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Agent Skill · 研究检索

synthesis-patterns(合成模式)

synthesis-patterns 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。

synthesis-patterns 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,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 67,439。

总安装 245周安装 10GitHub Stars 20下载 79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:synthesis-patterns(合成模式)
来源仓库:https://github.com/gleanwork/claude-plugins
仓库路径:skills/synthesis-patterns
安装命令:
npx skills add https://github.com/gleanwork/claude-plugins --skill synthesis-patterns
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/gleanwork/claude-plugins --skill synthesis-patterns

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。

synthesis-patterns 用于查找、检索和筛选相关信息,适合在关键词或任务场景下快速定位候选结果。适用于 Codex、Claude、Cursor、Gemini CLI 等宿主环境中的研究检索任务。通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。

安装前需确认权限范围、维护状态及是否涉及联网或文件操作。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/synthesis-patterns

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/gleanwork/claude-plugins --skill synthesis-pat…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

synthesis-patterns 怎么安装?

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

synthesis-patterns 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。

synthesis-patterns 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

synthesis-patterns 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。

synthesis-patterns 用的人多吗?

公开数据是累计安装 245 次,近一周安装 10 次,下载 79 次,GitHub 20 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。

synthesis-patterns 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
synthesis-patterns

合成模式 · 本页

24520只读未明确有提醒

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

Multi-Source Synthesis Patterns

When answering questions that require information from multiple Glean sources, use these patterns to combine and synthesize effectively.

When This Applies

Use this approach when:

  • A question spans documents, meetings, people, and code
  • You need to cross-reference information from different sources
  • Results from one source need context from another
  • Building a comprehensive answer from partial information
  • Sources seem to conflict or overlap

BE SKEPTICAL

When synthesizing across multiple sources, aggressive vetting is essential:

Source Quality Test

  • Is each source authoritative?
  • ✅ INCLUDE: Official docs, code, recent meetings
  • ⚠️ CONTEXT: Secondary sources, somewhat dated
  • ❌ EXCLUDE: Hearsay, speculation, very old information

Recency vs Authority

  • When sources disagree on recency, choose wisely:
  • ✅ TRUST: Recent information from official source
  • ⚠️ CAUTION: Very recent but unofficial vs stale but official
  • ❌ AVOID: Treating old info as current just because it's "official"

Completeness Check

  • Do you have the full picture?
  • ✅ INCLUDE: 3+ sources align, comprehensive coverage
  • ⚠️ CONTEXT: Limited sources, note gaps explicitly
  • ❌ EXCLUDE: Single source for multi-faceted questions

Conflict Resolution

  • When sources conflict, don't hide it:
  • ✅ INCLUDE: Conflict + explanation of which is likely correct
  • ❌ EXCLUDE: Picking one source without acknowledging disagreement

Filter Out:

  • Unattributed claims
  • Information older than 3 months (unless structure/architecture)
  • Synthesis that glosses over fundamental disagreements
  • "I synthesized this" without showing your work

Say "I don't know" when:

  • Sources are missing or conflicting
  • Information is too stale to be reliable
  • You lack sufficient data to synthesize confidently

The Synthesis Framework

1. Identify Information Types Needed

Before querying, determine what types of information are needed:

Information TypeGlean ToolUse When
Official documentationsearchNeed authoritative specs, policies
Real-time contextmeeting_lookupNeed recent discussions, decisions
People/org structureemployee_searchNeed ownership, expertise
Code evidencecode_searchNeed implementation truth
User's own contextmemory, user_activityNeed personalization
AI synthesischatNeed reasoning across sources

2. Query in Optimal Order

Recommended order for comprehensive synthesis:

  1. Start broad with chat - Get AI-synthesized overview
  2. Verify with search - Find authoritative documents
  3. Add recency with meeting_lookup - Get latest discussions
  4. Clarify ownership with employee_search - Identify who to ask
  5. Ground in reality with code_search - What's actually implemented

3. Cross-Reference Pattern

When you have results from multiple sources, cross-reference:

## Finding: [Topic]

### From Documentation
- [What docs say] - Source: [doc title] ([link])

### From Recent Meetings
- [What was discussed] - Source: [meeting date]

### From Code
- [What's implemented] - Source: [file/repo]

### Synthesis
Based on these sources: [Your synthesized answer]

### Confidence
- Documentation: [Current/Stale/Missing]
- Meeting Context: [Recent/Old/None]
- Code Evidence: [Present/Partial/None]

4. Handle Conflicts

When sources disagree:

## Conflicting Information Detected

| Topic | Source A Says | Source B Says |
|-------|---------------|---------------|
| [Topic] | [Claim from doc] | [Claim from meeting] |

**Most Likely Truth**: [Your assessment based on recency, authority]

**Recommendation**: Verify with [person/source]

Synthesis Patterns by Use Case

Pattern: "What is X?"

  1. chat - Get overview
  2. search - Find official definition
  3. employee_search - Find owner to verify
  4. Synthesize: Combine AI overview + official doc + owner context

Pattern: "Who should I talk to about X?"

  1. employee_search - Find by role
  2. code_search - Find by code activity
  3. search - Find by doc authorship
  4. Synthesize: Rank by multiple signal strength

Pattern: "What's the status of X?"

  1. chat - Get current status summary
  2. meeting_lookup - Find recent discussions
  3. search - Find tracking docs (Jira, etc.)
  4. Synthesize: Combine with recency weighting

Pattern: "How do we do X?"

  1. search - Find process docs
  2. code_search - Find implementation
  3. meeting_lookup - Find recent changes
  4. Synthesize: Doc process + code reality + recent updates

Output Best Practices

  1. Cite every source - Include links for all claims
  2. Note recency - When was this information last updated?
  3. Flag uncertainty - Be clear about gaps
  4. Suggest verification - Point to people who can confirm
  5. Acknowledge conflicts - Don't hide disagreements

Example Synthesis Output

## [Question/Topic]

### Answer
[Direct answer to the question]

### Supporting Evidence

| Source | What It Says | Last Updated |
|--------|--------------|--------------|
| [Doc Title] | [Key info] | [Date] |
| [Meeting] | [Key info] | [Date] |
| [Code/Repo] | [Key info] | [Date] |

### Confidence Assessment
- **Overall Confidence**: [High/Medium/Low]
- **Data Freshness**: [Current/Mostly current/Some stale]
- **Source Agreement**: [Strong/Partial/Conflicting]

### Gaps & Recommendations
- [What's missing or uncertain]
- [Who to verify with if critical]

Relationship to Other Skills

This skill works with:

  • glean-tools-guide - For tool selection
  • confidence-signals - For noting data quality
  • enterprise-search - For document searches
  • meeting-context - For meeting queries
  • people-lookup - For people queries

平台分布

Codex

37.79%
按下载量换算30

Claude

28.3%
按下载量换算22

Cursor

18.66%
按下载量换算15

Gemini CLI

8.98%
按下载量换算7

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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