AdvancingTitans

为股票或基金生成可恢复、可审计的机构化研究工作区。

全球股市深度复盘技能。用于 A股、港股、美股、日股、韩股和基金的当前行情、盘前/盘中/盘后复盘、证据驱动分析与公司研究；日韩使用免费免登录行情、独立交易日历，并在缺少一手财务时触发自包含的 primary-evidence-reach 能力。

检查当前数据源、浏览器接管边界和缺失字段。

复核已披露结构化财务事实，并明确财报研究缺口。

获取基金净值、画像、持仓和公开缺口。

根据当前时段生成 A 股或全球市场复盘。

读取已明确授权的本地持仓记忆，复核集中度、暴露和相对表现。

把量价、新闻样本和未知部分分开，审慎解释异动。

Create a bounded, read-only investigation from normalized Codex or Claude Code Run Records, optionally inspect explicit AET Proof and Freshness records, and export a Portable Evidence Bundle for an independent reviewer.

Run a bounded AET check of Agent instructions, Skills, verification contracts, and dangerous authority. Use only when the user explicitly invokes /aet-check or asks for this AET Quick check.

Deterministically check whether an AET proof still applies to the current workspace. Use only for an explicit /aet-fresh request.

Execute one explicit verification command and record a minimal hash-bound AET proof receipt. Use only when the user explicitly invokes /aet-proof or asks AET to prove a command ran.

Investigate whether an AI coding change matches the user's task and whether cross-module changes are necessary. Use only for an explicit /aet-scope request.

Compatibility entrypoint for AET Quick and advanced AET Lab workflows. Prefer the four dedicated Quick Skills for daily work; use this Skill only when the user explicitly asks for legacy CLI or Lab capabilities.

Held-out fixture with a mismatched directory name.

Held-out workflow guidance fixture.

当用户需要基于市场热点自主生成研究报告，或针对指定领域识别热点并生成专业研究报告时使用。支持实时工具驱动的趋势发现、深度多源分析与结构化报告输出。

Typeset professional documents and product landing pages: resumes, one-pagers, white papers, letters, portfolios, slide decks, landing pages. Warm parchment, ink-blue accent, serif-led hierarchy. CN uses TsangerJinKai02, EN uses Charter, JA uses YuMincho (best-effort). Triggers on "做 PDF / 排版 / 一页纸 / 白皮书 / 作品集 / 简历 / PPT / slides / Marp / markdown slides / マークダウンのスライド / 落地页 / 官网 / landing page / product page", or "build me a resume / make a one-pager / design a slide deck / turn this into a PDF / make this presentable / create a landing page".

Evidence-driven community pain research for product discovery. Runs public Reddit, Hacker News and V2EX collection; profiles communities, labels intent and relevance, and renders a source-linked nine-section report. Use for pain mining, user research, community evidence, micro-SaaS discovery, or product opportunity validation.

Use when designing, scaffolding, refactoring, or auditing Python CLI tools or CLI-related skills/templates, including command-first CLIs, configuration-driven tools, performance-oriented utilities, interactive assistants, data pipelines, LLM-enabled command line products, Typer, Click, argparse, uv, packaging, testing, and release workflows.