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Document Orchestrator

AI agent that automatically updates Confluence documents based on meeting notes. Built as a Claude Code skill — run it with /doc-orchestrator inside Claude Code.

What It Does

  1. Takes meeting notes (audio file or text)
  2. Searches Confluence for related documents
  3. Analyzes what needs to change based on meeting decisions
  4. Proposes changes with classification (Required / Recommended)
  5. Applies approved changes to Confluence with change log comments

Prerequisites

  • Claude Code installed
  • uv installed (curl -LsSf https://astral.sh/uv/install.sh | sh)
  • Atlassian account with API token
  • OpenAI API key (for audio transcription)

Setup

1. Clone the repo

git clone <repo-url>cd doc-orchestrator

2. Create .env file

Copy the template below and fill in your credentials:

# .env
CONFLUENCE_URL=https://your-domain.atlassian.net
CONFLUENCE_EMAIL=your-email@company.com
CONFLUENCE_TOKEN=your-atlassian-api-token
OPENAI_API_KEY=your-openai-api-key

To get an Atlassian API token:

3. Open Claude Code

cd doc-orchestrator
claude

The MCP server (Confluence connection) will be configured automatically via .mcp.json.

4. Run the skill

/doc-orchestrator

Usage Flow

Input Options

Input TypeHow
Audio fileProvide path to .mp3, .m4a, .wav, etc. — transcribed via OpenAI GPT-4o Transcribe
Text fileProvide path to .md or .txt meeting notes
Paste textPaste meeting notes directly into the chat

Step-by-Step

  1. (Optional) Provide Confluence page URLs you know are related
  2. Provide meeting notes (audio / text file / paste)
  3. Review the list of related Confluence documents found
  4. Select which documents to analyze
  5. Review proposed changes (Required / Recommended)
  6. Select which changes to apply
  7. Confirm target pages before update
  8. Changes are applied to Confluence with comments

Confluence URL Formats

Both formats are supported:

  • Full URL: https://your-domain.atlassian.net/wiki/spaces/SPACE/pages/123456/Title
  • Short URL: https://your-domain.atlassian.net/wiki/x/AbCdEf

Project Structure

doc-orchestrator/
├── .mcp.json # Confluence MCP server config
├── .env # Your credentials (not in git)
├── .gitignore
├── requirements.txt # Python dependencies (openai)
├── README.md
├── DESIGN.md # Agent & Classifier architecture
├── scripts/
│ ├── transcribe.py # Audio → text transcription
│ └── helper_mcp.py # Confluence helper MCP server
├── logs/ # Auto-generated logs (not in git)
│ ├── YYYY-MM-DD_HH-MM_transcript.json
│ ├── YYYY-MM-DD_HH-MM_meeting_analysis.json
│ └── YYYY-MM-DD_HH-MM_update.json
└── .claude/
└── skills/
└── doc-orchestrator/
├── SKILL.md # Main skill prompt
└── domains/
├── classifiers/
│ ├── topic.md # Topic classifier (5 meeting types)
│ └── part.md # Part classifier (5 domains)
├── agents/
│ ├── q.md # Quantization agent
│ ├── go.md # Graph Optimization agent
│ ├── mr.md # Model Representation agent
│ ├── me.md # Model Engineering agent
│ └── swe.md # Software Engineering agent
└── cross-cut/
└── scenarios.md # Shared S0-S3 context

Logs

Every run generates log files in logs/:

  • *_transcript.json — Raw transcription from audio input
  • *_update.json — Full record of what was analyzed, proposed, applied, and skipped

Troubleshooting

IssueSolution
/mcp shows no serversMake sure uv is installed and restart Claude Code
OPENAI_API_KEY not setCheck that .env file exists and contains the key
Confluence auth failsVerify your email and API token in .env

About

No description, website, or topics provided.

Resources

Readme
Activity
Custom properties

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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GitHub - nota-github/DOC-ORCHESTRATOR · GitHub
Skip to content
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Document Orchestrator
AI agent that automatically updates Confluence documents based on meeting notes.
Built as a Claude Code skill — run it with /doc-orchestrator inside Claude Code.
What It Does
  1. Takes meeting notes (audio file or text)
  2. Searches Confluence for related documents
  3. Analyzes what needs to change based on meeting decisions
  4. Proposes changes with classification (Required / Recommended)
  5. Applies approved changes to Confluence with change log comments
Prerequisites
  • Claude Code installed
  • uv installed (curl -LsSf https://astral.sh/uv/install.sh | sh)
  • Atlassian account with API token
  • OpenAI API key (for audio transcription)
Setup
1. Clone the repo
git clone <repo-url>cd doc-orchestrator
2. Create .env file
Copy the template below and fill in your credentials:
# .env
CONFLUENCE_URL=https://your-domain.atlassian.net
CONFLUENCE_EMAIL=your-email@company.com
CONFLUENCE_TOKEN=your-atlassian-api-token
OPENAI_API_KEY=your-openai-api-key
To get an Atlassian API token:
3. Open Claude Code
cd doc-orchestrator
claude
The MCP server (Confluence connection) will be configured automatically via .mcp.json.
4. Run the skill
/doc-orchestrator

Usage Flow
Input Options
Input TypeHow
Audio fileProvide path to .mp3, .m4a, .wav, etc. — transcribed via OpenAI GPT-4o Transcribe
Text fileProvide path to .md or .txt meeting notes
Paste textPaste meeting notes directly into the chat
Step-by-Step
  1. (Optional) Provide Confluence page URLs you know are related
  2. Provide meeting notes (audio / text file / paste)
  3. Review the list of related Confluence documents found
  4. Select which documents to analyze
  5. Review proposed changes (Required / Recommended)
  6. Select which changes to apply
  7. Confirm target pages before update
  8. Changes are applied to Confluence with comments
Confluence URL Formats
Both formats are supported:
  • Full URL: https://your-domain.atlassian.net/wiki/spaces/SPACE/pages/123456/Title
  • Short URL: https://your-domain.atlassian.net/wiki/x/AbCdEf
Project Structure
doc-orchestrator/
├── .mcp.json # Confluence MCP server config
├── .env # Your credentials (not in git)
├── .gitignore
├── requirements.txt # Python dependencies (openai)
├── README.md
├── DESIGN.md # Agent & Classifier architecture
├── scripts/
│ ├── transcribe.py # Audio → text transcription
│ └── helper_mcp.py # Confluence helper MCP server
├── logs/ # Auto-generated logs (not in git)
│ ├── YYYY-MM-DD_HH-MM_transcript.json
│ ├── YYYY-MM-DD_HH-MM_meeting_analysis.json
│ └── YYYY-MM-DD_HH-MM_update.json
└── .claude/
└── skills/
└── doc-orchestrator/
├── SKILL.md # Main skill prompt
└── domains/
├── classifiers/
│ ├── topic.md # Topic classifier (5 meeting types)
│ └── part.md # Part classifier (5 domains)
├── agents/
│ ├── q.md # Quantization agent
│ ├── go.md # Graph Optimization agent
│ ├── mr.md # Model Representation agent
│ ├── me.md # Model Engineering agent
│ └── swe.md # Software Engineering agent
└── cross-cut/
└── scenarios.md # Shared S0-S3 context

Logs
Every run generates log files in logs/:
  • *_transcript.json — Raw transcription from audio input
  • *_update.json — Full record of what was analyzed, proposed, applied, and skipped
Troubleshooting
IssueSolution
/mcp shows no serversMake sure uv is installed and restart Claude Code
OPENAI_API_KEY not setCheck that .env file exists and contains the key
Confluence auth failsVerify your email and API token in .env
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - nota-github/DOC-ORCHESTRATOR · GitHub
Skip to content
BranchesTags
Repository files navigation
Document Orchestrator
AI agent that automatically updates Confluence documents based on meeting notes.
Built as a Claude Code skill — run it with /doc-orchestrator inside Claude Code.
What It Does
  1. Takes meeting notes (audio file or text)
  2. Searches Confluence for related documents
  3. Analyzes what needs to change based on meeting decisions
  4. Proposes changes with classification (Required / Recommended)
  5. Applies approved changes to Confluence with change log comments
Prerequisites
  • Claude Code installed
  • uv installed (curl -LsSf https://astral.sh/uv/install.sh | sh)
  • Atlassian account with API token
  • OpenAI API key (for audio transcription)
Setup
1. Clone the repo
git clone <repo-url>cd doc-orchestrator
2. Create .env file
Copy the template below and fill in your credentials:
# .env
CONFLUENCE_URL=https://your-domain.atlassian.net
CONFLUENCE_EMAIL=your-email@company.com
CONFLUENCE_TOKEN=your-atlassian-api-token
OPENAI_API_KEY=your-openai-api-key
To get an Atlassian API token:
3. Open Claude Code
cd doc-orchestrator
claude
The MCP server (Confluence connection) will be configured automatically via .mcp.json.
4. Run the skill
/doc-orchestrator

Usage Flow
Input Options
Input TypeHow
Audio fileProvide path to .mp3, .m4a, .wav, etc. — transcribed via OpenAI GPT-4o Transcribe
Text fileProvide path to .md or .txt meeting notes
Paste textPaste meeting notes directly into the chat
Step-by-Step
  1. (Optional) Provide Confluence page URLs you know are related
  2. Provide meeting notes (audio / text file / paste)
  3. Review the list of related Confluence documents found
  4. Select which documents to analyze
  5. Review proposed changes (Required / Recommended)
  6. Select which changes to apply
  7. Confirm target pages before update
  8. Changes are applied to Confluence with comments
Confluence URL Formats
Both formats are supported:
  • Full URL: https://your-domain.atlassian.net/wiki/spaces/SPACE/pages/123456/Title
  • Short URL: https://your-domain.atlassian.net/wiki/x/AbCdEf
Project Structure
doc-orchestrator/
├── .mcp.json # Confluence MCP server config
├── .env # Your credentials (not in git)
├── .gitignore
├── requirements.txt # Python dependencies (openai)
├── README.md
├── DESIGN.md # Agent & Classifier architecture
├── scripts/
│ ├── transcribe.py # Audio → text transcription
│ └── helper_mcp.py # Confluence helper MCP server
├── logs/ # Auto-generated logs (not in git)
│ ├── YYYY-MM-DD_HH-MM_transcript.json
│ ├── YYYY-MM-DD_HH-MM_meeting_analysis.json
│ └── YYYY-MM-DD_HH-MM_update.json
└── .claude/
└── skills/
└── doc-orchestrator/
├── SKILL.md # Main skill prompt
└── domains/
├── classifiers/
│ ├── topic.md # Topic classifier (5 meeting types)
│ └── part.md # Part classifier (5 domains)
├── agents/
│ ├── q.md # Quantization agent
│ ├── go.md # Graph Optimization agent
│ ├── mr.md # Model Representation agent
│ ├── me.md # Model Engineering agent
│ └── swe.md # Software Engineering agent
└── cross-cut/
└── scenarios.md # Shared S0-S3 context

Logs
Every run generates log files in logs/:
  • *_transcript.json — Raw transcription from audio input
  • *_update.json — Full record of what was analyzed, proposed, applied, and skipped
Troubleshooting
IssueSolution
/mcp shows no serversMake sure uv is installed and restart Claude Code
OPENAI_API_KEY not setCheck that .env file exists and contains the key
Confluence auth failsVerify your email and API token in .env
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - nota-github/DOC-ORCHESTRATOR · GitHub
Skip to content
BranchesTags
Repository files navigation
Document Orchestrator
AI agent that automatically updates Confluence documents based on meeting notes.
Built as a Claude Code skill — run it with /doc-orchestrator inside Claude Code.
What It Does
  1. Takes meeting notes (audio file or text)
  2. Searches Confluence for related documents
  3. Analyzes what needs to change based on meeting decisions
  4. Proposes changes with classification (Required / Recommended)
  5. Applies approved changes to Confluence with change log comments
Prerequisites
  • Claude Code installed
  • uv installed (curl -LsSf https://astral.sh/uv/install.sh | sh)
  • Atlassian account with API token
  • OpenAI API key (for audio transcription)
Setup
1. Clone the repo
git clone <repo-url>cd doc-orchestrator
2. Create .env file
Copy the template below and fill in your credentials:
# .env
CONFLUENCE_URL=https://your-domain.atlassian.net
CONFLUENCE_EMAIL=your-email@company.com
CONFLUENCE_TOKEN=your-atlassian-api-token
OPENAI_API_KEY=your-openai-api-key
To get an Atlassian API token:
3. Open Claude Code
cd doc-orchestrator
claude
The MCP server (Confluence connection) will be configured automatically via .mcp.json.
4. Run the skill
/doc-orchestrator

Usage Flow
Input Options
Input TypeHow
Audio fileProvide path to .mp3, .m4a, .wav, etc. — transcribed via OpenAI GPT-4o Transcribe
Text fileProvide path to .md or .txt meeting notes
Paste textPaste meeting notes directly into the chat
Step-by-Step
  1. (Optional) Provide Confluence page URLs you know are related
  2. Provide meeting notes (audio / text file / paste)
  3. Review the list of related Confluence documents found
  4. Select which documents to analyze
  5. Review proposed changes (Required / Recommended)
  6. Select which changes to apply
  7. Confirm target pages before update
  8. Changes are applied to Confluence with comments
Confluence URL Formats
Both formats are supported:
  • Full URL: https://your-domain.atlassian.net/wiki/spaces/SPACE/pages/123456/Title
  • Short URL: https://your-domain.atlassian.net/wiki/x/AbCdEf
Project Structure
doc-orchestrator/
├── .mcp.json # Confluence MCP server config
├── .env # Your credentials (not in git)
├── .gitignore
├── requirements.txt # Python dependencies (openai)
├── README.md
├── DESIGN.md # Agent & Classifier architecture
├── scripts/
│ ├── transcribe.py # Audio → text transcription
│ └── helper_mcp.py # Confluence helper MCP server
├── logs/ # Auto-generated logs (not in git)
│ ├── YYYY-MM-DD_HH-MM_transcript.json
│ ├── YYYY-MM-DD_HH-MM_meeting_analysis.json
│ └── YYYY-MM-DD_HH-MM_update.json
└── .claude/
└── skills/
└── doc-orchestrator/
├── SKILL.md # Main skill prompt
└── domains/
├── classifiers/
│ ├── topic.md # Topic classifier (5 meeting types)
│ └── part.md # Part classifier (5 domains)
├── agents/
│ ├── q.md # Quantization agent
│ ├── go.md # Graph Optimization agent
│ ├── mr.md # Model Representation agent
│ ├── me.md # Model Engineering agent
│ └── swe.md # Software Engineering agent
└── cross-cut/
└── scenarios.md # Shared S0-S3 context

Logs
Every run generates log files in logs/:
  • *_transcript.json — Raw transcription from audio input
  • *_update.json — Full record of what was analyzed, proposed, applied, and skipped
Troubleshooting
IssueSolution
/mcp shows no serversMake sure uv is installed and restart Claude Code
OPENAI_API_KEY not setCheck that .env file exists and contains the key
Confluence auth failsVerify your email and API token in .env
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
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observer.observe(document.body, { childList: true, subtree: true });
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - nota-github/DOC-ORCHESTRATOR · GitHub
Skip to content
BranchesTags
Repository files navigation
Document Orchestrator
AI agent that automatically updates Confluence documents based on meeting notes.
Built as a Claude Code skill — run it with /doc-orchestrator inside Claude Code.
What It Does
  1. Takes meeting notes (audio file or text)
  2. Searches Confluence for related documents
  3. Analyzes what needs to change based on meeting decisions
  4. Proposes changes with classification (Required / Recommended)
  5. Applies approved changes to Confluence with change log comments
Prerequisites
  • Claude Code installed
  • uv installed (curl -LsSf https://astral.sh/uv/install.sh | sh)
  • Atlassian account with API token
  • OpenAI API key (for audio transcription)
Setup
1. Clone the repo
git clone <repo-url>cd doc-orchestrator
2. Create .env file
Copy the template below and fill in your credentials:
# .env
CONFLUENCE_URL=https://your-domain.atlassian.net
CONFLUENCE_EMAIL=your-email@company.com
CONFLUENCE_TOKEN=your-atlassian-api-token
OPENAI_API_KEY=your-openai-api-key
To get an Atlassian API token:
3. Open Claude Code
cd doc-orchestrator
claude
The MCP server (Confluence connection) will be configured automatically via .mcp.json.
4. Run the skill
/doc-orchestrator

Usage Flow
Input Options
Input TypeHow
Audio fileProvide path to .mp3, .m4a, .wav, etc. — transcribed via OpenAI GPT-4o Transcribe
Text fileProvide path to .md or .txt meeting notes
Paste textPaste meeting notes directly into the chat
Step-by-Step
  1. (Optional) Provide Confluence page URLs you know are related
  2. Provide meeting notes (audio / text file / paste)
  3. Review the list of related Confluence documents found
  4. Select which documents to analyze
  5. Review proposed changes (Required / Recommended)
  6. Select which changes to apply
  7. Confirm target pages before update
  8. Changes are applied to Confluence with comments
Confluence URL Formats
Both formats are supported:
  • Full URL: https://your-domain.atlassian.net/wiki/spaces/SPACE/pages/123456/Title
  • Short URL: https://your-domain.atlassian.net/wiki/x/AbCdEf
Project Structure
doc-orchestrator/
├── .mcp.json # Confluence MCP server config
├── .env # Your credentials (not in git)
├── .gitignore
├── requirements.txt # Python dependencies (openai)
├── README.md
├── DESIGN.md # Agent & Classifier architecture
├── scripts/
│ ├── transcribe.py # Audio → text transcription
│ └── helper_mcp.py # Confluence helper MCP server
├── logs/ # Auto-generated logs (not in git)
│ ├── YYYY-MM-DD_HH-MM_transcript.json
│ ├── YYYY-MM-DD_HH-MM_meeting_analysis.json
│ └── YYYY-MM-DD_HH-MM_update.json
└── .claude/
└── skills/
└── doc-orchestrator/
├── SKILL.md # Main skill prompt
└── domains/
├── classifiers/
│ ├── topic.md # Topic classifier (5 meeting types)
│ └── part.md # Part classifier (5 domains)
├── agents/
│ ├── q.md # Quantization agent
│ ├── go.md # Graph Optimization agent
│ ├── mr.md # Model Representation agent
│ ├── me.md # Model Engineering agent
│ └── swe.md # Software Engineering agent
└── cross-cut/
└── scenarios.md # Shared S0-S3 context

Logs
Every run generates log files in logs/:
  • *_transcript.json — Raw transcription from audio input
  • *_update.json — Full record of what was analyzed, proposed, applied, and skipped
Troubleshooting
IssueSolution
/mcp shows no serversMake sure uv is installed and restart Claude Code
OPENAI_API_KEY not setCheck that .env file exists and contains the key
Confluence auth failsVerify your email and API token in .env
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
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, 'i');
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - nota-github/DOC-ORCHESTRATOR · GitHub
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Document Orchestrator
AI agent that automatically updates Confluence documents based on meeting notes.
Built as a Claude Code skill — run it with /doc-orchestrator inside Claude Code.
What It Does
  1. Takes meeting notes (audio file or text)
  2. Searches Confluence for related documents
  3. Analyzes what needs to change based on meeting decisions
  4. Proposes changes with classification (Required / Recommended)
  5. Applies approved changes to Confluence with change log comments
Prerequisites
  • Claude Code installed
  • uv installed (curl -LsSf https://astral.sh/uv/install.sh | sh)
  • Atlassian account with API token
  • OpenAI API key (for audio transcription)
Setup
1. Clone the repo
git clone <repo-url>cd doc-orchestrator
2. Create .env file
Copy the template below and fill in your credentials:
# .env
CONFLUENCE_URL=https://your-domain.atlassian.net
CONFLUENCE_EMAIL=your-email@company.com
CONFLUENCE_TOKEN=your-atlassian-api-token
OPENAI_API_KEY=your-openai-api-key
To get an Atlassian API token:
3. Open Claude Code
cd doc-orchestrator
claude
The MCP server (Confluence connection) will be configured automatically via .mcp.json.
4. Run the skill
/doc-orchestrator

Usage Flow
Input Options
Input TypeHow
Audio fileProvide path to .mp3, .m4a, .wav, etc. — transcribed via OpenAI GPT-4o Transcribe
Text fileProvide path to .md or .txt meeting notes
Paste textPaste meeting notes directly into the chat
Step-by-Step
  1. (Optional) Provide Confluence page URLs you know are related
  2. Provide meeting notes (audio / text file / paste)
  3. Review the list of related Confluence documents found
  4. Select which documents to analyze
  5. Review proposed changes (Required / Recommended)
  6. Select which changes to apply
  7. Confirm target pages before update
  8. Changes are applied to Confluence with comments
Confluence URL Formats
Both formats are supported:
  • Full URL: https://your-domain.atlassian.net/wiki/spaces/SPACE/pages/123456/Title
  • Short URL: https://your-domain.atlassian.net/wiki/x/AbCdEf
Project Structure
doc-orchestrator/
├── .mcp.json # Confluence MCP server config
├── .env # Your credentials (not in git)
├── .gitignore
├── requirements.txt # Python dependencies (openai)
├── README.md
├── DESIGN.md # Agent & Classifier architecture
├── scripts/
│ ├── transcribe.py # Audio → text transcription
│ └── helper_mcp.py # Confluence helper MCP server
├── logs/ # Auto-generated logs (not in git)
│ ├── YYYY-MM-DD_HH-MM_transcript.json
│ ├── YYYY-MM-DD_HH-MM_meeting_analysis.json
│ └── YYYY-MM-DD_HH-MM_update.json
└── .claude/
└── skills/
└── doc-orchestrator/
├── SKILL.md # Main skill prompt
└── domains/
├── classifiers/
│ ├── topic.md # Topic classifier (5 meeting types)
│ └── part.md # Part classifier (5 domains)
├── agents/
│ ├── q.md # Quantization agent
│ ├── go.md # Graph Optimization agent
│ ├── mr.md # Model Representation agent
│ ├── me.md # Model Engineering agent
│ └── swe.md # Software Engineering agent
└── cross-cut/
└── scenarios.md # Shared S0-S3 context

Logs
Every run generates log files in logs/:
  • *_transcript.json — Raw transcription from audio input
  • *_update.json — Full record of what was analyzed, proposed, applied, and skipped
Troubleshooting
IssueSolution
/mcp shows no serversMake sure uv is installed and restart Claude Code
OPENAI_API_KEY not setCheck that .env file exists and contains the key
Confluence auth failsVerify your email and API token in .env
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - nota-github/DOC-ORCHESTRATOR · GitHub
Skip to content
BranchesTags
Repository files navigation
Document Orchestrator
AI agent that automatically updates Confluence documents based on meeting notes.
Built as a Claude Code skill — run it with /doc-orchestrator inside Claude Code.
What It Does
  1. Takes meeting notes (audio file or text)
  2. Searches Confluence for related documents
  3. Analyzes what needs to change based on meeting decisions
  4. Proposes changes with classification (Required / Recommended)
  5. Applies approved changes to Confluence with change log comments
Prerequisites
  • Claude Code installed
  • uv installed (curl -LsSf https://astral.sh/uv/install.sh | sh)
  • Atlassian account with API token
  • OpenAI API key (for audio transcription)
Setup
1. Clone the repo
git clone <repo-url>cd doc-orchestrator
2. Create .env file
Copy the template below and fill in your credentials:
# .env
CONFLUENCE_URL=https://your-domain.atlassian.net
CONFLUENCE_EMAIL=your-email@company.com
CONFLUENCE_TOKEN=your-atlassian-api-token
OPENAI_API_KEY=your-openai-api-key
To get an Atlassian API token:
3. Open Claude Code
cd doc-orchestrator
claude
The MCP server (Confluence connection) will be configured automatically via .mcp.json.
4. Run the skill
/doc-orchestrator

Usage Flow
Input Options
Input TypeHow
Audio fileProvide path to .mp3, .m4a, .wav, etc. — transcribed via OpenAI GPT-4o Transcribe
Text fileProvide path to .md or .txt meeting notes
Paste textPaste meeting notes directly into the chat
Step-by-Step
  1. (Optional) Provide Confluence page URLs you know are related
  2. Provide meeting notes (audio / text file / paste)
  3. Review the list of related Confluence documents found
  4. Select which documents to analyze
  5. Review proposed changes (Required / Recommended)
  6. Select which changes to apply
  7. Confirm target pages before update
  8. Changes are applied to Confluence with comments
Confluence URL Formats
Both formats are supported:
  • Full URL: https://your-domain.atlassian.net/wiki/spaces/SPACE/pages/123456/Title
  • Short URL: https://your-domain.atlassian.net/wiki/x/AbCdEf
Project Structure
doc-orchestrator/
├── .mcp.json # Confluence MCP server config
├── .env # Your credentials (not in git)
├── .gitignore
├── requirements.txt # Python dependencies (openai)
├── README.md
├── DESIGN.md # Agent & Classifier architecture
├── scripts/
│ ├── transcribe.py # Audio → text transcription
│ └── helper_mcp.py # Confluence helper MCP server
├── logs/ # Auto-generated logs (not in git)
│ ├── YYYY-MM-DD_HH-MM_transcript.json
│ ├── YYYY-MM-DD_HH-MM_meeting_analysis.json
│ └── YYYY-MM-DD_HH-MM_update.json
└── .claude/
└── skills/
└── doc-orchestrator/
├── SKILL.md # Main skill prompt
└── domains/
├── classifiers/
│ ├── topic.md # Topic classifier (5 meeting types)
│ └── part.md # Part classifier (5 domains)
├── agents/
│ ├── q.md # Quantization agent
│ ├── go.md # Graph Optimization agent
│ ├── mr.md # Model Representation agent
│ ├── me.md # Model Engineering agent
│ └── swe.md # Software Engineering agent
└── cross-cut/
└── scenarios.md # Shared S0-S3 context

Logs
Every run generates log files in logs/:
  • *_transcript.json — Raw transcription from audio input
  • *_update.json — Full record of what was analyzed, proposed, applied, and skipped
Troubleshooting
IssueSolution
/mcp shows no serversMake sure uv is installed and restart Claude Code
OPENAI_API_KEY not setCheck that .env file exists and contains the key
Confluence auth failsVerify your email and API token in .env
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - nota-github/DOC-ORCHESTRATOR · GitHub
Skip to content
BranchesTags
Repository files navigation
Document Orchestrator
AI agent that automatically updates Confluence documents based on meeting notes.
Built as a Claude Code skill — run it with /doc-orchestrator inside Claude Code.
What It Does
  1. Takes meeting notes (audio file or text)
  2. Searches Confluence for related documents
  3. Analyzes what needs to change based on meeting decisions
  4. Proposes changes with classification (Required / Recommended)
  5. Applies approved changes to Confluence with change log comments
Prerequisites
  • Claude Code installed
  • uv installed (curl -LsSf https://astral.sh/uv/install.sh | sh)
  • Atlassian account with API token
  • OpenAI API key (for audio transcription)
Setup
1. Clone the repo
git clone <repo-url>cd doc-orchestrator
2. Create .env file
Copy the template below and fill in your credentials:
# .env
CONFLUENCE_URL=https://your-domain.atlassian.net
CONFLUENCE_EMAIL=your-email@company.com
CONFLUENCE_TOKEN=your-atlassian-api-token
OPENAI_API_KEY=your-openai-api-key
To get an Atlassian API token:
3. Open Claude Code
cd doc-orchestrator
claude
The MCP server (Confluence connection) will be configured automatically via .mcp.json.
4. Run the skill
/doc-orchestrator

Usage Flow
Input Options
Input TypeHow
Audio fileProvide path to .mp3, .m4a, .wav, etc. — transcribed via OpenAI GPT-4o Transcribe
Text fileProvide path to .md or .txt meeting notes
Paste textPaste meeting notes directly into the chat
Step-by-Step
  1. (Optional) Provide Confluence page URLs you know are related
  2. Provide meeting notes (audio / text file / paste)
  3. Review the list of related Confluence documents found
  4. Select which documents to analyze
  5. Review proposed changes (Required / Recommended)
  6. Select which changes to apply
  7. Confirm target pages before update
  8. Changes are applied to Confluence with comments
Confluence URL Formats
Both formats are supported:
  • Full URL: https://your-domain.atlassian.net/wiki/spaces/SPACE/pages/123456/Title
  • Short URL: https://your-domain.atlassian.net/wiki/x/AbCdEf
Project Structure
doc-orchestrator/
├── .mcp.json # Confluence MCP server config
├── .env # Your credentials (not in git)
├── .gitignore
├── requirements.txt # Python dependencies (openai)
├── README.md
├── DESIGN.md # Agent & Classifier architecture
├── scripts/
│ ├── transcribe.py # Audio → text transcription
│ └── helper_mcp.py # Confluence helper MCP server
├── logs/ # Auto-generated logs (not in git)
│ ├── YYYY-MM-DD_HH-MM_transcript.json
│ ├── YYYY-MM-DD_HH-MM_meeting_analysis.json
│ └── YYYY-MM-DD_HH-MM_update.json
└── .claude/
└── skills/
└── doc-orchestrator/
├── SKILL.md # Main skill prompt
└── domains/
├── classifiers/
│ ├── topic.md # Topic classifier (5 meeting types)
│ └── part.md # Part classifier (5 domains)
├── agents/
│ ├── q.md # Quantization agent
│ ├── go.md # Graph Optimization agent
│ ├── mr.md # Model Representation agent
│ ├── me.md # Model Engineering agent
│ └── swe.md # Software Engineering agent
└── cross-cut/
└── scenarios.md # Shared S0-S3 context

Logs
Every run generates log files in logs/:
  • *_transcript.json — Raw transcription from audio input
  • *_update.json — Full record of what was analyzed, proposed, applied, and skipped
Troubleshooting
IssueSolution
/mcp shows no serversMake sure uv is installed and restart Claude Code
OPENAI_API_KEY not setCheck that .env file exists and contains the key
Confluence auth failsVerify your email and API token in .env
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages