3,791 件 ・ 関連度順
概要と使いどころ
- Investigate a phone number — E.164 normalisation with libphonenumber, phoneinfoga scanning, carrier and line-type identification, VoIP and burner detection, messaging-app registration checks, and reverse-lookup and caller-ID sources.
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。
Put a nightly watcher on any Telegram channel or chat in one command: register the channel and a single nightly job doing an incremental zero-token fetch plus the shared detector, producing a private shortlist report. Triggers: "/watch-channel <@channel|id>", "watch this channel", "monitor <channel> nightly".
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。
Draft short, in-voice reply candidates to a fresh community shortlist: read the nightly detector report, pick posts in safe or opinion topics, pull a grounding snippet from the local corpus, and write the drafts. Drafts only, and the owner posts. Triggers: "/sostav-comments", "draft replies to the shortlist".
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。
Stop a Google Takeout export from expiring undownloaded: detect the ready-to-download mails with a deterministic zero-token scan, report the live links with days remaining, then drive the download and vault import. Triggers: "/takeout-pull", "is my takeout ready", "pull my takeout".
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。
- Verify whether an image or video is authentic, original and correctly captioned — provenance checks, error level analysis, noise and JPEG compression analysis, clone and copy-move detection, lighting and shadow consistency, C2PA… Use when fact-checking a photo or video, checking for a deepfake or AI-generated image, spotting manipulation, or testing whether footage is recycled or miscaptioned
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。
Eat the elephant one bite at a time: turn a large list-shaped job into a finite routine that chews a small batch every night, detects when it is done, switches itself off and reports. Triggers: /elephant, eat the elephant, split into bites, make it a routine, ten a day, backfill everything.
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。
Scan recent agent sessions for content-worthy moments and capture them as drafts in a publishing funnel, publishing nothing. Zero-token detector, then a taste judge, then capture. Triggers: "/content-mine", "mine sessions for content", "what in our sessions deserves a post".
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。
Sync CRM knowledge notes in a vault with the live CRM code repositories: pull the read-only repos, detect which changed, and refresh only the affected reverse-engineering notes and the keep/drop/decide note. Triggers: "/crm-sync", "refresh CRM knowledge", "what changed in the CRM 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。
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。
Use to audit a generated or heavily templated interface for generic AI aesthetics, unjustified trend patterns, component-registry residue, vague copy, repetitive motion, novelty theater, or visual decisions that lack brand/UX rationale.
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 website needs rendered screenshot review, Playwright visual regression, multi-viewport checks, horizontal overflow detection, console-error checks, focus/state inspection, or a repeatable visual QA evidence set.
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 adding CopilotKit to an existing project or bootstrapping a new CopilotKit project from scratch. Covers framework detection, package installation, runtime wiring, provider setup, and first working chat 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。
Register a custom WooCommerce shipping provider — extend AbstractShippingProvider and add it via the woocommerce_fulfillment_shipping_providers filter (WC 10.1+). Distinct from shipping methods (rate at checkout) — a provider is a carrier identity (UPS, FedEx, DHL, your custom carrier) used by the Fulfillments system for tracking URLs, tracking-number pattern detection, country-pair support, and the orders-list filter. Required methods get_key / get_name / get_icon / get_tracking_url, with optional shipping-from / shipping-to / try_parse_tracking_number. Registration accepts class names (resolved via the DI container) or pre-built instances, keyed by get_key. Use when integrating a private carrier, fulfillment service, or any tracking-aware shipping identity. Triggers on AbstractShippingProvider, woocommerce_fulfillment_shipping_providers, FulfillmentUtils::get_shipping_providers, "shipping provider" in WooCommerce context, or carrier tracking 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。
Synthesize WooCommerce coupons at runtime without creating shop_coupon posts in the DB — via the woocommerce_get_shop_coupon_data filter, the hidden-but-powerful virtual-coupon mechanism. Filter fires inside WC_Coupon::__construct, and a non-false return becomes a fully functional coupon read through read_manual_coupon. Plus custom discount types via woocommerce_coupon_discount_types and woocommerce_coupon_get_discount_amount, and the validation triple woocommerce_coupon_is_valid / _is_valid_for_cart / _is_valid_for_product. Use when implementing rule-driven coupons (auto-apply X% to logged-in users, code-pattern detection like LOYALTY-42, external CRM integration that hands out codes), without populating wp_posts. The AI-deficient pattern; most LLMs don't know dynamic coupons exist. Triggers on woocommerce_get_shop_coupon_data, woocommerce_coupon_discount_types, woocommerce_coupon_get_discount_amount, read_manual_coupon, virtual coupon, dynamic coupon in WC context.
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。
Produces marketing performance reports and data-driven recommendations from WooCommerce sales data, social media metrics, and campaign analytics. Use when the task asks for "campaign performance", "ROI analysis", "monthly report", "sales trends", "product velocity", "audience insights", or "KPI tracking". Covers metric definition, reporting templates, slow-mover detection, and insight-to-action frameworks.
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。
Manage AI assistant configurations and peer-to-peer mesh network connections in the NV oOS Pro Toolkit. Covers assistant creation, model configuration, provider setup, peer discovery, mesh networking, cross-assistant communication, and detecting from a coding-agent session (Zed) which NV oOS assistants / MCP servers are enabled. Use when creating or editing AI assistants, configuring model providers, setting up peer connections, managing mesh network topology, debugging assistant behavior, or answering "is agent X available" / "what tools does this MCP have".
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。
Complete operational guide for the NV oOS (Open Operator System) WordPress plugin in Docker/WSL2 — setup, assistant creation, credential tokens, MCP tool calling, API key auto-detection, env var bridging, common fixes, and IGCSE study configuration. Use when setting up the plugin for the first time, creating assistants programmatically, generating MCP bridge tokens, troubleshooting Docker path issues, bridging API keys, or calling tools via JSON-RPC over HTTP.
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。
Manage the NV oOS Pro Toolkit Security Operations system — audit events, security training, maintenance windows, and incident records. Covers the full security ops lifecycle: audit logging, incident detection/response, maintenance scheduling, and compliance training tracking. Use when working with security audit trails, investigating incidents, scheduling maintenance windows, managing security training programs, or troubleshooting security operations 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。
Daily wisdom review applying Charlie Munger's mental models to your work and thinking. Use when asked to review decisions, analyze thinking patterns, detect biases, apply mental models, do a "Munger review", or run the Munger Observer. Triggers on scheduled daily reviews or manual requests like "run munger observer", "review my thinking", "check for blind spots", or "apply mental models".
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。
Systematically rewrites AI-generated or AI-sounding text on web pages, documents, or pasted content to sound human. Use this skill whenever a user asks to "humanize", "de-AI", "make this sound less like AI", "rewrite to avoid AI detection", or "clean up AI writing". Also trigger when a user pastes text and asks to make it sound more natural, more human, or less robotic. The skill applies a strict deterministic rule pipeline — NOT creative rewriting — making it safe for agentic/automated use.
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。
Remove signs of AI-generated code from a codebase while preserving behavior. Use when editing or reviewing code to make it read like a human engineer on this team wrote it. Works through a test-guarded detect-modify-verify loop: pin down the functional contract and edge cases first, write or run tests as a safety net, then rewrite AI tells (redundant comments, emoji, verbose names, reflexive try/except, defensive null-guards, over-decomposition, speculative abstraction, dead code, non-idiomatic constructs, hallucinated dependencies) and re-verify after every change. The tests decide whether a defensive block is slop or a real safeguard.
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。