xy-casefile

XY 商业与私域操盘系统（私域为主体，流量与 AI 为私域自带能力）：45 个正式 Skill + 教练智能体 xy-coach，由 /xy 主入口按业务阶段路由。

7 skills · 1 agent · hooks

内容生产 AI 流水线——先审计你现在从想法到发布每一步是谁在做、卡在哪，再判定哪一步该给 AI、哪一步必须留人，然后把想法→选题→逐字稿→切片→标题→发布排雷编排成一条有交接物的流水线，教你"某个环节 AI 跑通了就固化成 skill"的方法，并划清文风复制的正当边界（复制结构，不复制别人的稿）。用户说"我想搭一条 AI 内容流水线""哪一步能让 AI 干""这个环节怎么固化成 skill""怎

1 skill

把这一轮聊出来的结论、否掉的路、待验证的假设，写成一份本地存档，下次接着用；顺带管存档放在哪。用户说「这个结论留着」「存一下」「记下来」「保存这次诊断」「存档放哪」「换个存档位置」时用。 Trigger: /xy-archive, "save this", "remember this", "where are my archives"

1 skill

把本地内容资产抽成 XY 原子入库——指定一个目录（文稿/逐字稿/推文/课件），按原子标准抽成 jsonl 写进 incoming/：先审计、抽 3 篇样本过用户确认、再批量、去重、验收，最后提示 build_atoms 入库。用户说「把这些稿子做成原子」「把我的逐字稿入库」「批量提炼观点」时使用。

1 skill

商业模式诊断。两种工作方式：问诊（把你带来的那个问题先拆开，看它成不成立，再决定答不答）和体检（用 XY 七项检查把你的生意从净利润到成长阶段过一遍，出报告）。用户说「帮我看看我这个生意」「诊断一下我的模式」「我有个商业问题」「我这个盘子哪里不对」「到底该不该继续做」「帮我算算到底赚不赚钱」时触发。

1 skill

把一个项目下攒起来的多份 xy-archive 存档，按时间线合成一份能发给合伙人、能存档、能三个月后回看的 markdown 诊断报告。用户说「出份报告」「打包一下」「整理成一份给合伙人看」「把这几次的结论合起来」时用。 Trigger: /xy-brief, "make me a report", "package these up"

1 skill

Editorial diagrams in your brand, as self-contained HTML and SVG. Architecture, flowcharts, sequence, state machines, ER and database schemas, timelines, swimlanes, org charts, Gantt, Wardley maps, user journeys, service blueprints, UML class, lifecycle phase maps, and charts from bar, line and scatter to Sankey, treemap and heatmap, plus many more. Redraws draw.io, Mermaid, Excalidraw and PlantUML files. Exports SVG and PNG.

1 skill · 7 commands

Build powerful, stateful CLI interfaces for any GUI application using the cli-anything harness methodology.

5 commands

Generate and publish a living project status page — overview & success criteria, the workstream sequence, and next steps — as a shareable claude.ai artifact backed by a per-project config, so refreshes re-gather live state, redeploy the same URL, and report only the delta.

1 skill

Portable operating method: session lifecycle agents, pre-ship code review, deploy with live verification and state doc update, and production log health check

5 agents

14 bundled product skills with 19 Python tools: product-skills fork-orchestrator with continuous-discovery loop (deterministic 16-lane router, Torres cadence tracker, OST linter, /cs-product + /cs-grill-product + /cs-product-loop), product manager toolkit (RICE, PRDs), product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, spec-to-repo, design-qa (UI finish gate: inert controls, missing states, rendered WCAG 2.2 checks). Companion standalone plugins: agile-product-owner, code-to-prd, apple-hig-expert, research-summarizer, design-qa.

14 skills · 3 commands · 1 agent · hooks

Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).

19 skills