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Fetch Ci Build

CommunityPopular
Dicklesworthstone
fetch-ci-build

Fetch CI build results and diagnose failures. Auto-detects provider from project files or URLs. Supports GitHub Actions, Buildkite, and CircleCI.

Overview

PublisherDicklesworthstone
Repositorypi_agent_rust
Skill namefetch-ci-build
Stars
1.7K
Forks
206
Bundled files
5
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Fetch Ci Build 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.
  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/Dicklesworthstone/pi_agent_rust.git /tmp/pi_agent_rust
mkdir -p .claude/skills
cp -r /tmp/pi_agent_rust/tests/ext_conformance/artifacts/agents-mikeastock/skills/fetch-ci-build .claude/skills/fetch-ci-build
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fetch Ci Build 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 Fetch Ci Build 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 Fetch Ci Build 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.

Fetch CI Build

Overview

Fetch CI build results, diagnose failures, extract actionable error information, and suggest fixes. Supports multiple CI providers with automatic detection.

Supported Providers

ProviderDetectionTool
GitHub Actions.github/workflows/ or github.com URLgh CLI
Buildkite.buildkite/ or buildkite.com URLPython script
CircleCI.circleci/ or circleci.com URLPython script

Auto-Detection

From URL

If the user provides a CI URL, detect provider:

  • github.com/.../actions/runs/... → GitHub Actions
  • buildkite.com/... → Buildkite
  • app.circleci.com/... or circleci.com/... → CircleCI

From Project Files

Check for CI configuration directories:

bash
# GitHub Actions
test -d .github/workflows && echo "github"

# Buildkite
test -d .buildkite && echo "buildkite"

# CircleCI
test -d .circleci && echo "circleci"

Workflow

dot
digraph workflow {
    rankdir=TB;
    node [shape=box];
    
    detect [label="1. Detect CI provider"];
    load [label="2. Load provider reference"];
    fetch [label="3. Fetch build results"];
    check [label="4. Check for failures" shape=diamond];
    passed [label="Report: Build passed!"];
    read [label="5. Read failing source files"];
    present [label="6. Present failures + proposed fixes"];
    ask [label="7. Ask: Apply fix?" shape=diamond];
    apply [label="Apply the fix"];
    complex [label="Complex failure?" shape=diamond];
    debug [label="Use systematic-debugging skill"];
    next [label="Next failure?" shape=diamond];
    done [label="Done"];
    
    detect -> load;
    load -> fetch;
    fetch -> check;
    check -> passed [label="passed"];
    check -> read [label="failed"];
    read -> present;
    present -> ask;
    ask -> apply [label="yes"];
    ask -> complex [label="no"];
    apply -> next;
    complex -> debug [label="yes"];
    complex -> next [label="no"];
    debug -> next;
    next -> read [label="yes"];
    next -> done [label="no"];
}

Step-by-Step Process

1. Detect CI Provider

First, check if the user provided a URL. If not, detect from project files.

2. Load Provider Reference

Read the appropriate reference file for provider-specific commands:

3. Fetch Build Results

Use the provider-specific commands to fetch build information and failures.

4. For Each Failure

Read the relevant source file to understand context:

  • For test failures: read the test file at the indicated line
  • For lint errors: read the source file at the indicated line
  • For TypeScript errors: read the file and understand the type issue

5. Present Findings and Propose Fix

Show the user:

  • What failed (test name, file, line)
  • Error message
  • Proposed fix based on the error

6. Ask User What To Do

Ask how to proceed:

  • "Apply the suggested fix"
  • "Investigate further before fixing"
  • "Skip this failure"
  • "Use systematic-debugging for deeper investigation"

7. Complex Failures

If the failure requires deeper investigation (e.g., unclear root cause, flaky test, environmental issue), recommend the systematic-debugging skill.

Error Types Detected

TypeDetectionCommon Fixes
Test failureMinitest/RSpec/Jest/pytest outputFix assertion, update expected value, fix test setup
Lint errorRubocop/ESLint/Biome violationsAuto-fix with linter's fix command
TypeScriptTSC compilation errorsAdd types, fix type mismatches
Build errorCompilation failuresFix syntax, missing dependencies

Common Mistakes

MistakeSolution
Can't detect providerSpecify provider explicitly or provide CI URL
Missing credentialsCheck provider reference for required env vars/auth
Build still runningWait for completion or check partial results
Rate limitingWait and retry

Integration with Other Skills

  • systematic-debugging: Use for complex failures requiring root cause analysis
  • test-driven-development: After fixing, ensure tests follow TDD principles
  • verification-before-completion: Run tests locally before pushing fix

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 Fetch Ci Build AI skill do?

Fetch CI build results and diagnose failures. Auto-detects provider from project files or URLs. Supports GitHub Actions, Buildkite, and CircleCI.

Why use Fetch Ci Build on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dicklesworthstone/pi_agent_rust/tree/main/tests/ext_conformance/artifacts/agents-mikeastock/skills/fetch-ci-build. 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 Fetch Ci Build?

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 Fetch Ci Build?

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

Is the Fetch Ci Build AI skill free?

It is published on GitHub by Dicklesworthstone. 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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