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Found 1,861 Skills
CGV, 메가박스, 롯데시네마 영화관 검색, 상영작, 시간표, 잔여석 조회가 필요할 때 사용한다.
Use this skill to benchmark shell commands reliably with warmup runs, statistical summaries, and exportable artifacts using hyperfine.
Pay-per-call access to the Nansen API via MPP (Tempo). Use when a user wants anonymous Nansen access without an API key and without managing their own Base/Solana wallet — they install the tempo CLI separately and call the API through `tempo request`.
Diagnose and fix broken Goldsky Compose apps interactively. Triggers on: compose app in error state, crashlooping, not running, not processing tasks, cron not firing, HTTP trigger returning 500, onchain event listener missing events, wallet errors, gas sponsorship failures, 'No bundler provider available', manifest validation errors, bundling/esbuild failures, secret missing, 'You cannot use a smart wallet in local dev', 'Transaction Receipt failed with status'. Also use when the user mentions a Compose app name alongside a problem, even if they don't say 'compose' explicitly, if they're referring to `goldsky compose` commands (not `goldsky turbo` or `goldsky pipeline`). Runs `status`/`logs`/`secret list`/`wallet list` to identify root cause, and offers fixes. For building a new app from scratch, use /compose instead. For manifest field / CLI flag / API lookups without an active problem, use /compose-reference instead. Do NOT trigger on Turbo or Mirror pipeline problems.
Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows. Use when an agent needs to install, verify, troubleshoot, configure, or operate Open Computer Use through its native CLI, stdio MCP server, or direct Computer Use tool calls.
Battle-tested security checks for AI coding assistants — 29 categories covering OWASP Top 10, CWE Top 25, and ASVS Level 3
Use when user explicitly asks Flink/Ververica/Realtime Compute Console workspace operations: 草稿(draft), SQL校验/执行, 部署(deployment), 作业(job), Session Cluster, namespace, 表(table), 成员(member), 变量(variable), 或 checkpoint timeout 诊断, especially with workspace/deployment/job IDs (w-*, d-*, j-*, sc-*, draft-*). Also use when prompt asks to test/verify Flink Console lifecycle flow, safety guardrails, or parameter validation for these operations. This includes prompts such as create draft, deploy draft, list deployments, start/stop job, create/list session cluster, get tables, list variables. Also use when prompt explicitly asks to run `python scripts/flink_ververica_ops.py` for Flink Console workspace operations. Do not trigger for unrelated "workspace" contexts or generic cloud/platform tasks (ECS, OSS, RDS, Kafka, Spark, Kubernetes, billing, weather). Do not trigger for Flink instance lifecycle operations (create/scale/delete/renew); those belong to alibabacloud-flink-instance-manage.
Use BEFORE `/seeflow` whenever the user phrases the request as inspection rather than creation — "show me", "show the", "how does X work", "what does X do", "diagram our system", "explain the flow", "where does X live", "what handles Y", "what depends on Z", or names a flow by slug/title without an explicit "create / scaffold / generate / add" verb. Also use when onboarding to a repo that already has seeflow flows registered. Read-only — never mutates flows; auto-hands off to `/seeflow` only when no matching flow is registered.
Python patterns for CLI tools, async concurrency, and backend services. Use when working with Python code, building CLI apps, FastAPI services, async with asyncio, background jobs, or configuring uv, ruff, ty, pytest, or pyproject.toml.
Build, explain, and modify @react-three/start apps that use file-based React Three Fiber scene and DOM composition. Use when working in a react-three-start project, when the user mentions @react-three/start, react-three-start, R3F app structure, .scene.tsx/.dom.tsx files, Scene/Dom slots, wrappers, start.config.ts, or the react-three-start/r3s CLI.
Use the viral.app API from an agent with a local CLI for account analytics, tracked videos/accounts, projects, creator hub, and live data operations.
Solve a user-specified web task code-as-action style by driving a local Playwright browser through one bash command at a time, saving screenshots and an action log into `final_runs/run_<id>/`, and visually verifying the result. Use when the user asks to automate a web task (search, filter, form-fill, multi-step flow, data extraction) and wants reusable scripts plus screenshot evidence rather than a one-shot answer.