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Found 8,058 Skills
Audit experiment integrity before claiming results. Uses cross-model review (GPT-5.4) to check for fake ground truth, score normalization fraud, phantom results, and insufficient scope. Use when user says "审计实验", "check experiment integrity", "audit results", "实验诚实度", or after experiments complete before writing claims.
Draft patent claims for an invention. Use when user says "撰写权利要求", "draft claims", "写权利要求书", "claim drafting", or wants to create patent claims. The core skill of the patent pipeline.
Get an external patent examiner review of a patent application. Use when user says "专利审查", "patent review", "审查意见", "examiner review", or wants critical feedback on patent claims and specification.
Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements.
All-in-one WeCom CLI Suite covering 6 core business domains: Contacts, Messages, Documents (including three types: Document, Smart Sheet, Smart Document (formerly Smart Homepage)), Schedules, Meetings, and Tasks. It supports searching contacts by name/alias, sending and receiving messages (text/image/file/voice/video), creating/reading/editing documents in Markdown format, managing Smart Sheet structures and records, creating Smart Documents and exporting their content as Markdown, creating/modifying/canceling schedules and checking availability, booking/managing meetings, and creating/tracking/assigning tasks. This skill should be triggered even if users do not explicitly mention 'WeCom' as long as scenarios involving messages, schedules, tasks, etc., are involved.
Follow this sub-process for code optimization — handle tasks where 'behavior remains unchanged but structure changes' (structure / performance / readability). Shift single-module internal optimization from 'AI random refactoring' to 'first scan to generate a checklist, confirm each item with the user, execute step by step according to the method library, and obtain manual approval for each step'. Trigger scenarios: When the user mentions phrases like 'optimize / refactor / rewrite / split / poor performance / too long code' without any accompanying behavior changes. Do not handle new requirements (route to feature), bugs (route to issue), or cross-module architecture restructuring (route to architecture + decisions).
One-stop skill for the project architecture center — draft new architecture documents, refresh existing architecture documents, or conduct an architecture health check. Automatically determine the mode based on user input: `new` (draft)/ `update` (refresh to the latest code status)/ `check` (view only, generate issue list). The `check` mode has three sub-goals: consistency within a single feature design, alignment between design and code, and consistency among multiple documents under `easysdd/architecture/`. Single-target rule — only modify one document or check one target at a time. Trigger scenarios: User says "fill in an architecture doc", "draft an architecture document", "refresh the architecture directory", "write down the structure of this module", "conduct an architecture check", "is the design internally consistent?", "does the plan match the code?", "are there conflicts among several documents in the architecture folder?", or when it is found in the feature-design / feature-acceptance / implement phase that an architecture action needs to be performed first before proceeding.
Export agent data into a Starchild migration bundle. For use by ANY agent (OpenClaw, Claude Code, Cursor, etc.) to migrate into Starchild.
美股市场全量数据服务。编排美股所有细粒度 skill：实时行情、K线、基础数据、技术指标。 当用户提及"美股""纽交所""纳斯达克""苹果""特斯拉"且未明确指定数据维度时触发。
Beginner-friendly end-to-end video creator for HyperFrames. Use when the user says "make a video", "create a video", "new video", "build a video", "video from scratch", "I want to make a video", "help me create a video", or when someone who's never used HyperFrames before arrives with a concept, script, or rough idea and wants a finished MP4. Interviews the user in one pass, then builds the full video with mandatory preview and visual-verification gates.
Discussion entry when ideas are still vague — first conduct triage through 1-2 rounds of dialogue to determine which downstream process this discussion should eventually go to: if the idea is clear enough, proceed directly to feature-design; if the direction of a small requirement is set, continue the discussion within the feature and document it in `{slug}-brainstorm.md`; if a large requirement cannot fit into a single feature, hand it over to roadmap for decomposition. The role of AI is a thinking partner, not a recorder — dig out the real problem the user wants to solve, proactively evaluate when the user brings a solution, and propose alternative directions when necessary. Trigger scenarios: when the user says "I have an idea that's not clear yet", "Let's brainstorm first", "I want to do something but it's still vague", "Let's talk about this area", "The function direction is still undecided", or when the user comes with a specific solution but wants to hear other ideas first. Bugs (go to issue) and refactoring (go to refactor) are not handled here.
When developing new features, follow this sub-process — take the vague idea of "add X capability" through to the acceptance closure, with solution documents archived so that both AI and users can later check the original thinking and decision rationale. Trigger scenarios are focused on adding new capabilities ("develop new feature", "add X", "implement XX"), and do not handle bugs in existing code. This skill only acts as a router, deciding which sub-skill to trigger next among brainstorm / design / fastforward / implement / acceptance based on existing artifacts.