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过高易出货\n  - 过低易炸板\n\n### 辨识度\n- 叠加多重题材（如\"人工智能+算力\"）\n- 或为行业龙头公司\n\n## 实战流程\n\n1. 板块爆发时，先找第一个涨停的标的\n2. 看封单强度和题材正宗度\n3. 锁定龙头后直接跟进\n4. 避免在跟风股上浪费时间\n\n## 排除杂毛的特征\n\n- 跟风涨停，非板块引领者\n- 封单量小，易被砸\n- 题材不正宗，纯炒概念\n- 换手率异常（过高或过低）\n\n## 触发场景\n\n- \"谁是AI板块龙头\"\n- \"这个板块谁是真龙\"\n- \"能追吗还是买跟风股\"\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn757zq4fyq9h7sqtfn5mv05p983ez21\",\n  \"slug\": \"a-stock-leader-identification-1-0-0\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1776322564880\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nThis skill helps agents identify likely leading A-share sector stocks using short-term trading signals such as first limit-up, order-book strength, consecutive limit-up days, turnover, theme fit, and company leadership.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[xuyp20060323](https://clawhub.ai/user/xuyp20060323)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and trading-focused agents use this skill to frame short-term A-share sector-leader screening and avoid follower-stock candidates. Outputs should be treated as educational heuristics, not personalized financial advice.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Short-term speculative stock-selection guidance could be mistaken for personalized financial advice.\n\nMitigation: Present outputs as educational heuristics and require independent research, suitability review, and risk controls before any trading decision.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/xuyp20060323/skills/a-stock-leader-identification-1-0-0)\n\n## Skill Output:\n\n**Output Type(s):** [text, guidance]\n\n**Output Format:** [Markdown or plain text guidance]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Educational stock-selection heuristic; not personalized financial advice.]\n\n## Skill Version(s):\n\n1.0.0 (source: evidence.release.version and artifact/_meta.json)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.","readmeExcerpt":"Skill: A Stock Leader Identification 1.0.0 Owner: xuyp20060323 Summary: 快速找到板块内的\"真龙\"，识别龙头股。用于A股短线交易选股。 Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-16T06:56:04.880Z | auto Initial release of leader-stock-identification skill for A股短线交易选股. - Enables rapid identification of true sector leaders (\"真龙\") instead of follower stocks. - Uses specific signals: first涨停 in the sector and substantial封单量. - Validates stren","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: leader-stock-identification\ndescription: 快速找到板块内的\"真龙\"，识别龙头股。用于A股短线交易选股。\n---\n\n# 龙头股识别 Skill\n\n## 核心能力\n\n快速找到板块内的\"真龙\"，而不是跟风杂毛。\n\n## 龙头股识别规则\n\n### 启动信号\n- 板块内第一个涨停\n- 封单量占流通盘比例 > 1%\n\n### 强度验证\n- 连续2日涨停\n- 换手率保持在 10%-20%\n  - 过高易出货\n  - 过低易炸板\n\n### 辨识度\n- 叠加多重题材（如\"人工智能+算力\"）\n- 或为行业龙头公司\n\n## 实战流程\n\n1. 板块爆发时，先找第一个涨停的标的\n2. 看封单强度和题材正宗度\n3. 锁定龙头后直接跟进\n4. 避免在跟风股上浪费时间\n\n## 排除杂毛的特征\n\n- 跟风涨停，非板块引领者\n- 封单量小，易被砸\n- 题材不正宗，纯炒概念\n- 换手率异常（过高或过低）\n\n## 触发场景\n\n- \"谁是AI板块龙头\"\n- \"这个板块谁是真龙\"\n- \"能追吗还是买跟风股\""},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn757zq4fyq9h7sqtfn5mv05p983ez21\",\n  \"slug\": \"a-stock-leader-identification-1-0-0\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1776322564880\n}"},{"path":"skill-card.md","content":"## Description:\n\nThis skill helps agents identify likely leading A-share sector stocks using short-term trading signals such as first limit-up, order-book strength, consecutive limit-up days, turnover, theme fit, and company leadership.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[xuyp20060323](https://clawhub.ai/user/xuyp20060323)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and trading-focused agents use this skill to frame short-term A-share sector-leader screening and avoid follower-stock candidates. 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