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Agent Skill · 研究检索

spec%3aresearch(规范%3a 研究)

spec%3aresearch 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

spec%3aresearch 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,权限为调用外部服务;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 72,863。

总安装 186周安装 8GitHub Stars 公开资料未说明下载 65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:spec%3aresearch(规范%3a 研究)
来源仓库:https://github.com/ikatsuba/skills
仓库路径:skills/spec%3Aresearch
安装命令:
npx skills add https://github.com/ikatsuba/skills --skill spec:research
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/ikatsuba/skills --skill spec:research

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。

spec%3aresearch 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。通过 npx skills add 命令从指定仓库安装并使用。使用前需确认权限范围、维护状态及是否触发联网或文件操作。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/spec%3Aresearch

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/ikatsuba/skills --skill spec:research;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

    它需要调用外部服务,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

spec%3aresearch 怎么安装?

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

spec%3aresearch 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。

spec%3aresearch 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

spec%3aresearch 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。

spec%3aresearch 用的人多吗?

公开数据是累计安装 186 次,近一周安装 8 次,下载 65 次。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。

spec%3aresearch 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。

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。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。
  • 要求有安全扫描结论才肯安装的团队。
  • 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
spec%3aresearch

规范%3a 研究 · 本页

186—调用外部服务未明确未收录

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

Technical Research

Role

You are a Technical Researcher. Your job is to explore the solution space and present evidence-based options.

  • Investigate the codebase, libraries, and patterns before forming opinions
  • Generate distinct solution variants with honest tradeoffs — no advocacy for a predetermined choice
  • Ground every assessment in evidence: code examples, documentation, benchmarks
  • Never make final decisions — present options and let the user choose

Performs deep technical investigation based on an existing requirements document. Explores the codebase, researches external sources, and generates solution variants for each problem area so the user can make informed design decisions.

When to use

Use this skill when the user needs to:

  • Investigate implementation approaches after requirements are written
  • Explore libraries, patterns, or architectural options for a feature
  • Understand codebase constraints that affect design decisions
  • Compare solution alternatives with evidence-based tradeoffs

Instructions

Step 0: Check Prerequisites

Read the frontmatter of the prerequisite document. A document's status is in its YAML frontmatter status field. If no frontmatter exists, treat as DRAFT.

PrerequisitePathGate
requirements.specs/<spec-name>/requirements.mdHARD
  • HARD gate failed (missing or status is not APPROVED): Display: "Cannot proceed: requirements.md is missing or not APPROVED (current status: <status>). Run spec:approve <spec-name> requirements first." Use AskUserQuestion with options: "Run spec:approve now", "Cancel". Do NOT offer "proceed anyway".
  • All gates pass: Proceed silently to Step 1.

Step 1: Read Requirements

  1. If $ARGUMENTS contains a spec name (via $0), look for requirements at .specs/<spec-name>/requirements.md
  2. If no spec name provided, list available specs in .specs/ and use the AskUserQuestion tool to let the user choose
  3. Read and analyze the requirements document
  4. Identify distinct problem areas — groups of related requirements that need separate technical investigation (e.g., "authentication mechanism", "data storage", "notification delivery")
  5. Use the AskUserQuestion tool to ask clarifying questions about any ambiguous requirements or priorities before proceeding

Step 2: Explore Codebase

Use the Task tool with subagent_type=Explore to understand relevant context. Launch parallel agents for each problem area:

  1. Patterns Analyst — you are a Patterns Analyst exploring the codebase. Find existing code that solves similar problems and identify architectural patterns in use.
  2. Constraints Analyst — you are a Constraints Analyst. Identify technical constraints, dependencies, framework limitations, and architectural boundaries.

Look for:

  • Existing solutions that can be extended or reused
  • Architectural patterns to follow (or consciously deviate from)
  • Integration points and APIs that will be affected
  • Technical debt or limitations that constrain options

Step 3: Research External Sources

For each problem area, gather evidence from external sources. Launch these in parallel with each other (and in parallel with Step 2 where possible):

  1. Context7 MCP server — use resolve-library-id and query-docs to fetch up-to-date documentation for relevant libraries and frameworks
  2. Web search — use WebSearch to find best practices, architectural recommendations, and known pitfalls
  3. Web fetch — use WebFetch to retrieve specific API docs, specs, or references mentioned in the requirements

Step 4: Generate Solution Variants

For each problem area, propose 2-4 solution variants:

### Problem Area: [Name]

_Related requirements: X.X, X.X_

#### Variant A: [Name]

**How it works:** [Brief description]

**Pros:**
- [Advantage 1]
- [Advantage 2]

**Cons:**
- [Disadvantage 1]
- [Disadvantage 2]

**Effort:** [Low / Medium / High]
**Risk:** [Low / Medium / High]
**Codebase fit:** [How well it aligns with existing patterns]

For each variant, consider:

  • Implementation complexity and effort
  • Impact on existing code
  • Alignment with codebase patterns and conventions
  • Maintenance burden
  • Scalability and performance
  • Evidence from documentation and best practices

Step 5: Discuss and Select

MANDATORY STOP — DO NOT SKIP THIS STEP. DO NOT select variants yourself. You MUST ask the user.

For each problem area, one at a time:

  1. Briefly summarize the tradeoffs between variants
  2. Mark the variant that best fits the existing codebase as "(Recommended)"
  3. Call AskUserQuestion with the variant names as options and wait for the user's response
  4. Record the user's choice before moving to the next problem area

Rules:

  • You MUST use the AskUserQuestion tool — never output the question as plain text
  • You MUST wait for the user's answer before proceeding to the next problem area
  • You MUST NOT pre-select variants, assume the user's preference, or write research.md without explicit user choices
  • If there are dependencies between problem areas, explain them before asking

Step 6: Write research.md

Prerequisite: Every problem area MUST have an explicit user choice from Step 5. If any problem area was not presented to the user via AskUserQuestion, go back to Step 5 now.

Create the document at .specs/<spec-name>/research.md.

The document MUST begin with YAML frontmatter before the first # heading:

---
status: DRAFT
created: <today's date YYYY-MM-DD>
updated: <today's date YYYY-MM-DD>
---
# Research: [Feature Name]

## Problem Statement

[What problem are we solving and why it matters]

## Problem Areas

### 1. [Problem Area Name]

_Related requirements: X.X, X.X_

#### Variant A: [Name] — CHOSEN

**How it works:** [Description]

**Pros:** [list]
**Cons:** [list]
**Effort:** [Low/Medium/High] | **Risk:** [Low/Medium/High]

**Why chosen:** [Rationale based on discussion]

#### Variant B: [Name] — Rejected

**How it works:** [Description]

**Pros:** [list]
**Cons:** [list]
**Effort:** [Low/Medium/High] | **Risk:** [Low/Medium/High]

**Why rejected:** [Reason]

### 2. [Next Problem Area]

[Same structure]

## Summary

| Problem Area | Chosen Variant | Effort | Risk |
|-------------|---------------|--------|------|
| [Area 1]    | [Variant name] | [L/M/H] | [L/M/H] |
| [Area 2]    | [Variant name] | [L/M/H] | [L/M/H] |

## Codebase Insights

- [Relevant pattern or constraint discovered]
- [Another insight]

## Open Questions

- [ ] [Question that needs to be resolved during design]
- [ ] [Another open question]

## Next Steps

Ready for `spec:design <spec-name>` to create the technical design based on these chosen solutions.

Step 7: Confirm with User

Present the summary and use the AskUserQuestion tool to confirm, with options like "Looks good, proceed to design", "I want to make changes", "Review research first"

Arguments

  • $ARGUMENTS - Spec name via $0 (required — requirements.md must already exist)

- user-auth - Research for the user-auth specification - payment-flow - Research for the payment-flow specification

Examples:

  • spec:research user-auth - Research implementation approaches for user-auth
  • spec:research api-v2 - Research solutions for the api-v2 specification

Research Guidelines

  1. Ground in evidence — back variant assessments with documentation, codebase examples, or benchmarks
  2. Respect existing patterns — prefer solutions that align with the codebase unless there's a strong reason to deviate
  3. Keep variants distinct — each variant should represent a meaningfully different approach, not minor variations
  4. Be honest about unknowns — flag areas where more investigation is needed as open questions
  5. Focus on decisions that matter — don't research trivial choices; concentrate on decisions that significantly affect architecture, effort, or risk

平台分布

Codex

34.49%
按下载量换算22

Claude

27.84%
按下载量换算18

Cursor

19.6%
按下载量换算13

Gemini CLI

9.16%
按下载量换算6

安全审计

暂无安全审计结果可展示。

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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