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research-and-summarize

@developersglobal · 收录于 1 周前

Distill complex topics into layered, actionable summaries. Start with the key insight, layer in detail, end with recommended next action.

适合你,如果常需快速理解复杂内容并提取要点

/ 下载安装
research-and-summarize.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add developersglobal/ai-agent-skills/research-and-summarize
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- developersglobal/ai-agent-skills/research-and-summarize
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify developersglobal/ai-agent-skills/research-and-summarize
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

技能原文 SKILL.md作者撰写 · MIT · f47f948
Overview

Information overload is the default state. This skill transforms any research task into a structured summary: headline insight first, context second, detail third, action last. Designed for decision-makers who need clarity, not comprehensiveness.

When to Use
  • Summarizing technical documentation or papers
  • Researching a technology choice
  • Briefing a team on a topic
  • Distilling a long document for a specific decision
Process
Step 1: Define the Research Question
  1. State the specific question being answered: "Should we use Kafka or RabbitMQ for our event pipeline?"
  2. State who the answer is for and what decision it enables.
  3. This scopes the research — don't gather information beyond what the decision needs.

Verify: Research question is specific enough to have a clear answer.

Step 2: Gather and Evaluate Sources
  1. Identify 3–5 high-quality, authoritative sources.
  2. For each source, note: recency, authority, potential bias.
  3. Cross-reference key claims across sources.
  4. Flag conflicting information — don't silently pick one side.

Verify: Key claims are supported by at least 2 independent sources.

Step 3: Write the Layered Summary
  1. Headline (1 sentence): The single most important insight.
  2. Key findings (3–5 bullets): Supporting evidence for the headline.
  3. Context and nuance (1–2 paragraphs): Caveats, tradeoffs, conditions under which the headline doesn't hold.
  4. What we don't know: Gaps in the available information.
  5. Recommended action: Given the findings, what should the reader do next?

Deliver: A structured summary with all 5 sections.

Step 4: Cite Sources
  1. Every factual claim is linked to a source.
  2. Include the date of each source (recency matters in fast-moving fields).

Verify: Every claim has a citation.

Common Rationalizations (and Rebuttals)

| Excuse | Rebuttal | |--------|----------| | "The topic is too complex to summarize" | The goal is to enable a decision, not to be comprehensive. Scope to the decision. | | "I'll just share the links" | Links are not summaries. Distillation is the value. |

Verification
  • [ ] Research question defined before research begins
  • [ ] Key claims cross-referenced across 2+ sources
  • [ ] Summary has: headline, findings, context, unknowns, action
  • [ ] Every factual claim has a citation with date
References
  • [think-before-coding skill](../think-before-coding/SKILL.md)
  • [idea-to-spec skill](../idea-to-spec/SKILL.md)
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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