copilot-studio-agent-documenter

name	copilot-studio-agent-documenter
description	Generate comprehensive documentation for Microsoft Copilot Studio agents from exported Dataverse solutions using the Power Platform CLI. Use when asked, to analyse the solution with the agents file and create documentation from the contents.

Copilot Studio Agent Documentor

To generate documentation in a single file, follow this process, using the sections below to analyse and structure the agents within the /Agents/ folder in this repo.

When to Use This Skill

• User requests documentation for an agent in Agents/<AgentName>/
• Analyzing agent capabilities, topics, and integrations
• Creating markdown documentation output in Docs/Agents/ folder

Step-by-Step Workflows

1. Identify Agent Structure

# Locate the agent solution
ls Agents/<AgentName>/src/bots/

# List all bot components
ls Agents/<AgentName>/src/botcomponents/

2. Extract Agent Metadata

Read key files in this order:

1. Agents/<AgentName>/src/Other/Solution.xml - Publisher, version, solution name
2. Agents/<AgentName>/src/bots/<prefix>_<agentname>/bot.xml - Agent metadata
3. Agents/<AgentName>/src/bots/<prefix>_<agentname>/configuration.json - Agent configuration

3. Document Agent Components

Topics (Conversation Flows)

• Pattern: botcomponents/<prefix>_<agent>.topic.<TopicName>/
• Read botcomponent.xml for topic name and state
• Check data file for conversation logic (if present)
• Document standard topics: ConversationStart, Greeting, Fallback, Escalate, OnError
• Highlight custom topics (non-standard names)

GPT Instructions

• Pattern: botcomponents/<prefix>_<agent>.gpt.default/
• Extract AI instructions from data file
• Document the agent's generative capabilities and system prompt

Connector Actions

• Pattern: botcomponents/<prefix>_<agent>.action.<Connector-Operation>/
• Example: .action.ServiceNow-GetRecord, .action.ServiceNow-Orderitem
• List all external actions the agent can perform
• Cross-reference with Assets/botcomponent_connectionreferenceset.xml

Multi-Agent Orchestration

• Pattern: botcomponents/<prefix>_<agent>.InvokeConnectedAgentTaskAction.<ChildAgent>/
• Document agent-to-agent handoffs
• Map parent agents to their specialized sub-agents
• Orchestration uses InvokeConnectedAgentTaskAction components to route conversations.

Test Phrases (Evaluation Sets)

• Pattern: botcomponents/mspva_<GUID>/botcomponent.xml with <category>Testing</category>
• Component type: <componenttype>19</componenttype>
• Extract test phrases from <description> or <name> elements
• These are sample questions/prompts used to evaluate agent responses
• Group test phrases by parent agent (<parentbotid>)
• Document which agent or topic each test phrase targets

4. Document Components and External Integrations

File Structure (per component)

botcomponents/<componentschema>/
├── botcomponent.xml    # Metadata (name, parent, state)
└── data                # Optional binary/additional data

Solution Metadata

• Other/Solution.xml - Publisher, version, localization settings
• Assets/botcomponent_*.xml - Cross-cutting configuration sets
• Schema name → physical folder name mapping is 1:1

Connection References

Read Agents/<AgentName>/src/Other/Customizations.xml:

• Extract <connectionreference> elements
• Document connectorid (e.g., /providers/Microsoft.PowerApps/apis/shared_service-now)
• Note connection display names

Knowledge Sources

Read Agents/<AgentName>/src/unstructuredfilesearchentities/*.meta.xml:

• Extract <sourceurl> values (external API endpoints)
• Document knowledge source types (<knowledgesource> codes)

Dataverse Tables and Entities

Agents may include Dataverse table search capabilities for querying business data. These are found in:

• Agents/<AgentName>/src/dvtablesearchs/ - Search configurations
• Agents/<AgentName>/src/dvtablesearchentities/ - Entity/table mappings

Relationship Structure:

1. Each dvtablesearch.xml defines a search configuration with a unique <dvtablesearchid>
2. Each dvtablesearchentity.xml links to a search via <dvtablesearchid> and specifies the <entitylogicalname> (table)
3. Multiple entities can be associated with a single search configuration

Analysis Process:

To find Dataverse table searches:

# Find all Dataverse table searches
ls Agents/<AgentName>/src/dvtablesearchs/

# Find all entity mappings
ls Agents/<AgentName>/src/dvtablesearchentities/

For each dvtablesearch:

1. Read dvtablesearchs/<guid>/dvtablesearch.xml - Extract search name and ID
2. Find related entities by searching for the dvtablesearchid in dvtablesearchentities
3. Read each dvtablesearchentities/<guid>/dvtablesearchentity.xml - Extract entity logical name and display name

Generate ERD Diagram: Create a Mermaid entity-relationship diagram showing:

• Tables/entities involved in the search
• Relationships between search configurations and entities
• Entity attributes when available

erDiagram
    DvTableSearch ||--o{ DvTableSearchEntity : "configures"
    DvTableSearchEntity ||--|| DataverseTable : "queries"
    
    DvTableSearch {
        guid dvtablesearchid PK
        string name
        int searchtype
    }
    
    DvTableSearchEntity {
        guid dvtablesearchentityid PK
        guid dvtablesearchid FK
        string entitylogicalname
        string name
    }
    
    DataverseTable {
        string entitylogicalname PK
        string displayname
    }

Example Mapping:

• Search: PeopleonAccount_Account_sKtInwp9Jyd91zLl63PSV (ID: c5010e77-c900-4bf1-898d-c4c0ab9eed30)
• Entity: account (Account table)

5. Extract Test Phrases for Evaluation

Search for bot components with <category>Testing</category>:

grep -r "<category>Testing</category>" Agents/<AgentName>/src/botcomponents/ -l

For each testing component:

1. Read botcomponents/<guid>/botcomponent.xml
2. Extract <description> and <name> fields - these contain the test phrases
3. Note the <parentbotid> to identify which agent the test is for
4. Group test phrases by agent for documentation

Test phrases are used for:

• Evaluating agent responses to common queries
• Regression testing after agent updates
• Demonstrating agent capabilities with sample questions

6. Generate Documentation Output

Create markdown file in Docs/<AgentName>.md with sections:

# <Agent Display Name>

**Solution Name:** <from Solution.xml>
**Version:** <from Solution.xml>
**Publisher:** <from Solution.xml>

## Overview
<Brief description of agent purpose>

## Agent Architecture
<Multi-agent diagram if applicable>

## Topics
### Standard Topics
- List ConversationStart, Greeting, Fallback, etc.

### Custom Topics
- Document business-specific conversation flows

## GPT Instructions
<System prompt summary>

## External Integrations
### Connectors
- **ServiceNow**: <list actions>
- **<OtherConnector>**: < >


 URL: 
 Type: 




The agent has access to the following Dataverse tables for data queries:

Configured Searches

Search Name	Search ID	Entity	Description

Component Inventory

• Total Topics:
• Total Actions:
• Child Agents:
• Dataverse Table Searches:
• Dataverse Entities:

Test Phrases & Evaluation Sets

• "<test phrase 1>"
• "<test phrase 2>"
• "<test phrase 3>"

• "<test phrase 1>"
• "<test phrase 2>"

### Naming Conventions to Recognize

#### Component Schema Names
- Format: `<customizationprefix>_<logicalname>.<componenttype>.<descriptor>`
- Example: `cr667_primaryPortalAgent.InvokeConnectedAgentTaskAction.ClientExplorer`
- The prefix (e.g., `cr667`, `pkb`) comes from the Dataverse publisher

#### Topic Naming Patterns
- Standard: `.topic.Greeting`, `.topic.Fallback`, `.topic.OnError`
- Custom: `.topic.<Intent>_<GUID>` or `.topic.<FriendlyName>`

#### Action Naming Pattern
- Format: `.action.<ConnectorName>-<OperationName>`
- Example: `.action.ServiceNow-Getcatalogitems`

### Common Analysis Commands

```bash
# Count topics for an agent
ls Agents/<AgentName>/src/botcomponents/ | grep "\.topic\." | wc -l

# Find all connector actions
ls Agents/<AgentName>/src/botcomponents/ | grep "\.action\."

# Check for multi-agent orchestration
ls Agents/<AgentName>/src/botcomponents/ | grep "InvokeConnectedAgentTaskAction"

# Find external service URLs
grep -r "sourceurl\|connectorid" Agents/<AgentName>/src/

# List all agents in solution
ls Agents/<AgentName>/src/bots/

# Find all test phrases/evaluation sets
grep -r "<category>Testing</category>" Agents/<AgentName>/src/botcomponents/ -A 3

# Check for Dataverse table searches
ls Agents/<AgentName>/src/dvtablesearchs/ 2>/dev/null || echo "No Dataverse searches"

# List Dataverse entities
ls Agents/<AgentName>/src/dvtablesearchentities/ 2>/dev/null || echo "No Dataverse entities"

# Find entity-to-search mappings
grep -r "dvtablesearchid" Agents/<AgentName>/src/dvtablesearchentities/

Output Best Practices

1. Always output to Docs/ - Never create documentation in other folders
2. Use agent name as filename - Docs/<AgentName>.md
3. Include file references - Link back to source files when describing components
4. Configuration - List out in a table the configuration of each othe bots.
5. Document multi-agent relationships - Show parent-child agent hierarchies in a mermaid diagram. Group all the documentation by the agent, showing documentation topics underneath each group.
6. Highlight integrations - External APIs and connectors are critical for understanding agent capabilities
7. Count components - Provide metrics (# topics, # actions, # child agents)
8. Include test phrases - Document evaluation test phrases grouped by agent to demonstrate capabilities and provide testing examples
9. Other documentation - Remove references to other documentation in the repository. This file should be standalone.
10. Technical depth - Include some explainations of components, assuming that the audience less technical and may not know what these components mean - unless the request asks for highly technical output.

Example: multiagentdemo Analysis

The multiagentdemo solution contains 5 agents:

• primaryPortalAgent (orchestrator)
• getSkillName (People Skills Finder)
• myServices (ServiceNow integration with 3 actions)
• serviceNowKnowledgeAgent (knowledge base queries)
• whoWhat (account lookups)

ServiceNow integration found:

• Connector: shared_service-now
• Actions: GetRecord, Getcatalogitems, Orderitem
• Knowledge URL: https://<instance-name>.service-now.com/

Key Files Reference

• Solution.xml - Version, publisher, solution metadata
• Customizations.xml - Connection references to external services
• botcomponent_connectionreferenceset.xml - Bot-to-connector mappings
• unstructuredfilesearchentities/*.meta.xml - Knowledge source URLs
• botcomponents/*/botcomponent.xml - Individual component metadata
• botcomponents/*/data - Individual component data files
• bots/*/bot.xml - Top-level bot definitions
• bots/*/configuration.json - Bot configuration settings
• dvtablesearchs/*/dvtablesearch.xml - Dataverse table search configurations
• dvtablesearchentities/*/dvtablesearchentity.xml - Dataverse entity/table mappings

When you are building references to files, navigate from the repo root, as the generated document can existing under a subfolder when generated.