「red」の検索結果

Use when the user wants each agent response to end with a red/yellow/green status line showing whether the work is finished, pending a follow-up, or blocked on input.

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, validate, and optimize schema.org structured data for eligibility, correctness, and measurable SEO impact.

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。

Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google 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。

Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.

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。

Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps 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。

You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natur

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。

General-purpose browser automation skill. Use when a task needs custom Playwright code — end-to-end testing, scraping a JS-rendered page, or driving a browser interactively — executed via this skill's universal executor rather than a one-off script.

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 evaluate programmatic SEO strategies for creating SEO-driven pages at scale using templates and structured data.

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。

A prototyping skill that generates a local HTML mock with a built-in feedback layer, allowing users to drop visual comments (red dots) for UI fixes.

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。

Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/dify) and industry 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。

Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.

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 facing 2+ independent tasks — "in parallel", "independent tasks", "multiple unrelated failures", "different test files or subsystems" — that can be worked on without shared state or sequential dependencies. Dispatch one agent per independent slice, each with only the context it needs, even when the user did not ask for subagents 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。

Generate a concise and structured PR description from commit history with minimal token usage

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。

Experimental workflow for summarizing work that still needs human judgment across configured pull requests, issues, feedback, errors, and delivery signals. Use for a human decision queue or bounded review.

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 an error occurs (deja fix), when resuming work in a project (deja wip), or when past sessions in this repo matter (deja search). Local, redacted session memory, installed together with memB.

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。

interview the user to design an agentic control loop (sensor, controller, actuator under disturbances) tailored to their codebase, then build it as locally-runnable components plus a scheduled coding-agent 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。

Experimental workflow for collecting and triaging product feedback, product telemetry, runtime errors, and issue reports. Use when scanning configured signal sources and applying separate fix, reply, or close rules.

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。

Experimental workflow for reviewing configured repositories' pull requests. Use for manual or scheduled PR triage, approval, or merge decisions.

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。

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.

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-agent brainstorming: async opinion collision with expert personas. Mixed Codex/Claude Code engine. Use when multiple AI agents need to collaboratively discuss, debate, and converge on solutions through structured dialog. Triggers: brainstorm, multi-perspective discussion, opinion collision, expert debate, war room, collective intelligence, 头脑风暴, 多视角讨论, 集思广益.

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-agent SWE team built on the Workshop model. Full-stack vertical workers, meeting room with @mention notification, private pipes, shared task board. Git worktree isolation, Leader-driven coordination. Mixed Codex/Claude Code engine. Use when a task needs engineering depth beyond a single agent. NOT for simple task parallelism (use agent-task-orchestration) or design discussions (use agent-brainstorm).

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。

Web scraper with SPA/JavaScript rendering, page interaction, and JS execution. Two-tier engine (HTTP → Playwright browser). Smart discovery, batch fetch, interactive content extraction, OpenAPI parsing. Use when read_url_content fails, SPA rendering needed, or page interaction required.

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 yesterday's prompts to surface one technical concept worth understanding, delivered as a concise morning lesson with everyday analogy + engineer vocabulary. Use when "morning lesson", "prompt mirror", "today's learning", "what should I learn", or via scheduled automation each morning.

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 the `rimo` CLI to interact with the Rimo platform — list/read/search meeting notes, transcripts, and documents, ask AI questions across them, and create notes or append markdown sections to them. Trigger when the user mentions Rimo, asks about meeting notes/minutes/transcripts/documents stored in Rimo, or invokes `rimo` directly.

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。