Do work in an Upstash Box, a sandboxed cloud container driven through the remote Upstash MCP server (mcp.upstash.com), instead of on the local machine. Use when the user asks to run, build, test, clone, or edit something remotely, in a sandbox, in the cloud, or in a box, when the deliverable is a pull request, a public preview URL, or a screenshot of a running app, when the local machine cannot deliver (no GitHub login for gh, no way to expose a port, a dirty or slow local checkout), when several independent tasks should run in parallel on separate machines, a code factory that turns a list of tasks into a list of pull requests, or when the deliverable is a video, screen recording, demo or timelapse of a browser, web app, terminal program or agent run. Applies whenever the session has the box_* and blob_* MCP tools, even when Upstash is not named.
日本語の概要は準備中です。原文の説明を表示しています。
upstash/skills☆ 312026年10月6日 更新
Work with the @upstash/redis TypeScript/JavaScript SDK, a serverless HTTP-based Redis client for Next.js, Vercel, Cloudflare Workers, edge runtimes, and Node.js. Use when adding a cache (cache-aside, write-through, TTL and expiration strategies), session storage and user sessions, a key-value store, leaderboards and rankings with sorted sets, counters, distributed locks, queues with lists, streams and consumer groups, sparse index-addressed arrays and ring buffers (ARSET, ARINSERT, ARRING, ARGREP, AROP), embeddings and nearest-neighbour vector search stored inside Redis (VECTOR commands via redis.vector, separate from @upstash/vector), JSON documents, pipelines and MULTI/EXEC transactions, Lua scripting, read replicas, or full-text search, typo-tolerant search, facets, aggregations, and search over Redis stream entries with Upstash Redis Search (different from regular FT.SEARCH; also available for TCP clients via @upstash/search-redis and @upstash/search-ioredis). Also use when migrating from ioredis or node-redis, when a Redis connection is needed from a serverless function without connection pooling, when integrating @upstash/ratelimit, or when the user says Redis cache, KV store, session store, serverless Redis, or Upstash Redis. Also use when building AI agents on Redis with Upstash AgentKit (agent memory, chat history, RAG tools, tool caching, chat persistence, resumable streams, distributed locks) for the Vercel AI SDK, TanStack AI, or Vercel Eve. Supports automatic serialization/deserialization of JavaScript types.
日本語の概要は準備中です。原文の説明を表示しています。
upstash/skills☆ 312026年10月6日 更新
Use this skill whenever the user wants to create, improve, rewrite, review, tailor, or ATS-optimize a PRODUCT MANAGER resume or CV. Triggers include any mention of 'PM resume', 'product manager resume', 'product resume', 'PM CV', 'product management CV', plain-language asks like 'create my resume', 'build my CV', 'optimize my resume', 'review my resume', 'make it ATS-friendly', 'tailor my resume to this job description', 'help me get hired', the Spanish terms 'hoja de vida' or 'curriculum vitae', or a request to turn product/PM experience into a resume, quantify product impact, write PM bullet points, or prepare a resume for an APM, PM, Senior, Lead, Group, Director of Product, Head of Product, or CPO application. Also use for AI Product Manager, Growth PM, Platform/Technical PM, and Product Owner resumes. Do NOT use for engineering-only resumes, LinkedIn rewrites, portfolios, or cover letters unless the resume is the main deliverable.
日本語の概要は準備中です。原文の説明を表示しています。
Shehabov/pm-resume-builder-skill☆ 312026年9月8日 更新
Audit mobile applications (iOS and Android) against RAAM 1.1 (Luxembourg Mobile Accessibility Assessment Framework). Use when reviewing existing mobile app code for accessibility compliance, generating audit reports, checking conformance levels, or preparing for Luxembourg accessibility certification. Covers all 15 themes with platform-specific test procedures. Default target: Level AA.
日本語の概要は準備中です。原文の説明を表示しています。
geoffreycrofte/luxembourg-accessibility-skillset☆ 312026年7月20日 更新
Audit web pages and components against RAWeb 1.1 (Luxembourg Web Accessibility Framework). Use when reviewing existing code for accessibility compliance, generating audit reports, checking conformance levels, or preparing for Luxembourg accessibility certification. Covers all 17 themes with systematic test procedures. Default target: Level AA.
日本語の概要は準備中です。原文の説明を表示しています。
geoffreycrofte/luxembourg-accessibility-skillset☆ 312026年7月20日 更新
Use this skill to migrate your Jetpack Compose app to add adaptive edge-to-edge support and troubleshoot common issues. Use this skill to fix UI components (like buttons or lists) that are obscured by or overlapping with the navigation bar or status bar, fix IME insets, and fix system bar legibility.
日本語の概要は準備中です。原文の説明を表示しています。
kabirnayeem99/Ktor2Curl☆ 302026年8月31日 更新
Helps developers integrate, debug, and resolve Play Engage SDK implementation issues. Use when adding Engage SDK support, generating publishing code, mapping data classes to entities, or fixing SDK-related errors.
日本語の概要は準備中です。原文の説明を表示しています。
kabirnayeem99/Ktor2Curl☆ 302026年8月31日 更新
Learn how to install and migrate to Jetpack Navigation 3, and how to implement features and patterns such as deep links, multiple backstacks, scenes (dialogs, bottom sheets, list-detail, two-pane, supporting pane), conditional navigation (such as logged-in navigation vs anonymous), returning results from flows, integration with Hilt, ViewModel, Kotlin, and view interoperability.
日本語の概要は準備中です。原文の説明を表示しています。
kabirnayeem99/Ktor2Curl☆ 302026年8月31日 更新
Calculates CRAP (Change Risk Anti-Patterns) score for .NET methods, classes, or files. Use when the user asks to assess test quality, identify risky untested code, compute CRAP scores, or evaluate whether complex methods have sufficient test coverage. Requires code coverage data (Cobertura XML) and cyclomatic complexity analysis. DO NOT USE FOR: writing tests, general test execution unrelated to coverage/CRAP analysis, or general code coverage reporting without CRAP context.
日本語の概要は準備中です。原文の説明を表示しています。
managedcode/Orleans.RateLimiting☆ 302026年10月11日 更新
Use `graphify-dotnet` to generate codebase knowledge graphs, architecture snapshots, and exportable repository maps from .NET or polyglot source trees, with optional AI-enriched semantic relationships.
日本語の概要は準備中です。原文の説明を表示しています。
managedcode/Orleans.RateLimiting☆ 302026年10月11日 更新
Correct, idiomatic, high-performance JSON encoding and decoding with github.com/go-faster/jx. Use this skill whenever you write or review jx-based Encode/Decode methods, implement JSON marshaling over jx, use jx.Decoder / jx.Encoder / jx.Writer, or encounter questions about jx buffer safety, Capture, pooling, or Writer vs Encoder trade-offs. Also trigger when the file imports "github.com/go-faster/jx" and you are adding or changing any encoding / decoding logic.
日本語の概要は準備中です。原文の説明を表示しています。
gotd/botapi☆ 302026年10月16日 更新
リポジトリの1つの領域をセキュリティ観点で調査し、Codexの批判的レビューを経てレポートを出力する。 codepatrol skillが起動したsubagentが実行する。ユーザーが直接呼び出す事は想定していない。
shokai/agent-skills☆ 302026年10月18日 更新
Run cross-experiment competition strategy synthesis. Invokes the competition-strategist agent which loads daily_reports/* + all SESSION_NOTES.md / claudeSummary.md / submit/SUBMISSIONS.md / KAGGLE_DIRECTION.md in parallel and proposes next moves. Use weekly or at inflection points.
日本語の概要は準備中です。原文の説明を表示しています。
sugupoko/xxxx_kaggle_starterRepository☆ 302026年6月20日 更新
Efficiently accumulate and retrieve competition knowledge in the knowledge/ stock layer (atomic pages + INDEX). Distill reusable insights from the daily-report flow and promote them, deduplicating and keeping things current. Use when an insight emerges, for weekly cleanup, or to recall past knowledge.
日本語の概要は準備中です。原文の説明を表示しています。
sugupoko/xxxx_kaggle_starterRepository☆ 302026年6月20日 更新
TypeScript and JavaScript performance and code-quality rules, usable in any framework. Use when writing, reviewing, or refactoring hot paths, data-structure choices, async flows, or bundle-size-sensitive code. Triggers include "optimize this function", "too slow", "reduce allocations", "bundle size", "lazy load", "speed up imports", or general code review of utilities and services.
日本語の概要は準備中です。原文の説明を表示しています。
PyModel/pythinker-code☆ 292026年10月18日 更新
Invoke only when the user explicitly asks to review code through the "single level of abstraction / layered error handling" lens — a function does only its own layer's business logic while errors are handled above or below. The agent reports detections, raw-count measurements, and move directions. Apply only when the user explicitly requests this lens.
日本語の概要は準備中です。原文の説明を表示しています。
PyModel/pythinker-code☆ 292026年10月18日 更新
Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.
日本語の概要は準備中です。原文の説明を表示しています。
PyModel/pythinker-code☆ 292026年10月18日 更新
Use when developing in packages/agent-core-v2 (the DI × Scope agent engine) — adding or modifying a domain Service, choosing a LifecycleScope, wiring DI dependencies, splitting a domain across scopes, owning or migrating a config section, gating behavior behind an experimental flag, raising coded errors, working on the permission system, writing DI/Scope tests, porting business logic from agent-core (v1) to v2, triaging a main-branch commit against v2, or exposing a v2 domain over server-v2 while keeping the /api/v1 wire contract compatible with released clients. Self-contained guide organized by development stage (orient → design → implement → test → verify) plus align workflows for v1→v2 migration, main-branch commit triage, and server-v2 wire exposure; each file carries the rules, examples, and red lines for its step.
日本語の概要は準備中です。原文の説明を表示しています。
PyModel/pythinker-code☆ 292026年10月18日 更新
Three-phase code review. Investigates internally, verifies findings, then reports only confirmed issues.
日本語の概要は準備中です。原文の説明を表示しています。
simonepri/ifttt-lint☆ 292026年9月29日 更新
Build Solana trading and intelligence applications combining OKX DEX aggregation with Helius infrastructure. Integration-only layer — describes when and how to compose OKX tools with Helius tools for swaps, token discovery, smart money signals, meme token analysis, and portfolio intelligence.
日本語の概要は準備中です。原文の説明を表示しています。
helius-labs/core-ai☆ 292026年10月18日 更新
Build Solana trading and intelligence applications combining OKX DEX aggregation with Helius infrastructure. Integration-only layer — describes when and how to compose OKX tools with Helius tools for swaps, token discovery, smart money signals, meme token analysis, and portfolio intelligence.
日本語の概要は準備中です。原文の説明を表示しています。
helius-labs/core-ai☆ 292026年10月18日 更新
Use this skill when the user wants local Obsidian note or metadata work done primarily through documented official desktop `obsidian` CLI commands, with limited local vault filesystem support when needed for parent folders, path checks, ambiguity resolution, verification, or safe vault structure operations. Best for local vault search, note reads, exact-path note updates, backlinks, tasks, properties, templates, and local history. Do not use it for runtime admin, devtools diagnostics, workspace/navigation administration, community tools, `obsidian://` launcher tasks, Headless Sync or Publish workflows, or plugin-specific APIs.
日本語の概要は準備中です。原文の説明を表示しています。
greg-asher/codex-obsidian☆ 292026年4月22日 更新
Use when upgrading an existing TypeScript codebase from Inngest SDK v3 to v4, or when fixing mixed v3/v4 API usage. Covers detecting current SDK usage, moving triggers into createFunction options, replacing EventSchemas with eventType/staticSchema, moving serve options to the client, updating realtime imports, rewriting step.invoke string IDs, checkpointing/serverless runtime settings, Connect option changes, and verification.
日本語の概要は準備中です。原文の説明を表示しています。
inngest/inngest-skills☆ 292026年9月29日 更新
Use when handling external API rate limits (e.g., OpenAI 429s, HubSpot or Stripe rate limits), preventing duplicate work from rapid event bursts (debouncing user actions), spreading load over time, ensuring per-tenant fairness, processing events in batches, limiting concurrent runs of the same operation, or assigning priority to important runs. Covers Inngest flow control: concurrency limits with keys, throttling, rate limiting, debounce, priority, singleton, and event batching.
日本語の概要は準備中です。原文の説明を表示しています。
inngest/inngest-skills☆ 292026年9月29日 更新