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CSV 数据自动分析与洞察生成工具
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
研究一个**已知的** GitHub 项目/repo，判断它对 LiYe Systems 的进化有没有可借鉴之处，产出定型的 evolution-recon 报告并归档到 recon-log。Use whenever the user gives a specific GitHub repo URL and asks to 研究/研读/消化/digest/study it, wants to know whether a project 对 LiYe / AGE / loamwise 有没有帮助/可借鉴/值得参考, asks "这个项目对我们有没有用", floats "看看 <repo> 有没有能学的", or types /github-digest — even if they never name the report format. This is the KNOWN-repo research step that sits UPSTREAM of github-scout (which DISCOVERS unknown repos) and source-intake (which INGESTS a chosen repo). Reach for it when the repo is already chosen and the real question is "is it worth our attention / what can LiYe learn". Do NOT use it to search/discover repos (that is github-scout) or to actually vendor/ingest a repo (that is source-intake).
Use when testing SFC v0.2 frontmatter compatibility.
Claude Skills 创建指南与最佳实践
SFC patched skill. Use when "ui-ux" is relevant.
内容研究与写作助手
视觉设计与艺术创作工具
| name | csv-summarizer |
| description | CSV 数据自动分析与洞察生成工具 |
| domain | 00_Core_Utilities |
| category | data-analysis |
| version | 1.0.0 |
| status | active |
| source | awesome-claude-skills |
| source_url | https://github.com/ComposioHQ/awesome-claude-skills |
| license | Apache-2.0 |
| skeleton | task |
| triggers | {"commands":["/csv-summarizer"],"patterns":["csv-summarizer"]} |
| inputs | {"required":[],"optional":[]} |
| outputs | {"artifacts":["SKILL.md"]} |
| failure_modes | [{"symptom":"Missing required inputs or context","recovery":"Provide the missing info and retry"},{"symptom":"Unexpected tool/runtime failure","recovery":"Rerun with minimal steps; escalate after 3 failures"}] |
| verification | {"evidence_required":true,"how_to_verify":["node .claude/scripts/sfc_lint.mjs <skill_dir>"]} |
| governance | {"constitution":"_meta/governance/SKILL_CONSTITUTION_v0.1.md","policy":"_meta/policies/DEFAULT_SKILL_POLICY.md"} |
来源: ComposioHQ/awesome-claude-skills 适配: LiYe OS 三层架构
自动分析 CSV 文件并生成综合洞察报告，无需用户手动提示即可识别数据模式并创建可视化。
当 Claude 需要分析 CSV 数据时：
用户: 分析这个销售数据 CSV
Claude: [使用 csv-summarizer 自动生成销售趋势、Top 产品、异常订单等洞察]
用户: 帮我分析这份关键词报表的性能
Claude: [使用 csv-summarizer 计算各关键词的 CTR、转化率，标记异常值]
用户: 从这个用户数据中找出有价值的洞察
Claude: [使用 csv-summarizer 生成用户分群、行为模式、留存分析]
此技能被以下业务域引用：
Created: 2025-12-28 | Adapted for LiYe OS