Makers 开发专家团 CLI 命令参考 Skill — EdgeOne CLI 全部命令速查、 非交互 flag、环境变量管理、本地预览、build。 触发词:CLI 命令、edgeone 命令、命令行参考、makers dev、 makers build、makers deploy、env set、env ls。
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Makers 开发专家团 CLI 命令参考 Skill — EdgeOne CLI 全部命令速查、 非交互 flag、环境变量管理、本地预览、build。 触发词:CLI 命令、edgeone 命令、命令行参考、makers dev、 makers build、makers deploy、env set、env ls。
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Makers 开发专家团主理人 Skill — 协调前端、后端、AI Agent 三位专业成员, 在 EdgeOne Makers 平台上完成 Web 全栈开发与部署任务。 触发词:全栈开发、搭建并部署、帮我做一个 Web 应用、EdgeOne Makers 项目、 在 EdgeOne 上开发、一站式交付。
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Makers 开发专家团部署 Skill — 将前端/全栈项目部署到 EdgeOne Makers。 包含 CLI 安装、登录鉴权、一键部署、JSON 输出解析、URL 铁律。 触发词:部署、发布、上线、发版、deploy、publish、go live、 重新部署、deploy to EdgeOne。 当执行 edgeone makers deploy 命令时必须加载此 skill。
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When you want to create, adapt, or update an Agent Skill (Claude Code, Codex, Cursor, and other hosts) in one of your repos (listed in ~/.config/makerskills/skillify/repos.yaml; defaults to makerskills). Modes — CREATE (from chat, video, dump, or scratch) turns a workflow into a new skill. ADAPT ports an external skill with keep/adapt/add classification, license check, and attribution. UPDATE improves existing skills from learnings with cross-skill propagation, memory-vs-skill triage, and semver. Checks new skills for host portability. Triggers on "/skillify," "create a skill," "make this a skill," "skill from this chat," "adapt this skill," "port this skill," "fork this skill," "update X skill," "apply this to the relevant skills," "propagate this learning," "improve [skill]," "fix [skill]." Part of the -ify trifecta (skillify / toolify / loopify).
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Makers 开发专家团 AI Agent 工程师 Skill — Claude Agent SDK、 OpenAI Agents SDK、LangGraph、DeepAgents、CrewAI 框架集成, SSE 流式响应、conversation store、EdgeOne Makers Agent Runtime。 触发词:AI Agent、聊天机器人、LLM 应用、多 Agent 系统、 Claude SDK、OpenAI Agents、LangGraph、CrewAI、SSE 流式、 智能助手、AI 推理端点。
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Describe your ideal customer in plain language to find matching companies and decision makers. The skill adds company details and contact information, then presents a ranked lead table showing how closely each prospect matches your criteria.
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Find prospective customers resembling your best existing customers, identify relevant decision makers, and rank them by fit, buying signals, and ease of contact. Results include reasons to reach out, source information, and a full XLSX list.
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Maps people involved in a deal or account using CRM records, communications, or supplied files. Shows roles, engagement, and stance with evidence, identifies missing decision makers and dependence on one contact, and suggests paths to new relationships.
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When you want multiple expert perspectives on a founder/operator question — a simulated board of advisors (Jason Fried, Elon Musk, Jeff Bezos, Jensen Huang, Bob Iger, Paul Graham, Naval Ravikant, Sara Blakely). Bring a real decision — "should I raise prices?", "hire my first employee?", "raise or bootstrap?", "kill this project?" — and the council weighs in through documented frameworks, surfaces disagreements, and synthesizes a recommendation. Also use for 'maker council,' 'board of advisors,' 'what would Bezos do,' 'what would Jason Fried say,' 'channel Naval,' 'ask the council,' or how a famous founder would approach a problem. Optional live-research pass via deep-research / watch-video / last30days. Marketing questions go to marketing-skills' marketing-council. Archives to ~/.config/makerskills/maker-council/archive/. To commit to a direction, hand off to decide.
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When you want multi-source, multi-step research on a topic — competitor research before a sales call, market research for a new business idea, positioning angles, due diligence on a partnership or podcast guest, tech decision research (which DB, which auth), or any "I need to actually understand X." Combines web search, URL fetch, agent-browser, last30days (Reddit/X/YouTube/HN/web recency), memory, and Notion. Outputs a structured brief with citations, contradictions, gaps, and recommended next steps. Archives every research run to ~/.config/makerskills/deep-research/archive/ so past work is searchable. Triggers on "/deep-research," "research X," "investigate X," "do a deep dive on X," "look into X," "what's actually happening with X," "due diligence on X," "validate this market." Differs from a one-shot web search: this is multi-pass with verification.
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When you want to pressure-test a potential new business, product, or side project against the serial-founder filter. Not "marketing ideas for a product" (that's marketing-skills:marketing-ideas) — this is "should this business exist + can you win it." Runs the idea through a structured framework (problem, audience, wedge, monetization, moat, portfolio fit, distribution, energy fit, opportunity cost), checks domain availability via /domain, optionally triggers /deep-research for market validation, and outputs a viability brief: build / sleep on it / pass. Archives every idea to ~/.config/makerskills/business-brainstorm/archive/ so past work is searchable. Triggers on "/business-brainstorm," "/brainstorm," "new business idea," "should I build X," "pressure test this idea," "validate this idea," "is X a good business," "what about a [type] for [audience]."
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When you want to model personal financial scenarios — house purchase + rental income (ADU, bedroom rentals, house-hacking), renovation budgets, monthly cash flow, big-purchase decisions, savings/investment what-ifs for a household. Ships with a house scenario template; other scenarios (refi, car, education, retirement, side income) slot in as templates. Outputs markdown scenario comparison tables. Saves scenarios to ~/Documents/personal-cfo/ with an index in ~/.config/makerskills/personal-cfo/archive/. Composes with decide, deep-research (rental comps, rates), business-brainstorm, second-brain. Triggers on "/personal-cfo," "model this scenario," "house math," "rental forecast," "monthly cash flow," "what if I rent out the ADU," "compare these housing scenarios," "should we buy this house," "house-hack math," "renovation budget."
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When you have a decision to make and want a structured workflow that picks the load-bearing questions, walks through them, reaches a call (or "wait"), and archives the rationale for future reference. Based on the 37signals Guide to Making Decisions (38 questions) plus house additions like Q39 opportunity cost ("what does saying yes displace?"). Triages to 6–8 relevant questions per decision instead of forcing the full set. Archives every decision to ~/.config/makerskills/decide/archive/ with a revisit date so you can check later whether the call was right. Triggers on "/decide," "help me decide," "should I [X]," "I need to make a decision about," "stuck on a decision," "deciding between," "go/no-go on," "what should I do about." This is both the decision-making workflow AND the decision log — making the decision is the act of logging it.
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Gary Vaynerchuk's jab-jab-jab-right-hook framework applied to a personal portfolio rotation on X and LinkedIn. Jabs = build-in-public + educational (value). Hooks = promo (the ask). Each property in the user's configured portfolio (see `~/.config/makerskills/jab-hook/properties.yaml`) gets a hook at least once every ~3 weeks; jabs fill the rest. Drafts go into the user's Typefully workspace via MCP. Modes — plan (7-day plan), pick-next (single post), audit (coverage report), draft (specific post). Triggers on "/jab-hook," "what should I post," "plan my socials," "next promo," "next jab," "next hook," "social rotation," "promote [property]," "BIP post," "audit my socials," "what haven't I posted about."
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When a solution seems impossible and the path forward is blocked. Refuses to take no for an answer: classifies what kind of "no" you hit, then runs lateral-thinking techniques (assumption autopsy, inversion, first principles, constraint toggling, analogical transfer, and more) until the wall cracks or is proven load-bearing. Generates at least 10 angles before evaluating any. AGENTS: use this on yourself when an API doesn't support what you need, an approach has failed twice, or a "that's not possible" sentence is forming — run the fast path BEFORE reporting a dead end. Archives walls to ~/.config/makerskills/unstuck/archive/. Sits upstream of decide. Triggers on "/unstuck," "I'm stuck," "this seems impossible," "we hit a wall," "there's no way to," "they said no," "dead end," "out of options," "I've tried everything," "work around this."
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Makers 开发专家团前端工程师 Skill — React/Vue/Next.js/Nuxt/Astro 前端开发, 静态页面、SPA/MPA、Tailwind CSS 样式、前端工程化。 触发词:前端页面、UI 组件、React 开发、Vue 开发、Next.js 页面、 搭一个前端、SPA、静态站点、Tailwind 样式。
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Makers 开发专家团后端工程师 Skill — Edge Functions (V8)、 Cloud Functions (Node.js/Go/Python)、Middleware、KV/Blob 存储开发。 触发词:后端 API、Edge Function、Cloud Function、Middleware、 KV 存储、Blob 存储、Express、FastAPI、Gin、鉴权、数据库。
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Review Solidity automated market makers, liquidity pools, and token swaps using security checklists and safer code examples. Check repeated calls during transfers, manipulated prices, share calculations, swap limits, and administrator permissions.
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Rework a messy startup presentation into a coherent HTML slide deck for decision makers. Organize the narrative and evidence, then apply a consistent visual system of pastel-neon blocks, bold black borders, and coordinated layouts.
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Build a prioritized list of potential buyers for a company sale. Assess corporate acquirers and investment funds by business fit, financial capacity, and acquisition activity, then organize leading candidates and contact plans in Excel.
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Plan complex enterprise sales by mapping stakeholders, checking qualification with MEDDICC, a framework for assessing deals, and building shared action plans. Review buyer alignment, purchasing steps, and customer participation to identify stalled opportunities and next actions.
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Create resumes for C-suite, VP, and director roles that connect leadership actions to business results. Organize measurable achievements, profit and loss responsibility, organizational transformation, and board experience into a clear narrative for executive recruiters and decision-makers.
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Design and build name generators, personality quizzes, avatars, and similar interactive tools. Plan simple inputs, result logic, and visually clear result cards that people can share through social buttons or screenshots.
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Create a detailed legal risk assessment for a feature that needs closer review. Describe potential harm, likelihood, severity, and safeguards, then compare practical options and recommend a path in a standalone document for decisionmakers.
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