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概要と使いどころ
Add PostHog product analytics events to track user behavior. Use after implementing new features or reviewing PRs to ensure meaningful user actions are captured. Also handles initial PostHog SDK setup if not yet installed.
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。
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
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。
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
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。
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
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。
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
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。
Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.
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。
Authors portable, strongly-typed bioinformatics pipelines in the Common Workflow Language (CWL v1.2) as CommandLineTool/Workflow/ExpressionTool documents, validated with cwltool and run at scale on Toil/Arvados/Calrissian. Use when deciding CWL (portability/provenance/regulated) vs Nextflow/WDL/Snakemake; declaring secondaryFiles for indexed companions (.bai/.fai/.dict/.tbi and the caret rule); putting resources/containers under requirements (must-hold) vs hints (advisory) to avoid silent OOM; choosing scatterMethod (dotproduct vs flat_/nested_crossproduct); preferring $(...) parameter refs over ${...} JavaScript for portability; pinning DockerRequirement images; or emitting a CWLProv provenance object for audited/clinical settings.
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。
Analyze Chronote product adoption with PostHog and Langfuse, including active users, meetings, feature usage, AI telemetry, and privacy-safe resolution of active Discord guild IDs to live server names.
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。
Product manager for PRD creation and requirements discovery. Use when the user asks to talk to Nicole or requests the product manager.
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。
Create, update, or validate a product brief. Use when the user wants help producing, editing, or validating a brief.
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。
Promote QA → production by opening a PR from peterdrier/Humans:main to nobodies-collective/Humans:main with a properly-qualified commit summary. Use when the user says "PR to production", "promote to prod", "PR from origin to upstream", "prod PR", or any variation of pushing batched fork changes upstream. Always use this skill for the two-remote promotion flow even if the user doesn't say "prod" explicitly.
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。
Builds production-quality, accessible, responsive user-facing UIs. Use when building or modifying interfaces and pages, creating components, implementing layouts, meeting WCAG accessibility requirements, managing state, or when the output needs to look and feel production-quality rather than AI-generated.
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。
Produce accessible videos. TRIGGERS - Use when user needs help with accessible-video-production related tasks.
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。
Remove the background from a product photo using AI-powered segmentation.
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。
Resize, enhance, and compress a product photo for an e-commerce listing with consistent quality.
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。
AI-powered subject-aware crop that centers on the product regardless of its position in the frame.
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。
Generate a professional product specification sheet with images, feature tables, technical specs, and contact information.
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。
Generate a product listing image with photo, price badge, and promotional text overlay.
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。
Optimize a product photo and compose it into a promotional banner with sale text and pricing.
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。
Generate a branded product slide image with headline, feature pills, and a call-to-action — all arranged with layout layers.
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。
Extract product name, SKU, price, and specifications from a catalog document into structured JSON for e-commerce workflows.
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。
TanStack Start (TanStack Router ベースのフルスタック React フレームワーク、 @tanstack/react-start) の API リファレンス。Next.js とは別フレームワーク。 createServerFn (validator / handler), createMiddleware, server routes, createServerOnlyFn / createIsomorphicFn、SSR / selective SSR / SPA mode / static prerendering / ISR、streaming、hydration、server entry / client entry、 TanStack Query 連携 (setupRouterSsrQueryIntegration)、RC → stable 移行、 hosting (Cloudflare Workers / Netlify / Vercel / Node / Bun / Docker)、 production checklist、authentication / session、Tailwind、SEO、 environment variables。ルーティングは tanstack-router スキルを参照。
OpenAI API (developers.openai.com) の運用・管理リファレンス。 Administration API, admin API keys, RBAC, roles, groups, invites, projects, spend limits, audit logs, usage / costs API, Terraform provider (openai/openai), workload identity federation (WIF, OIDC / SPIFFE / X.509 / Idira), moderation API, misalignment monitoring, safety alerts / cases, safety best practices, under-18 guidance, ZDR Private Safety Processing (PSP), production best practices, deployment checklist, cost / latency optimization, fast / ultrafast mode, Realtime API costs。 rate limits・error handling・prompt caching・webhooks は openai-api-core、Codex WIF・管理は openai-codex。
Apple アプリサービス。StoreKit 2 / CloudKit / WidgetKit / ActivityKit / User Notifications / Core Location / MapKit / HealthKit / Sign in with Apple。 Product, Transaction, RequestReviewAction, CKRecord, CKUserIdentity, Widget, TimelineProvider, UNUserNotificationCenter, CLLocationManager, CLServiceSession, Map, MKGeocodingRequest, HKHealthStore, ASAuthorizationController, AuthorizationController。