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1 change: 0 additions & 1 deletion .markdownlint-cli2.jsonc
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Expand Up @@ -9,7 +9,6 @@
"extension/README.md",
"extension/README.*.md",
"extension/CHANGELOG.md",
"collections/*.collection.md",
"plugins/**/agents/**",
"plugins/**/instructions/**",
"plugins/**/commands/**",
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12 changes: 7 additions & 5 deletions collections/ado.collection.md
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Manage Azure DevOps work items, monitor builds, create pull requests, and convert requirements documents into structured work item hierarchies — all from within VS Code.
# Azure DevOps Integration

Manage Azure DevOps work items, monitor builds, create pull requests, and convert requirements documents into structured work item hierarchies - all from within VS Code.

<!-- BEGIN AUTO-GENERATED ARTIFACTS -->

### Chat Agents
## Chat Agents

| Name | Description |
|-------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
| **ado-backlog-manager** | Orchestrator agent for Azure DevOps backlog management workflows including triage, discovery, sprint planning, PRD-to-work-item conversion, and execution |
| **ado-prd-to-wit** | Product Manager expert for analyzing PRDs and planning Azure DevOps work item hierarchies |

### Prompts
## Prompts

| Name | Description |
|-------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------|
Expand All @@ -23,7 +25,7 @@ Manage Azure DevOps work items, monitor builds, create pull requests, and conver
| **ado-triage-work-items** | Triage untriaged Azure DevOps work items with field classification, iteration assignment, and duplicate detection |
| **ado-update-wit-items** | Prompt to update work items based on planning files |

### Instructions
## Instructions

| Name | Description |
|-----------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
Expand All @@ -37,7 +39,7 @@ Manage Azure DevOps work items, monitor builds, create pull requests, and conver
| **ado/ado-wit-planning** | Reference specification for Azure DevOps work item planning files, templates, field definitions, and search protocols |
| **shared/hve-core-location** | Important: hve-core is the repository containing this instruction file; Guidance: if a referenced prompt, instructions, agent, or script is missing in the current directory, fall back to this hve-core location by walking up this file's directory tree. |

### Skills
## Skills

| Name | Description |
|------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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10 changes: 6 additions & 4 deletions collections/coding-standards.collection.md
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# Coding Standards

Enforce language-specific coding conventions and best practices across your projects, with pre-PR code review agents for catching functional defects early. This collection provides instructions for bash, Bicep, C#, PowerShell, Python, Rust, and Terraform that are automatically applied based on file patterns, plus agents that review branch diffs before opening pull requests.

<!-- BEGIN AUTO-GENERATED ARTIFACTS -->

### Chat Agents
## Chat Agents

| Name | Description |
|----------------------------|---------------------------------------------------------------------------------------------------------------------------|
| **code-review-full** | Orchestrator that runs functional and standards code reviews via subagents and produces a merged report |
| **code-review-functional** | Pre-PR branch diff reviewer for functional correctness, error handling, edge cases, and testing gaps |
| **code-review-standards** | Skills-based code reviewer for local changes and PRs - applies project-defined coding standards via dynamic skill loading |

### Prompts
## Prompts

| Name | Description |
|----------------------------|----------------------------------------------------------------------------------------------------|
| **code-review-full** | Run both functional and standards code reviews on the current branch in a single pass |
| **code-review-functional** | Pre-PR branch diff review for functional correctness, error handling, edge cases, and testing gaps |

### Instructions
## Instructions

| Name | Description |
|---------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
Expand All @@ -37,7 +39,7 @@ Enforce language-specific coding conventions and best practices across your proj
| **coding-standards/uv-projects** | Create and manage Python virtual environments using uv commands |
| **shared/hve-core-location** | Important: hve-core is the repository containing this instruction file; Guidance: if a referenced prompt, instructions, agent, or script is missing in the current directory, fall back to this hve-core location by walking up this file's directory tree. |

### Skills
## Skills

| Name | Description |
|-------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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8 changes: 5 additions & 3 deletions collections/data-science.collection.md
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# Data Science

Generate data specifications, Jupyter notebooks, and Streamlit dashboards from natural language descriptions. Evaluate AI-powered data systems against Responsible AI standards. This collection includes specialized agents for data science workflows in Python and RAI assessment.

> [!CAUTION]
> The RAI agents and prompts in this collection are **assistive tools only**. They do not replace qualified human review, organizational RAI review boards, or regulatory compliance programs. All AI-generated RAI artifacts **must** be reviewed and validated by qualified professionals before use. AI outputs may contain inaccuracies, miss critical risks, or produce recommendations that are incomplete or inappropriate for your context.

<!-- BEGIN AUTO-GENERATED ARTIFACTS -->

### Chat Agents
## Chat Agents

| Name | Description |
|------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
Expand All @@ -16,7 +18,7 @@ Generate data specifications, Jupyter notebooks, and Streamlit dashboards from n
| **researcher-subagent** | Research subagent using search tools, read tools, fetch web page, github repo, and mcp tools |
| **test-streamlit-dashboard** | Automated testing for Streamlit dashboards using Playwright with issue tracking and reporting |

### Prompts
## Prompts

| Name | Description |
|---------------------------------|------------------------------------------------------------------------------------------------------------------------------------------|
Expand All @@ -25,7 +27,7 @@ Generate data specifications, Jupyter notebooks, and Streamlit dashboards from n
| **rai-plan-from-security-plan** | Initiate a responsible AI assessment from a completed Security Plan using the RAI Planner agent in from-security-plan mode (recommended) |
| **synth-data-generate** | Generate comprehensive synthetic data for any specified subject with realistic patterns and relationships |

### Instructions
## Instructions

| Name | Description |
|----------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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