调研与学习技能

按评分点组织论文结构并给出模型路线，产出论文大纲、评分点对齐表与候选模型对照实验方案。当需要在多个候选模型间取舍、需要把评分要求映射成章节结构、或模型路线尚未确定时使用。赛题原文解析由 problem-doc-model-selector 负责。

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正式论文的唯一撰写路径，制定写作计划、按章节写作与审计、全文统一改写，并生成原生公式 Word 与 PDF 渲染检查。当运行证据已通过校验、需要撰写或续写完整竞赛论文、或需要产出 final_paper.docx 与渲染 PDF 时使用。

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编排完整的数学建模工作流，从赛题与附件出发依次完成输入预检、题意分析、模型路线、数据与图表、代码与真实运行、证据门禁、正式写作与 Word/PDF 检查。当用户要做完整篇数学建模论文、需要从零跑通或从中断处续跑整个流程时使用。

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按修复队列重写反复不通过的论文章节，或按明确要求生成旧版与演练草稿脚手架。当章节连续审计失败需要局部重写、或用户明确要求快速草稿而非正式论文时使用。

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Help authors learn from exemplary ICLR, ICML, and NeurIPS papers through source-linked manuscript comparisons, concrete writing and experiment suggestions, and guided reflection. Use for research storytelling, contribution framing, paper comparison, figure planning, or research retrospectives. Not an acceptance predictor or a routine grammar/citation formatter.

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Answer one cited question on code, history, claims or patterns. Use when: asked how it works, why it changed, if a claim or done/shipped report holds, or a pattern warrants a rule.

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Turn a chosen segment + Core Jobs into a build-ready PRD (full functionality + edge cases) using Ivan Zamesin's AJTBD / Next Move Theory methodology. Consumes upstream work (segments from /nmt-market-research, value from /nmt-craft-value-proposition) without re-deriving it; with no research done it routes you upstream first, or takes a manually described segment + value. Before writing requirements it runs a "challenge the build" gate that looks for a more effective way to hit the same business goal; if a better way wins, the PRD is written for that. Output — a single PRD — functionality mapped Core Job → Big Job → value mechanic → success criteria → Aha Moment on the Critical Chain of Jobs, plus edge cases covering ~90% of use cases. Use when the user says "write the PRD / product requirements" or wants a build spec from a segment+value or feature idea. Two modes — Quick (default, no internet) and Deep (subagents + web parity check). Plain language; defaults to English.

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Run market research for a product or feature idea using Ivan Zamesin's AJTBD / Next Move Theory methodology (distinct from generic Christensen JTBD). Output — an A4 one-pager with a GO / NARROW / PIVOT verdict plus a detailed report — market sizing, customer segments scored on the selection screen, competitors defined by Jobs, a differentiation hypothesis, an action-first risk plan, and ranked strategic options including alternative markets to pivot into. Use whenever the user wants to size a market, find or evaluate segments and Jobs, assess competitors, decide whether an idea is worth pursuing, or explore a pivot — even if they don't say "market research". Two modes — Quick (default) and Deep. Defaults to English.

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Diagnose a product against Ivan Zamesin's Next Move Theory / Advanced Jobs To Be Done methodology (distinct from generic Christensen JTBD) and route to the next move. Chat-first: offers to read the product context already in your folder (README, surveys, reviews — with your permission, processed locally), asks up to ~15 adaptive questions covering only the gaps, challenges your goal, then surfaces everything the methodology finds: risks (every weak node on the chain to profit, traced upstream), growth points (kill a Job, Previous/Next Job, climb a level, adjacent-segment Small Jobs, underserved criteria), risky assumptions (RAT) — then says what to tackle first and which skill executes it. The front door for LIVE products, as nmt-market-research is for new ideas. Use when the user says "diagnose my product", "what should I do next", "a metric dropped", "where are my risks / growth points", or is unsure what to work on. Writes nothing unless asked. Plain language; defaults to English.

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Generate the strongest possible Value Proposition for a chosen segment using Ivan Zamesin's AJTBD / Next Move Theory methodology (distinct from generic Christensen JTBD). Input — a /nmt-market-research result OR a manual segment+Jobs description. The skill extracts the segment's dominant success criteria, builds the Job Graph + Critical Chain of Jobs substrate, generates value hypotheses by walking the value-creation mechanics catalog over that graph, filters them on feasibility, cost-to-build, unit economics, and competitiveness, ranks by RICE, and surfaces a primary + supplementary value proposition with top-3 RAT cards and a PRD-ready implementation spec that feeds /nmt-product-requirements. Use when the user wants a value proposition, differentiation, or asks "how do we win this segment". Two modes — Quick (default, no internet) and Deep (subagents + web competitor mining). Plain language; defaults to English.

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Run market research for a product or feature idea using Ivan Zamesin's AJTBD / Next Move Theory methodology (distinct from generic Christensen JTBD). Output — an A4 one-pager with a GO / NARROW / PIVOT verdict plus a detailed report — market sizing, customer segments scored on the selection screen, competitors defined by Jobs, a differentiation hypothesis, an action-first risk plan, and ranked strategic options including alternative markets to pivot into. Use whenever the user wants to size a market, find or evaluate segments and Jobs, assess competitors, decide whether an idea is worth pursuing, or explore a pivot — even if they don't say "market research". Two modes — Quick (default; fast; no internet) and Deep (subagents + web research). Writes in plain language with methodology terms in parentheses. Defaults to English; adapts to the user's language.

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Generate an energy-optimized, time-blocked daily plan based on circadian rhythm research and GTD principles

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Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback. Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.

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Build personalized cold outreach sequences for LinkedIn and email. Use when someone needs to reach prospects, warm up cold leads, or build a systematic outreach engine. Covers research, connection requests, follow-ups, and conversion.

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Research any topic across Reddit, X, and web from the last 30 days. Get current trends, real community sentiment, and actionable insights in 7 minutes vs 2 hours manual research.

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Turn client wins into formatted case studies for proposals, social proof, and sales conversations. Use when someone needs to document results, build credibility, or create reusable proof assets.

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Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.

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Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.

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Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production.

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【强制】所有技术文档查询必须使用本技能，禁止在主对话中直接使用 mcp__context7-mcp 工具。触发关键词：查询/学习/了解某个库或框架的文档、API用法、配置参数、错误解释、版本差异、代码示例、最佳实践。本技能通过 context7-researcher agent 执行查询，避免大量文档内容污染主对话上下文，保持 token 效率。

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This skill should be used when someone wants to articulate, explore, or document their personal worldview, values, or philosophy. Triggers on "articulate my values", "figure out what I believe", "document my philosophy", "write a manifesto", "define my leadership philosophy", "explore my beliefs". Surfaces beliefs through systematic interrogation, identifies tensions, and generates narrative outputs.

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Use when first encountering an unknown binary, ELF file, executable, or firmware blob. Fast fingerprinting via rabin2 - architecture detection (ARM, x86, MIPS), ABI identification, dependency mapping, string extraction. Keywords - "what is this binary", "identify architecture", "check file type", "rabin2", "file analysis", "quick scan"

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This skill should be used when performing maintenance or diagnostics on remote Linux systems. Triggers on "remote server", "Linux maintenance", "Ubuntu cleanup", "Debian", "disk space", "apt cleanup", "journal vacuum", "snap cleanup", "system diagnostics". Provides structured three-phase checklists with quantification.

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Use when reverse engineering tools are missing, not working, or need configuration. Installation guides for radare2 (r2), Ghidra, GDB, QEMU, Frida, binutils, and cross-compilation toolchains. Keywords - "install radare2", "setup ghidra", "r2 not found", "qemu missing", "tool not installed", "configure gdb", "cross-compiler"

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