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synthesis-and-analogy综合与类比

Agent Skill

synthesis-and-analogy 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。

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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

MIT

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-and-analogy(综合与类比)
来源仓库:https://github.com/lyndonkl/claude
仓库路径:skills/synthesis-and-analogy
安装命令:
npx skills add lyndonkl/claude --skill "synthesis-and-analogy"
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。

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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。

AgentSkills.tonpx skills
npx skills add lyndonkl/claude --skill "synthesis-and-analogy"

简介

synthesis-and-analogy 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。

  • 适用于知识综合与类比推理的场景支持,可辅助跨领域问题解决。
  • 通过 npx skills add 命令从 GitHub 安装,需确认宿主环境支持逻辑推理模块。
  • 安装前建议评估是否涉及复杂语义理解或外部知识库接入。
  • 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

name
synthesis-and-analogy
description
Use when synthesizing information from multiple sources (literature review, stakeholder feedback, research findings, data from different systems), creating or evaluating analogies for explanation or problem-solving (cross-domain transfer, "X is like Y", structural mapping), combining conflicting viewpoints into unified framework, identifying patterns across disparate sources, finding creative solutions by transferring principles from one domain to another, testing whether analogies hold (surface vs deep similarities), or when user mentions "synthesize", "combine sources", "analogy", "like", "similar to", "transfer from", "integrate findings", "what's it analogous to".

Synthesis & Analogy

Table of Contents

Purpose

Synthesize information from multiple sources into coherent insights and use analogical reasoning to transfer knowledge across domains, explain complex concepts, and find creative solutions.

When to Use

Information Synthesis:

  • Literature review (combine 10+ research papers into narrative)
  • Multi-source integration (customer feedback + analytics + competitive data)
  • Conflicting viewpoint reconciliation (synthesize disagreeing experts)
  • Pattern identification across sources (themes from interviews, support tickets, reviews)

Analogical Reasoning:

  • Explain complex concepts (use familiar domain to explain unfamiliar)
  • Cross-domain problem-solving (transfer solution from different field)
  • Creative ideation (find novel solutions through structural mapping)
  • Teaching/communication (make abstract concepts concrete)

Combined Synthesis + Analogy:

  • Synthesize multiple analogies to build richer understanding
  • Use analogies to reconcile conflicting sources ("both are right from different perspectives")
  • Transfer synthesized insights from one domain to another

What Is It

Synthesis: Combining information from multiple sources into unified, coherent whole that reveals patterns, resolves conflicts, and generates new insights beyond individual sources.

Analogy: Structural mapping between domains where relationships in source domain (familiar) illuminate relationships in target domain (unfamiliar). Good analogies preserve deep structure, not just surface features.

Example - Synthesis: Synthesizing 15 customer interviews + 5 surveys + support ticket analysis → "Customers struggle with onboarding (87% mention), specifically Step 3 configuration (65% abandon here), because terminology is domain-specific (42% request glossary). Three user types emerge: novices (need hand-holding), intermediates (need examples), experts (need speed)."

Example - Analogy: "Microservices architecture is like a city of specialized shops vs monolithic architecture like a department store. City: each shop (service) independent, can renovate without closing whole city, but must coordinate deliveries (APIs). Department store: everything under one roof (codebase), easier coordination, but renovating one section disrupts whole store. Trade-off: flexibility vs simplicity."

Workflow

Copy this checklist and track your progress:

Synthesis & Analogy Progress:
- [ ] Step 1: Clarify goal and gather sources/domains
- [ ] Step 2: Choose approach (synthesis, analogy, or both)
- [ ] Step 3: Apply synthesis or analogy techniques
- [ ] Step 4: Test quality and validity
- [ ] Step 5: Refine and deliver insights

Step 1: Clarify goal

For synthesis: What sources? What question are we answering? What conflicts need resolving? For analogy: What's source domain (familiar)? What's target domain (explaining)? What's goal (explain, solve, ideate)? See Common Patterns for typical goals.

Step 2: Choose approach

Synthesis only → Use Synthesis Techniques. Analogy only → Use Analogy Techniques. Both → Start with synthesis to find patterns, then use analogy to explain or transfer. For straightforward cases → Use resources/template.md. For complex multi-domain synthesis → Study resources/methodology.md.

Step 3: Apply techniques

For synthesis: Identify themes across sources, note agreements/disagreements, resolve conflicts via higher-level framework, extract patterns. For analogy: Map structure from source to target (what corresponds to what?), identify shared relationships (not surface features), test mapping validity. See Synthesis Techniques and Analogy Techniques.

Step 4: Test quality

Self-assess using resources/evaluators/rubric_synthesis_and_analogy.json. Synthesis checks: captures all sources? resolves conflicts? identifies patterns? adds insight? Analogy checks: structure preserved? deep not surface? limitations acknowledged? helps understanding? Minimum standard: Score ≥3.5 average.

Step 5: Refine and deliver

Create synthesis-and-analogy.md with: synthesis summary (themes, agreements, conflicts, patterns, new insights) OR analogy explanation (source domain, target domain, mapping table, what transfers, limitations), supporting evidence from sources, actionable implications.

Synthesis Techniques

Thematic Synthesis (identify recurring themes):

  1. Extract: Read each source, note key points and themes
  2. Code: Label similar ideas with same theme tag (e.g., "onboarding friction", "pricing confusion")
  3. Count: Track frequency (how many sources mention each theme?)
  4. Rank: Prioritize by frequency × importance
  5. Synthesize: Describe each major theme with supporting evidence from sources

Conflict Resolution Synthesis (reconcile disagreements):

  • Meta-level framework: Both right from different perspectives (e.g., "Source A prioritizes speed, Source B prioritizes quality - depends on context")
  • Scope distinction: Disagree on scope ("Source A: feature X broken for enterprise. Source B: works for SMB. Synthesis: works for SMB, broken for enterprise")
  • Temporal: Disagreement over time ("Source A: strategy X failed in 2010. Source B: works in 2024. Context changed: market maturity")
  • Null hypothesis: Genuinely conflicting evidence → state uncertainty, propose tests

Pattern Identification (find cross-cutting insights):

  • Look for repeated structures (same problem in different guises)
  • Find causal patterns (when X, then Y across multiple sources)
  • Identify outliers (sources that contradict pattern - why?)
  • Extract meta-insights (what does the pattern tell us?)

Example: Synthesizing 10 postmortems → Pattern: 80% of incidents involve config change + lack of rollback plan. Outliers: 2 incidents hardware failure. Meta-insight: Need config change review process + automatic rollback capability.

Analogy Techniques

Structural Mapping Theory:

  1. Identify source domain (familiar, well-understood)
  2. Identify target domain (unfamiliar, explaining)
  3. Map entities: What in source corresponds to what in target?
  4. Map relationships: Preserve relationships (if A→B in source, then A'→B' in target)
  5. Test mapping: Do relationships transfer? Are there unmapped elements?
  6. Acknowledge limits: Where does analogy break down?

Surface vs Deep Analogies:

  • Surface (weak): Share superficial features (both round, both red) - not illuminating
  • Deep (strong): Share structural relationships (both have hub-spoke topology, both use feedback loops) - insightful

Example - Surface: "Brain is like computer (both process information)" - too vague, doesn't help Example - Deep: "Brain neurons are like computer transistors: neurons fire/don't fire (binary), connect in networks, learning = strengthening connections (weights). BUT neurons are analog/probabilistic, computer precise/deterministic" - preserves structure, acknowledges limits

Analogy Quality Tests:

  • Systematicity: Do multiple relationships map (not just one)?
  • Structural preservation: Do causal relations transfer?
  • Productivity: Does analogy generate new predictions/insights?
  • Scope limits: Where does analogy break? (Always acknowledge)

Common Patterns

Pattern 1: Literature Review Synthesis

  • Goal: Combine research papers into narrative
  • Technique: Thematic synthesis (extract themes, note agreements/conflicts, identify gaps)
  • Output: "Research shows X (5 studies support), but Y remains controversial (3 for, 2 against due to methodology differences). Gap: no studies on Z population."

Pattern 2: Multi-Stakeholder Synthesis

  • Goal: Integrate feedback from design, engineering, product, customers
  • Technique: Conflict resolution synthesis (meta-level framework, scope distinctions)
  • Output: "Design wants A (aesthetics), Engineering wants B (performance), Product wants C (speed). All valid - prioritize C (speed) for v1, A (aesthetics) for v2, B (performance) as ongoing optimization."

Pattern 3: Explanatory Analogy

  • Goal: Explain technical concept to non-technical audience
  • Technique: Structural mapping from familiar domain
  • Output: "Git branches are like alternate timelines in sci-fi: main branch is prime timeline, feature branches are 'what if' explorations. Merge = timeline convergence. Conflicts = paradoxes to resolve."

Pattern 4: Cross-Domain Problem-Solving

  • Goal: Solve problem by transferring solution from different field
  • Technique: Identify structural similarity, map solution elements
  • Output: "Warehouse routing problem is structurally similar to ant colony optimization: ants find shortest paths via pheromone trails. Transfer: use reinforcement learning with 'digital pheromones' (successful route weights) to optimize warehouse paths."

Pattern 5: Creative Ideation via Analogy

  • Goal: Generate novel ideas by exploring analogies
  • Technique: Forced connections, random domain pairing, systematic variation
  • Output: "How is code review like restaurant food critique? Critic (reviewer) evaluates dish (code) on presentation (readability), taste (correctness), technique (architecture). Transfer: multi-criteria rubric for code review focusing on readability, correctness, architecture."

Guardrails

Synthesis Quality:

  • Covers all relevant sources (no cherry-picking)
  • Resolves conflicts explicitly (doesn't ignore disagreements)
  • Identifies patterns beyond what individual sources state (adds value)
  • Distinguishes facts from interpretations
  • Cites sources for claims
  • Acknowledges gaps and uncertainties

Analogy Quality:

  • Maps structure not surface features (deep analogy)
  • Explicitly states what corresponds to what (mapping table)
  • Tests validity (do relationships transfer?)
  • Acknowledges where analogy breaks down (limitations)
  • Doesn't overextend (knows when to stop pushing analogy)
  • Appropriate for audience (familiar source domain)

Avoid:

  • False synthesis: Forcing agreement where genuine conflict exists
  • Surface analogies: "Both are round" doesn't help understanding
  • Analogy as proof: Analogies illustrate, don't prove
  • Overgeneralization: One source ≠ pattern
  • Cherry-picking: Ignoring inconvenient sources
  • Mixing levels: Confusing data with interpretation

Quick Reference

Inputs Required:

For synthesis:

  • Multiple sources (papers, interviews, datasets, feedback, research)
  • Question to answer or goal to achieve
  • Conflicts or patterns to identify

For analogy:

  • Source domain (familiar, well-understood)
  • Target domain (unfamiliar, explaining or solving)
  • Goal (explain, solve problem, generate ideas)

Techniques to Use:

Synthesis:

  • Thematic synthesis → Identify recurring themes
  • Conflict resolution → Reconcile disagreements via meta-framework
  • Pattern identification → Find cross-cutting insights

Analogy:

  • Structural mapping → Map entities and relationships
  • Surface vs deep test → Ensure structural not superficial similarity
  • Validity test → Check if relationships transfer

Outputs Produced:

  • synthesis-and-analogy.md with:

- Synthesis: themes, agreements, conflicts resolved, patterns, new insights, supporting evidence - Analogy: source domain, target domain, mapping table (what↔what), transferred insights, limitations - Actionable implications

Resources:

Minimum Quality Standard:

  • Synthesis: covers all sources, resolves conflicts, identifies patterns, adds insight
  • Analogy: structural mapping clear, deep not surface, limitations acknowledged
  • Both: evidence-based, cited sources, actionable
  • Average rubric score ≥ 3.5/5 before delivering

适合场景

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用户想查找某类 Agent Skill 时

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需要参考平台分布和安装热度时

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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

Claude Code

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按下载量换算93

Gemini CLI

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Antigravity

17.93%
按下载量换算67

windsurf

13.4%
按下载量换算50

OpenCode

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按下载量换算30

Cursor

3.13%
按下载量换算12

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