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cccskills

データ・AIのスキル

データ分析、機械学習、LLMアプリ、プロンプト設計(8,844 件)

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概要と使いどころ

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。

tonydzi/second-brain-starter-kit82026年10月14日 更新

ask-any

無料

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。

tonydzi/second-brain-starter-kit82026年10月14日 更新

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。

tonydzi/second-brain-starter-kit82026年10月14日 更新

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。

tonydzi/second-brain-starter-kit82026年10月14日 更新

brain

無料

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。

tonydzi/second-brain-starter-kit82026年10月14日 更新

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。

tonydzi/second-brain-starter-kit82026年10月14日 更新

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。

tonydzi/second-brain-starter-kit82026年10月14日 更新

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

Use WooCommerce's customer and session APIs correctly — WC ships its own session handler (WC_Session_Handler, single wp_woocommerce_sessions table for both guests and logged-in users) and its own customer object (WC_Customer via WC()->customer), separate from $_SESSION / native PHP sessions / wp_get_current_user. AI consistently reaches for $_SESSION (breaks with page caching, setcookie (no signing, no namespacing), or user_meta for guests (impossible). The correct path is WC()->session->set/get for ephemeral per-visitor data, WC()->customer->get_billing_* for the active customer context including guests, and new WC_Customer($user_id) for one-off loads. Important — WC()->session is auto-initialized only on frontend requests (incl. admin-ajax); REST, cron, and WP-CLI must call wc_load_cart() explicitly. Use when storing per-visitor state, reading the current visitor's billing data, or debugging session loss across page caches / REST / cron. Triggers on WC_Session, WC_Session_Handler,...

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

WooCommerce Memberships storage and relationship map for membership plan CPTs, user membership CPTs, post statuses, plan/user membership meta keys, rule storage, profile-field storage, order grant meta, and WooCommerce Subscriptions-linked memberships. Use when code reads or writes wc_membership_plan, wc_user_membership, wcm-* statuses, wc_memberships_rules, _subscription_id, _has_installment_plan, _free_trial_end_date, membership plan access meta, user membership dates, product/order grant meta, or when an agent needs exact Memberships CPT/meta names and the Memberships-Subscriptions relation.

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

Read, query, and write WooCommerce product variations correctly — the WC_Product_Variable (parent) vs WC_Product_Variation (child) class split, the parent's get_variation_prices( $for_display ) cached aggregation and how to bust the wc_var_prices_<id> transient, programmatic variation creation via WC_Product_Variation + set_parent_id + set_attributes + save followed by WC_Product_Variable::sync, the inherited-vs-own variation stock model (parent flag, variation flag, derived stock_status), get_available_variations for frontend variation data, and the $for_display tax-handling parameter that breaks display logic when forgotten. Use when scaffolding plugin code that creates / queries / modifies variations or when debugging stale variation data after programmatic writes. Triggers on WC_Product_Variation, WC_Product_Variable, get_variation_prices, get_available_variations, product_variation post type, wc_var_prices, sync_variation, or programmatic variation creation 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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

valyu

無料

Search the live web and 36+ specialised data sources including SEC filings, PubMed, ChEMBL, clinical trials, FRED economic indicators, and patent databases. Use when current, authoritative, or paywalled data is 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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

Design and review native DTOs in WordPress plugins without requiring better-data - immutable data carriers, explicit from_array hydration, strict coercion instead of unchecked casts, WP_Error validation failures, sensitive-field discipline, nested DTO arrays, and clear separation from repositories, WP models, presenters, REST controllers, and HTML views. Use when a plugin introduces FooDto, request DTOs, settings DTOs, value objects, admin-row data shapes, REST response source objects, or when reviewing code that passes raw arrays, stdClass, WP_Post, WC_Order, $_POST, post meta, or option arrays through multiple layers. Mentions better-data only as an optional higher-level library; this skill is for native implementations.

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

Designs and reviews the three lifecycle events of a WordPress plugin — activation (one-shot setup, dbDelta, add_option seeding, cron schedule, cap seeding), deactivation (reversible cleanup, cron clear via wp_unschedule_hook, never delete user data), and uninstall.php (standalone file, WP_UNINSTALL_PLUGIN guard, no autoloader, full data removal). Multisite-aware patterns using the $network_wide / $network_deactivating callback args, plus the recommendation against register_uninstall_hook in favor of uninstall.php. Use when scaffolding a plugin or debugging ghost cron events / orphan options. Triggers on register_activation_hook, register_deactivation_hook, uninstall.php, WP_UNINSTALL_PLUGIN, dbDelta, wp_unschedule_hook, switch_to_blog.

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

Design and review native presenter classes in WordPress plugins without requiring better-data - converting DTOs or domain objects into REST arrays, admin table rows, JS config payloads, email variables, and public view models with allowlisted fields, context methods, redaction by default, locale/date/number formatting, no DTO mutation, and correct WordPress escaping boundaries. Use when adding FooPresenter, response mappers, admin-row arrays, wp_send_json payloads, rest_ensure_response data, wp_add_inline_script config, or when code returns raw DTOs, WP_Post, WC_Order, get_object_vars, json_encode, or unescaped HTML from controllers.

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

Handle UTF-8 and text encoding safely in WordPress plugins, especially on WP 6.9+ where wp_is_valid_utf8(), wp_scrub_utf8(), and noncharacter helpers replace older seems_utf8-style checks. Covers when to validate, scrub, reject, or preserve invalid bytes; wp_check_invalid_utf8 behavior; XML/JSON/feed/export boundaries; and avoiding data loss from premature replacement. Use when processing imported text, CSV, XML, feeds, email, REST payloads, AI prompts, logs, filenames, or external API 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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

astropy

無料

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

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。

ranbot-ai/awesome-skills72026年10月14日 更新

Daily attendance register: check-in and check-out, hours worked, work mode, late minutes, leave and regularisation flags, as CSV, SQL, JSON Schema or Notion on request. Use for payroll 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。

ranbot-ai/awesome-skills72026年10月14日 更新

Spectral vector search using graph Laplacian eigenstructure. Use when cosine/L2 similarity misses latent structure in your embeddings.

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。

ranbot-ai/awesome-skills72026年10月14日 更新

Automate Asin Data API tasks via Rube MCP (Composio). Always search tools first for current schemas.

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。

ranbot-ai/awesome-skills72026年10月14日 更新

Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.

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。

ranbot-ai/awesome-skills72026年10月14日 更新

Generate output schemas (dataset_schema.json, output_schema.json, key_value_store_schema.json) for an Apify Actor by analyzing its source code. Use when creating or updating Actor output schemas.

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。

ranbot-ai/awesome-skills72026年10月14日 更新