Summary
I would like to discuss how GitHub Agentic Workflows should support Repo Mind Light in a way that is reusable across workflows.
The motivating example is a workflow in github/pull-requests that currently wires Repo Mind Light manually for issue triage. It works, but the setup is fairly bespoke and mixes together three different concerns:
- deterministic prep and indexing
- MCP server and agent-job setup
- prompt instructions telling the agent to use Repo Mind Light when available
The current shape makes sense for one workflow, but if multiple workflows want to use Repo Mind Light, the amount of hand-written YAML and prompt duplication grows quickly.
Motivating Example
In github/pull-requests, the current issue-triage.md includes:
- a custom
prepare_repo_mind job for incremental indexing, cache restore/save, and artifact upload
- an inline
mcp-servers.repo-mind declaration
- inline agent-job steps to download the artifact, write config, start the MCP server, wait for preload readiness, and capture logs
- inline prompt text that explicitly says "Use Repo Mind Light (Required)"
A simplified version of the current shape looks like this:
jobs:
prepare_repo_mind:
steps:
- uses: actions/cache/restore@v5
- run: docker run ... repo-mind-light index --result-json ...
- uses: actions/cache/save@v5
- uses: actions/upload-artifact@v7
mcp-servers:
repo-mind:
url: http://127.0.0.1:8000/mcp
allowed:
- query
steps:
- uses: actions/download-artifact@v8
- run: printf '%s\n' "$REPO_MIND_LIGHT_CONFIG_YAML" > .repo-mind-light.config.yml
- run: docker run -d ... "$REPO_MIND_LIGHT_IMAGE"
- run: curl --silent --fail http://127.0.0.1:8000/preload-status
And the workflow body separately contains instructions like:
### 1. Use Repo Mind Light (Required)
Use Repo Mind Light for repo-context retrieval. Make one focused request first,
then make at most one follow-up request only if the first result leaves a
specific gap that matters for routing.
There is also already a reusable setup precedent in the same repo:
imports:
- copilot-setup-steps.yml
That pattern is attractive because it keeps shared setup out of each workflow.
Design Alternatives
Alternative A: Standardize a supported Repo Mind Light composition pattern using existing gh-aw primitives
Use the existing gh-aw building blocks as the supported integration path for Repo Mind Light, and document that pattern explicitly:
- shared
.md import for prompt text + mcp-servers + common pre-agent-steps / post-steps
- reusable GitHub Actions workflow or composite action for deterministic prep/indexing
- consuming workflows import the shared component and call the reusable prep workflow
That would make the structure look more like:
imports:
- copilot-setup-steps.yml
- path: shared/repo-mind-light.md
with:
config-yaml: |
slug: ${{ github.repository }}
store_path: /var/lib/repo-mind-light/index
jobs:
prepare_repo_mind:
uses: ./.github/workflows/reusable-prepare-repo-mind.yml
Pros:
- works with existing gh-aw architecture
- keeps compiler surface area smaller
- shared import can inject both tool wiring and prompt text
- reusable workflow handles the non-agent deterministic job cleanly
- makes the documentation story part of the same approach instead of a separate alternative
Cons:
- still requires users to understand two reuse mechanisms
- still somewhat verbose
- Repo Mind Light remains a pattern rather than a first-class concept
Alternative B: Compiler support for more seamless Repo Mind Light integration
Open question for discussion: should gh-aw grow first-class compiler support for Repo Mind Light, or a more general abstraction that would make this kind of MCP-backed repo-context service easier to adopt?
I am not proposing this as the preferred direction yet, but I think it is worth discussing.
Possible shapes:
- a first-class
repo-context: / repo-mind-light: block that expands to the MCP server wiring and common lifecycle steps
- a special built-in import or template for Repo Mind Light
- compiler support for bundling a shared MCP setup pattern plus prompt snippet with less manual boilerplate
- a more general “MCP service lifecycle” abstraction for common start/wait/cleanup patterns
Potential upside:
- lower friction for teams to adopt Repo Mind Light consistently
- fewer chances to get cache/artifact/readiness/logging details wrong
- clearer default prompt guidance around using the tool when present
Potential downside:
- adds compiler/product surface area for something that may be adequately handled by current imports + reusable workflows
- may set a precedent for first-class treatment of integrations that could otherwise stay as composition patterns
Why I think this is worth discussing
The github/pull-requests example suggests that the current building blocks are close, but the reuse story is not obvious:
- the author has to manually split deterministic preparation from agent-facing composition
- prompt reuse and MCP reuse need to be designed together
- the “agent should use Repo Mind Light if available” behavior depends on both runtime wiring and prompt injection
Summary
I would like to discuss how GitHub Agentic Workflows should support Repo Mind Light in a way that is reusable across workflows.
The motivating example is a workflow in
github/pull-requeststhat currently wires Repo Mind Light manually for issue triage. It works, but the setup is fairly bespoke and mixes together three different concerns:The current shape makes sense for one workflow, but if multiple workflows want to use Repo Mind Light, the amount of hand-written YAML and prompt duplication grows quickly.
Motivating Example
In
github/pull-requests, the currentissue-triage.mdincludes:prepare_repo_mindjob for incremental indexing, cache restore/save, and artifact uploadmcp-servers.repo-minddeclarationA simplified version of the current shape looks like this:
And the workflow body separately contains instructions like:
### 1. Use Repo Mind Light (Required) Use Repo Mind Light for repo-context retrieval. Make one focused request first, then make at most one follow-up request only if the first result leaves a specific gap that matters for routing.There is also already a reusable setup precedent in the same repo:
That pattern is attractive because it keeps shared setup out of each workflow.
Design Alternatives
Alternative A: Standardize a supported Repo Mind Light composition pattern using existing gh-aw primitives
Use the existing gh-aw building blocks as the supported integration path for Repo Mind Light, and document that pattern explicitly:
.mdimport for prompt text +mcp-servers+ commonpre-agent-steps/post-stepsThat would make the structure look more like:
Pros:
Cons:
Alternative B: Compiler support for more seamless Repo Mind Light integration
Open question for discussion: should gh-aw grow first-class compiler support for Repo Mind Light, or a more general abstraction that would make this kind of MCP-backed repo-context service easier to adopt?
I am not proposing this as the preferred direction yet, but I think it is worth discussing.
Possible shapes:
repo-context:/repo-mind-light:block that expands to the MCP server wiring and common lifecycle stepsPotential upside:
Potential downside:
Why I think this is worth discussing
The
github/pull-requestsexample suggests that the current building blocks are close, but the reuse story is not obvious: