「ept」の検索結果

当用户在反思自己的认知局限、质疑群体共识、或在问"如何独立思考""怎么判断自己是不是被洗脑了""为什么我总觉得自己是对的""怎么避免从众"时激活。 核心信号：用户在做"元认知"——审视自己的思维过程本身，或在群体压力下试图保持独立判断。 不适用于：需要快速决策的紧急情况、纯技术性问题、不需要反思的信息查询。

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。

Verify NowStack Mobile changes across web, iOS, Android, and Convex with real runtime evidence. Use for `/ns verify`, cross-surface regression checks, acceptance proof, or release verification.

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。

Implement masked modal routes in NowStack Mobile web-app. Use for TanStack Start route masks, shareable detail URLs, back-to-close, and refresh-to-page 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。

Trigger when: (1) User wants to create an educational/explainer video, (2) User has a vague concept they want visualized, (3) User mentions "3b1b style" or "explain like 3Blue1Brown", (4) User wants to plan a Manim video or animation sequence, (5) User asks to "compose" or "plan" a math/science visualization. Transforms vague video ideas into detailed scene-by-scene plans (scenes.md). Conducts research, asks clarifying questions about audience/scope/focus, and outputs comprehensive scene specifications ready for implementation with ManimCE or ManimGL. Use this BEFORE writing any Manim code. This skill plans the video; use manimce-best-practices or manimgl-best-practices for implementation.

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 professional brand-quality product images via Higgsfield's mode-specific prompt enhancement pipeline. Entry point for any product visual with a specific format or platform target. Use whenever: "product photoshoot", "lifestyle product shots", "Pinterest pin", "hero banner", "ad pack", "virtual try-on", "studio shot", "carousel images", "Meta ads creative", "model wearing product", "levitating product", "splash shot", "CGI style product", "restyle product image", Shopify image, brand campaign visual. 10 modes: product_shot, lifestyle_scene, closeup_product_with_person, moodboard_pin, hero_banner, social_carousel, ad_creative_pack, virtual_model_tryout, conceptual_product, restyle. Backend assembles the prompt — never call gpt_image_2 directly for product shots. NOT for: one-off images without a product (use image-gen), branded video with avatars (use higgsfield-generate), Soul training (use higgsfield-soul-id). Requires Higgsfield CLI and authed account.

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。

Turn an electronic product idea, behavior description, reverse-engineering note, or incomplete circuit concept into a decision-ready engineering brief and architecture. Use before schematic design or audit when functions, operating states, power, interfaces, mechanics, production quantity, cost, or measurable requirements are missing or ambiguous.

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。

Operate and review a JLCPCB PCB/PCBA quote, optional physical-stencil request, or order using a frozen Gerber/drill, BOM, CPL, sourcing lock, constraints, and release manifest. Use for browser upload, board or stencil options, cost anomalies, coupons, component matching, substitutions, imported placement calibration, top/bottom preview inspection, cart preparation, or order records without silently accepting placement errors or payment.

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。

Reorganize label-heavy or netlist-like electronic schematics into human-readable functional diagrams with visible local wiring while preserving proven connectivity. Use for schematic readability correction, overlapping wires or symbols, visually floating connectors or support logic, functional-sheet restructuring, bus presentation, layout annotations, or multi-EDA handoff across KiCad, Altium, EasyEDA, EAGLE/Fusion, gEDA/Lepton, SPICE/netlist, and PDF/image sources.

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 a user needs SCI/SCIE/ESCI/SSCI journal-submission help: evidence-backed candidate-journal discovery from a title, abstract, keywords, or manuscript text; public-metric and risk lookup for a known journal; or a pre-submission compliance check of a draft against a chosen journal's Author Guidelines and same-journal conventions. Also for Chinese requests such as 选刊、投稿期刊推荐、期刊查询、中科院分区、投稿前检查、期刊要求核对. This skill produces candidates, evidence, checks, and uncertainty; it does not judge research quality, predict acceptance, choose a uniquely best journal, draft prose, or simulate peer review.

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。

Design proof-of-concept frameworks for AI projects. TRIGGERS - Use when user needs help with ai-poc-framework related tasks.

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。

Evaluate code (especially LLM-generated) for structural simplicity using Rich Hickey's "Simple Made Easy" framework. Use this skill whenever reviewing a PR, diff, or code snippet for accidental complexity — particularly when the code was generated by an AI coding assistant and line-by-line review isn't feasible. Also use when the user asks about complecting, simplicity vs. easiness, structural coupling, or concept deduplication. Trigger on phrases like "is this simple", "does this complect", "review for complexity", "structural analysis", or any reference to Hickey, Simple Made Easy, or grey-box review.

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。

Teach the user a new skill or concept, within this workspace.

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。

This skill should be used when the user asks "How do I...", "What is...", "How does X work in Prismatic?", "What's the best practice for...", wants to understand Prismatic concepts, features, or architecture, or needs guidance on marketplace deployment, customer connections, embedded UI, config pages, triggers, or other Prismatic product features. Search and retrieve documentation from prismatic.io/docs and reference examples from github.com/prismatic-io/examples.

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。

Write a feature spec or PRD from a problem statement or feature idea. Use when turning a vague idea or user request into a structured document, scoping a feature with goals and non-goals, defining success metrics and acceptance criteria, or breaking a big ask into a phased spec.

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。

Find and position a viable niche market for a one-person company by combining market mapping and customer segmentation. Use when Codex needs to explain niche concepts when needed, check founder-resource prerequisites, ask one question at a time, generate multiple niche options, and write user-confirmed positioning outputs into `opc-doc/`.

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 operating health of a one-person company using lightweight metrics, bottleneck analysis, and stop-loss logic. Use when Codex needs to explain review concepts when needed, verify available outputs, ask one question at a time, present multiple bottleneck hypotheses, and write user-confirmed outputs into `opc-doc/`.

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。

Design a viable business model for a one-person company using Lean Canvas and a simplified Business Model Canvas. Use when Codex needs to explain the business-model concepts when needed, verify niche and value-proposition prerequisites, ask one question at a time, present multiple model choices, and write user-confirmed outputs into `opc-doc/`.

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。

Turn repeatable outputs of a one-person company into compounding assets. Use when Codex needs to explain asset-compounding concepts when needed, verify prerequisite outputs, ask one question at a time, present multiple assetization priorities, and write user-confirmed outputs into `opc-doc/`.

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。

Design a conversion loop for a one-person company from reach to lead capture to purchase. Use when Codex needs to explain conversion concepts when needed, verify MVP prerequisites, ask one question at a time, present multiple conversion-path options, and write user-confirmed outputs into `opc-doc/`.

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。

International journal matcher — performs L3 6-dimensional matching for SCI/SSCI/EI/Scopus journals, computes conditional acceptance probability with review cycle estimation, applies 4-layer weighted ranking, and outputs tiered submission strategy including CAS warning screening and Chinese scholar friendliness 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。

Chinese journal matcher — performs L3 6-dimensional matching (keywords, cited direction, trend, solicitation, institution, cross-discipline), calculates conditional acceptance probability with review cycle estimation, and outputs tiered submission strategy (aspiration-stable-safety) using 4-layer weighted ranking.

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。

Bulk extract content from an entire website or site section. Use this skill when the user wants to crawl a site, extract all pages from a docs section, bulk-scrape multiple pages following links, or says "crawl", "get all the pages", "extract everything under /docs", "bulk extract", or needs content from many pages on the same site. Handles depth limits, path filtering, and concurrent extraction.

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 a Research Pilot project graph change must be previewed, registered, accepted, rejected, parked, or revised through human-gated D* deltas.

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 creating /goal directives, reusable testable outcome-oriented success standards for agentic workflows. Use whenever the user asks to create a goal, write a /goal directive, define what good looks like, set success criteria for an agent, define a reusable instruction, create a quality standard, write acceptance criteria for an agent workflow, or specify done conditions.

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。