Skills Plugins MCP Prompt Model 博客 我的中心
開発 #data #database

notion-knowledge-capture

Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.

DeepseekModel キュレーション済みスキル 品質 優秀 · 78 v1.0.0

取得

https://deepseekmodel.com/api/download.php?id=makenotion-notion-cookbook-skills-claude-knowledge-capture-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name notion-knowledge-capture description Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery. Knowledge Capture Transforms conversations, discussions, and insights into structured documentation in your Notion workspace. Captures knowledge from chat context, formats it appropriately, and saves it to the right location with proper organization and linking. Quick Start When asked to save information to Notion: Extract content : Identify key information from conversation context Structure information : Organize into appropriate documentation format Determine location : Use Notion:notion-search to find appropriate wiki page/database Create page : Use Notion:notion-create-pages to save content Make discoverable : Link from relevant hub pages, add to databases, or update wiki navigation so others can find it Knowledge Capture Workflow Step 1: Identify content to capture From conversation context, extract: - Key concepts and definitions - Decisions made and rationale - How-to information and procedures - Important insights or learnings - Q&A pairs - Examples and use cases Step 2: Determine content type Classify the knowledge: - Concept/Definition - How-to Guide - Decision Record - FAQ Entry - Meeting Summary - Learning/Post-mortem - Reference Documentation Step 3: Structure the content Format appropriately based on content type: - Use templates for consistency - Add clear headings and sections - Include examples where helpful - Add relevant metadata - Link to related pages Step 4: Determine destination Where to save: - Wiki page (general knowledge base) - Specific project page (project-specific knowledge) - Documentation database (structured docs) - FAQ database (questions and answers) - Decision log (architecture/product decisions) - Team wiki (team-specific knowledge) Step 5: Create the page Use Notion:notion-create-pages: - Set appropriate title - Use structured content from template - Set properties if in database - Add tags/categories - Link to related pages Step 6: Make content discoverable Link the new page so others can find it: 1. Update hub/index pages: - Add link to wiki table of contents page - Add link from relevant project page - Add link from category/topic page (e.g., "Engineering Docs") 2. If page is in a database: - Set appropriate tags/categories - Set status (e.g., "Published") - Add to relevant views 3. Optionally update parent page: - If saved under a project, add to project's "Documentation" section - If in team wiki, ensure it's linked from team homepage Example: Notion:notion-update-page page_id: "team-wiki-homepage-id" command: "insert_content_after" selection_with_ellipsis: "## How-To Guides..." new_str: "- <mention-page url='...'>How to Deploy to Production</mention-page>" This step ensures the knowledge doesn't become "orphaned" - it's properly connected to your workspace's navigation structure. Content Types Choose appropriate structure based on content: Concept : Overview → Definition → Characteristics → Examples → Use Cases → Related How-To : Overview → Prerequisites → Steps (numbered) → Verification → Troubleshooting → Related Decision : Context → Decision → Rationale → Options Considered → Consequences → Implementation FAQ : Short Answer → Detailed Explanation → Examples → When to Use → Related Questions Learning : What Happened → What Went Well → What Didn't → Root Causes → Learnings → Actions Destination Patterns General Wiki : Standalone page → add to index → tag → link from related pages Project Wiki : Child of project page → link from project overview → tag with project name Documentation Database : Use properties (Title, Type, Category, Tags, Last Updated, Owner) Decision Log Database : Use properties (Decision, Date, Status, Domain, Deciders, Impact) FAQ Database : Use properties (Question, Category, Tags, Last Reviewed, Useful Count) See reference/database-best-practices.md for database selection guide and individual schema files. Content Extraction from Conversations Chat Discussion : Key points, conclusions, resources, action items, Q&A Problem-Solving : Problem statement, approaches tried, solution, why it worked, future considerations Knowledge Sharing : Concept explained, examples, best practices, common pitfalls, resources Decision Discussion : Question, options, trade-offs, decision, rationale, next steps Formatting Best Practices Structure : Use # (title), ## (sections), ### (subsections) consistently Writing : Start with overview, use bullets, keep paragraphs short, add examples Linking : Link related pages, mention people, reference resources, create bidirectional links Metadata : Include date, author, tags, status Searchability : Clear titles, natural keywords, common search tags, image alt-text Indexing and Organization Wiki Index : Organize by sections (Getting Started, How-To Guides, Reference, FAQs, Decisions) with page links Category Pages : Create landing pages with overview, doc links, and recent updates Tagging Strategy : Use consistent tags for technology/tools, topics, audience, and status Update Management Create New : Content is substantive (>2 paragraphs), will be referenced multiple times, part of knowledge base, needs independent discovery Update Existing : Adding to existing topic, correcting info, expanding concept, updating for changes Versioning : Add update history section for significant changes (date, author, what changed, why) Best Practices Capture promptly : Document while context is fresh Structure consistently : Use templates for similar content Link extensively : Connect related knowledge Write for discovery : Use searchable titles and tags Include context : Why this matters, when to use Add examples : Concrete examples aid understanding Maintain : Review and update periodically Get feedback : Ask if documentation is helpful Advanced Features Documentation databases : See reference/database-best-practices.md for database schema patterns. Common Issues "Not sure where to save" : Default to general wiki, can move later "Content is fragmentary" : Group related fragments into cohesive doc "Already exists" : Search first, update existing if appropriate "Too informal" : Clean up language while preserving insights Examples See examples/ for complete workflows: examples/conversation-to-faq.md - FAQ from Q&A examples/decision-capture.md - Decision record examples/how-to-guide.md - How-to from discussion
このスキルを起動するキーワード。クリックでコピーできます。

このスキルにはトリガーワードがありません。

ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。