915 件 ・ 関連度順
概要と使いどころ
Use when the user wants WorkBuddy or another agent to remember an account's positioning, voice, boundaries, data, trust assets, personal IP story, and content rules across sessions. Trigger phrases: "账号档案", "记住我的账号", "写入记忆", "人设垂直", "信任名片", "brand profile", "account memory", "style guide". Do not use for one-off post drafting unless profile data is missing.
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。
Use when the user wants to start or reposition a Xiaohongshu account but is asking "what should I post" before clarifying monetization, timing, personal IP direction, or trust path. Trigger phrases: "小红书定位", "不知道做什么赛道", "怎么变现", "个人IP", "账号方向", "XHS positioning", "monetization first". Do not use for drafting a specific post; use topic or copy skills after positioning is clear.
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。
Use when the user wants to start or reposition a Xiaohongshu account but is asking "what should I post" before clarifying monetization, timing, personal IP direction, or trust path. Trigger phrases: "小红书定位", "不知道做什么赛道", "怎么变现", "个人IP", "账号方向", "XHS positioning", "monetization first". Do not use for drafting a specific post; use topic or copy skills after positioning is clear.
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。
Use when the user wants WorkBuddy or another agent to remember an account's positioning, voice, boundaries, data, trust assets, personal IP story, and content rules across sessions. Trigger phrases: "账号档案", "记住我的账号", "写入记忆", "人设垂直", "信任名片", "brand profile", "account memory", "style guide". Do not use for one-off post drafting unless profile data is missing.
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。
Use when the user has an AI-generated Xiaohongshu draft and wants it to sound more personal, concrete, platform-appropriate, and stronger in hook, retention, and interaction value. Trigger phrases: "去 AI 味", "不像我", "合规检查", "改得像真人", "开头不抓人", "没停留", "humanize draft", "platform check". Do not use for initial positioning or topic generation.
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。
You are an expert in Clay, the data enrichment and outbound sales platform that pulls from 75+ data providers to build rich prospect profiles. You help teams automate lead discovery, enrich contacts with firmographic and technographic data, score leads against ICP criteria, and trigger personalized outreach sequences — replacing manual research with automated, data-driven prospecting.
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。
AssemblyAI is a hosted speech-to-text API that transcribes audio and video files or live streams and adds speaker labels, sentiment, entity detection, PII redaction and LLM analysis of the transcript. Use when a user asks to transcribe a recording, label who said what, analyze call sentiment, redact personal data, stream live transcription, or summarize and question a transcript with LLM Gateway (the replacement for LeMUR).
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。
Expert in building portfolios that actually land jobs and clients - not just showing work, but creating memorable experiences. Covers developer portfolios, designer portfolios, creative portfolios, and portfolios that convert visitors into opportunities. Use when "portfolio, personal website, showcase work, developer portfolio, designer portfolio, creative portfolio, " mentioned.
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。
Email has the highest ROI of any marketing channel. $36 for every $1 spent. Yet most startups treat it as an afterthought - bulk blasts, no personalization, landing in spam folders. This skill covers transactional email that works, marketing automation that converts, deliverability that reaches inboxes, and the infrastructure decisions that scale. Use when "keywords, file_patterns, code_patterns, " mentioned.
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。
Designing anatomically plausible, visually distinctive creatures that communicate threat, personality, and role through form - from terrifying bosses to collectible companionsUse when "creature design, design a creature, design a monster, monster design, boss design, enemy creature, companion creature, pet design, wildlife design, alien creature, fantasy creature, horror monster, cute creature, pokemon style, creature anatomy, creature silhouette, creature movement, hybrid animal, ecosystem creatures, creature family, mount design, dragon design, beast design, creature, monster, boss, enemy, companion, wildlife, horror, cute, pokemon, anatomy, silhouette, locomotion, ecosystem, hybrid, fantasy, sci-fi, kaiju, cryptid" mentioned.
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。
World-class brand positioning expertise combining David Ogilvy's direct response wisdom, Emily Heyward's obsessive brand strategy (Red Antler), and Al Ries/Jack Trout's positioning classics. This skill answers: "What space do we own in the customer's mind, and why does it matter?" Brand isn't what you say about yourself - it's what others say when you're not in the room. Positioning isn't about creativity - it's about claiming territory in an overcrowded mind. Use when "brand positioning, positioning statement, brand strategy, category design, competitive positioning, how should we position, brand differentiation, value proposition, what makes us different, brand platform, brand values, brand personality, brand promise, brand manifesto, tagline, unique selling proposition, usp, category creation, own a word, mind share, brand, positioning, strategy, differentiation, category, competitive, values, identity" mentioned.
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。
The ultimate brand asset: a consistent, explorable universe generated by AI. This skill covers creating coherent brand worlds, consistent characters, architectural spaces, and visual universes that serve as the foundation for all marketing content. Traditional brand building creates guidelines. AI world building creates explorable realities. Characters with consistent personalities across thousands of images. Environments that feel like real places. Visual languages so coherent that any new asset feels like it belongs. This is where AI generation meets universe design. The practitioners of this skill don't just create images—they create the DNA that generates infinite consistent images. They build the source code for visual worlds. Use when "world building, brand world, universe, consistent character, character design, visual language, brand universe, style bible, world bible, coherent assets, character sheet, environment design, world-building, universe, character-design, consistency, visual-language, brand-world, style-guide" mentioned.
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。
Global content at the speed of AI. This skill covers the full spectrum of AI-powered localization: translation, cultural adaptation, voice localization, visual adaptation, and the orchestration required to take content from one language/market to 50. Traditional localization is slow, expensive, and creates bottlenecks. AI-powered localization enables simultaneous global launches, personalized content by market, and continuous localization as content evolves. But localization isn't just translation. It's cultural adaptation. It's knowing that colors mean different things in different cultures, that humor doesn't translate, that some messages must be completely reimagined for new markets. Use when "localize, localization, translate, translation, multi-language, international, global, multilingual, market adaptation, cultural adaptation, other languages, different countries, localization, translation, international, global, multilingual, cultural-adaptation, ai-dubbing" mentioned.
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。
Draft a personalized cold email to a prospect based on the SEO audit findings. Reads the audit JSON for the given domain, picks the 2-3 most impactful issues, and writes an outreach email that references specific data (current ranking, traffic value, named issues) so it doesn't look like spam.
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。
Create or improve SOUL.md files for OpenClaw agents. Use when the user wants to design an agent personality, rewrite an existing soul, align SOUL.md with IDENTITY.md, or prepare a soul for publishing on souls.directory with optional frontmatter.
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。
Cold email and outreach sequence design with personalization, deliverability optimization, follow-up cadence, and compliance (CAN-SPAM/GDPR). Use when the user asks about cold email, outreach sequences, email prospecting, cold outreach, or email deliverability for outbound.
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。
亚马逊管理之道 (亚马逊管理之道 (The Amazon Way — Amazon 自身的领导力与运营操作系统) — 这个 master skill 蒸馏的不是『在亚马逊平台上开店卖货』(那是跨境电商运营,已由 cross-border-ecommerce 另蒸),也不是 AWS 云技术架构;而是亚马逊这家公司『怎么运营自己、怎么做决策、怎么招人、怎么创新、怎么规划』的一整套可迁移的管理机制(mechanisms)与心智操作系统。面向想在自己团队/公司引入亚马逊式机制的创始人/CEO/高管/运营负责人(COO)、产品经理与技术产品经理(PM/PMT)、组织与流程设计者(chief of staff / ops)、以及在亚马逊工作或准备面试亚马逊(著名的 LP 行为面试 + Bar Raiser)的人。覆盖: (a) 第一性张力 — 亚马逊 OS 的核心世界观分歧: **机制 > 良好意图(Good intentions don't work, mechanisms do:问题不能靠『下次更努力』修复,要装一个带检查闭环的自我强化流程) ⇄ 可控输入指标 vs 滞后输出指标(管你能控制的 input 如选品/价格/在库/配送速度,而非 revenue/股价这类滞后又不可控的 output) ⇄ 长期主义 vs 季度业绩(Day 1、willing to be misunderstood、用现金流+飞轮长期投入,宁可牺牲短期利润) ⇄ 客户执念 vs 竞争对手执念(working backwards 从客户倒推,而非从竞品或『我们能造什么』正推) ⇄ 叙事备忘录 vs PPT(6-pager + 开会前静默阅读、动手前先写 PR/FAQ;写作逼出清晰思考,禁 PowerPoint) ⇄ 单线程负责人/两个披萨团队 vs 协调税(separable、autonomous、one owner per initiative,砍掉跨团队依赖) ⇄ 高标准可学习可传递 vs 与生俱来(insist on the highest standards + Bar Raiser 招聘门,标准是 domain-specific 且能教的) ⇄ 节俭催生创造力 vs 血汗文化(frugality/约束驱动发明 —— 但 frugality + 高压 bar + URA 强制淘汰 = 文化阴暗面批判) ⇄ 两类决策(Type 1 不可逆/单向门 慎重 vs Type 2 可逆/双向门 高判断力个人快速决策,别用重流程拖慢))**; (b) 核心机制(mechanisms,本行的『工具栈』其实是一套运营机制而非软件) — Leadership Principles(14 条→2021 增至 16 条,是一套运营语言和决策仲裁器)、Working Backwards(从客户倒推:动手前先写新闻稿+常见问答 PR/FAQ)、叙事备忘录(6-pager narrative / 1-pager + silent reading 静默阅读、禁 PPT)、Weekly Business Review(WBR + metrics deck 指标看板)、input/output metrics(可控输入指标体系、DMAIC 式指标选择)、年度规划(OP1/OP2 + S-Team goals)、Bar Raiser(招聘机制,独立于用人经理的抬杠者拥有一票否决)、Two-Pizza Team / Single-Threaded Leader STL / separable teams、Correction of Errors(COE 事故复盘 + 5 Whys 五问法)、Andon Cord(安灯绳,借自丰田,一线可拉停)、Flywheel(飞轮:低价→更多客户→更多卖家→更多选品→更低成本结构→更低价)、Type 1/Type 2(单向门/双向门决策分级)、Regret Minimization Framework(遗憾最小化,贝索斯创业决策法); (c) 心智模型层 — customer obsession(客户执念是所有 LP 之首)、long-term thinking / Day 1(第二天就是停滞衰亡)、invent and simplify、ownership(主人翁,不说 that's not my job)、bias for action(可逆决策就快,speed matters)、disagree and commit(充分反对后即便不同意也全力执行)、frugality、dive deep(深入细节、不靠代理指标脱离一线)、think big、are right a lot(用强判断力和证伪自己的能力多做对的判断)、earn trust、deliver results; (d) 工作流/SOP — 用亚马逊方式发起一个新产品/业务(先写 PR/FAQ→评审→倒推着造)、如何跑一场 WBR、如何写和评审一份 6-pager(叙事流程 + 静默阅读)、Bar Raiser 招聘 loop、年度规划(OP1/OP2→S-Team goals→输入指标追踪)、事故后的 Correction of Errors; (e) 知识正典(en-primary,极其丰富且可取一手) — 贝索斯致股东信 1997-2021(1997 首封是奠基文本,每年附在信末;Day 1、遗憾最小化、long term)、《Working Backwards》Colin Bryar & Bill Carr(2021,运营机制圣经)、《The Everything Store》Brad Stone(2013,公司史)、《Amazon Unbound》Brad Stone(2021,权力与阴暗面续作)、《Invent and Wander》贝索斯文集(2020)、《The Amazon Way》/《Think Like Amazon》John Rossman(前亚马逊高管)、Amazon 官方 Leadership Principles 页(amazon.jobs,一手)、HBR『The Institutional Yes』(2007 贝索斯访谈); (f) 行业大佬/figures — Jeff Bezos(创始人,源头教义)、Andy Jassy(现任 CEO,OS 超越创始人的证据 + AWS 缔造者)、Colin Bryar(前贝索斯影子/TPM,《Working Backwards》作者)、Bill Carr(前数字媒体 VP,《Working Backwards》作者)、Jeff Wilke(前全球消费者 CEO,运营架构师)、John Rossman(前亚马逊、机制布道者/顾问)、Brad Stone(记者/编年史作者,批判性外部视角); (g) 争议/批判(必须保留,不能洗白) — 文化阴暗面(NYT 2015『Inside Amazon: Wrestling Big Ideas in a Bruising Workplace』揭露高压职场)、仓储与一线劳工争议、URA(unregretted attrition 强制淘汰)与 stack-ranking 的残酷、frugality + 高 bar = 燃尽(burnout);机制能否迁出亚马逊(cargo-culting:在初创或非科技公司照搬 PR/FAQ/输入指标/Bar Raiser 常失败);是贝索斯个人天才(personality)还是制度化机制(institution)—— OS 在贝索斯卸任后于 Jassy 治下延续,是机制派的证据; (h) 流派/思想谱系 — **信徒/机制布道派(Bryar & Carr《Working Backwards》+ 前亚马逊 operator 顾问圈,信 mechanisms 可移植、任何公司可安装)** vs **批判派(Brad Stone《Amazon Unbound》+ NYT + 劳工视角,认为 OS 与高淘汰的残酷机器不可分割,不该被浪漫化)** vs **情境/规模怀疑派(机制之所以有效是因为亚马逊特定的规模/现金流/创始人权力,照搬到小公司=cargo cult)** vs **创始人中心 vs 制度中心之争(是贝索斯个人 vs 可传承的机制)**。不含: 在亚马逊开店卖货/选品/PPC/FBA 的卖家运营(=cross-border-ecommerce)、AWS 云技术架构与运维、通用 MBA 管理理论泛泛而谈、把普通商业常识包装成『亚马逊独家秘诀』。) Master OS — automated mastery of 亚马逊管理之道 (The Amazon Way — Amazon 自身的领导力与运营操作系统) — 这个 master skill 蒸馏的不是『在亚马逊平台上开店卖货』(那是跨境电商运营,已由 cross-border-ecommerce 另蒸),也不是 AWS 云技术架构;而是亚马逊这家公司『怎么运营自己、怎么做决策、怎么招人、怎么创新、怎么规划』的一整套可迁移的管理机制(mechanisms)与心智操作系统。面向想在自己团队/公司引入亚马逊式机制的创始人/CEO/高管/运营负责人(COO)、产品经理与技术产品经理(PM/PMT)、组织与流程设计者(chief of staff / ops)、以及在亚马逊工作或准备面试亚马逊(著名的 LP 行为面试 + Bar Raiser)的人。覆盖: (a) 第一性张力 — 亚马逊 OS 的核心世界观分歧: **机制 >
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。
GitHub 解封 — 账号封禁/限制/恢复的领域操作系统。覆盖：(a) GitHub 官方政策体系 (TOS / 可接受使用政策 / Trust & Safety 执行模式 / 公开申诉路径 / 受制裁地区解读)；(b) 封号原因诊断学 (spam / abuse / 制裁误标 / 2FA 丢失 / ToS 违规 / 账号劫持误判 / ban evasion 等子类型 + 症状→原因映射 + 自我分诊压测)；(c) 申诉实操 craft (写一封能让 T&S 快速判误伤的英文申诉信 + 升级阶梯 + 法务介入边界 + Don'ts)；(d) 制裁与合规硬边界 (OFAC SDN 名单 / 哪些国家或地区真不可达 / VPN 误判路径 / 中国大陆不是美国制裁地区的反复重申)；(e) 中国大陆开发者特别处境 (sanctioned region 误标 + SMS 验证不支持 +86/+852 + Gitee/GitLab/Codeberg/JihuLab 备用迁移 + 私有自托管 Gitea/Forgejo)；(f) 真实案例库 (~30+ 公开案例分类拆解：误伤 / 真违规 / 制裁误标三类各自赔率与申诉成功路径)。伦理锚绝不软化：不教 ban evasion / 不教撒谎式申诉 / 真违规承认改进 / 丢 2FA 无恢复因子则诚实告知 / 中国制裁误标靠申诉不靠换 VPN / 申诉 6 个月窗口必算清 / 约 3% (业内估) 真违规恢复 vs 约 79% (业内估) 误伤申诉成功率分层标。 (GitHub Account Reinstatement — the domain operating system for GitHub (and analogous platform) account suspension, restriction, appeal, and recovery. Covers: (a) GitHub official policy architecture (TOS / Acceptable Use Policies / Trust & Safety enforcement patterns / public appeals pathways / sanctioned-region interpretation); (b) suspension-cause diagnostics (spam / abuse / sanctions mis-flag / 2FA loss / ToS violation / account hijack false-positive / ban evasion taxonomy + symptom→cause mapping + self-triage pressure test); (c) appeal craft (writing an English appeal letter that gets T&S to fast-track a false-positive ruling + escalation ladder + legal-engagement boundary + Don'ts); (d) sanctions and compliance hard boundaries (OFAC SDN list / which countries/regions are truly unreachable / VPN false-positive paths / China is NOT a US-sanctioned region — repeated emphasis); (e) mainland China developer special circumstances (sanctioned-region mis-flag + SMS verification does not support +86/+852 + Gitee/GitLab/Codeberg/JihuLab fallback migration + self-hosted Gitea/Forgejo); (f) real-case library (~30+ public cases with categorized analysis: false-positive / genuine violation / sanctions mis-flag, each with win-rate and appeal success path). Ethical anchors absolutely not softened: do NOT teach ban evasion (creating new accounts turns a temp ban into a permanent one — the single biggest mistake); do NOT teach social engineering or lying in appeals (misuse + actually confirms violation); genuine violations: admit + improve beats denial; lost 2FA + no recovery factor → do not pretend recovery is possible; China sanctioned-region mis-flag → fix via appeal, not repeated VPN switching; appeal form 6-month window must be counted carefully; historical 约 3% (业内估) genuine-violation recovery vs 约 79% (业内估) false-positive appeal success rate stratification must be honestly labeled. Anti-samples (explicitly describe harm, never endorse): developer permabanned for ban evasion / open-source team org-banned for personal attacks in public issues / cases where repeated VPN switching escalated risk-control severity.) Master OS — automated mastery of GitHub Account Reinstatement — the domain operating system for GitHub (and analogous platform) account suspension, restriction, appeal, and recovery. Covers: (a) GitHub official policy architecture (TOS / Acceptable Use Policies / Trust & Safety enforcement patterns / public appeals pathways / sanctioned-region interpretation); (b) suspension-cause diagnostics (spam / abuse / sanctions mis-flag / 2FA loss / ToS violation / account hijack false-positive / ban evasion taxonomy + symptom→cause mapping + self-triage pressure test); (c) appeal craft (writing an English appeal letter that gets T&S to fast-track a false-positive ruling + escalation ladder + legal-engagement boundary + Don'ts); (d) sanctions and compliance hard boundaries (OFAC SDN list / which countries/regions are truly unreachable / VPN false-positive paths / China is NOT a US-sanctioned region — repeated emphasis); (e) mainland China developer special circumstances (sanctioned-region mis-flag + SMS verification does not support +86/+852 + Gitee/GitLab/Codeberg/JihuLab fallback migration + self-hosted Gitea/Forgejo); (f) real-case library (~30+ public cases with categorized analysis: fa
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。
摄影 (摄影 (Photography) — 以静态影像为产出的视觉创作 + 服务行业：从看见 → 用光 → 构图 → 拍摄 → 后期 → 交付的认知操作系统，覆盖商业摄影 (commercial: 产品/广告/电商/美食)、人像摄影 (portrait: 影楼/写真/婚礼/时尚/环境人像)、纪实与街头摄影 (documentary/photojournalism/street)，以及与之贯通的风光、新闻、艺术摄影。面向职业摄影师 / 助理 / 修图师 / 想转职业的资深爱好者 / 服务这行的人 (器材厂商、图库、后期外包、影楼运营)。覆盖: (a) 第一性张力 — **光 (light is the craft — 看光、控光、塑光：硬光/柔光、方向、色温、光比、布光是摄影第一性) ⇄ 器材 (gear — 相机/镜头/灯具迷信, 'GAS' gear-acquisition-syndrome, 'the best camera is the one you have with you' — 器材不是摄影)**; **决定性瞬间/抓取 (decisive moment, Cartier-Bresson, 等待与预判, 纪实/街头不可重来) ⇄ 构建/导演 (constructed/directed, 商业与人像是布光摆姿造光的'制造'而非'捕获')**; **前期/拍对 (get it right in camera, 曝光/白平衡/构图当场拍对) ⇄ 后期/暗房 (post/darkroom, Ansel Adams 'negative is the score, print is the performance' — RAW 冲洗/调色/修图是创作一半)**; **作者性/艺术表达 (vision, personal voice, 'photograph what you feel not what you see') ⇄ 服务性/商业交付 (client brief, 影楼标准化出片, 'shoot the brief not your ego', 摄影是生意)**; **真实/未操纵 (truth, photojournalism ethics, 不过度 PS, 新闻摄影伦理) ⇄ 修饰/理想化 (retouch, 商业人像液化磨皮, 广告的'谎言')**; **决定性技术参数 (曝光三角 aperture/shutter/ISO, 景深, 互易律) ⇄ 看见/眼力 (seeing, 'photography is about seeing not cameras', 构图/光感是 tacit 眼力)**; **胶片/慢/不可见 (film, 慢工, 不可即时回看, 暗房) ⇄ 数码/即时/海量 (digital, chimping, 连拍, 后期无限)**; AI 对摄影的冲击 ('是不是摄影'、生成式填充/换天/AI 修图、真实性危机); (b) 核心工作流 / pipeline (最标准、最易蒸高质量+CLI 化) — 通用链: 看光选光 → 曝光三角决策 (光圈定景深/快门定动静/ISO 兜底) → 测光与曝光 (评价/点测光, 向右曝光 ETTR, 直方图, 区域系统) → 构图 (三分法/引导线/框架/负空间/前景) → 对焦 → 拍摄 → 选片 culling → RAW 后期 (Lightroom/Capture One: 曝光/白平衡/色调曲线/HSL/局部) → 精修 retouch (Photoshop: 频率分离/液化/D&B) → 调色 grading → 输出交付 (色彩管理/sRGB/打印/图库上传); 子流派 SOP: 影棚商业布光 (主光/辅光/轮廓光/背景光, 三点布光, 光质修饰器 softbox/beauty-dish/grid)、婚礼/纪实一天流程、街头扫街、产品/电商台面、人像引导摆姿 posing & direction; (c) 工具栈 — 相机系统 (无反主导: Sony A 系 / Canon R / Nikon Z / 富士 X&GFX / 徕卡 M; 中画幅 Phase One/Hasselblad/GFX 商业; 残幅 vs 全幅 vs 中幅)、镜头 (大三元, 定焦 vs 变焦, 35/50/85 人像三剑客, 微距, 移轴)、灯具 (机顶闪 Godox/Profoto, 影室灯, 常亮 LED, 持续光 vs 闪光)、修饰器 (柔光箱/反光伞/束光筒/雷达罩/旗板)、测光/附件 (测光表, 灰卡, 三脚架, 滤镜 ND/CPL/渐变)、后期软件 (Adobe Lightroom Classic/CC 主导, Capture One 商业/影室, Photoshop 精修, DxO PhotoLab/PureRAW 降噪, Capture One vs Lightroom 之争, 国产: 醒图/泼辣 Polarr/Snapseed 移动端, RawTherapee/Darktable 开源, AI: Lightroom 生成式/Photoshop Generative Fill/Topaz Photo AI/Gigapixel/Luminar Neo)、色彩管理 (X-Rite/Calibrite 校色仪, ICC, 显示器)、图库/交付 (Pixieset/图虫/500px/视觉中国/Getty/Adobe Stock, 客片在线选片); (d) 知识正典 — Ansel Adams 'The Camera / The Negative / The Print' 三部曲 + 区域系统 (Zone System)、Henri Cartier-Bresson 'The Decisive Moment'、Michael Freeman 'The Photographer's Eye' (构图) 'The Photographer's Mind'、Bryan Peterson 'Understanding Exposure' (曝光入门圣经)、Scott Kelby 'Digital Photography Book' 系列 + Lightroom/Photoshop 书、Joe McNally 'The Hot Shoe Diaries / Sketching Light' (闪光灯)、Light Science & Magic (布光科学经典教材)、Roland Barthes 'Camera Lucida' (摄影哲学)、Susan Sontag 'On Photography'、John Szarkowski 'The Photographer's Eye'、National Geographic 摄影指南、Robert Capa / Sebastião Salgado / Steve McCurry (纪实)、Annie Leibovitz / Richard Avedon / Peter Lindbergh (人像/时尚)、Galen Rowell / Ansel Adams (风光); (e) figures/流派 — 风光/系统派 (Ansel Adams 区域系统奠基、Galen Rowell 探险风光、Marc Adamus); 决定性瞬间/纪实街头派 (Henri Cartier-Bresson 奠基、Robert Capa 战地、Sebastião Salgado 社会纪实、Steve McCurry、Vivian Maier、Daido Moriyama、森山大道/荒木经惟 日本派、Vivian Maier); 人像/时尚派 (Richard Avedon、Annie Leibovitz、Peter Lindbergh、Platon、Joey L、Lindsay Adler 时尚布光); 布光/教育派 (Joe McNally、Zack Arias 'one light'、Profoto/strobist David Hobby 'Strobist' 闪光灯启蒙博客、Karl Taylor 商业布光教学); 商业/广告派 (Chase Jarvis 'CreativeLive'创办+'best camera'、Joel Grimes、Tim Wallace 汽车); 后期/修图派 (Pratik Naik、Aaron Nace 'Phlearn'); 街头当代派 (Eric Kim 街头博客、Joel Meyerowitz、Saul Leiter 色彩街头); 中文圈 (李涛 'photoshop教学'、宁思潇潇 器材评测、thomas 'Thomas看看世界' 风光后期、阿刘 风光、668 人像); 哲学/批评 (Susan Sontag、Roland Barthes、John Szarkowski MoMA); (f) 行业话术/黑话 — 曝光三角 exposure triangle / 光圈 aperture f-stop / 快门 shutter speed / 感光度 ISO / 景深 DoF depth of field / 焦段 focal length / 等效 / 全画幅 full-frame vs 残幅 crop / 大三元 / 定焦 prime / 互易律 reciprocity / 向右曝光 ETTR / 直方图 histogram / 高光溢出 clipping / 动态范围 dynamic range / 宽容度 / 白平衡 WB
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。
企业财务与 CFO 视角 (企业财务与 CFO 视角 (Corporate Finance & the CFO Lens) — 面向创业公司与中小企业主/创始人/业务负责人的『看懂钱、管住钱、用好钱』的财务判断,不是考注会/中级职称的准则背诵,也不是投行卖方并购执行或 VC 投资人的看项目视角。覆盖: (a) 第一性张力 — 这行的核心世界观分歧: **利润是观点,现金是事实(权责发生制下的利润由收入确认时点、折旧摊销年限、存货计价、资本化与费用化的选择拼出来,是一组可辩论的判断;银行户头的钱是唯一不能辩论的事实——所以 CFO 看三张表的顺序是现金流量表→资产负债表→利润表,与外行相反) ⇄ 增长本身要烧钱(账面盈利的公司照样会因营运资金被增长吸干而倒闭:先付供应商、后收客户钱,规模越大缺口越大,这是『增长性破产』;所以现金转换周期比毛利率更早预警) ⇄ 记账合规派 vs 管理决策派(一套账是给税局与审计看的准则语言,另一套视图是给经营者看的贡献边际与单位经济;同一笔成本在两种语言里归属不同,把合规科目直接拿来做定价决策是中小企业最常见的错) ⇄ 全成本分摊 vs 贡献边际(把固定成本按产量分摊进单件成本,会在淡季得出『卖一件亏一件所以停产』的错误结论;边际思维只问增量收入是否覆盖增量成本,但长期只看边际会让公司永远收不回固定成本) ⇄ 预算是承诺 vs 预算是地图(传统年度预算把数字变成考核契约,导致部门年底突击花钱与藏预算;滚动预测与超越预算派主张预算只是当前最好的猜测,该月月刷新) ⇄ 融资是里程碑 vs 融资是负债(融资新闻稿把估值当成绩,但优先股、优先清算权、对赌与回购条款让创始人在低价退出时可能一分不拿;自筹派认为最便宜的钱是客户的预付款) ⇄ 估值方法之争(DCF 的数学严谨但对增长率与折现率假设极敏感,业内讥为『垃圾进垃圾出』;可比公司倍数简单但把市场情绪打包进来;早期公司两者都不成立,实际靠谈判与稀释目标倒推) ⇄ EBITDA 是不是有用(PE 与并购圈把它当经营现金流代理,巴菲特与芒格公开斥其忽略了折旧背后真实的资本开支;调整后 EBITDA 的『加回』项在业内被视为高危信号) ⇄ 财务是记分员 vs 财务是业务伙伴(传统财务事后出报表,财务 BP/FP&A 主张财务应在决策前进场做定价、投产、招人的经济性测算) ⇄ 中国中小企业的两套账现实 vs 合规红线(金税四期与社保入税之后,业内公认的做法是尽早并账,但这条张力必须如实呈现而不是装作不存在,也绝不给出规避税收的操作建议)); (b) 工具栈(记账层与决策层是两套东西) — 记账与 ERP(用友、金蝶、Odoo、QuickBooks、Xero、NetSuite、SAP Business One)、中国财税合规(电子税务局、金税四期发票与进销项比对、百望/航天信息电子发票、慧算账等代账 SaaS、个税与社保申报)、FP&A 与预算(Excel 与 Google Sheets 仍是绝对主力,之上是 Cube、Causal、Jirav、Mosaic、Runway、Abacum、Pigment、Anaplan、Planful)、现金流预测(Float、Fathom、13 周滚动现金流模板)、股权与 cap table(Carta、Pulley、AngelList、Excel 稀释模型,中国的股权代持与持股平台)、订阅计费与收入确认(Stripe Billing、Chargebee、Maxio)、费控报销(Ramp、Brex、Expensify、汇联易、分贝通)、BI 与看板(Power BI、Tableau、Metabase、帆软)、以及最被低估的纸笔工具(一页纸的驱动因素模型、贡献边际表、13 周现金日历)—— 选型的真正分岔是『公司在哪个阶段、由谁来维护这个模型』,不是厂商功能清单; (c) 心智模型层 — 三张表的勾稽关系(利润表的净利经现金流量表调整后落到资产负债表的未分配利润)、权责发生制与收付实现制的差、现金转换周期 CCC 与 DSO/DIO/DPO、营运资金与增长的耦合、贡献边际与盈亏平衡点、经营杠杆与固定成本结构、单位经济与 LTV/CAC 及回本周期、烧钱率与现金跑道 runway、自由现金流与业主收益 owner earnings、资本成本与机会成本、净现值与内部收益率、投入资本回报率 ROIC 与增长的价值条件(只有 ROIC 高于资本成本时增长才创造价值)、股权稀释与优先清算权的退出瀑布、递延收入是负债不是收入; (d) 工作流/SOP — 月度关账与管理报表包(关账日历、计提、对账、出具一页纸经营分析)、13 周滚动现金流预测的搭建与每周刷新、年度预算与滚动预测(自上而下目标与自下而上驱动因素模型的对撞)、定价与成本核算(标准成本、作业成本法、贡献边际定价与报价审批)、应收账款与账期管理(信用政策、账龄表、催收节奏、保理与供应链金融)、融资轮次建模(投前投后估值、期权池扩容对创始人的额外稀释、SAFE 与可转债转股、优先清算权下的退出分配)、投资决策与产能/招人测算(增量现金流、回收期、敏感性分析)、税务合规日历与汇算清缴、董事会与投资人财务包、尽调与数据室准备、以及财务模型的三表联动搭建; (e) 知识正典(en 一手极厚,中文一手集中在高校教授与准则原文) — 《Financial Intelligence》Berman & Knight(给非财务经理的入门标准)、《Financial Statements》Thomas Ittelson、Brealey·Myers·Allen《Principles of Corporate Finance》(公司金融教科书)、Damodaran 的估值三部曲与《Narrative and Numbers》及其 NYU 公开课与免费数据集、《Simple Numbers, Straight Talk, Big Profits!》Greg Crabtree(中小企业实操)、《Venture Deals》Feld & Mendelson(条款与稀释)、《Financial Shenanigans》Howard Schilit(识别财务粉饰)、《The Outsiders》Thorndike(资本配置)、《Accounting for Value》Penman、伯克希尔股东信中的业主收益与商誉摊销讨论、《The Essays of Warren Buffett》、《Profit First》Michalowicz(流行但有争议)、IFRS 15/16 与 ASC 606 收入与租赁准则原文、中国企业会计准则 CAS 与小企业会计准则、肖星《一本书读懂财报》与清华的财务分析公开课、张新民的财务报表分析体系; (f) 行业大佬/figures — Aswath Damodaran(NYU,估值教父,博客与公开课与数据集全免费开放,一手素材极厚)、Michael Mauboussin(ROIC 与资本配置的实证写作)、Howard Schilit(财务舞弊识别)、Karen Berman 与 Joe Knight(财务素养普及)、Greg Crabtree(中小企业现金与利润实操)、Brad Feld 与 Jason Mendelson(创业融资条款)、David Skok 与 Jason Lemkin 与 David Sacks(SaaS 单位经济与烧钱效率指标)、Warren Buffett 与 Charlie Munger(对 EBITDA 与股权激励费用化的著名批评)、CJ Gustafson 等现役 CFO 的时事通讯作者、以及中文圈的肖星与张新民等高校学者; (g) 争议/批判(必须保留不洗白) — 调整后 EBITDA 与非公认会计准则指标的滥用(把股权激励与一次性费用年年加回)、DCF 对假设的极端敏感与被用来事后合理化结论、独角兽估值与优先清算权造成的『纸面身价』幻觉、对赌与回购条款把股权融资变成隐性债务、Profit First 现金分桶法被专业会计批评为回避真实成本结构、作业成本法的实施失败率高、预算游戏与年底突击花钱、财务 BP 沦为报表美化、中国中小企业两套账的历史现实与金税四期后的合规收敛(如实呈现风险,不提供规避操作)、以及『融资额等于成功』的媒体叙事对创始人的误导; (h) 流派/思想谱系 — **准则与合规派(IASB/FASB/财政部,信可比性与审计留痕,语言是准则条文)** vs **管理会计/决策派(IMA 与贡献边际、作业成本法、有效产出会计,信决策相关性高于合规一致性)** vs **公司金融/估值派(Brealey-Myers-Allen 与 Damodaran,信现金流折现与资本成本)** vs **价值投资/资本配置派(巴菲特-芒格-Thorndike-Mauboussin,信业主收益与 ROIC,公开鄙视 EBITDA)** vs **创业与 SaaS 指标派(Skok-Lemkin-Sacks-Bessemer,信单位经济、回本周期与烧钱倍数)** vs **中小企业现金实操派(Crabtree、Profit First 一脉,信老板看得懂的少数几个数)**。不含: 投行卖方并购执行与尽调建模(已由 investment-banking-mna 覆盖)、VC 投资人的看项目与投后视角(已由 vc-investor 覆盖)、个人理财与二级市场投资(已由 personal-investing 覆盖)、注册会计师考证与准则条文背诵、以及任何税收规避操作建议。) Master O
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。
Browse Bluesky content via API and firehose - search posts, fetch user activity, sample trending topics, read feeds and lists, analyze and categorize accounts. Supports authenticated access for personalized feeds. Use for Bluesky research, user monitoring, trend analysis, feed reading, firehose sampling, account categorization.
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。
Authors and caches a personalized container environment from a Dockerfile- like spec, as a single layer or as a composition of independently cached layers. Use when the user mentions "container layer", "Containerfile", "custom container", "cache my installs", "composable layers", "uv shim", or wants package installations, skills and environment config to survive an ephemeral session. Also for snapshotting, restoring or rebuilding that environment, and for capturing ad-hoc installs into a reproducible spec.
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。
Email triage system that handles both one-time setup and recurring triage in a single skill. Auto-detects state: if no knowledge base exists at ${WORKSPACE}/Email/, runs an 8-section onboarding interview (grill-me discipline, one question at a time) to build a 7-file personalized KB, then offers to run triage immediately. If the KB already exists, skips setup and goes straight to triage — searches recent emails, classifies them via the user's taxonomy, researches new senders, generates TAKE IT/WORTH/PASS/FLAG recommendations, drafts replies (NEVER sends), delivers a report, and updates the KB. Use with 'update' argument to refresh preferences. Setup triggers: 'set up my inbox', 'configure inbox triage', 'set up my email system', 'configure email triage', 'build my email knowledge base', 'initialize email management'. Triage triggers: 'triage my inbox', 'inbox triage', 'check my email', 'run email triage', 'process my inbox', 'what's new in my email', 'handle my email', 'email triage'.
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。
Write personalized cold outreach emails to hiring managers and founders — specific, human, not a pitch deck
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。