Use when asked 大模型备案怎么做, 生成式人工智能服务备案还是登记, 算法备案流程, AI 生成内容标识怎么加, 我们接了已备案的大模型还要备案吗, or prepare a generative AI product for launch in mainland China. Produces the obligations that apply (generative AI service filing, registration for apps built on a filed model, algorithm filing, AI-generated content labelling), the documents and security self-assessment to prepare, a launch checklist, and the questions for the provincial cyberspace administration, each marked to confirm.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Offering generative AI to the public in mainland China brings obligations under the Interim Measures for the Management of Generative AI Services (effective 15 August 2023), the algorithm recommendation rules, the deep synthesis rules, and the measures for labelling AI-generated content (effective 1 September 2025). Which apply depends on whether the company trains or provides its own model, builds on a model that is already filed, serves the public or only businesses, and what the product generates. This skill works out which apply and prepares the materials.
Write in Simplified Chinese unless asked otherwise. Procedures run through the provincial cyberspace administration (省级网信办) and the national algorithm filing system, and practice changes; confirm with the local 网信办 and counsel. This is preparation, not legal advice.
Ask for these if not provided:
| Obligation | Applies? | Why | Where it is handled | Covering: generative AI service filing (大模型备案) for providers of their own model to the public; registration (登记) for public-facing apps that call a filed model (confirm the local practice); algorithm filing (算法备案) through the national system where the product has public-opinion or social-mobilisation attributes; deep synthesis duties; and AI content labelling (explicit labels users can see, and implicit labels such as metadata).
For filing or registration: service description, model details or the filed model's filing number, the security self-assessment against the national security requirements for generative AI services (TC260 basic requirements), training data and annotation records where relevant, keyword and test question banks, user agreement and privacy policy, and complaint channels.
Where explicit labels appear (text notices, image watermarks, audio cues, video captions), how implicit labels are written into file metadata, and how user downloads and shares keep the labels.
| Item | Owner | Done | Including real-name verification where required, minors protection, a complaint and reporting channel, log retention, and a process for handling illegal content.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Design a 360-degree feedback survey or write a structured 360 feedback report. Use when asked to build a 360 feedback process, write 360 feedback for a colleague, design a feedback survey, or produce a feedback report. Produces either a complete survey instrument with rating scales and open-ended questions, or a structured narrative feedback report with themes, strengths, and development areas.
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。
Decode a 401k or workplace retirement plan — the real cost of its funds, the match's fine print, vesting math, and the plan features worth using or avoiding. Use when someone asks 'is my 401k any good', 'decode my 401k plan', 'which funds should I look at', or 'what fees am I paying'. Produces a fee decode in dollars-over-time, match and vesting math, a fund-lineup triage by cost, and the questions for HR or the plan administrator.
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 statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.
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。
Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, interpret test data, or decide whether to ship a variant. Produces a clear verdict with the lift and confidence, segment cuts, the risks (peeking, novelty, sample), and a recommendation. Distinct from planning a test — this reads results.
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 or tailor an academic CV for faculty, postdoc, research or fellowship applications: publications, grants, teaching, supervision and service in the order the field expects, with consistent citations. Use when asked to write my academic CV, update my CV for a lectureship, tenure-track or postdoc application, format my publications list, or adapt my academic CV for an industry research role. Produces the full academic CV, a field-appropriate section order, a clean publications list in one citation style, and a two-page summary version when asked.
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 a WCAG 2.2 accessibility audit checklist and remediation suggestions for any UI or design. Use when asked to audit for accessibility, check WCAG compliance, review a design for a11y issues, or create an accessibility remediation plan. Produces a prioritised checklist with pass/fail assessments and specific fixes.
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。