agentleFS
redhat-developerredhat-developer/rhdh-skills/skills/meta/setup-rhdh-skills/SKILL.md

setup-rhdh-skills

Skill20 starsChanged 21 days agoApache-2.0View on GitHub

Install, configure, diagnose, or repair the complete RHDH skills environment.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run the setup doctor before every branch:

    line 30

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Set Up RHDH Skills

Bootstrap the complete pack, then configure the capabilities needed by its model skills. This is a human entry point because installation, credentials, and external mutations require human agency.

Choose a setup branch

RequestLoad
Install, upgrade, or repair the complete skill collectionreferences/install.md
Configure Jira CLI, REST, or GraphQL accessreferences/jira.md
Configure Google Workspace access for schedules and test plansreferences/google-workspace.md
Configure the RHDH private-data checkoutreferences/private-data.md
Authenticate Atlassian MCP in Cursorreferences/atlassian-mcp.md
Discover or configure RHDH repositoriesreferences/repositories.md
Configure containers and the local RHDH runtimereferences/local-runtime.md
Authenticate the OpenShift CI Gangway adapterreferences/openshift-ci.md

With no branch in the request, show this table and wait for the user's selection.

Preflight

Run the setup doctor before every branch:

uv run scripts/setup.py doctor --json

Consume the complete report. Reuse it during the session unless setup changes. The doctor lists installed skills, the skills still missing, capability status, and configuration locations; it does not read credentials.

Write gate

Installing skills and configuring capabilities writes to the user's machine and accounts. Invoke the named skill mutation-gate and follow it.

scripts/setup.py install-plan states the ordered install operations, and scripts/setup.py apply --plan <file> --confirm runs the approved plan and reports one outcome per operation. Configuration branches state their own operations the same way.

Credentials remain in the owning tool's credential store or OS keyring. Pass secrets directly to the tool without placing them in conversation, configuration JSON, plans, outcome reports, or pack content.

Completion

A branch is complete when the doctor reports every promoted skill in assets/catalog.json plus grilling, code-review, and handoff as installed, the branch's own capability reads as present in that same doctor report, and the branch reference's smoke check has been run with its output shown. An install branch additionally requires one reported outcome for every operation in the approved plan, and the user told to restart or rescan the agent. When a model skill sent the user here because a capability was missing, every capability it named must report installed before the branch closes. Name any capability still missing as unresolved instead of closing on it.

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Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.