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synthesis-patterns合成模式

Agent Skill

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。

总安装

245

周安装

10

GitHub Stars

20

下载量

79
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: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

简介

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。

SKILL.md

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

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

能力 4

展示第三方安全扫描或审计结果

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

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 warning/failed 结果,不能写成本站确认安全。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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