「what」の検索結果

Add image vision to NanoClaw agents. Resizes and processes WhatsApp image attachments, then sends them to Claude as multimodal content blocks.

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。

Add Slack as a channel. Can replace WhatsApp entirely or run alongside it. Uses Socket Mode (no public URL needed).

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。

Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.

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。

Convert Claude's Markdown output to each channel's native text syntax before delivery. Adds zero-dependency formatting for WhatsApp, Telegram, and Slack (marker substitution). Also ships a Signal rich-text helper (parseSignalStyles) used by the Signal skill.

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。

Add WhatsApp emoji reaction support — receive, send, store, and search reactions.

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。

Add new capabilities or modify NanoClaw behavior. Use when user wants to add channels (Telegram, Slack, email input), change triggers, add integrations, modify the router, or make any other customizations. This is an interactive skill that asks questions to understand what the user wants.

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。

Add PDF reading to NanoClaw agents. Extracts text from PDFs via pdftotext CLI. Handles WhatsApp attachments, URLs, and local files.

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。

Add Gmail integration to NanoClaw. Can be configured as a tool (agent reads/sends emails when triggered from WhatsApp) or as a full channel (emails can trigger the agent, schedule tasks, and receive replies). Guides through GCP OAuth setup and implements the integration.

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。

Add WhatsApp as a channel. Can replace other channels entirely or run alongside them. Uses QR code or pairing code for authentication.

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。

Compose a categorical news-roundup newsletter from Ahmad's OpenMark saves. Use when Ahmad wants a scannable "what happened in AI / tools / research / discourse" recap rather than a single-thesis essay. Trigger phrases include "roundup", "news roundup", "this week in AI", "weekly news", "what dropped this week", "category recap", "/newsletter-roundup". Output is bucketed by topic with 3–5 items per bucket, short blurbs, source-tagged for at-a-glance scanning.

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。

Find niches, topics, audiences, products, channels, and content angles via deep web search. Use whenever Ahmad says "find me a niche", "hunt niches in X", "what's an underserved audience for Y", "find similar sites/videos to <example>", "research the X market", "what are people building in Y space", "/niche-hunter X", or any phrasing that asks for niche / market / topic / audience / product / channel discovery across the open web. Trusts domain + keyword search; chains web_search → web_fetch / web_extract / web_crawl + reddit_search + search_youtube + github_repo_intel. NEVER uses awesome-list shortcuts. Output shape is FLEXIBLE — list, table, report, suggestions, or normal prose — picked from how Ahmad phrased the ask.

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-angle deep-research workflow over Ahmad's OpenMark knowledge graph (13k+ bookmarks). Use whenever Ahmad asks anything that requires more than one search to answer well — "what's the landscape of X in my saves", "do a deep dive on Y", "research X across my bookmarks", "compare what I saved about X vs Y", "give me everything on X". Also use when fast-search returned thin results and Ahmad pushed back ("dig deeper", "more results", "actually research it"). Pairs Neo4j graph search with WebFetch on top picks to bring back fresh page content. Triggers on "deep research", "dig deeper", "research", "landscape", "everything on", "thorough", "comprehensive".

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。

Quick one-shot lookup over Ahmad's OpenMark bookmark knowledge graph (15k+ items from Edge, LinkedIn, YouTube, Raindrop). Use whenever Ahmad asks "find my bookmarks on X", "what did I save about X", "anything in OpenMark about X", or any single-topic search where he wants results in under 10 seconds. NOT for newsletter drafting or deep research — for those use openmark-deep-research or openmark-newsletter. Triggers on "find my", "what did I save", "openmark", "my bookmarks", "search bookmarks".

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 the prototyping lab itself — where runs live, what a run is, how to promote a run into the checked example library, and how to add a new runtime (Processing in Rust, Cinder) in one module. Use when asked to add a language or framework to the lab, to turn a prototype into a reusable example, to find or tidy what is in the lab, or when the lab's folder or catalog needs explaining.

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。

Send WhatsApp messages to other people or search/sync WhatsApp history via the wacli CLI (not for normal user chats).

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。

Find the answer in the SuperCollider documentation that ships with the install instead of guessing - what sc_help's search, answer, class and index actions return, what the .schelp tree looks like (over a thousand files: Classes, Guides, Reference, Overviews), how to read a class page for its argument names, and where the server's OSC commands are written down.

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 SuperCollider projects as files - the shape of a .scd piece, how to read and write one with sc_project, how to send the file that is on disk into the live session with sc_load, what state belongs in the session and what belongs in the file, and how to package a piece the SuperCollider way (a folder with its .scd, its SynthDefs, and a Quark-style layout) instead of inventing a format.

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。

Report what is genuinely new in the last 30 days on a topic, by slicing locally collected nightly channel databases with no live crawling. Run it before a strategic decision, as the fresh-signal feed for the gap phase. Triggers: "/last30days <topic>", "trendwatch <topic>", "what changed last 30 days on X".

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。

Track and collect promises: every promise, theirs to us and ours to them, goes into a registry with date and source, gets a reminder when due and is closed with evidence. Triggers: /promises, log this promise, who promised us what, what did we promise, overdue promises, promise tracker.

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。

Look up the registry of declined and deferred decisions, so the same idea is never re-pitched: what was rejected, why, and under what condition to revisit. Read-only, and can also run the detector for new rejections in recent sessions. Triggers: "/declined", "did we reject this before".

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。

Show the operator's day: today's calendar plus what needs them personally (leads due, people awaiting a reply, deadlines), pulled from Calendar and Telegram and ranked. Read-only: sends and commits nothing. Triggers: "/agenda", "what's on today", "my agenda".

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。

Ask the second brain in plain words: semantic search over the curated vault with embeddings plus a reranker, returning the smallest relevant slice instead of a corpus dump. Token-cheap. Triggers: "/ask <question>", "what do I have on <topic>", "what did I write about X".

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 a daily accountability loop grounded in the owner's identity layer in the vault: a morning kick (mirror, one rock for the day, known-pitfall guard) or an evening review (what moved, what slipped, tomorrow's rock). Triggers: "/coach", "morning review", "evening review", "keep me on track".

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。

システムログを分析してエラーの根本原因を特定し、段階的に深堀りしていくデバッグ専門家スキル。 アプリケーションログ、システムログ、クラウドサービスログなど様々な形式に対応。 5 Whys、タイムライン分析、Fishbone分析などのRCA（根本原因分析）手法を用いて 問題の本質を突き止め、再発防止策まで提案する。 Use when analyzing system logs to find error root causes, debugging application issues, or performing technical post-mortem analysis with log data. For organizational incident management processes (post-incident review, corrective action plans, incident reports without log data), use incident-rca-specialist instead. Triggers: "analyze this log", "find the root cause", "debug this error", "why is this failing", "log analysis", "what caused this crash", "troubleshoot this issue"