Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity, complexity, and risk management. No API key or registration required. Use when working with hedge fund data, systemic risk monitoring, financial stability research, hedge fund leverage or leverage ratios, counterparty concentration, Form PF statistics, repo market data, or OFR financial research data.

Python library for accessing, analyzing, and extracting data from SEC EDGAR filings. Use when working with SEC filings, financial statements (income statement, balance sheet, cash flow), XBRL financial data, insider trading (Form 4), institutional holdings (13F), company financials, annual/quarterly reports (10-K, 10-Q), proxy statements (DEF 14A), 8-K current events, company screening by ticker/CIK/industry, multi-period financial analysis, or any SEC regulatory filings.

Make commits reviewable and auditable as self-contained units, and order multi-file changes into atomic dependency-ordered waves. Use when planning commits, 'split this into commits', 'break this up', 'commit strategy', splitting work into waves, staging changes, reviewing branch history, or deciding whether a commit is too broad, too tiny, incomplete, or hard to revert.

Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.

通过 Limb 体系操作微信公众号：发布文章、上传图片、管理草稿。 Use when: 需要发布内容到微信公众号、查看草稿、检查公众号连接状态。 Not for: 其他平台的发布、纯文本聊天、非公众号相关操作。 Output: 微信公众号操作结果（发布ID、草稿列表、图片URL等）。

定时任务注册、管理、能力指南。支持周期任务和一次性延迟任务。 ⚠️ ROUTING: 定时/schedule/cron 需求优先用本 skill（Clowder AI 本地定时任务）， 不要用另一个叫 `schedule` 的 skill（那是云端 remote-agent，用途不同）。 Use when: 用户想设定时任务、定期提醒、周期巡检、定时发送内容、延迟执行一次性操作。 Not for: 已有 builtin 任务的手动触发。 Output: 注册/管理定时任务，任务到点唤醒猫执行。

猫猫辅助整理未分类 thread，分析标题和元数据，建议合适的标签。 Use when: 用户说"帮我整理"、"分类 thread"、点击整理按钮。 Not for: 删除/编辑标签本身。 Output: 按 thread 的标签建议列表。

Per-change refactoring mechanics: count callers exactly, decide inline vs keep, collapse duplicate switch branches, route raw access through a single typed boundary, surgical one-change-per-commit, post-refactor straggler sweep for stale JSDoc and dead exports. Use when actually editing code to clean it up, when deciding whether a 1-caller helper earns its keep, or when planning a sequence of small refactor commits. For the smell catalog use code-audit; for session-long simplification use collapse-pass.

Draft and review durable GitHub pull request titles and bodies for Epicenter. Use when creating a PR, running gh pr create, drafting or editing a PR body, writing changelog entries, linking issues, choosing merge strategy, or reviewing PR text. For local commits and branches use the git skill; for issue replies use github-issues. Never include Testing, Test Plan, or Verification sections in PR bodies unless explicitly requested.

场景引导交互模式：当用户在询问某项功能的使用/配置流程时， 先判断该直接解释还是进入交互引导；当系统已注入 Guide Matched / Guide Pending / Guide Selection / Guide Active / Guide Completed 时， 按状态驱动回复并使用对应 guide MCP 工具。 Use when: 系统注入了 Guide Matched / Guide Pending / Guide Selection / Guide Active / Guide Completed，或用户明确在问某项功能怎么操作。 Not for: 普通闲聊、代码实现、没有流程诉求的概念讨论。

将 mattpocock/skills 的内容翻译、刷新或复核到简体中文本地化仓库 vinvcn/mattpocock-skills-zh-CN 时使用这个项目级 skill。适用于 skill files、README content、CLAUDE.md、CONTEXT.md、docs，以及其他需要保留行为关键 identifiers 的上游用户可见内容。

Interview the user relentlessly about a plan to reach shared understanding, resolving each branch of the decision tree. Use when stress-testing a plan or "grill me".

Write and edit in GOV.UK / GDS house style: plain English, active voice, front-loaded content, sentence case, and no bold or italics for emphasis. Use when the user asks for GOV.UK or GDS style, or when writing reports, research write-ups, or guidance for external readers. Not for repo docs, UI strings, commit messages, or code comments; those follow writing-voice.

Monitor dividend portfolios with Kanchi-style forced-review triggers (T1-T5) and convert anomalies into OK/WARN/REVIEW states without auto-selling. Use when users ask for 減配検知, 8-Kガバナンス監視, 配当安全性モニタリング, REVIEWキュー自動化, or periodic dividend risk checks.

In-code documentation, folder READMEs, code comments. Use when: "document this", "add JSDoc", "write a README", "explain this code", or writing README.md/JSDoc.

Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.

Run a continuous collapse-and-simplify pass that surgically removes indirection failing to earn its boundary. Use when the user says 'collapse pass', 'simplify pass', 'simplify this', 'reduce indirection', 'shrink the surface', 'find what to delete', when asking to audit a package for dead abstractions, when reviewing a pull request, branch, or recent merged change for simplification (isolated in a worktree), or when the goal is a sequence of small refactor commits that delete more than they add. When the target is the branching inside one function rather than a surface spanning files, use control-flow instead.

Present proposed code changes visually before implementing: before/after diffs, ASCII diagrams, comparison tables. Use when: "show me options for this change", "compare approaches", or a multi-file change needs a before/after comparison before editing. Not for planning questions with no concrete code change on the table.

Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", or invokes /caveman. A one-off "be brief" is not a trigger; this mode persists until switched off.

Write or refactor Mistral Vibe tests with proper decoupling. Use when adding behavior coverage, testing ports/adapters, replacing brittle mocks, creating fakes, adding characterization tests before refactors, or changing tests under tests/ for vibe/core, vibe/cli, vibe/acp, tools, config, sessions, skills, hooks, MCP, or setup.