Прогрессивная мышечная релаксация (ПМР) по Якобсону и аутогенная тренировка по Шульцу. Краткие и полные версии.
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。
3,610 件 ・ 関連度順
概要と使いどころ
Прогрессивная мышечная релаксация (ПМР) по Якобсону и аутогенная тренировка по Шульцу. Краткие и полные версии.
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。
雅各布森渐进性肌肉放松法(PMR)与舒尔茨自律训练法(AT)。包含简短版与完整版。
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。
Create, update, fix, or refine documentation using Diataxis framework and BMad Method style guide. Use when user asks to 'create a doc', 'update docs', 'fix docs style', 'refine docs', or 'improve docs writing'.
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 explaining or writing TBQ3 language syntax, including Params, Vars, Events, data types, variables, sequence variables, arrays, Map variables, control flow, operators, assignment, functions, and formula execution rules.
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。
Mutate WooCommerce variation prices via filters — pick the right layer (woocommerce_product_get_price for simple/non-variation products, woocommerce_product_variation_get_price for variations, the woocommerce_variation_prices_* family for the parent min/max aggregation that feeds the catalog "From X to Y" range), and the critical step of filtering woocommerce_get_variation_prices_hash whenever your price logic depends on context outside the default cache key (user role, custom toggle, time of day) — otherwise one user's filtered price gets cached and served to everyone. Use for role-based pricing, time-based discounts, or "filter variation prices but the min/max range doesn't update" debugging. Triggers on woocommerce_product_get_price, woocommerce_product_variation_get_price, woocommerce_variation_prices_*, woocommerce_get_variation_prices_hash, wc_var_prices.
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。
Audits WordPress plugin or theme PHP code for the most common security mistakes — missing nonce checks, capability checks, input sanitization, output escaping, unslashing, SQL preparation, AJAX nopriv exposure, file/path traversal, and unsafe redirects. Use when reviewing pull requests, before releasing a plugin, when the user asks "is this secure", or when handling code that touches $_GET / $_POST / $_REQUEST / $_COOKIE / $_FILES / $_SERVER, admin-ajax / admin-post, REST endpoints, options, user meta, custom DB queries, or file uploads.
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。
Scaffolds and reviews custom WordPress REST API endpoints registered via register_rest_route on rest_api_init — namespace and version slug, permission_callback authorization (NEVER __return_true on state-changing routes, which is the most common plugin-side vulnerability on wp.org), args schema with validate_callback / sanitize_callback / type / enum, object-level capability checks via current_user_can with object ID, responses with WP_REST_Response and WP_Error carrying an HTTP status, no raw DB rows / sensitive columns in responses, cookie auth via X-WP-Nonce, REST vs admin-ajax decision. Recommends the better-route library when the plugin grows past a few endpoints. Use when scaffolding or reviewing a REST endpoint, or migrating from admin-ajax. Triggers on register_rest_route, rest_api_init, permission_callback, WP_REST_Request, WP_REST_Response, WP_Error, X-WP-Nonce, rest_ensure_response, register_rest_field, or any file path containing /rest/ or /api/ in a WP plugin or theme.
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 to "optimize my Shopping feed", "fix product disapprovals", "improve product titles/attributes", or "build feed-driven PMax asset groups"; audits and rewrites the Shopping/Performance Max product feed — title/description patterns, required and recommended attributes, GTIN/availability/price hygiene, disapproval triage, and feed-driven asset-group / listing-group structure — informing the ROAS O (Offer) dimension. Not for text ad copy — use ad-creative-builder; not for scoring the account or the RQS — use ad-account-auditor. 商品Feed优化/购物广告Feed/商品标题优化/商品禁投修复
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。
Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why.
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。
PRテンプレートの必須項目(日本語記載、Diátaxis、検証コマンド、チェックリスト)が明確かを確認し、抜けや誤解を生む文言を指摘する
Layered technical-writing standard: Diátaxis structure, Google developer style sentences, STE instruction rules, Global English syntax. Use for /technical-writing or when writing or reviewing docs, RFCs, readmes, PR descriptions, or commit messages.
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。
Create an Estuary derivation that continuously aggregates metrics (daily totals, running counts, min/max, lifetime revenue) using reduction annotations. Use for real-time dashboards, continuous materialised views, and replacing batch ETL aggregations with streaming. Derivations add complexity and cost — confirm the user wants a derivation before reaching for this. Use when user says "aggregation derivation", "derivation to sum daily totals", "running-count derivation", "transformation for min/max per group", "derive lifetime metrics", "aggregate-by-date derivation", or "real-time-dashboard derivation".
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。
Implements data visualization charts in Flutter using the fl_chart package (v1.2.0). Supports LineChart, BarChart, PieChart, ScatterChart, RadarChart, and CandlestickChart with implicit animations, touch interactivity, and pan/zoom transformations. Use when building any Flutter chart, graph, or data visualization — including line graphs for trends, bar charts for comparisons, pie/donut charts for proportions, scatter plots for distributions, radar charts for multi-axis comparisons, or candlestick charts for financial OHLC data. Also use when customizing chart axes, titles, tooltips, grid lines, touch callbacks, chart animations, or chart zoom/pan behavior.
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。
Assign transactions to tax-aligned expense categories using vendor name, line items, and amount patterns. Handles ambiguous vendors like Amazon by inspecting line-item detail from the receipt source. Supports split categorization and learns from user corrections. Trigger on "categorize expenses", "sort transactions", "assign expense categories", "what category is this".
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。
Extract structured data from receipts and invoices for bookkeeping, expense tracking, and tax preparation. Supports email, photos, scanned images, PDFs, and accounting exports. Outputs vendor, date, amount, tax, line items as table, CSV, or JSON. Trigger on "process receipts", "extract receipts from email", "scan invoices", "capture expenses".
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。
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since 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。
Use for Nauthilus configuration loading, config schema and defaults, Viper-backed config formats, config dump behavior, vim syntax generation, template validation, prompt guideline sync, documentation under README/IDP/server docs, config converters, and generated documentation or syntax artifacts.
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。
Axis-by-axis interview methodology for establishing engineering performance budgets during architecture PRD compilation. Use when conducting the Step 10.5 performance budget interview in /create-prd-compile.
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 working with Amplitude — amplitude analytics management — monitor event ingestion, user activity, chart dashboards, cohorts, and data taxonomy. Use when reviewing event volumes, inspecting user funnels, auditing taxonomy health, or debugging ingestion issues.
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。
Power BI semantic models - DAX measures, star schemas, relationships, RLS, and performance tuning via MCP. Use when creating data models, writing DAX, or configuring table relationships in Power BI.
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。
Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.
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。
Expert en système de facturation (invoicing, Stripe, tax, dunning, pro-rating, DZ compliance)
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。
Backend Rust v2 — Actix, Axum, tokio, zero-cost abstractions, performance
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。
Backend Rust Specialist IA — Expert en développement backend Rust (Actix, Axum, Tokio, zero-cost abstractions, WASM)
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。