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CSV 数据自动分析与洞察生成工具
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
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