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Fix Ci

OrganizationPopular
ccusage
fix-ci

Diagnoses and fixes failing GitHub Actions checks with gh. Use when CI fails on a pull request and needs logs, focused fixes, and validation.

Overview

Publisherccusage
Repositoryccusage
Skill namefix-ci
Stars
19K
Forks
871
Bundled files
Instructions only
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ccusage on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ccusage/ccusage/tree/main/.agents/skills/fix-ci
  4. 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.
2

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/ccusage/ccusage.git /tmp/ccusage
mkdir -p .claude/skills
cp -r /tmp/ccusage/.agents/skills/fix-ci .claude/skills/fix-ci
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Fix CI

  1. Read the check state with gh pr checks, then pull the failing job logs with gh run view <run-id> --log-failed. Logs fetched through gh are reproducible; browser-only inspection is not. Pending checks can usually wait unless the failure is already clear.

  2. Reproduce locally. CI runs almost everything through Nix, so the failing step maps onto a just recipe:

    CI job / stepLocal
    preflight, or Run nix flake checkjust check
    Run Rust tests (nix build .#ccusage-tests)just rust::test
    JS testjust test-node
    Babashka performance harness testapps/ccusage/scripts/compare-pr-performance_test.clj

    Start with the narrowest command that reproduces the failure — a single cargo test filter — before the recipe above.

  3. Fix the smallest cause that explains the failed check, using the skill for the area being changed: testing, development, docs, or the nearest package AGENTS.md. When the failure was generated output or formatting, commit the regenerated result the check requires rather than hand-editing it.

  4. Commit with the commit skill; a manifest change and its lockfile update belong in the same commit, and unrelated cleanups belong in separate ones. Let the git hooks run.

  5. Push, then use create-pr to comment or request another review pass when appropriate.

Frequently asked questions

What does the Fix Ci AI skill do?

Diagnoses and fixes failing GitHub Actions checks with gh. Use when CI fails on a pull request and needs logs, focused fixes, and validation.

Why use Fix Ci on TypingMind?

Because you install it once and use it with any model. 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 Fix Ci in TypingMind?

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

Which AI models can use 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 Fix Ci?

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

Is the Fix Ci AI skill free?

It is published on GitHub by ccusage. Check the repository for licensing terms. 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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