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spec%3aresearch规范%3a 研究

Agent Skill

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。

总安装

186

周安装

8

GitHub Stars

公开资料未说明

下载量

65
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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

external-service

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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