2.8K skills · sorted by relevance
Prepare for a specific interview by organizing real experience into relevant stories. Build a company brief with sources, map likely questions to examples, draft opening answers, and review the interview afterward.
Practice an interview tailored to a specific job, with a chosen format and difficulty. Answer one question at a time, handle follow-up questions, and receive scores and improvement suggestions grounded in your answers.
Prepare for investment diligence meetings with management, experts, customers, or advisors. Create a one-page brief with prioritized questions, comparison metrics, concerns to investigate, and follow-up requests based on the meeting's purpose and existing findings.
Find relevant QwenPaw documentation and source files for questions about setup, configuration, skills, memory, and other features. It maps question keywords to likely file paths so the agent can read and verify the right material.
Build image-based conversations with LLaVA, an AI model that combines image understanding with language. Covers setup, model selection, image descriptions, follow-up questions, and memory-saving options for running models on a GPU.
Clarify a founder's business question through six written answers covering the problem, customer, distribution, competitive protection, capital, and founder fit. Turn the answers into a one-page brief with an assessment of readiness for further strategy discussion.
Research questions about a market, examine recorded ChatGPT answers and cited websites, and identify themes where a brand appears or is missing. Receive ranked prompt groups and suggested questions for future tracking.
Search and manage content in 知识星球 communities, including posts, comments, and questions. Create or edit posts, reply to discussions, answer questions, manage tags and featured status, and review question records through zsxq-cli.
Build image conversations with LLaVA, a model that connects image recognition with language. This skill guides setup, image descriptions, visual questions, and follow-up conversations, with examples for Python, command-line use, and a Gradio interface.
Develop a vague research interest into a specific question and plan. Use 5W1H prompts, literature reviews, and analysis of unanswered questions to define hypotheses, required evidence, suitable methods, and a concrete next step.
Guide agent replies in Matrix chat rooms, including when to mention a coordinator, report completion, raise blockers, or answer questions. The rules limit repetitive acknowledgments and stop exchanges that add no new task, question, or decision.
VS-Enhanced Research Question Refiner - Prevents Mode Collapse and derives differentiated research questions Enhanced VS 3-Phase process: Modal question avoidance, alternatives presentation, differentiated RQ recommendation Use when: refining research ideas, formulating research questions, clarifying scope Triggers: research question, 연구 질문, PICO, SPIDER, research idea
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Generate a coherent, whole-paper mathematical modeling solution framework from a complete contest problem. Use after the user supplies a CUMCM or other modeling problem and asks for modeling ideas, an overall solution plan, question-by-question analysis, candidate-model comparison, model-selection reasons, innovations, validation, or cross-question linkage. For every question, explain the task and mathematical essence, compare multiple feasible models in tables, recommend a route with explicit reasons, and keep all questions connected through shared data, variables, parameters, constraints, and validation.
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Turns sustainability or ESG reports the user provides into a DRAFT question pack for reviewers: every quantitative disclosure as stated with unit, period, boundary and page, year-over-year changes computed only from the stated figures with the arithmetic shown, targets with stated and computed progress, restatements and inconsistencies, gaps and specific questions to the report owner. No assurance, accuracy or conformance verdict. Use when the user asks to "prepare review questions on our sustainability report", "what changed year on year in this ESG report", "check the figures in this report before it goes to the board", "find the gaps in this ESG disclosure" or "build a question pack for the report owner". Do not use for reviewing marketing text against environmental-claim rules, use green-claims-review instead. Drafts for human review; never approves, authorises or signs off.
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Drafts answers to the questions in a received RFP, RFQ or tender from the organisation's past responses, answer library, case studies, policies and other documents provided: one row per buyer question with a draft answer marked Reused, Adapted or Missing, its source and date, and a legal or pricing review flag on every answer touching terms, liability, warranties, insurance, data protection or price. Use when the user asks to "draft our RFP response", "answer this tender from our past proposals", "pre-fill the bid questions", "first pass at the RFQ answers" or "reuse our previous bid content". Do not use for writing the buyer's own RFP or requirements, use rfp-requirements-pack instead; for security or due diligence questionnaires use vendor-security-questionnaire-prefill; for scoring received supplier responses use rfp-comparison-pack. Drafts for human review; never approves, authorises or signs off.
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Turns a set of questions (form exports, helpdesk logs, meeting Q and A, chat threads, a plain list) plus the source documents the user supplies into a DRAFT FAQ grouped by theme: every answer quoted or paraphrased from a named source with a reference, verbatim quotes for dates, figures, eligibility and obligations, UNKNOWN where the sources are silent, a source register with precedence, a conflicts table and a routing list of unanswered questions to owners. Use when the user asks to "build an FAQ from these documents", "answer these questions from the policy", "turn the Q and A into an FAQ page", "group these questions and answer them from the guide" or "what do our documents say about these questions". Do not use for the manager FAQ of a changed HR policy, use policy-change-briefing instead; for checking whether a document's own claims are evidenced, use claims-evidence-map. Drafts for human review; never approves, authorises or signs off.
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Break a stuck or complex problem into the smallest sub-question that, if answered, unlocks the next step — then answer it and repeat until the path forward is clear. Load when a problem feels genuinely stuck, when reasoning keeps circling, or when deep-thinking diagnoses a Socratic frame. Also triggers on "I keep going in circles", "what is the real question here", "help me reason through this step by step", "unstick my thinking", "recursive questioning", "what is the root question". Based on the recursive Socratic questioning method (EMNLP 2023) which outperforms CoT and Tree-of-Thought on complex reasoning tasks.
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Add two or three specific follow-up questions after actionable advice, plans, estimates, or analysis. The questions help users examine facts, reasoning, and missing context before acting, with clear exclusions and a limit of once per conversation.
Create Chinese-English reading materials that connect a scientific paper’s text with its figures, tables, and equations. It also handles selected excerpts and source-linked questions, keeping translations and explanations tied to the available original material.
Looks up a person's identity, role, and relationship before asking the user for clarification. Searches stored knowledge and connected records, then the web, updates incomplete pages, and asks a specific question with a hypothesis when evidence remains inconclusive.
Turn resolved support issues, recurring questions, and workarounds into help article drafts customers can search and follow. Choose an appropriate format, organize instructions clearly, and include metadata, source references, and publishing review notes.
Design interview processes for specific roles and experience levels, with round objectives, timing, suggested questions, and scoring criteria. Help interviewers align their judgments and review potential bias before using the process.
Structure responses to buyer questionnaires and proposal requests by classifying requirements, matching claims to verifiable evidence, and exposing gaps. Develop buyer-focused reasons to choose your offer and estimate win probability to support bid decisions.
Create a customer interview guide focused on past behavior, current problems, and desired outcomes. Adapt questions to research goals and available time, with follow-up prompts and a note-taking template to capture findings consistently.