Market Analysis
qusong0627/QuantMind
市场分析报告(大盘快照版)— 复用市场分析页面全部数据能力:核心指数、市场广度与情绪温度、行业板块/热门概念热力图、行业多日涨跌幅对比(1/3/5日)、板块资金流(1日/5日/10日)、个股主力资金 Top20、标签体系统计。用户说「市场分析」「大盘分析」「行情分析」「今天市场怎么样」「市场报告」时使用:跑取数脚本(marketanalysis.py)→ AI 基于 facts 撰写解读 →…
当用户面对大量杂乱信息(用户反馈、竞品数据、市场报告、内部指标)需要从中提取决策信号时激活. An agent skill from kangarooking/mao-selected-works-skill.
$ npx skills add kangarooking/mao-selected-works-skill --skill shishiqiushi-sigao -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kangarooking/mao-selected-works-skill shishiqiushi-sigao --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/shishiqiushi-sigao .claude/skills/shishiqiushi-sigao && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "shishiqiushi-sigao" agent skill from https://github.com/kangarooking/mao-selected-works-skill/tree/main/shishiqiushi-sigao into .claude/skills/shishiqiushi-sigao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shishiqiushi-sigao", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/kangarooking/mao-selected-works-skill/tree/main/shishiqiushi-sigaoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add kangarooking/mao-selected-works-skill --skill shishiqiushi-sigao -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kangarooking/mao-selected-works-skill shishiqiushi-sigao --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/shishiqiushi-sigao .agents/skills/shishiqiushi-sigao && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "shishiqiushi-sigao" agent skill from https://github.com/kangarooking/mao-selected-works-skill/tree/main/shishiqiushi-sigao into .agents/skills/shishiqiushi-sigao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shishiqiushi-sigao", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kangarooking/mao-selected-works-skill --skill shishiqiushi-sigao -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kangarooking/mao-selected-works-skill shishiqiushi-sigao --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/shishiqiushi-sigao .cursor/skills/shishiqiushi-sigao && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "shishiqiushi-sigao" agent skill from https://github.com/kangarooking/mao-selected-works-skill/tree/main/shishiqiushi-sigao into .cursor/skills/shishiqiushi-sigao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shishiqiushi-sigao", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/kangarooking/mao-selected-works-skill.git --path shishiqiushi-sigao--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add kangarooking/mao-selected-works-skill --skill shishiqiushi-sigao -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kangarooking/mao-selected-works-skill shishiqiushi-sigao --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/shishiqiushi-sigao .gemini/skills/shishiqiushi-sigao && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "shishiqiushi-sigao" agent skill from https://github.com/kangarooking/mao-selected-works-skill/tree/main/shishiqiushi-sigao into .gemini/skills/shishiqiushi-sigao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shishiqiushi-sigao", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install kangarooking/mao-selected-works-skill shishiqiushi-sigaoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add kangarooking/mao-selected-works-skill --skill shishiqiushi-sigao -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/shishiqiushi-sigao .github/skills/shishiqiushi-sigao && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "shishiqiushi-sigao" agent skill from https://github.com/kangarooking/mao-selected-works-skill/tree/main/shishiqiushi-sigao into .github/skills/shishiqiushi-sigao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shishiqiushi-sigao", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kangarooking/mao-selected-works-skill --skill shishiqiushi-sigao -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kangarooking/mao-selected-works-skill shishiqiushi-sigao --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/shishiqiushi-sigao .opencode/skills/shishiqiushi-sigao && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "shishiqiushi-sigao" agent skill from https://github.com/kangarooking/mao-selected-works-skill/tree/main/shishiqiushi-sigao into .opencode/skills/shishiqiushi-sigao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shishiqiushi-sigao", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
shishiqiushi-sigao当用户面对大量杂乱信息(用户反馈、竞品数据、市场报告、内部指标)需要从中提取决策信号时激活. An agent skill from kangarooking/mao-selected-works-skill.
Shishiqiushi Sigao is an agent skill from kangarooking/mao-selected-works-skill. 当用户面对大量杂乱信息(用户反馈、竞品数据、市场报告、内部指标)需要从中提取决策信号时激活。 典型触发信号:"数据太多了不知道信哪个""用户说什么的都有""收到了一堆反馈但不知道结论是什么"。 不调用场景:信息已经结构化清晰、只需简单判断;或完全没有信息需要凭直觉决策。 与"调查研究法"的区别:本skill是信息处理(拿到原料后怎么加工),后者是信息采集(怎么拿到好的原料)。
Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `test-prompts.json`).
The repository describes itself as: An AI skill pack distilling Selected Works of Mao Zedong into reusable cognition, strategy, organization, and execution modules. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5058fe4. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Shishiqiushi Sigao loads about 899 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 115 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from kangarooking/mao-selected-works-skill at commit 5058fe4, republished under its MIT licence (© kangarooking). 115 words, ~899 tokens.
.claude/skills/shishiqiushi-sigao/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub."要完全地反映整个的事物,反映事物的本质,反映事物的内部规律性,就必须经过思考作用,将丰富的感觉材料加以去粗取精、去伪存真、由此及彼、由表及里的改造制作工夫,造成概念和理论的系统,就必须从感性认识跃进到理性认识。" — 《实践论》(1937年7月)
语言信号:用户提到"噪音太多""信号""核心信息""数据打架""表面和深层""本质"等词汇时,应激活此skill。
与相邻skill区分:
© kangarooking, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in shishiqiushi-sigao of kangarooking/mao-selected-works-skill.
Open the folder on GitHubat commit 5058fe4
Shishiqiushi Sigao next to the 3 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Shishiqiushi Sigao this skillkangarooking/mao-selected-works-skill | 115 | — | ~899 | Automated safety check: Pass | MIT | |
| Market Analysisqusong0627/QuantMind | 1.7k | — | ~1k | Automated safety check: Pass | AGPL-3.0 | |
| Jianmiezhan Jizhong Binglikangarooking/mao-selected-works-skill | 115 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Maodun Techuxingkangarooking/mao-selected-works-skill | 115 | — | ~811 | Automated safety check: Pass | MIT |
qusong0627/QuantMind
市场分析报告(大盘快照版)— 复用市场分析页面全部数据能力:核心指数、市场广度与情绪温度、行业板块/热门概念热力图、行业多日涨跌幅对比(1/3/5日)、板块资金流(1日/5日/10日)、个股主力资金 Top20、标签体系统计。用户说「市场分析」「大盘分析」「行情分析」「今天市场怎么样」「市场报告」时使用:跑取数脚本(marketanalysis.py)→ AI 基于 facts 撰写解读 →…
kangarooking/mao-selected-works-skill
当用户资源有限但面临多个机会/威胁,需要在多个方向间做取舍时激活。典型触发信号: "5个客户机会同时出现""要不要同时做ToB和ToC""资源不够分怎么办"。
kangarooking/mao-selected-works-skill
当用户准备套用一个成功方法论(别人的或自己过去的)到新场景时激活此skill。典型触发信号: "某公司用了X方法成功了,我们也该试试""我之前这么做有效,继续做""行业最佳实践是Y"。
kangarooking/mao-selected-works-skill
当用户作为弱势方面对强势竞争者、感觉"处处被动无法招架"时激活此skill. An agent skill from kangarooking/mao-selected-works-skill.
kangarooking/mao-selected-works-skill
当用户面对明显强于自己的对手(巨头入场、资源差距、品牌劣势)需要规划长期竞争策略时激活. An agent skill from kangarooking/mao-selected-works-skill.
kangarooking/mao-selected-works-skill
当用户即将基于二手信息(报告、传闻、他人的总结)做重大决策,或团队出现了"坐在办公室拍脑袋"的倾向时激活. An agent skill from kangarooking/mao-selected-works-skill.
kangarooking/mao-selected-works-skill
当用户面对多个相互交织的问题、无法判断优先级、陷入"什么都重要"的决策瘫痪时激活此skill. An agent skill from kangarooking/mao-selected-works-skill.
kangarooking/mao-selected-works-skill
当用户陷入"分析瘫痪"(想做但不敢行动)或"盲目行动"(做了但不总结不提升)时激活此skill. An agent skill from kangarooking/mao-selected-works-skill.
kangarooking/mao-selected-works-skill
当用户需要根据竞争对手的状态选择自己的行动节奏时激活此skill. An agent skill from kangarooking/mao-selected-works-skill.
当用户面对大量杂乱信息(用户反馈、竞品数据、市场报告、内部指标)需要从中提取决策信号时激活. An agent skill from kangarooking/mao-selected-works-skill. Shishiqiushi Sigao is an agent skill from kangarooking/mao-selected-works-skill.
Run `npx skills add kangarooking/mao-selected-works-skill --skill shishiqiushi-sigao -a claude-code`. Or copy the skill folder (shishiqiushi-sigao in kangarooking/mao-selected-works-skill) into .claude/skills/shishiqiushi-sigao in your project. Claude Code loads it when a task matches its description.
Run `npx skills add kangarooking/mao-selected-works-skill --skill shishiqiushi-sigao -a codex`. Or copy the skill folder (shishiqiushi-sigao in kangarooking/mao-selected-works-skill) into .agents/skills/shishiqiushi-sigao in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kangarooking/mao-selected-works-skill --skill shishiqiushi-sigao -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shishiqiushi-sigao, .gemini/skills/shishiqiushi-sigao, .github/skills/shishiqiushi-sigao and .opencode/skills/shishiqiushi-sigao in your project.
SKILL.md names no scripts, command-line tools or credentials: Shishiqiushi Sigao is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Shishiqiushi Sigao is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 899 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Shishiqiushi Sigao: Market Analysis (qusong0627/QuantMind, 1.7k stars), Jianmiezhan Jizhong Bingli (kangarooking/mao-selected-works-skill, 115 stars) and Maodun Techuxing (kangarooking/mao-selected-works-skill, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
kangarooking (a GitHub user) maintains it in kangarooking/mao-selected-works-skill, which has 115 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on May 2, 2026.
Source: kangarooking/mao-selected-works-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.