データ分析、機械学習、LLMアプリ、プロンプト設計（8,835 件）
概要と使いどころ
Run the vault data-safety runbook: 3-2-1 backup, the never-deleted originals archive, the schedulers that keep it running, and the restore or new-machine migration procedure. Verifies by reading state rather than trusting exit codes. Triggers: "make a backup", "verify the backup", "the backup looks broken", "restore the vault".
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 a 'Read with AI' widget under published content: a copy-the-prompt button plus deep links that open the material already loaded into an agent (Codex, ChatGPT, Claude). Triggers: /read-with-ai, read with AI buttons, add AI buttons, widget under the article.
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。
Protocol for two LLM agents (Claude, Codex or any other) to agree and work from one shared folder: message format, channels, roles, evidence rules, wake-up alarm and anti-patterns. Triggers: /llm-pact, agree with codex, connect a second agent, pair rules, agent consensus, two-agent protocol.
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。
Mine any Telegram channel or chat for signal in one command: incremental zero-token scrape, deterministic detector shortlist, LLM judge for what is genuinely valuable to this owner, then linked vault notes, a database row, a map-of-content entry and reindex. Triggers: "/mine-channel <@channel|id>", "alpha from <channel>".
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。
Answer 'what happened on that day' instantly from a daily ledger that night robots assemble from free traces (git commits, session logs, vault writes, bus messages), with zero LLM tokens spent on retrieval. Use when asked what was done yesterday, on a given date or during a week. Triggers: /ledger, what did we do yesterday, what happened on <date>, show the day, daily summary.
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。
- МУЛЬТИКАНАЛЬНАЯ ЛЕСТНИЦА КАСАНИЙ к DevRel/research-людям топ-LLM лабов: 1 прицельный человек = 1 вендор, касания идут по 2-3 каналам, а не одним DM в пустоту. Триггеры: “/devrel-wave“, “аутрич деврелу“, “напиши деврелу“, “мультиканальный аутрич“, “следующий вендор по людям“, “кому пишем из лабов“, “devrel outreach“
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。
Наполнение пула ИНЖЕНЕРОВ-ТЕСТЕРОВ под миссию №2 из живых issue вендорских и агентных репо (не из крипто-базы leads.db). Триггеры: «/engineer-pool», «/ep», «где брать инженеров», «пул инженеров», «кому давать демо», «инженеров в выборке ноль», «наполни пул тестеров», «engineer pool», а также САМ, когда отчёт очереди touchbase печатает «инженеров из LLM-лабораторий в выборке: 0»
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。
Write a self-contained handoff document so another session, person or machine continues the work without this session's context: decisions and why, what is done and tested, exact paths and values, open blockers, boundaries, and an explicit continue-from-here step. Lands in a synced folder with a short seed prompt. Triggers: "/handoff", "prepare a handoff", "hand this off".
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 people-search aggregators and primary public records to find addresses, phone numbers, relatives, age and background on a person, and to audit and remove your own exposure. Use when running a people search or reverse address lookup, tracing a debtor or missing person, building a subject's address history, or removing yourself from broker sites
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Fan one deep-research prompt out to several external LLMs at once through a logged-in browser, then collect the reports, archive the originals and synthesize a consensus. Use at the final stage of a research protocol, instead of hand-pasting one prompt into N sites. Triggers: "/dr-fanout", "fan out the DR", "distribute the research prompt".
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。
Onboard a new machine as a receive-only follower on a multi-machine agent network: it reads the shared vault, canon, skills and memory, runs nothing heavy locally (no RAG, reindex or GPU), and never receives executable hooks from the hub. Checklist-driven, with a verify step at each stage. Triggers: "/follower-onboard <machine>".
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 internet-exposed hosts, ports, services and devices using third-party internet-scan data instead of touching the target. Use when asked what a company has exposed to the internet, to check open ports on an IP or netblock, or to write a Shodan filter query
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。
Import a GitBook space (company docs, a whitepaper) into an Obsidian vault as linked atomic notes plus a map-of-content, concept links and a RAG reindex. Idempotent re-import supported. Triggers: "/gitbook-import <url>", "import this gitbook", "gitbook to vault".
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。
Reads existing brand DNA, keywords.csv, and prompts.csv, then produces a plan.csv — a strictly-schema'd content architecture telling the next pipeline step which pages to create, for which keyword/prompt clusters, and in what build order.
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。
Health-check the second brain so failures are not silent: is the local search server alive, is the RAG index fresh, is the session-memory ledger filling, did the nightly distillation run. Read-only, with a green/red verdict per component. Triggers: "/brain", "/memory", "is the reindex alive".
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。
Creates data visualizations (charts, graphs, tables) optimized for AI engine parsing and citation. Produces inline SVG/HTML with text summaries, data tables, and JSON-LD so AI engines can quote the 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。
LLM-judge stage of an alpha-mining pipeline: take a miner's deterministic candidate list, keep only real signal, drop noise, and propose additions to that miner's curated note. Use after any zero-token detector run. Reads only the candidate digest and the home note, never the corpus. Triggers: "/alpha-judge <miner>", "judge the candidates".
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。
Search inside past agent sessions and continue the one that matters with a single command. Uses a separate episodic session index, so raw chat noise never pollutes the curated RAG. Triggers: "/chat-search", "which chat discussed X", "did we already research X", "search old 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。
Pull new and changed claude.ai web conversations into an Obsidian vault, extract artifacts as first-class notes, concept-link them, and refresh the RAG index and dashboard. Idempotent: curated notes are never overwritten. Triggers: "/claudeai-sync", "pull claude.ai", "grab new claude.ai 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。
Run one full mining pass over an imported community-chat corpus: deterministic detector, LLM judge, harvest, review screen. Works on any imported corpus through a per-source config and is safe to re-run, being idempotent by message id. Triggers: "/community-alpha <source> [month]", "mine alpha from <community>".
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。
Hand a task to whichever LLM is alive, not only Claude: the prompt goes to Codex, Grok, Gemini and Claude CLIs at the same time and the first valid answer wins. Use when Claude's quota is exhausted, a vendor is down, or you want a quick parallel answer from other models. Triggers: /ask-any, ask anyone, give this to another LLM, quota empty, ask in parallel, race the rails.
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。
WooCommerce Subscriptions data model, switcher, and gifting reference for exact order type names, product type slugs, subscription meta keys, schedule/date keys, related-order relation meta, switch cart data, switch order data, switched item types/meta, proration hooks, and WCS Gifting recipient storage. Use when code reads or writes shop_subscription, subscription, variable-subscription, subscription_variation, _billing_period, _schedule_next_payment, _subscription_switch_data, _subscription_switch, subscription_switch, _switched_subscription_item_id, wcsg_gift_recipients_email, _recipient_user, _recipient_user_email_address, wcsg_recipient, or when an agent needs the full WooCommerce Subscriptions switcher/gifting flow.
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。
Builds a WooCommerce-style AJAX product search select (the selectWoo / wooselect dropdown) — class="wc-product-search" + the data-action attribute pointing to woocommerce_json_search_products (products only) or woocommerce_json_search_products_and_variations (products AND variations, often the right choice). Pre-selected items rendered server-side as <option selected> via wc_get_product() + get_formatted_name(); WC's wc-enhanced-select script auto-enqueued on WC admin screens, explicit enqueue required on non-WC pages. Solves the "load 20k products into a select" antipattern AI assistants commonly emit. Use when adding a product picker meta box, a custom WC admin page selector, or any UI where the user must search and pick from many products. Triggers on wc-product-search, woocommerce_json_search_products, woocommerce_json_search_products_and_variations, selectWoo, wc-enhanced-select, "select2 products in WooCommerce", or product-picker meta box scaffolding.
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。