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概要と使いどころ
Primitive Obsession 제거 — 검증·연산이 따라다니는 primitive 필드(금액+통화, 이메일 문자열 등)를 도메인 개념을 담은 Value Object로 치환. "값 객체 도입", "primitive obsession", "Money 클래스로", "/discover-value-object" 요청 시 사용. 단, 함께 전달되는 파라미터 묶음을 객체로 바꾸는 것은 /introduce-parameter-object, 컬렉션을 감싸는 것은 /first-class-collection이 적합. /discover-value-object [commit-ref]로 호출.
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。
Knowledge base from the NASA Probabilistic Risk Assessment Procedures Guide (NASA/SP-2011-3421, 2nd ed.). Use for quantitative PRA of aerospace and safety-critical systems: the risk triplet and scenario logic stack (MLD, ESD, event trees, fault trees, minimal cut sets), Bayesian data collection and parameter estimation, aleatory/epistemic uncertainty modeling and common-cause failure (Alpha Factor, beta-factor, CCBE), human reliability analysis (THERP, CREAM, NARA, SPAR-H), context-based software risk (CSRM), physics-based and structural/phenomenological models (stress-strength, limit states, FORM/SORM, NASGRO, range safety), uncertainty propagation and importance measures (F-V, RAW, Birnbaum, DIM), and launch-abort modeling with worked PRA examples. This is the QUANTITATIVE engine beneath NASA's risk doctrine — for the qualitative RIDM/CRM decision framework use the nasa-risk pack. Thin on programme management, organisational risk governance, and non-aerospace regulatory contexts; aerospace-focused and anchored to the 2011 second edition.
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。
Build an Anima LoRA from a single-character or style name, from Danbooru collection through curation, section-ordered WD14 captions, dataset checks, confirmed training, fixed-seed checkpoint validation, and a staged Civitai draft. Use for requests such as make a LoRA of X, collect images and train a character LoRA, train and upload to Civitai, or build a dataset from scratch and publish. Delegate training to lora-trainer and structural checks to dataset-doctor; never train without confirmation and never auto-publish.
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 and reviews mobile data privacy across Flutter, Android, iOS, React Native and Kotlin Multiplatform. Use for consent withdrawal, SDK collection controls, account and data deletion, retention, privacy manifests or store data disclosures. Covers the app and backend handoff; security exploits belong to mobile-security.
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。
Crawl, map, or scrape websites with Firecrawl when an authorized connector is available. Use for JavaScript-rendered pages, site inventories, broken-link discovery, and bounded multi-page SEO collection.
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 a PostgreSQL materialization to stream Estuary collections into PostgreSQL tables. Use when setting up PostgreSQL as a destination for captured data. Use when user says "send to Postgres", "materialize to PostgreSQL", "Postgres destination", or "load into Postgres".
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 a HubSpot materialization to write Estuary collections back into HubSpot CRM objects (Contacts, Companies, Deals, Tickets, etc). Use when setting up HubSpot as a destination for captured data. Use when user says "send to HubSpot", "materialize to HubSpot", "write back to HubSpot", or "HubSpot destination".
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。
View publication history for catalog resources — who changed what and when. Use when investigating timeline of changes, finding who modified a connector, or correlating changes across capture/collection/materialization chains. Use when user says "what changed", "who changed", "publication history", "catalog history", "when was it published", "timeline of changes", or "what happened to my connector".
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 a ClickHouse materialization to stream Estuary collections into ClickHouse tables. Use when setting up ClickHouse as a destination for captured data. Use when user says "send to ClickHouse", "materialize to ClickHouse", "ClickHouse destination", or "load into ClickHouse".
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。
Handle NULL values and set default values for missing fields in collections and materializations. Use when fields need defaults, nullable primary key errors occur, or source data has gaps. Use when user says "NULL values", "default value", "missing field", "nullable primary key error", or "fill in missing 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。
Create an Alpaca capture using flowctl to stream stock trade data into Estuary collections. Use when setting up an Alpaca Market Data source for historical and real-time stock trades. Use when user says "capture Alpaca", "stream stock trades", "Alpaca market data", or "connect Alpaca to Estuary".
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 a Snowflake materialization to stream Estuary collections into Snowflake tables. Use when setting up Snowflake as a destination for captured data. Use when user says "send to Snowflake", "materialize to Snowflake", "Snowflake destination", or "load into Snowflake".
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 or define specific fields in a collection's readSchema. Use when fields are missing from materialization field selection, pruned by complexity limit, need type refinement, need to be protected from future inference changes, or need to be required for downstream consumers. Use when user says "missing fields", "pruned fields", "field not showing up", "complexity limit", "define field in read schema", "restrict field type", or "protect field from inference".
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 projections to collections to rename fields or map nested JSON paths to flat column names. Use when renaming fields for destination conventions, flattening nested paths to columns, or creating field aliases. Use when user says "rename field", "flatten nested JSON", "map JSON path to column", "field alias", or "projection".
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 a BigQuery materialization to stream Estuary collections into BigQuery tables. Use when setting up BigQuery as a destination for captured data. Use when user says "send to BigQuery", "load into BigQuery", "materialize to BigQuery", or "BigQuery destination".
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 a HubSpot Real-Time capture using flowctl to stream CRM data into Estuary collections. Use when setting up a HubSpot source for contacts, companies, deals, tickets, or other HubSpot resources. Use when user says "capture HubSpot", "stream from HubSpot", "HubSpot CDC", or "connect HubSpot to Estuary".
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 a Redshift materialization to stream Estuary collections into Amazon Redshift tables. Use when setting up Redshift as a destination for captured data. Use when user says "send to Redshift", "materialize to Redshift", "Redshift destination", or "load into Redshift".
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 a Databricks materialization to stream Estuary collections into Databricks tables via Unity Catalog. Use when setting up Databricks as a destination for captured data. Use when user says "send to Databricks", "materialize to Databricks", "Databricks destination", or "load into Databricks".
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 flowctl catalog status to check the control-plane state of an Estuary resource, or list catalog specs to see which connectors exist and which are active. Use when checking whether a task is running, disabled, or failing, interpreting status output, or enumerating connectors. Use when user says "check task status", "is my capture running", "catalog status", "flowctl catalog status", "what's wrong with my capture", "task failing", "check catalog status", "collection status", "derivation status", "why is my task disabled", "list my connectors", "show me my connectors", "list captures", "list materializations", "what connectors do I have", or "show me all my active connectors".
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。
Dart 3 modern features (through 3.10) and Effective Dart best practices including records, patterns, sealed classes, dot shorthands, null-aware collection elements, and wildcard variables. Use when adopting Dart 3.7+ syntax, using dot shorthands for enums or static members, using null-aware elements in lists or maps, using wildcard _ parameters, improving code quality, or reviewing Dart code conventions.
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。
AI-driven Flutter E2E testing via VM Service CLI. Control running Flutter apps in debug mode for smoke tests, regression checks, exploratory testing, and UI automation. Trigger when user mentions E2E testing, UI automation, smoke tests, integration testing, test automation, controlling Flutter apps, VM Service interaction, debugging UI flows, automated regression testing, CI sanity checks, or testing native dialogs/permissions/WebViews. Supports stateful named instances or stateless direct URI connections. Ideal for rapid test feedback, AI agent workflows, element discovery, screenshot capture, log collection, and scriptable UI interactions (tap, scroll, enterText). Use for troubleshooting flaky tests, automating repetitive manual tests, verifying app behavior after merges, or setting up automated QA pipelines.
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 Detox — detox React Native testing management and analysis. Covers test configuration review, device and simulator management, build configuration analysis, test result parsing, artifact collection, and test runner integration. Use when managing Detox test suites, investigating mobile test failures, or reviewing React Native E2E testing configurations.
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 Coredns — coreDNS server management, zone configuration, plugin chain analysis, query logging, and cache statistics. Covers Corefile inspection, health endpoint monitoring, metrics collection, and forwarding configuration. Read this skill before any CoreDNS operations — it enforces discovery-first patterns, anti-hallucination rules, and safety constraints.
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 Anecdotes — anecdotes compliance automation platform for managing security programs, controls, evidence, and multi-framework compliance. Covers control monitoring, evidence automation, plugin integrations, gap analysis, and audit readiness. Use when reviewing compliance status across frameworks, tracking evidence collection, analyzing control gaps, or preparing for security compliance audits.
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。