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Publishes a built website or web app (an index.html plus its CSS, JS and images, or a built dist/, build/ or out/ folder) with DropTheHassle on a free HTTPS yourname.dropthehassle.app link, with no account, card or DNS work, then finds an available domain name to go with it. Use when the user says "go live", "make it live", "put this live", "publish my site", "share it with friends", "send my friends a link", "it only works on localhost" or "get a .com", or asks to deploy or host a site built with an AI tool (Claude Code, Cursor, Codex, Windsurf, Lovable, Bolt, v0, ChatGPT), or mentions DropTheHassle, and has not picked another host. Covers building first, CLI or MCP setup, deploying, the claim link, the live check, linking a server part the user hosts on AWS, Google Cloud, DigitalOcean or their own server with set_backend, and domain search. The agent never spends money. The human pays.

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。

Record a decision, document existing code, or file a supplied research material. Modes: document decision (ADR, RFC, or rule), document code (spec, doc, guide, or scenario for existing behavior), document research (only when a finished report or one external material is already in hand). Use for 'we decided', 'record this decision', 'document why we chose X', 'make it our standard', 'draft an RFC', 'should we switch to Y' proposals, 'resolve the RFC', 'we accepted the proposal', 'document the auth module', 'capture how the payment system works', reference material, how-to instructions, or a user flow with examples over an existing spec. Name the type inside the subject to skip the type question. Planning a feature or an intended user journey → /archcore:plan. Checking docs against code or docs health → /archcore: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。

Translate PDF documents with BabelDOC while retaining layout, figures and formulas; supports bilingual output, custom glossaries, domain terminology and local processing with configurable translation providers. Use for translated PDFs, not merely summaries or plain text extraction.

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。

Check that a web page you wrote or changed actually works, by opening it in a browser and driving every control on it. Use after creating or editing an HTML page, or the JavaScript or CSS that a page loads.

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 wants to deal with their inbox — find what needs a response, draft replies, and turn emails into calendar events or reminders. Captures the common email→read→reply→schedule workflow on macOS (Apple Mail, Calendar, Reminders). Powered by LMCP.

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 wants to pull data out of one or more PDFs (invoices, bank/credit-card statements, receipts, reports, tables) and put it into a spreadsheet. pdf_read is one of the most-used tools; this codifies the read-PDF → structure → write-Excel workflow. Powered by LMCP on macOS and Windows.

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 wants to read or search iMessage or Signal (macOS) or Microsoft Teams, Slack and WhatsApp (macOS and Windows) from the apps on their computer. Powered by LMCP.

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 wants to read or search Microsoft Teams or Slack on macOS or Windows, including channels and DMs. Powered by LMCP, reading the desktop apps' local 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。

Use when the user wants to find, read or create files and Office documents (Word/Excel/PowerPoint/PDF) on macOS or Windows, or browse OneDrive / Google Drive. Powered by LMCP; the tools execute on the device.

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 wants to read, search, summarize, draft or triage their Apple Mail / Gmail / Outlook / iCloud email in Apple Mail on macOS. Powered by LMCP's Mail tools, which are macOS-only.

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 "what's on my plate today", "catch me up", "morning brief", or wants a summary of their day across calendar, reminders and email. The single most common multi-step automation. Powered by LMCP on macOS and Windows.

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 wants to check their calendar, find availability, or create/update/delete events in Apple Calendar on macOS. Powered by LMCP's Calendar tools, which are macOS-only.

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。

Coordinate multi-step work across services the user has authorized through Aident Loadout, using live action schemas, connection checks, cost preflight, and explicit approval for side effects.

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 how clueless works, what its commands or levels are, or types /clueless-help.

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 explicitly cannot review the output in the current domain, says they do not understand it or will copy-paste without checking, or requests clueless mode. Examples: "I know nothing about this", "не разбираюсь", "сделай за меня". Brevity, "make it nice", and delegation alone do not establish a knowledge gap.

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 what they are not seeing, what they forgot, what could go wrong, or what an expert would say about a plan, decision, document, code change, or setup they already have. Triggers: "what am I missing", "what don't I know", "poke holes in this", "what would an expert ask", "что я упускаю", "что я не вижу", or /clueless-blindspots. One-shot review; does not change the always-on level.

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。

Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.

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。

项目级上下文工程框架：通过 PROJECT / REQUIREMENTS / ROADMAP / STATE 四层文档 为每个任务建立结构化上下文，控制 token 预算，防止上下文腐烂， 确保跨会话连续性。与 context-lifecycle 的 L0-L3 层互补。

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。

上下文生命周期管理总览：四层记忆架构（L0-L3）、任务阶段感知、 渐进压缩策略、按需召回与四分区预算模型。

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。

C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic 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。

Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

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。

成本感知 LLM 管道，根据任务复杂度选择合适模型， 管理上下文预算，避免在长会话末尾做大型重构。

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 only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.

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。

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

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。