discovers existing backends, and generates Terraform or gcloud deployment scripts.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Design global web delivery across multiple backends
- Choose caching settings for static content and APIs
- Configure Cloud Armor protection for each workload
google/skills☆ 2.1만2026년 10월 20일 업데이트
Assess how changes, failures, or paused updates to a BigQuery table or view affect downstream assets. Trace data lineage, the relationships showing where data flows, and summarize dependent tables, dashboards, and processes with direct and indirect impacts.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Assess downstream effects of a table failure
- Check dependencies before changing or deleting a view
- Evaluate the impact of pausing data updates
google/skills☆ 2.1만2026년 10월 20일 업데이트
Guides a pull request from local checks through a recorded demo, GitHub upload, merge, and development environment verification. Explains the project's test and preview labels, attachment requirements, and rules for keeping the pull request current.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Prepare a pull request with local verification results
- Record and attach a demo of changed behavior
- Check when test and preview labels run workflows
kortix-ai/suna☆ 2만2026년 10월 20일 업데이트
Build repeatable DeepEval tests for AI agents, chatbots, and applications that retrieve documents to answer questions. Reuse or generate evaluation datasets, inspect failures, and improve prompts, tools, or retrieval through repeated evaluation runs.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Add repeatable quality tests for an AI agent
- Evaluate chatbot behavior across multiple conversation turns
- Generate evaluation datasets from documentation
confident-ai/deepeval☆ 1.9만2026년 10월 19일 업데이트
Integrate GSAP animations into React and Next.js components using useGSAP, element references, and scoped selectors. The skill guides dependency updates, event callbacks, and cleanup when components unmount, while keeping animation code out of server rendering.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Adding GSAP animations to React components
- Restricting animations to elements within one component
- Cleaning up animations when components unmount
greensock/gsap-skills☆ 1.7만2026년 7월 30일 업데이트
Add GSAP animations to Vue, Nuxt, Svelte, and SvelteKit components with guidance on when animations should start, which elements they affect, and how to remove animations and restore styles when components are removed.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Adding animations to Vue components
- Reviewing animation cleanup in Svelte
- Limiting animations to elements within a component
greensock/gsap-skills☆ 1.7만2026년 7월 30일 업데이트
Draft replies, follow-ups, and new emails in Superhuman using the user's writing style. It reads the full conversation, updates an existing draft when present, and checks recipients and CCs, leaving the draft for the user to send.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Draft a reply using the full email conversation
- Finish a draft already started in Superhuman
- Write a follow-up in your usual style
superset-sh/superset☆ 1.5만2026년 10월 20일 업데이트
Import an FBX character into a CARLA source build as a pedestrian available through the Python API. Check its GEN3 skeleton, create assets and a walker blueprint, register it, and verify spawning, ground placement, and movement.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Add a custom FBX character as a CARLA pedestrian
- Check whether an FBX uses the required GEN3 skeleton
- Investigate floating or motionless imported pedestrians
carla-simulator/carla☆ 1.5만2026년 10월 20일 업데이트
Set up Loop Engineering through a single command-line tool, choosing a workflow pattern and agent tool. Start in report-only mode, check setup health and readiness, and provide next actions and first-run instructions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Introducing a daily issue and priority review workflow
- Setting up workflows for stalled pull requests or failing CI
- Checking the health of an existing Loop Engineering setup
cobusgreyling/loop-engineering☆ 1.2만2026년 10월 20일 업데이트
Builds and updates OpenClaw interfaces using shared styling rules, existing components, and semantic tokens—named values for visual roles. Helps keep themes, controls, and interaction states consistent while preserving application behavior unless changes are requested.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Styling OpenClaw screens with shared visual rules
- Updating themes and semantic design tokens
- Reviewing focus, loading, and error states
openclaw/clawhub☆ 9.5천2026년 10월 20일 업데이트
Classify agent work as ready to continue, needing human judgment, or intentionally paused. Structure decision requests with evidence, a recommended choice, and clear outcomes, then connect the recorded decision to the next responsible agent.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Deciding whether agent work needs human review
- Preparing decision requests with evidence and recommended choices
- Designing a dashboard for pending human decisions
mvschwarz/openrig☆ 8천2026년 10월 20일 업데이트
Open terminal views for OpenRig agents in cmux, grouped by rig, pod, mission, slice, or saved view. Inspect connection health and view agent sessions with read-only access where required, while keeping the underlying sessions running.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- View a rig's agent terminals together in cmux
- Monitor mission or slice terminals in read-only mode
- Reopen a saved terminal view
mvschwarz/openrig☆ 8천2026년 10월 20일 업데이트
Build Native SDK app logic in TypeScript using explicit state, messages, and update functions. Explains the supported language subset, compiler diagnostics, module organization, and tests for logic that compiles directly into native code.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Designing state and messages for a new app
- Fixing unsupported TypeScript constructs
- Splitting app logic into modules
vercel-labs/native☆ 7.8천2026년 10월 19일 업데이트
Route product design requests to focused skills for user research, experience reviews, visual exploration, prototype building, or sharing. This entry point selects the appropriate workflow rather than performing the design work itself.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Finding the right workflow for a product design request
- Routing a product flow review to an audit
- Starting visual exploration for a new prototype
openai/plugins☆ 7.5천2026년 10월 8일 업데이트
Prepare detailed reports before company earnings announcements. Organize market expectations, company guidance, key performance measures, possible outcomes, and questions for management, with clear source timestamps and explicit gaps in the available evidence.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Prepare a full report before an earnings announcement
- Compare market expectations with company guidance
- Frame bullish, base, and bearish outcomes
openai/plugins☆ 7.5천2026년 10월 8일 업데이트
Set up NVIDIA infrastructure for synthetic data generation on MicroK8s or Azure AKS. Coordinate Kubernetes, inference services, and OSMO workflow execution, with prerequisite checks, deployment validation, capacity planning, and failure investigation before workloads are retried.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Set up a synthetic data generation environment on MicroK8s
- Deploy an Azure AKS environment with OSMO and inference services
- Check GPU quotas and capacity before scaling
openai/plugins☆ 7.5천2026년 10월 8일 업데이트
Audit AGENTS.md, rules, skills, and their references for broken paths or commands. Optional independent agent reviews assess redundant instructions and practical usefulness, producing reports that identify what to retain, review, or consider trimming.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking paths and commands cited in agent instructions
- Finding redundant rules across skills and instructions
- Assessing which instruction files change agent behavior
tech-leads-club/agent-skills☆ 7.1천2026년 10월 17일 업데이트
Integrate Switchboard into Solana apps to access price feeds, custom external data, and verifiable random values. The guide includes TypeScript and Rust examples, plus Surge streaming for interfaces that need live price updates.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Reading and updating asset prices in a Solana app
- Streaming live prices to a trading interface
- Using verifiable randomness in an on-chain game
internet-court/internet-court-skill☆ 6.8천2026년 8월 20일 업데이트
Create and manage prediction markets on Solana, where participants trade YES or NO outcome tokens. Support includes direct peer bets, social media metrics, custom result authorities, market settlement, and redemption of winning positions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Create a prediction market around social media metrics
- Build direct peer-to-peer betting markets
- Let an AI agent determine market outcomes
internet-court/internet-court-skill☆ 6.8천2026년 8월 20일 업데이트
Build OpenBot administration and settings screens with shared layout components. Provides consistent page widths, row structures, control sizes, and dialog layouts, including patterns for switches, editable summaries, and read-only values.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Adding an administration or settings page
- Adding a settings row to an existing screen
- Choosing between a switch and an editing dialog
CopilotKit/OpenBot☆ 6.7천2026년 10월 20일 업데이트
Introduce nullable reference types into an existing C# project, making explicit which references may be null. Plan a staged migration, resolve compiler warnings, and clarify public API annotations while preserving runtime behavior.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Adopting nullable reference types in an existing C# project
- Migrating a large codebase file by file
- Clarifying nullability in public APIs
dotnet/skills☆ 5.7천2026년 10월 20일 업데이트
Review MSBuild project files and build definitions for correctness and maintainability. Get prioritized findings with concrete recommendations, distinguishing confirmed defects from conditional risks and valid exceptions such as F# source ordering or required imports.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Reviewing build files for maintainability
- Checking path portability across operating systems
- Reviewing import safety and required-file assumptions
dotnet/skills☆ 5.7천2026년 10월 20일 업데이트
Build reproducible empirical analyses in R, from data cleaning to statistical modeling and publication tables and figures. Covers economics, epidemiology, and machine learning approaches to causal inference, which estimates effects of interventions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Build a reproducible R or Quarto analysis workflow
- Compare regression models with progressively added controls
- Test robustness across samples and statistical methods
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7천2026년 10월 19일 업데이트
Keep implementation work moving by turning routine uncertainty into explicit assumptions. The agent follows existing project patterns, makes small reversible changes, validates results, and reports its decisions, completed changes, checks, and remaining risks.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Continue implementation while away
- Reduce routine clarification stops
- Review autonomous decisions and validation results
BuilderIO/skills☆ 4.6천2026년 10월 15일 업데이트