Analyze Research

by devcodex-labs

Analyze Research is an AI Engineering skill for Claude Code, published by devcodex-labs in devcodex.

202 stars26 forkson devcodex-labs/devcodexAdded 2026/09/05+16% in starsRepository updated 2026/08/31

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ai-codingclaude-codecodexcoding-agentcursordeveloper-toolsgemini-cligithub-copilotgroklocal-firstworkflow-runtime

Install in seconds

Install Analyze Research

Copy Analyze Research into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/devcodex-labs/devcodex/tree/main/content/skills/analyze-research ~/.claude/skills/analyze-research

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/devcodex-labs/devcodex.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: content/skills/analyze-research/SKILL.md in devcodex-labs/devcodex
Installs to: ~/.claude/skills/analyze-research
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3101 skills

What Analyze Research does

Analyze Research handles technical selection, feasibility checks, dependency comparisons, and root-cause investigation in a read-only workflow. Use it when you need evidence-based recommendations without changing source files.

Analyze Research is cataloged under AI Engineering on DirSkills. Analyze Research comes from a repository tagged ai-coding, claude-code, codex, coding-agent and cursor.

Documentation

README

Excerpt

Analyze Research Skill

子类型标识：analyze.research

触发条件

用户要求调研、评估或比较某技术方案，主要目标是获得信息和建议（而非直接实施）。

场景	示例
技术选型	"对比 Redis/Memcached，推荐缓存方案"
可行性评估	"评估引入 GraphQL 的成本和收益"
概念验证	"验证 WebSocket 在我们架构下是否可行"
依赖调研	"调研 `@org/lib` 是否满足需求"
根因调查	"找出导致内存持续增长的根因"
隐性推荐/取舍	用户问"是否应该""哪个更好""有没有更好建议"，且结论会影响技术路线、产品/项目选择、时间/金钱投入或长期维护成本

⛔ 只读原则

调研过程中禁止修改任何项目源码文件。若结论需要代码变更，在报告中说明并建议切换到 dev/fix 工作流。

执行流程

步骤	动作
1	明确调研问题（一句话核心问题）
2	确认调研范围（深度 + 技术栈约束）
3	收集信息（profile + 源码 + 同类产品 / 项目 / 模块对比 + 依赖文档）并建立关联文件集合
4	分析评估（按调研类型，至少 3 轮）
5	收敛前再跑一次 CRS，确认关联文件集合无遗漏
6	PCV（收敛后汇总验证，含合理性 + 可实施性 + 收益）
7	输出明确结论（禁止模糊结论）
8	输出调研报告

统一联查矩阵（research 最小动作）

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Analyze Research

What else does devcodex-labs publish alongside Analyze Research?
Analyze Research is one of 25 skills that DirSkills catalogs from devcodex-labs/devcodex, the repository it ships in. Its siblings there include AI Agent System Architecture, AI Evaluation Engineering and API Contract Architecture. Each one is a separate skill with its own page in this directory, installs the same way Analyze Research does, and is maintained by devcodex-labs in that same repository. The rest of the collection is listed on the devcodex-labs/devcodex page.
How does Analyze Research compare to other AI Engineering skills?
Analyze Research ranks #2827 by stars among the 3101 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Analyze Research against them. Open each page to compare what they document and how they install.