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概要と使いどころ
Integrate ManagedCode.Orleans.Graph into an Orleans-based .NET application for graph-oriented relationships, edge management, and traversal logic on top of Orleans grains. Use when the application models graph structures in a distributed Orleans system.
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。
Use ManagedCode.Orleans.SignalR when a distributed .NET application needs Orleans-based coordination of SignalR real-time messaging, hub delivery, and grain-driven push flows.
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。
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。
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。
Work with the @upstash/qstash TypeScript/JavaScript SDK, an HTTP-based message queue, task scheduler, and background job system for serverless and edge runtimes (Next.js, Vercel, Cloudflare Workers, Deno, Node.js). Use when publishing messages to HTTP endpoints or URL groups, running background jobs without a long-running worker process, scheduling with cron expressions, delaying messages, building FIFO queues with parallelism and flow control, configuring retries and callbacks, handling a dead letter queue (DLQ), deduplicating messages, fanning out to multiple endpoints, verifying QStash webhook signatures (Next.js App Router, Pages Router, and Edge Runtime), running a local QStash dev server, or migrating regions. Also use when the user asks for a serverless cron job, async task queue, job scheduler, delayed delivery, webhook delivery with retries, or event-driven messaging between 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。
Design account-based marketing strategies with targeting. TRIGGERS - Use when user needs help with abm-strategy 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。
Efficiently extract and convert the contents of any local file—such as PDF, DOCX, DOC, ODT, RTF, XLSX, XLS, or HTML—into clean, well-formatted markdown saved to disk. Use this skill whenever the user requests to parse, read, or extract information from a file on their computer, including phrases like “parse this PDF”, “convert this document”, “read this file”, “extract text from”, or when a local file path (not a URL) is provided. This skill offers advanced options like generating AI-powered summaries and answering questions based on the file's content. Prefer this tool over `scrape` when handling local files to deliver precise, structured outputs for downstream 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。
Use when building, migrating, or debugging Agent Evals on Inngest: scoring AI agent or workflow outcomes, deferred scorers, sessions, traces, step experiments, experiment variant attribution, Insights queries, or production eval loops for prompts, models, tools, providers, and agent behavior. Covers TypeScript SDK v4 scoring beta APIs, `scoreMiddleware`, `step.score`, `inngest.score`, `createScorer`, `defer`, `group.experiment`, `experimentRef`, `meta.sessions`, and when to use durable workflow primitives for outcome-based evaluation.
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。
Use when building durable AI agents or agentic workflows with Inngest and AgentKit, including model calls, tool calls, multi-agent networks, human approval, realtime progress, provider rate limits, crash-safe execution, and Agent Evals handoff. Covers AgentKit, `step.ai`, `step.run`, `step.waitForEvent`, native realtime, and when to use lower-level Inngest primitives instead of an in-memory agent loop. Use `inngest-agent-evals` with this skill when the user wants scoring, sessions, experiments, deferred scorers, or outcome-based evaluation for the agent.
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。
万能复刻 / universal website copy-remix workflow with evidence-based reference recon. Use when the user wants to copy, clone, recreate, remix, migrate, or rebuild any reference website's look, interaction feel, scroll rhythm, hero motion, layout structure, visual system, deployed static assets, or landing-page experience into a new website. Trigger for requests like 万能复刻, 万能网站复制, 复刻官网, 一比一复刻, 授权复制, 高仿但换产品, 参考某官网做自己的官网, RMUX 风格, Linear/Raycast/Apple/Vercel 风格迁移, hero 动效复刻, 滚动体验复刻, 官网换皮重构, 网站侦察, 复刻验收, WebGL/Canvas/Three.js 效果还原.
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。
Appwrite TypeScript SDK skill. Use when building browser-based JavaScript/TypeScript apps, React Native mobile apps, or server-side Node.js/Deno backends with Appwrite. Covers client-side auth (email, OAuth, anonymous), database queries, file uploads, real-time subscriptions, and server-side admin via API keys for user management, database administration, storage, and functions.
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。
Elasticsearch provider for obz. Supports log search and trace operations using Elasticsearch Query DSL (Lucene-based). Requires --index flag. This skill should be used when the user mentions "Elasticsearch", "obz -p es", or needs to search logs or traces from an Elasticsearch cluster.
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。
Grafana Loki provider for obz. Covers log search using LogQL, a label-based query language for log aggregation. This skill should be used when the user mentions "Loki", "Grafana Loki", "LogQL", "obz log search -p loki", or needs to search logs from a Loki instance.
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。
OpenSearch provider for obz. Supports log search and trace operations using Lucene-based query syntax. Requires --index flag. This skill should be used when the user mentions "OpenSearch", "obz -p os", or needs to search logs or traces from an OpenSearch cluster.
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。
Evaluate architecture and module boundaries for volatility-based decomposition using Juval Lowy's framework (from "Righting Software", building on Parnas 1972). Use when reviewing module splits, service boundaries, new abstractions, or any decomposition decision. Trigger on phrases like "where should this boundary be", "how to split this", "module boundaries", "encapsulate change", "volatility", or references to Lowy, Parnas, or "Righting Software". Complements /hickey (interleaved concerns) with a different lens (change encapsulation).
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。
Conventions for writing justfile recipes in Nix-based 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。
Implement a piece of work based on a spec or set of tickets.
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。
Pull latest origin/main into the current local branch and resolve merge conflicts (aka update-branch). Use when Codex needs to sync a feature branch with origin, perform a merge-based update (not rebase), and guide conflict resolution best practices.
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。
Pull the latest remote base branch into the current local branch and resolve merge conflicts (aka update-branch). Use when the agent needs to sync a feature branch with origin, perform a merge-based update (not rebase), and guide conflict resolution best practices.
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。
AST-based outline director for human-centered AI presentation workflows. Use before generating PPT/HTML slides from raw material.
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。
On-demand journal peer review simulation expert — supports 7 research paradigms (experimental/computational/empirical_survey/interpretive/mixed_methods/systematic_review/interdisciplinary) with 6-step review workflow, outputting targeted revision suggestions based on journal-specific review standards.
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。
Monetization and pricing strategy specialist. Use this agent to design revenue models, set price points based on value perception, and create compounding referral loops. It focuses on the "Cuan" (Revenue) aspect of the 1-Man Army pipeline.
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。
Recover deleted files from disk images and storage media using PhotoRec's file signature-based carving engine regardless of file system damage.
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。
Maps observed adversary behaviors, security alerts, and detection rules to MITRE ATT&CK techniques and sub-techniques to quantify detection coverage and guide control prioritization. Use when building an ATT&CK-based coverage heatmap, tagging SIEM alerts with technique IDs, aligning security controls to adversary playbooks, or reporting threat exposure to executives. Activates for requests involving ATT&CK Navigator, Sigma rules, MITRE D3FEND, or coverage gap 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。