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☆ 282026年9月29日 更新
Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.
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。
VoDaiLocz/kilo-kit-mcp☆ 272026年9月13日 更新
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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。
VoDaiLocz/kilo-kit-mcp☆ 272026年9月13日 更新
Build modern full-stack web applications with Next.js (App Router, Server Components, RSC, PPR, SSR, SSG, ISR), Turborepo (monorepo management, task pipelines, remote caching, parallel execution), and RemixIcon (3100+ SVG icons in outlined/filled styles). Use when creating React applications, implementing server-side rendering, setting up monorepos with multiple packages, optimizing build performance and caching strategies, adding icon libraries, managing shared dependencies, or working with TypeScript full-stack projects.
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。
VoDaiLocz/kilo-kit-mcp☆ 272026年9月13日 更新
Use when integrating or optimizing Model Context Protocol (MCP) servers and clients. Keywords: MCP, Model Context Protocol, tool discovery, lazy loading, sampling, resource subscription, MCP server.
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。
VoDaiLocz/kilo-kit-mcp☆ 272026年9月13日 更新
Intercepts and analyzes HTTP/HTTPS traffic from mobile applications using Burp Suite proxy to identify insecure API communications, authentication flaws, data leakage, and server-side vulnerabilities. Use when performing mobile application penetration testing, assessing API security, or evaluating client-server communication patterns. Activates for requests involving mobile traffic interception, Burp Suite mobile proxy, API security testing, or mobile HTTPS analysis.
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。
galyarderlabs/galyarder-framework☆ 262026年10月11日 更新
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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。
shajith003/awesome-claude-skills☆ 252026年10月13日 更新
Identify and exploit Server-Side Template Injection (SSTI) vulnerabilities within web applications. Use this skill when testing web applications that render dynamic content using template engines like Jinja2 (Python), Twig (PHP), Freemarker (Java), or Pug (Node.js). Covers identification via mathematical evaluation, context mapping, escaping sandboxes, and achieving Remote Code Execution (RCE).
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。
ShulkwiSEC/bb-huge☆ 242026年7月11日 更新
SSTI playbook. Use when template expressions, server-side rendering, preview features, or templating engines may evaluate attacker-controlled content.
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。
ShulkwiSEC/bb-huge☆ 242026年7月11日 更新
Server-Side Request Forgery (SSRF) occurs when user-controlled input is used to construct URLs that the server fetches, enabling access to internal services, cloud metadata endpoints (169.254.169.254), and local files via `file://` scheme. Detect via parameters accepting URLs or hostnames, PDF/report generators rendering `<iframe>/<img>/<script>`, and blind SSRF via out-of-band DNS callbacks. Bypass filters using IP decimal/octal/hex encoding, URL-userinfo tricks, and URL fragments. Tools: Burp Collaborator, curl.
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。
ShulkwiSEC/bb-huge☆ 242026年7月11日 更新
SSRF playbook. Use when the server fetches URLs, resolves hostnames, imports remote content, or can be driven toward internal networks, cloud metadata, or secondary protocols.
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。
ShulkwiSEC/bb-huge☆ 242026年7月11日 更新
Logs the outcome of a skill execution to observations/<skill-name>/runs.md. Trigger on: "log this run", "skill worked", "skill failed", "this didn't work", "log the outcome", "record this", "note that", or after any skill completes with a clear success, partial, or failure outcome. Creates the observations file if it does not exist, then appends an entry with date, task description, skill used, outcome, what worked, what failed, and any error messages observed.
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。
ShulkwiSEC/bb-huge☆ 242026年7月11日 更新
Use when building Python async HTTP services or clients with aiohttp - web server routing, middleware, WebSocket, SSE, streaming, client sessions, pytest-aiohttp testing, or troubleshooting SSL and timeout 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。
CodeAtCode/oss-ai-skills☆ 242026年10月9日 更新
React Query server state — query keys and query options, caching policy, error handling, and typed clients generated from an API schema
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。
agents-inc/skills☆ 242026年9月8日 更新
Next.js App Router patterns (15-16) - file-based routing, Server/Client Components, streaming, Suspense, metadata API, parallel routes, Server Actions, mutations, revalidation, Cache Components
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。
agents-inc/skills☆ 242026年9月8日 更新
Server-Sent Events for unidirectional server-to-client streaming, EventSource API, fetch streaming, reconnection patterns, message parsing
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。
agents-inc/skills☆ 242026年9月8日 更新
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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。
eigent-ai/agent-skills☆ 242026年10月14日 更新
Wire Prisma Next into the project's build system with the right build-tool plugin — Vite today via @prisma-next/vite-plugin-contract-emit (Vite 7 / 8); Next.js / Webpack / esbuild / Rollup / Turbopack are named as gaps rather than fabricated. Always offers the Vite plugin proactively when the project is using Vite. Use for vite plugin, vite-plugin, vite.config.ts, prismaVitePlugin, contract emit on save, HMR, hot reload contract, dev server, Next.js plugin, next plugin, withPrismaNext, webpack plugin, esbuild plugin, rollup plugin, build integration, dev server plugin, vite 7, vite 8.
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。
prisma/open-chat☆ 232026年7月23日 更新
Profiles a threat actor by aggregating observed ATT&CK techniques into a TTP profile and comparing it against known-group technique sets to estimate similarity and candidate attribution. Activates for requests to profile a threat actor, compare observed TTPs to known groups, or estimate attribution from technique overlap.
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。
meltedinhex/analyst-ai-pack☆ 222026年7月7日 更新
Analyzes suspected webshells (PHP, ASPX/ASP, JSP) by detecting dynamic-execution sinks, input-to-sink data flow, and common encoder/obfuscation chains, then decoding obvious layers to reveal the command interface. Activates for requests to analyze a webshell, identify a PHP/ASPX/JSP backdoor, or deobfuscate server-side malicious scripts.
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。
meltedinhex/analyst-ai-pack☆ 222026年7月7日 更新
Full-funnel paid advertising operations for B2B SaaS. Use this skill for PPC strategy, Google Ads optimization, LinkedIn Ads, social media advertising, programmatic buying, creative strategy, attribution modeling, budget allocation, budget pacing and planned-vs-delivered reconciliation, audience overlap and campaign self-competition audits, suppression lists, ROAS improvement, media spend optimization, and the media no auction sells — newsletter and podcast sponsorships, community and industry-publication placements, paid review-site listings on G2 and Capterra, and pay-per-lead content syndication. It also covers buying on the AI answer surface — ads inside Google AI Overviews and AI Mode that existing Search, Shopping and Performance Max campaigns already serve into with no opt-out, no placement targeting and no segmented reporting, and ChatGPT Ads and Microsoft Copilot as separate opt-in platforms with their own plan-tier reach limits, no negative keywords, and a landing-page crawler gate. It also owns the conversion signal the bidding algorithms learn from — CRM pipeline stages (SQL, opportunity, closed-won) sent back to Google Ads, LinkedIn, Meta and Microsoft Ads through offline conversion import, enhanced conversions for leads, the Google Data Manager API and the LinkedIn Conversions API, with click-ID capture, stage values, dedupe, EEA consent signals and retractions. It also gates connected TV (CTV) and streaming video for B2B — whether a reach medium belongs in the plan, how a vendor ties a TV household to a target account (member data, IP-to-account graph or contextual), the server-side ad insertion (SSAI) fraud questions, Programmatic Guaranteed deals, and a holdout lift test because CTV has no click. It also runs person-led paid social — LinkedIn Thought Leader Ads and Meta partnership ads that put spend behind an employee's or creator's post — on a paid-usage term, an in-post disclosure check and an end-date register, because the platform approval carries no term. Also triggers on: CTV, connected TV, OTT, streaming TV ads, should we run CTV, LinkedIn CTV, B2B CTV, account-based CTV, SSAI fraud, thought leader ads, boost an employee's post, sponsor a creator's post, partnership ads, whitelisting, creator usage rights, PPC, Google Ads, LinkedIn Ads, social ads, programmatic, ad creative, attribution, media budget, paid campaigns, ROAS, CPA, ad spend, newsletter sponsorship, podcast sponsorship, community sponsorship, sponsor a newsletter, content syndication, pay-per-lead, cost per lead vendor, media kit, rate card, insertion order, direct buy, publisher partnership, make-good, G2 paid listing, Capterra ads, review site advertising, sponsorship ROI, budget pacing, we underspent our budget, are our campaigns competing with each other, audience overlap, self-competition, campaign cannibalization, suppression list, exclusion list, ad frequency across channels, how many ad accounts do we have, ads in AI Overviews, AI Mode ads, ChatGPT Ads, OpenAI Ads Manager, Copilot ads, conversational ads, should we advertise on ChatGPT, can we buy our way into the AI answer, our ads are showing in AI Overviews and we cannot report on it, context hints, OAI-AdsBot, our ad landing page fails review, robots.txt is blocking our ads, our paid leads are junk, Google Ads is optimizing for the wrong leads, offline conversion import, OCI, enhanced conversions for leads, send CRM stages back to Google Ads, upload SQLs to LinkedIn, LinkedIn Conversions API, LinkedIn CAPI, Meta conversion leads, CRM to ad platform, gclid, li_fat_id, msclkid, value-based bidding, optimize for pipeline not form fills, low match rate, conversion lag.
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。
shalintripathi/saas-marketing-agents☆ 222026年10月14日 更新
Unity 6 multiplayer and networking guide. Use when building multiplayer games, working with Netcode for GameObjects, NetworkManager, NetworkObject, NetworkBehaviour, RPCs (ServerRpc, ClientRpc), NetworkVariables, or Unity multiplayer services (Relay, Lobby). Covers client-server architecture, state synchronization, and scene management. Based on Unity 6.3 LTS documentation.
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。
IdoCohen560/claude-unity-game-studio☆ 222026年7月8日 更新
Use when creating or reviewing Next.js 14+ App Router projects, file routes, layouts, server/client component boundaries, SSR/SSG/ISR, streaming, metadata, middleware, server actions, or Next-specific data fetching. For generic client React component architecture, apply the project's React conventions separately; Chinese triggers include Next.js, App Router.
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。
bovinphang/frontend-craft☆ 222026年9月26日 更新
Use when a task needs the judgment of an Actuary — estimating unpaid claim reserves with chain-ladder or Bornhuetter-Ferguson methods, building or reviewing a rate indication from loss experience, applying credibility weighting to thin or volatile data, drafting a statement of actuarial opinion, or diagnosing whether a reserve or pricing assumption has stopped matching reality.
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。
wonsukchoi/domain-experts☆ 212026年10月12日 更新