Turn a decision you can't fully answer into a questionnaire for someone else to fill in.

不把整台机器交出去，只送出挡路的决定和下一步：DeepSeek Harness 的审批、ask_user_question 提问与结果回复，以飞书卡片发到手机——桌面优先、只出站；执行过程实时可见，下一段任务一键即开。

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Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avo

Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions

Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified ("build me X" without "for whom" or "why now"), when the user explicitly invo

When the user wants multiple expert perspectives on a marketing question — a simulated board of advisors staffed by legendary marketers (Seth Godin, David Ogilvy, Eugene Schwartz, April Dunford, Rory Sutherland, Alex Hormozi, Byron Sharp, and more). Also use when the user mentions 'marketing council

StudyHub: a DeepSeek Harness (DSH) plugin that turns your own material into questions and spaced review · 把自己的资料变成题目与间隔复习的 DSH 学习插件

TypeSafe integration craft for System One models (sometimes called Decision Models) such as Jev, which answer typed questions about text, images, and application state with calibrated probabilities. Use when building, reviewing, or debugging code that calls TypeSafe; when writing its questions or st

Clerk Backend REST API explorer and executor. Browse tags, inspect endpoint schemas, and execute authenticated requests. Use when listing users, managing organizations, or calling any Clerk API endpoint.

Idiomatic Golang error handling — creation, wrapping with %w, errors.Is/As, errors.Join, custom error types, sentinel errors, panic/recover, the single handling rule, structured logging with slog, HTTP request logging middleware, and samber/oops for production errors. Built to make logs usable at sc

Enables point and radius queries against live French public geodata, covering commune register details and population, nearby building footprints with attributes, CORINE land-cover class at a location, and recorded flood-risk zones. All lookups are proxied per request with no stored copies.

Converts plain-language storage requests into validated Hitachi raidcom command lines and multi-step shell scripts, including ready-made provisioning recipes, command lookup, and model limit checks. It is build-only: it never connects to a storage system, runs a command, or holds credentials, returning reviewed command text for a person to execute.

One question, one checked answer: quote-verified answers from the web and ~45 structured sources.

Which source domains AI answer engines cite, by buyer category and question shape.

WoW: Forever lore and player-observed drops, vendors, quests, professions and talents, with sources.

Ask fifty verified people a five-second question and see what they think.

Register innovations, request patent preparation, and collaborate with Lightbringer’s patent team.

Local-model (Ollama) integration for DeepSeek Harness: discover, pull, remove, and inspect local models, route requests to them by task type or keyword with automatic fallback to the cloud, and get a one-shot status overview via /ollama.

Create a pull request in the warp repository for the current branch. Use when the user mentions opening a PR, creating a pull request, submitting changes for review, or preparing code for merge.

Watch for the next dev/prod error or request in a Convex app and react to it.

Watch for the next dev/prod error or request in a Convex app and react to it.

AI visibility: which buyer questions name your brand in ChatGPT, Perplexity, Claude, AI Overviews.

Enables mining Amazon product reviews for one ASIN per request — fetching paginated reviews, surfacing complaint signals from critical reviews, summarizing sentiment and rating trends over time, ranking complaint themes, and producing a combined per-ASIN report across 14 marketplaces.