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概要と使いどころ
Use after installing tradeblazer_skills to collect user preferences for TBQ3/TB language work, including task focus, strategy type, document output location, and review expectations.
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。
Transform an ordinary object in a supplied photo into a poetic museum-exhibit poster, preserving its identifying shape while reimagining the display setting. Use for 私人生活博物馆, 日常物件展品, or a collectible still-life poster from food, flowers, toys or personal objects.
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。
Squeeze three to five durable lessons out of the owner's own words from the last seven days into a weekly note in the insights folder. The LLM reads only a collector's digest, never the raw corpus. Triggers: "/wisdom-distill", "distill my week", "weekly wisdom".
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。
Collect the last human session, or a specific one by id, into a seed on the clipboard, so a new session continues where the old one broke off, including after a crash or on a machine where native resume does not work. Triggers: "/resume-last", "/resume", "continue the last session".
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。
Send one research question to as many independent LLMs as possible at once, each in its strongest reasoning mode with proof of that mode, then synthesize. Floor of 3 models, quorum of 4; late answers are collected later. Use for high-stakes questions where one model's view is not enough. Triggers: /hyper, hyper research, ask every LLM, max fan-out research.
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。
Track and collect promises: every promise, theirs to us and ours to them, goes into a registry with date and source, gets a reminder when due and is closed with evidence. Triggers: /promises, log this promise, who promised us what, what did we promise, overdue promises, promise tracker.
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。
Report what is genuinely new in the last 30 days on a topic, by slicing locally collected nightly channel databases with no live crawling. Run it before a strategic decision, as the fresh-signal feed for the gap phase. Triggers: "/last30days <topic>", "trendwatch <topic>", "what changed last 30 days on 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。
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。
Set up APIClaw and land one live API execute. When a user says "set up https://apiclaw.cloud/SKILL.md", or you need a research API call without collecting provider keys, follow this file. Auth is Clerk via `npx @nordsym/apiclaw auth login`. Confirm with `npx @nordsym/apiclaw auth whoami` before any execute. Execution is POST /v1/execute with provider/action. Never ask the user to paste a token into chat. Never pass a catalog display name to `apiclaw call`.
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。
Use when the user asks to "build a story bank", "collect our origin and customer stories", or "assemble reusable proof stories for the message"; assembles reusable narrative units — origin, founder, customer, transformation, and proof stories — each tagged to a claims-ledger ID and a message-house pillar, with every proof labeled Measured / User-provided / [needs source]. Not for authoring the message house or pillars — use message-system-architect; not for brand voice or naming rules — use brand-language-codifier; not for finished long-form prose — use content-writer; not for adjudicating whether a proof is true — use offer-claims-registry. 品牌故事库/起源客户转化/证据故事单元
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。
When the user wants to create or optimize popups, modals, overlays, slide-ins, or banners for conversion purposes. Also use when the user mentions "exit intent," "popup conversions," "modal optimization," "lead capture popup," "email popup," "announcement banner," "overlay," "collect emails with a popup," "exit popup," "scroll trigger," "sticky bar," or "notification bar." Use this for any overlay or interrupt-style conversion element. For forms outside of popups, see cro. For general page conversion optimization, see cro.
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。
Collect and verify Google Street View exterior references for a building reconstruction, preserving panorama identity, imagery dates, attribution and viewpoint separately from calibrated scan evidence.
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。
Fan out N independent workers, collect their results, and return one report for coverage, races, gauntlets, or exploration.
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 wants a wall of album covers, an image wall, a covers grid, or any square art drifting slowly in the background of a site. Includes collecting their saved albums from Spotify and building the wall from them. The wall goes behind whatever front the site already has; a frosted panel is the default when the site has none.
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。
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。
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。
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。
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。
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。
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 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。