「step」の検索結果

Build AI prompt chains and multi-step workflows for complex tasks. TRIGGERS - Use when user needs help with ai-chain-builder 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。

Design multi-step AI agent architectures with tools, memory, and orchestration. TRIGGERS - Use when user wants to design AI agents, multi-agent systems, or autonomous AI 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。

Use for code generation, feature work, bug fixes, refactoring, and code review when a change creates or reshapes a multi-step flow, state lifecycle, side-effect or decision ownership, cross-unit composition, or boundary contract. Also use it when an existing structural problem makes those elements hard to trace or verify. Structural change is optional. Mechanical edits, throwaway experiments, and coherent local changes stay with their current owner and focused 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。

Use when you have a spec or requirements for a multi-step task, before touching code or producing output. Turns a design into bite-sized, copy-pasteable tasks with exact paths and complete code.

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 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。

Use when building functions that must survive process crashes, retry automatically on failure, run on a schedule, react to events, or maintain state across infrastructure failures — e.g., webhook handlers that drop events, flaky cron jobs, background jobs that fail mid-execution, or workflows that need to resume where they left off. Covers Inngest function configuration, triggers (events, cron, invoke), step execution and memoization, idempotency, cancellation, error handling, retries, logging, and observability.

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。

公司下一步"主工作流：识别问题簇 → 单成员直调 → 唐老收口 → 输出结果卡+唯一下一步。

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。

Control and interact with a live browser session on any scraped page — click buttons, fill forms, navigate flows, and extract data using natural language prompts or code. Use when the user needs to interact with a webpage beyond simple scraping: logging into a site, submitting forms, clicking through pagination, handling infinite scroll, navigating multi-step checkout or wizard flows, or when a regular scrape failed because content is behind JavaScript interaction. Also useful for authenticated scraping via profiles. Triggers on "interact", "click", "fill out the form", "log in to", "sign in", "submit", "paginated", "next page", "infinite scroll", "interact with the page", "navigate to", "open a session", or "scrape failed".

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。

Multi-step content production pipeline that takes a topic or brief and produces a full blog post, email newsletter excerpt, and three social posts — all in your voice. Useful for building a content batch, when repurposing a core idea across formats, during content sprint sessions, and for turning expertise into publishable material. Use when the user says "create content", "content pipeline", "blog to social", "write and repurpose", "content engine", or "create a blog post and social posts".

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。

Takes a repeating task from your work, breaks it into Cowork steps, and builds it into a documented, reusable workflow — optionally turning it into a custom skill. For converting manual repeating tasks into automated systems, when documenting a process for consistent execution, or during a productivity overhaul. Use when the user says "build a workflow", "automate my process", "I do this every week", "create a system", "repeating task", "I keep doing the same thing", or "make this a workflow".

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。

Run an end-to-end GEO visibility measurement through a real AI interface, persist the captures, and return a portable JSON run artifact plus optional PDF/dashboard outputs. Use automatically on an explicit request to measure a brand's AI-search visibility, and as a composable data-collection step inside another agent workflow; the user should not have to launch the pipeline or dashboard manually.

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 the user asks "which SAT should I use for X?", wants the index of Structured Analytic Techniques, or is choosing between quality-of-information-check, ACH, key-assumptions-check, devils-advocacy, indicators of change, etc. Quality of Information Check is the default first step of any diagnostic run.

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。

Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.

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 you have a spec or requirements for a multi-step task, before touching code

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。

Reasoning data lost across agent steps and missing low-confidence fallback Keywords: sqlite, triangulation, escalation, confidence

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。

Agentic workflow patterns for autonomous LLM reasoning. Use when building ReAct agents, implementing reasoning loops, or creating LLMs that plan and execute multi-step tasks.

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Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.

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 and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about Claude Code, Cursor, or similar agent internals (5) want to build agents for business, research, creative, or operational tasks Keywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration

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 autonomously without waiting for hand-holding — complete tasks end-to-end without asking for permission at every 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。

Use when you need to generate an AGENTS.md file for a Java repository — covering project conventions, tech stack, file structure, commands, Git workflow, and contributor boundaries — through a modular, step-based interactive process that adapts to your specific project needs. This should trigger for requests such as Create AGENTS.md; Update AGENTS.md file; Add agent instructions. Part of cursor-rules-java project

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 a task spans multiple steps, files, or unknowns — before planning the order of work, whenever about to report completion or success in any wording, and when picking the next action after a result, failure, or surprise. Also under deadline pressure, or when resuming work built on questionable foundations.

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 you have a spec or requirements for a multi-step task, before touching code

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 and audit PFC 5.0 asphalt dynamic loading and stress-wave studies with damping, timestep, rate, dispersion, source direction, boundary reflection, histories, and wheel-load handoff checks.

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。