Gh Fix Ci

Organization

beep-effect

gh-fix-ci

Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions. Use the GitHub app from this plugin for PR metadata and patch context, and use `gh` for Actions check and log inspection before implementing any approved fix.

Overview

Publisher	beep-effect
Repository	`beep-effect`
Skill name	`gh-fix-ci`
Stars	74
Forks	14
Bundled files	4
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by beep-effect on GitHub. Read the source before you install it.

Installation

Install the Gh Fix Ci AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/beep-effect/beep-effect.git /tmp/beep-effect
mkdir -p .claude/skills
cp -r /tmp/beep-effect/plugins/github/skills/gh-fix-ci .claude/skills/gh-fix-ci

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gh Fix Ci in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gh Fix Ci on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gh Fix Ci is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GitHub Actions CI Fix

Overview

Use this skill when the task is specifically about failing GitHub Actions checks on a pull request. This workflow is hybrid by design:

Use the GitHub app from this plugin for PR metadata, changed files, and review context.
Use gh for GitHub Actions checks and logs because the connector does not expose that workflow end to end.
Summarize the root cause first, propose a focused fix plan, and implement only after explicit approval.

Prereq: authenticate with GitHub CLI once, then confirm with gh auth status. Repo and workflow scopes are typically required for Actions inspection.

Inputs

repo: path inside the repo (default .)
pr: PR number or URL (optional; defaults to current branch PR)
gh authentication for the repo host

Quick start

python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "<number-or-url>"
Add --json if you want machine-friendly output for summarization.

Workflow

Verify gh authentication.
- Run gh auth status in the repo.
- If unauthenticated, ask the user to run gh auth login (ensuring repo + workflow scopes) before proceeding.
Resolve the PR.
- If the user provides a PR number or URL, use that directly.
- Otherwise prefer the current branch PR with gh pr view --json number,url.
- When repo and PR are known, fetch PR metadata and patch context through the GitHub app from this plugin.
Inspect failing checks (GitHub Actions only).
- Preferred: run the bundled script (handles gh field drift and job-log fallbacks):
  - python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "<number-or-url>"
  - Add --json for machine-friendly output.
- Manual fallback:
  - gh pr checks <pr> --json name,state,bucket,link,startedAt,completedAt,workflow
    - If a field is rejected, rerun with the available fields reported by gh.
  - For each failing check, extract the run id from detailsUrl and run:
    - gh run view <run_id> --json name,workflowName,conclusion,status,url,event,headBranch,headSha
    - gh run view <run_id> --log
  - If the run log says it is still in progress, fetch job logs directly:
    - gh api "/repos/<owner>/<repo>/actions/jobs/<job_id>/logs" > "<path>"
Scope non-GitHub Actions checks.
- If detailsUrl is not a GitHub Actions run, label it as external and only report the URL.
- Do not attempt Buildkite or other providers; keep the workflow lean.
Summarize failures for the user.
- Provide the failing check name, run URL (if any), and a concise log snippet.
- Call out missing logs explicitly and do not over-claim certainty.
Propose a focused fix plan and wait for approval.
- Keep the plan tied directly to the failing checks and the observed root cause.
Implement after approval.
- Apply the approved fix locally.
- Run the most relevant local verification available.
Recheck status and summarize residual risk.
- Suggest re-running the relevant tests and gh pr checks.
- Report what is still unverified, what may still be flaky, and whether any failing checks were external and therefore not actionable here.

Bundled Resources

scripts/inspect_pr_checks.py

Fetch failing PR checks, pull GitHub Actions logs, and extract a failure snippet. Exits non-zero when failures remain so it can be used in automation.

Usage examples:

python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "123"
python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "https://github.com/org/repo/pull/123" --json
python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --max-lines 200 --context 40

Guardrails

Do not imply that the GitHub app can replace gh for Actions log retrieval.
Treat non-GitHub Actions providers as report-only unless the user explicitly wants a separate investigation path.
If the failure is clearly unrelated to the local diff, say so before proposing code changes.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Gh Fix Ci AI skill do?

Why use Gh Fix Ci on TypingMind?

Because you install it once and use it with any model. Gh Fix Ci is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gh Fix Ci in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/beep-effect/beep-effect/tree/main/plugins/github/skills/gh-fix-ci. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gh Fix Ci?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gh Fix Ci?

As many as you like. As long as a model supports skills, you can use Gh Fix Ci with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gh Fix Ci AI skill free?

Yes. It is published on GitHub by beep-effect under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

GitHub Actions CI Fix

Overview

Inputs

Quick start

Workflow

Bundled Resources

scripts/inspect_pr_checks.py

Guardrails

Bundled files

Frequently asked questions

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