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Deploy & cloud (DevOps)40k · #5167

github-actions-efficiency

Makes your agent analyze the efficiency of code automation processes. It suggests improvements to spend less time and money on testing and building.

What it does

This tool helps find and fix inefficient ways of using GitHub Actions, which is a system that automates tasks in programming projects. The goal is to make these automated tasks run faster and cost less.

When to use it

  • ✓When you want your automated tasks (CI) to run faster.
  • ✓If you are spending too much money on GitHub Actions.
  • ✓To optimize or create automation workflows in your project.

Example of what to ask your AI

“How can I optimize my GitHub Actions workflows to reduce costs?”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/github/awesome-copilot/blob/main/skills/github-actions-efficiency/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/github/awesome-copilot/blob/main/skills/github-actions-efficiency/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool analyzes your existing workflows to identify bottlenecks and waste. It then suggests the top 3 fixes based on data and safety rules to improve efficiency.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add github/awesome-copilot --skill github-actions-efficiency

Or download just the file:

curl -L https://raw.githubusercontent.com/github/awesome-copilot/main/skills/github-actions-efficiency/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

GitHub Actions Efficiency

Use this skill as a lean entrypoint for GitHub Actions efficiency work. Inspect the repo, identify the waste source, and load only the reference material needed for the current task.

If no workflows exist yet, load references/actions.md and define a baseline before proceeding with the steps below.

If shell or gh CLI access is unavailable: ask the user to paste .github/workflows/ contents and gh run list --limit 10 output. If only partial files are provided, note it: "Audit based on provided files only; some insights may be incomplete." Begin responses from files alone with: "Static-only analysis (not confirmed with live runs)."

Use This Skill When

  • The user wants to reduce GitHub Actions runtime, CI cost, or wasted workflow runs.
  • The repo has existing workflows in .github/workflows/ or explicit GitHub Actions configuration questions.
  • The user asks for caching, concurrency, path filters, matrix reduction, job optimization, or workflow-specific fixes.
  • The user needs help creating a new GitHub Actions workflow or CI baseline from scratch.

Load Only What You Need

Core Workflow

1. Measure first

rg -n "on:|concurrency:|paths:|paths-ignore:|strategy:|matrix:|cache:" .github/workflows
gh run list --limit 10
run_id=$(gh run list --limit 1 --json databaseId --jq '.[0].databaseId')
gh run view "$run_id" --log-failed

Look for: missing dependency caches, missing concurrency cancellation, over-broad triggers, duplicate workflow coverage, and expensive jobs that run on every change regardless of scope.

2. Apply guardrails

Check each proposed fix against these rules before recommending it:

  1. Does not hide required validation — drop any fix that removes release, schema, migration, or shared-library checks.
  2. Does not reduce parallelism without justification — drop unless the user prioritised cost over latency and the new critical path stays within 1.25× the original.
  3. Preserves only documented matrix legs — drop matrix legs with no explicit version or platform commitment.
  4. Write-back jobs use opt-in triggers — flag (do not drop) formatter or bot jobs that run automatically; recommend an opt-in trigger instead.
  5. Repo changes stay separate from org settings — split any fix that mixes repo-editable YAML with org-level or GitHub-account settings into two distinct recommendations.

3. Select the top 3 fixes

From the six candidates below, keep only those supported by audit evidence from step 1 and passing all guardrails from step 2. Rank survivors by estimated daily CI minutes saved (per-run savings × runs per day). Select all candidates that meet both criteria, up to a maximum of 3.

  1. Add dependency caching with lockfile-based keys
  2. Add or correct concurrency cancellation
  3. Remove duplicate workflow coverage before merging jobs
  4. Narrow workflow or job triggers safely
  5. Reduce matrix breadth to match risk and event type
  6. Parallelize independent jobs on the critical path

4. Verify

  • If gh CLI access is available, validate path-gating and concurrency cancellation with a live test push on a non-protected branch.
  • If live validation is not possible, state that explicitly in the output.
  • Treat unexpected live behavior as a real bug even when the YAML looks correct.

Required Output

  1. Waste sources — top cost or latency drivers found in step 1
  2. Proposed fixes — top 3 (or all remaining) with supporting audit evidence
  3. Validation — what was proven live, what was checked locally only, and any remaining risk
  4. Impact — expected savings vs. measured savings; separate PR wall-clock time from total runner time

References

FAQ

What are 'CI minutes'?

'CI minutes' (Continuous Integration minutes) are the total time your automated tasks (workflows) take to run on GitHub Actions. Reducing this time saves money.

What is 'caching'?

Caching is a technique to temporarily store files or data that are used frequently. This speeds up the execution of automated tasks because they don't need to download or generate everything again each time.

What are 'triggers'?

Triggers are events that automatically start a workflow. For example, a code commit or opening a 'pull request'. Optimizing triggers means ensuring workflows only run when truly necessary.

Details

Original description by the author

Audit GitHub Actions workflow efficiency and recommend fixes to reduce CI minutes and costs.

repo: github/awesome-copilot

Popularity

GitHub stars
40k
Ranking position
#5167
License
MIT
Updated
10/15/2026

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