Use when the user asks to "monitor my launch", "track our Product Hunt / Hacker News ranking", or "watch the launch window"; runs the T-0 to T+30 window watch — pre-launch instrumentation verification (UTM/event checks, the upstream of RAMP P1), HN rank/points/comments polling with a comments-over-points flamewar early-warning (Estimated heuristic), PH votes/featured status, store charts and reviews, news echo, D0/W1/M1 KPI snapshots vs targets, spike-vs-sustain and owned-capture reads, and alert thresholds against the launch-tier KPI targets. Not for launch-day go/rollback calls — use launch-day-conductor; not for metric deep-dives — use performance-analyzer; not for SEO rank tracking — use rank-tracker. 发布监控/排名轮询/火焰战比/spike-sustain

Use when the user asks to "review this influencer content" or "check if this post meets brand guidelines"; runs the typed STAR pre-publish gate, scores Trust and Appeal on the deliverable, folds in the creator Suitability read, computes the profile-weighted SQS, checks the disclosure/claim/brand-safety and fraud/fake-engagement vetoes, and writes constructive revision feedback. Not for drafting the brief — use brief-generator; not for partnership terms — use contract-helper. 达人内容审核/发布前质检

Use when the user asks to "audit an email program" or "is this campaign safe to send"; runs a typed 20-item SEND profile with authentication, consent, opt-out, and claim veto checks on own evidence. Not for building deliverability setup — use deliverability-qa; not for designing lifecycle flows — use email-sequence-designer. 邮件质量审计/EQS评分/发送前放行

Use when auditing a paid ad account for incremental contribution, wasted spend, or measurement integrity before scaling; runs a typed 20-item ROAS profile with verified vetoes and a SHIP/FIX/BLOCK/UNDECIDED gate on own exported data. Not for campaign structure design — use campaign-architect; not for creative production — use ad-creative-builder. 付费广告账户审计/ROAS评分

猫猫把“打开文档、代码或日志”等模糊意图解析成本地绝对路径或 worktree 相对路径，并返回 applied、queued、blocked 或 unconfirmed 的真实 Workspace 投递状态。

大任务的主动拆解与多 thread 并行编排。 Use when: 任务涉及 2+ 个独立可交付子任务，需要不同猫参与、不同 thread 并行推进。 Not for: 单一任务（直接做）、已有 thread 之间的被动协调（用 cross-thread-sync）、单 session 内 subagent 并行（CLI 内置能力）、发现跨 scope 问题但已有归属 thread（用 cross_post_message，不要新建 thread）。 Output: 子 thread 创建 + 选猫 + 各 thread 交付 + 主 thread 汇聚报告。 GOTCHA: projectPath 是子 thread 的工作区/真相源归属，不是外部目标仓；社区 PR review 目标可以是 clowder-ai，但工作区仍可能应继承 cat-cafe。

技术文章对外写作：把内部实践变成读者能代入、证据可见的文字与页面叙事。 Use when: 写技术博客、公众号文章、社区分享、对外 longform、技术文章 review、文章配图与推广语。 Not for: 内部文档/spec（直接写）、PPT（用 ppt-forge）、单独生成图片（用 image-generation）、纯调研报告（用 deep-research）。 Output: 文章叙事弧 + claim/证据边界 + 视觉叙事图谱 + 页面级自检。

记忆系统多刀检索 + recall coverage 策略（8 类题型 recipe）。 Use when: 任务是 "哪些地方提过 X" / "X 的来源 / source map" / "有没有提过 Y / absence check" / "上次到现在变了什么 / delta" / 冷启动 onboard 复杂主题 / 任何召回任务搜了一刀觉得不够。 Not for: 只是选哪个入口走第一刀（用 memory-navigation）/ 已知精确 anchor 单 Read（直接 Read）/ 代码符号查（Grep/LSP）/ 新功能开发（不是 recall 任务）。 Output: 单一 owner 在一条任务链内完成多 query / 多 scope union + coverage matrix（item/source/谁提到/直接 vs 间接）+ 一次终局交付。 GOTCHA: 和 memory-navigation 互补不重叠 — memory-navigation 决定**第一刀走哪个工具**（search vs graph vs list_recent），本 skill 决定**要不要补刀 + 题型对应几刀几路 + 何时停**。Ragdoll家族必加载：opus 系治"我能猜出来 / 碎片够了"停太早病，fable 系治"再确认一轮"停太晚病（双向校准见正文）。

跨猫交接与 review 双路由。Use when: 交接、exact-HEAD external PR review task 或 PR tracking。Not for: 自己任务。Output: 五件套 + formal/advisory 分类 + provenance 路由。

Hub 内嵌浏览器预览 localhost 应用。 Use when: 写前端代码、跑 dev server、需要看页面效果、调 UI、operator说"看看效果"。 Not for: 后端纯 API 开发、不涉及页面的工作。 Output: 前端页面在 Hub browser panel 中实时预览。

Screen S&P 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP) and detect historical VCPs in a single ticker's price path. Identifies Stage 2 uptrend stocks forming tight bases with contracting volatility near breakout pivot points; in historical single-ticker mode walks a multi-year history and emits every VCP that formed with forward-outcome stats (breakout / stop-hit / timeout). Use when user requests VCP screening, Minervini-style setups, tight base patterns, volatility contraction breakout candidates, Stage 2 momentum stock scanning, or historical VCP pattern study on a specific ticker (e.g. FIX, TSLA).

Detect and analyze trending market themes across sectors. Use when user asks about current market themes, trending sectors, sector rotation, thematic investing, what themes are hot or cold, or wants to identify bullish and bearish market narratives with lifecycle analysis.

Validate multi-skill workflows defined in CLAUDE.md by checking skill existence, inter-skill data contracts (JSON schema compatibility), file naming conventions, and handoff integrity. Use when adding new workflows, modifying skill outputs, or verifying pipeline health before release.

Calculate risk-based position sizes for long stock trades. Use when user asks about position sizing, how many shares to buy, risk per trade, Kelly criterion, ATR-based sizing, fractional-share sizing, or portfolio risk allocation. Supports stop-loss distance calculation, volatility scaling, and sector concentration checks.

Build and open FinViz screener URLs from natural language requests. Use when user wants to screen stocks, find stocks matching criteria, filter by fundamentals or technicals, or asks to open FinViz with specific conditions. Supports both Japanese and English input (e.g., "高配当で成長している小型株を探したい", "Find oversold large caps with high ROE").

This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.

Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video.

Propose a GitHub issue as a MoltNet daemon task. Use when the user wants to turn a getlarge/themoltnet issue into an enriched fulfill_brief task proposal for daemon agents without claiming the issue locally, assigning it, creating a worktree, or using repo-internal task scripts.

Comet Native 工作流。当用户明确调用 /comet-native、要求启动或恢复 Native change，或入口路由到 Native 时使用。

Comet Native workflow. Use when the user explicitly invokes /comet-native, asks to start or resume a Native change, or the entry router selects Native.