> For the complete documentation index, see llms.txt.
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Ingest prompts and skills from GitHub using GitOps

Implement with AI

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Prerequisite: Install Port MCP

Teams that manage AI prompts and skills as code need a reliable way to sync those assets into Port. This guide shows you how to structure prompt and skill files in your GitHub repositories and map them to Port blueprints using the GitHub app integration. This gives you a GitOps workflow where GitHub is the source of truth and Port stays in sync automatically.

Skill entity view synced from GitHub

Common use cases

  • Keep AI prompts and skills version-controlled with clear audit trails.
  • Avoid manual entity creation and drift across systems.

Prerequisites

This guide assumes the following:

Set up data model

Let's create two blueprints to manage AI prompts and skills.

Create the prompt blueprint

Follow the steps in the Set up the data model section of the prompts documentation to create the prompt blueprint.

Create the skill blueprint

Follow the steps in the Step 1: Create the skill blueprint section of the skills documentation to create the skill blueprint.

You can map GitHub files and folders to Port entities. The structure below keeps prompts and skills consistent and predictable.

Prompt files

Store prompts as YAML files under .github/prompts using the .prompt.yaml suffix. This is consistent with GitHub's prompt storage standard.

Example file: .github/prompts/code-review.prompt.yaml.

Example prompt file (click to expand)
name: code-review
description: Review code changes for correctness, security, performance, and test coverage following repo conventions.
arguments:
- name: change_scope
description: Summary of the changes or files to review.
required: false
- name: focus_areas
description: Specific concerns to prioritize (e.g., security, performance).
required: false
message: |-
# Code review

Review code changes for this repository.

Inputs:
- change_scope: {{change_scope}}
- focus_areas: {{focus_areas}}

## Instructions

Focus on:
- correctness and edge cases.
- security risks and input validation.
- performance regressions.
- missing tests or insufficient coverage.
- adherence to repo conventions in `AGENTS.md`.

Output format:
1. Findings (ordered by severity).
2. Questions and assumptions.
3. Suggested fixes.

## Examples
- Review changes in {{change_scope}} with focus on {{focus_areas}}.
- If {{change_scope}} is empty, review the full diff and infer key risks.

## Guidelines
- Be specific and cite affected areas.
- Prioritize actionable feedback.

Skill folders

Store each Anthropics skill in its own folder under skills/. Each folder should include a SKILL.md file with YAML frontmatter and instructions.

Choose one mapping kind. Do not combine them:

  • Use the skill kind when you only need SKILL.md instructions in Port. It does not ingest files under references/ or assets/.
  • Use the file kind when those extra files must land on the skill entity as properties.references and properties.assets.

Do not model extra files as related entities, and do not reconstruct references with mirror or calculation properties.

Example file: skills/my-skill/SKILL.md.

Example skill file (click to expand)
---
name: my-skill-name
description: A clear description of what this skill does and when to use it
---

# My skill name

Add your instructions here that the AI should follow when this skill is active.

## Examples
- Example usage 1.
- Example usage 2.

## Guidelines
- Guideline 1.
- Guideline 2.
File content validation

Make sure your prompt and skill files contain only the fields you intend to expose in Port, and avoid including secrets or credentials in any file content that will be ingested.

Update integration mapping

Now you will configure the GitHub integration to ingest prompts and skills from your repositories.

  1. Go to the data sources page in Port.

  2. Find your GitHub integration and click Manage.

  3. Go to the Mapping tab.

  4. Update the mapping configuration. Choose skill kind or file kind for skills. Do not combine them:

    Use this mapping when you only need SKILL.md instructions. Extra files in the skill folder are not ingested.

    GitHub Ocean mapping (skill kind) (click to expand)
    deleteDependentEntities: false
    createMissingRelatedEntities: true
    enableMergeEntity: true
    resources:
    - kind: repository
    selector:
    query: 'true'
    teams: true
    includedFiles:
    - README.md
    port:
    entity:
    mappings:
    identifier: .name
    title: .name
    blueprint: '"githubRepo"'
    properties:
    readme: .__includedFiles["README.md"]
    url: .html_url
    defaultBranch: .default_branch
    relations:
    githubTeams: '[.teams[].id | tostring]'

    - kind: skill
    selector:
    query: 'true'
    paths:
    - path: 'skills/**/SKILL.md'
    organization: my-org # Optional if githubOrganization is set (required if not set)
    repos:
    - name: my-repo
    branch: main
    port:
    entity:
    mappings:
    identifier: .__repository.full_name + "/" + .skill.skillMdPath
    title: .skill.name // .skill.skillMdPath
    blueprint: '"skill"'
    properties:
    instructions: .skill.instructions
    description: .skill.description
    location: '"global"'

    - kind: file
    selector:
    query: 'true'
    files:
    - path: .github/prompts/*.prompt.yaml
    skipParsing: false
    organization: my-org # Optional if githubOrganization is set (required if not set)
    repos:
    - name: my-repo
    branch: main
    port:
    entity:
    mappings:
    identifier: .__repository.name + "/" + .name
    title: .name | split(".") | .[0]
    blueprint: '"prompt"'
    properties:
    description: .content.description
    arguments: .content.arguments
    template: .content.message
    relations:
    repository: .__repository
Ocean differences

GitHub (Ocean) uses files with organization and repos structure to scope which repositories are scanned. Use .content instead of .file.content for file content. For folders, use includedFiles and .__includedFiles["filename"] instead of the file:// prefix. Use .__repository or .repository for the repository relation.

  1. Click Save & Resync to update the integration configuration.

Test the configuration

Now you can validate the full workflow and confirm that changes in GitHub appear in the Port catalog.

  1. Update a .prompt.yaml or SKILL.md file in your repository and merge the change.
  2. Go to your context lake page.
  3. Find the corresponding Prompt or Skill entity and confirm the content is updated.