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面向自媒体作者的文风 DNA 提取与分析技能。从历史文章中建立可复用的风格画像，输出 14 维分析、段落配方、叙述方法体系、内容推进方式等，供改写阶段调用。
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Based on SOC occupation classification
美股港股全栈数据工具包 — 覆盖行情(新浪+腾讯+东财push2)、K线(新浪+Yahoo)、技术指标(MA/MACD/RSI/KDJ/布林带)、基本面(东财datacenter三表+GMAININDICATOR+Yahoo quoteSummary+SEC XBRL)、资金面(东财push2his日级资金流)、期权(Yahoo)、SEC Filing(EDGAR)、搜索与工具(东财search+Yahoo+SEC CIK+全市场列表)八层数据源，内嵌全部调用代码，自包含零依赖外部文件。适用于美股港股个股分析、全市场筛选、财报解读、期权策略、SEC文件检索、资金流追踪、机构持仓分析等场景。
Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.
Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.
This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.
Survey a codebase's animation and motion code as a senior motion advisor, then produce a prioritized audit and self-contained implementation plans for other agents (or cheaper models) to execute. Read-only on source code — it plans improvements, it does not apply them. Use when the user asks to "improve the animations", "audit the motion", "make this app feel better", or wants a roadmap of animation fixes rather than a review of a single diff.
Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.
| name | dasheng-style-profiler |
| description | 面向自媒体作者的文风 DNA 提取与分析技能。从历史文章中建立可复用的风格画像，输出 14 维分析、段落配方、叙述方法体系、内容推进方式等，供改写阶段调用。 |
将"像不像这个作者写的"从主观感觉，变成可执行、可复用、可迭代的显式资产，为 rewrite 阶段提供个人风格 DNA。
DASHENG_WORKSPACE=${DASHENG_WORKSPACE:-/Volumes/PSSD/Projects/公众号文章}${DASHENG_WORKSPACE}/风格库/{作者}/风格画像.md${DASHENG_WORKSPACE}/风格参考/{作者}/）references/style-14d-framework.md）使用下列四层共 14 维（详见 references/style-14d-framework.md）：
按以下顺序输出：
样本概况14维风格分析标点符号偏好分块习惯段落配方叙述方法体系内容推进方式Few-shot 示例段落情绪曲线分析起承转合模板可复用 Prompt Block风格画像文件路径最终画像默认保存到：
${DASHENG_WORKSPACE}/风格库/{作者}/风格画像.md${DASHENG_WORKSPACE}/风格库/{作者}/style_dna.yaml（结构化数据）如果用户未指定作者目录，降级保存到：
/tmp/{author_slug}-style-profile.md生成的风格画像可在 rewrite 阶段使用：
# rewrite 时指定个人风格 DNA
python3 scripts/rewrite_with_personal_dna.py --dna-path "${DASHENG_WORKSPACE}/风格库/{作者}/风格画像.md"
.md.txt.docx（先提取文本再分析）最终文档结构使用：
references/style-profile-template.md