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Agent Skill · 研究检索

analyze-project(分析项目)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

analyze-project 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 63,254。

总安装 318周安装 13GitHub Stars 1下载 102核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:analyze-project(分析项目)
来源仓库:https://github.com/olamedia/analytics-skills
仓库路径:skills/analyze-project
安装命令:
npx skills add https://github.com/olamedia/analytics-skills --skill analyze-project
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/olamedia/analytics-skills --skill analyze-project

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

analyze-project 用于辅助数据整理、表格处理、CSV/Excel 分析和指标计算。适合清洗字段、汇总数据、发现异常或生成统计口径说明。通过 npx skills add 命令从 GitHub 仓库安装,需确认权限与维护状态。使用时需确认数据来源和时间范围,避免将样本当全量事实。

涉及敏感数据导出时应先确认脱敏方式和操作边界。

来源仓库内路径:skills/analyze-project

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/olamedia/analytics-skills --skill analyze-proj…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

analyze-project 怎么安装?

在终端执行 npx skills add https://github.com/olamedia/analytics-skills --skill analyze-project。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

analyze-project 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

analyze-project 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

analyze-project 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

analyze-project 用的人多吗?

公开数据是累计安装 318 次,近一周安装 13 次,下载 102 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

analyze-project 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
analyze-project

分析项目 · 本页

3181需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Analyze Project

Scan a project and produce or update docs/TechStack.md and docs/ProjectStructure.md — living documentation that any AI agent session can read to instantly understand the project without re-scanning from scratch.

When to Use

  • Starting work on a project for the first time
  • Before any feature work when project docs don't exist yet
  • Periodically to keep docs current after codebase changes
  • After major refactors, dependency upgrades, or service additions

When NOT to use: docs/TechStack.md and docs/ProjectStructure.md exist and no significant structural changes (config files, directories, container configs) have occurred since the last scan.

Input

  • A project or workspace root (provided by user or detected from workspace)

Output

  • docs/TechStack.md — concise tech stack reference card
  • docs/ProjectStructure.md — operational project map
  • In monorepos: per-service copies under [service-path]/docs/

The Process

Step 1: Check Existing Docs

Check if docs/TechStack.md and docs/ProjectStructure.md exist at the project root.

If they exist, read them and extract the YAML frontmatter:

---
generated-by: analyze-project
date: 2024-03-14T12:00:00Z
commit: abc1234
---

If the files exist, hold their contents — you'll compare against fresh scan results later.

Step 2: Staleness Gate

Run git rev-parse --short HEAD to get the current commit hash.

If the commit field in frontmatter differs from HEAD (it usually will — it records the commit at last scan, not the latest), check what actually changed:

Run git diff --name-only <frontmatter-commit>..HEAD to get committed changes, and git status --short to get uncommitted changes (staged, unstaged, and untracked files). Combine both lists.

Evaluate whether the changes are significant for project docs:

  • Significant changes (trigger re-scan): new/removed/renamed config files (package.json, composer.json, docker-compose.yml, Dockerfile, Makefile, *.config.*, etc.), new/removed top-level directories, changes to .devcontainer/, CI config changes, README/INSTALL/SETUP changes
  • Insignificant changes (skip re-scan): source code changes within existing directories, test changes, asset changes, documentation changes in subdirectories

Decision:

  • Files don't exist → Proceed to scan.
  • Files exist, commits match HEAD → Report "Project docs are up to date." and stop.
  • Files exist, commits differ, only insignificant changes → Report "Project docs are up to date (no structural changes since last scan)." and stop.
  • Files exist, commits differ, significant changes detected → Report which files changed and proceed to scan.
  • No commit field in frontmatter → Proceed to scan.

If git is not available, skip this check and always proceed to scan.

Step 3: Ownership Check

For each existing file, check the generated-by field in YAML frontmatter:

  • generated-by: analyze-project present → Skill owns this file. Will update without asking.
  • File exists but no generated-by: analyze-project → Manually authored. Ask the user before overwriting:
"docs/TechStack.md exists but wasn't generated by this skill. Overwrite it? (yes/no)"

If user declines, skip that file and report findings in chat instead.

Step 4: Scan Root

List the project root directory. Read relevant files found:

Config files (reveal tech stack):

  • package.json, composer.json, Cargo.toml, go.mod, pyproject.toml, Gemfile, build.gradle, pom.xml, etc.
  • tsconfig.json, vite.config.*, webpack.config.*, nuxt.config.*, etc.

Container and dev environment:

  • docker-compose.yml / docker-compose.yaml
  • Dockerfile
  • .devcontainer/devcontainer.json

CI/CD:

  • .github/workflows/*.yml
  • .gitlab-ci.yml
  • Jenkinsfile

Documentation:

  • README.md
  • INSTALL.md, SETUP.md

Quality tooling:

  • Makefile
  • .eslintrc.*, eslint.config.*
  • .prettierrc
  • phpunit.xml, vitest.config.*, jest.config.*, pytest.ini

Start from the root listing. If root has enough config files, that's all you need. If root contains only a single folder (e.g., the repo wraps one project in a subdirectory), treat that folder as the effective root and list it instead. If root is unclear, run a quick glob for config files (**/{*.yml,*.yaml,*.json,*.toml,*.ini,*.md}) limited to a small number of results — the paths reveal where projects and services live (e.g., services/api/package.json). Then read those directories. Avoid full recursive filesystem scans.

Step 5: Detect Monorepo

Check for monorepo signals from what was found in Step 4:

  • Directories named apps/, services/, packages/ at root
  • docker-compose.yml defining multiple services with build contexts
  • Workspace config in package.json (workspaces field) or pnpm-workspace.yaml
  • Multiple Dockerfile references in different subdirectories

If monorepo detected, identify service directories and their names.

Step 6: Scan Services (monorepo only)

For each service directory identified in Step 5, apply the same root-reading approach:

  1. List the service directory
  2. Read its config files (package.json, composer.json, Dockerfile, etc.)
  3. Read its README.md if present
  4. Note its doc location, dev/lint/test commands

Step 7: Write Docs

Use the templates from references/formats.md.

Single project:

  • Write docs/TechStack.md with tech stack reference card
  • Write docs/ProjectStructure.md with operational project map
  • ProjectStructure.md ends with a "See Also" link to DatabaseStructure.md

Monorepo:

  • Write root docs/TechStack.md with shared stack + per-service summary
  • Write root docs/ProjectStructure.md with service table and monorepo-level overview
  • For each service, write [service-path]/docs/TechStack.md and [service-path]/docs/ProjectStructure.md
  • Create docs/ directories if they don't exist

All files get YAML frontmatter with:

  • generated-by: analyze-project
  • date: current ISO 8601 datetime
  • commit: current short git commit hash

Announce the saved paths:

"Project docs updated: - docs/TechStack.md - docs/ProjectStructure.md [per-service paths if monorepo] Commit: [hash]"

Common Rationalizations

RationalizationReality
"The README has all this info"READMEs describe intent and setup steps. TechStack and ProjectStructure describe current reality in a structured, machine-readable format.
"I can just read package.json"One config file gives you one piece. These docs synthesize all signals into two quick-read files.
"The project is small, I don't need docs"Small projects still have a stack, structure, and tooling. Two short files save every future session from re-discovering them.
"Docs will get outdated"The staleness gate and commit tracking exist specifically to prevent this. Run the skill again.

Red Flags

  • Skipping the staleness check and always rewriting (wastes time, loses manual edits)
  • Deep-scanning the filesystem instead of reading root
  • Not including YAML frontmatter in output files
  • Overwriting manually-authored files without asking
  • Missing the monorepo detection step on a multi-service project
  • Writing rationale or opinions instead of facts in TechStack.md
  • Not creating docs/ directory before writing

Verification

Before finishing, confirm:

  • Staleness check performed (or git unavailable noted)
  • Ownership check performed for existing files
  • Root directory listing read (not deep-scanned)
  • Relevant config files read
  • docs/TechStack.md written with frontmatter and concise stack listing
  • docs/ProjectStructure.md written with frontmatter and operational map
  • ProjectStructure.md ends with reference to DatabaseStructure.md
  • If monorepo: services detected and per-service docs written
  • All generated files have generated-by, date, and commit in frontmatter
  • Saved paths announced to user

平台分布

Codex

38.1%
按下载量换算39

Claude

27.44%
按下载量换算28

Cursor

18.47%
按下载量换算19

Gemini CLI

8.61%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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