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Daily Knowledge Synthesis And Documentation

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MichaelRochonnn
Daily Knowledge Synthesis and Documentation

Use at the end of each workday to synthesize key learnings from interviews, brainstorming, or fieldwork into visual charts or structured notes, preventing information loss and supporting solution development.

Overview

PublisherMichaelRochonnn
Repositorymckinsey-bcg-consulting
Skill nameDaily Knowledge Synthesis and Documentation
Stars
77
Forks
16
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MichaelRochonnn on GitHub. Read the source before you install it.

Installation

Install the Daily Knowledge Synthesis And Documentation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/daily-knowledge-synthesis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MichaelRochonnn/mckinsey-bcg-consulting.git /tmp/mckinsey-bcg-consulting
mkdir -p .claude/skills
cp -r /tmp/mckinsey-bcg-consulting/daily-knowledge-synthesis .claude/skills/michaelrochonnn-daily-knowledge-synthesis-and-documentation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Daily Knowledge Synthesis And Documentation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Daily Knowledge Synthesis And Documentation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Daily Knowledge Synthesis And Documentation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Daily Knowledge Synthesis and Documentation

When to Use

  • End of each workday following significant activities (interviews, brainstorming, field visits)
  • Risk of losing key insights among large volumes of information
  • Need to bridge the gap between raw data and final solutions
  • Working on complex problems requiring synthesis of multiple daily inputs

Core Workflow

1. Schedule Synthesis Time

  • Timing: Every evening, allocate exactly 30 minutes
  • Setting: Dedicated, uninterrupted space for reflection

2. Extract Key Learnings

Ask yourself: "What are the three most important things I learned today?"

  • Focus on insights, not just activities
  • Prioritize information that challenges or confirms hypotheses
  • Capture unexpected findings that may prove crucial later

3. Create Visual Artifacts

Transform learnings into tangible formats:

Chart Creation:

  • Produce 1-2 charts capturing the day's key insights
  • Charts need not be polished or perfectly formatted
  • Visual representation aids pattern recognition and memory

Alternative Documentation:

  • If concepts resist charting, record as structured bullet points
  • Ensure each point is specific and actionable

4. Secure Storage

  • Place charts and notes in designated, easily accessible locations
  • Do not mix with miscellaneous papers or discard into drawers
  • Maintain chronological or thematic organization for later retrieval

5. Apply to Analysis

  • Review accumulated charts when beginning formal analysis
  • Examine patterns across multiple days
  • Determine which insights support or refute current hypotheses
  • Integrate relevant findings into final solution development

Key Principles

  • Daily Discipline: Consistent 30-minute investment prevents information loss
  • Visualization: Graphic representations capture relationships that text misses
  • Retrievability: Organized storage ensures insights remain accessible when needed for solution synthesis

Output

Accumulated visual charts and structured notes documenting daily learnings, available for pattern analysis and solution development.

Frequently asked questions

What does the Daily Knowledge Synthesis And Documentation AI skill do?

Use at the end of each workday to synthesize key learnings from interviews, brainstorming, or fieldwork into visual charts or structured notes, preventing information loss and supporting solution development.

Why use Daily Knowledge Synthesis And Documentation on TypingMind?

Because you install it once and use it with any model. Daily Knowledge Synthesis And Documentation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Daily Knowledge Synthesis And Documentation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/daily-knowledge-synthesis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Daily Knowledge Synthesis And Documentation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Daily Knowledge Synthesis And Documentation?

As many as you like. As long as a model supports skills, you can use Daily Knowledge Synthesis And Documentation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Daily Knowledge Synthesis And Documentation AI skill free?

It is published on GitHub by MichaelRochonnn. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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