
GitHub Actions Efficiency
OfficialFreeOptimize your CI workflows and reduce costs effectively.
Free · Opens the source repo
What GitHub Actions Efficiency does
The GitHub Actions Efficiency skill is designed to help developers and teams streamline their CI workflows by identifying inefficiencies in their GitHub Actions configurations. By auditing existing workflows, this skill pinpoints sources of wasted CI minutes and costs, providing actionable recommendations to enhance performance. Whether you're looking to reduce runtime or eliminate unnecessary workflow runs, this skill serves as a practical entry point for optimizing your CI processes.
When using this skill, you start by measuring the current state of your workflows. It utilizes specific commands to analyze your .github/workflows/ directory and the most recent CI runs, identifying key areas such as missing dependency caches, unnecessary job triggers, and expensive jobs that run too frequently. This initial analysis lays the groundwork for targeted improvements, ensuring that any recommendations made are based on actual usage data.
The skill offers a structured approach to applying fixes. It emphasizes the importance of maintaining essential validation checks and parallelism while proposing changes. By adhering to a set of guardrails, the skill ensures that any adjustments made do not compromise the integrity of the CI process. Users can expect to receive a ranked list of the top three fixes based on their potential impact, allowing for informed decision-making on which optimizations to implement.
This skill is particularly valuable for teams managing extensive CI workflows who want to cut costs without sacrificing quality. It is also useful for those starting new projects, as it provides guidance on setting up efficient workflows from the outset. By leveraging the references included, users can dive deeper into specific areas of concern and apply best practices effectively.
When to use it
Use this skill when you want to optimize existing GitHub Actions workflows or create efficient CI configurations from scratch.
When not to use it
This skill may not be suitable if you lack access to the `gh` CLI or if your workflows are already optimized and require no further adjustments.
What you can build with it
Improving Existing Workflows
A team notices high CI costs and uses this skill to audit their GitHub Actions, identifying key areas for improvement.
Creating New CI Configurations
A developer is setting up a new project and utilizes this skill to establish efficient GitHub Actions from the beginning.
Reducing CI Runtime
After experiencing slow CI builds, a user employs this skill to pinpoint and rectify workflow inefficiencies.
How to install GitHub Actions Efficiency
View source1. Install with the skills CLI
npx skills add github/awesome-copilot/github-actions-efficiency --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by githubGitHub 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
references/actions.md— audits, job gating, matrix reduction, live validation, and workflow-specific fixes.references/reporting.md— when the user asks for a before/after efficiency report.references/patterns.md— full YAML examples when inline audit commands are not enough.
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:
- Does not hide required validation — drop any fix that removes release, schema, migration, or shared-library checks.
- 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.
- Preserves only documented matrix legs — drop matrix legs with no explicit version or platform commitment.
- Write-back jobs use opt-in triggers — flag (do not drop) formatter or bot jobs that run automatically; recommend an opt-in trigger instead.
- 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.
- Add dependency caching with lockfile-based keys
- Add or correct
concurrencycancellation - Remove duplicate workflow coverage before merging jobs
- Narrow workflow or job triggers safely
- Reduce matrix breadth to match risk and event type
- Parallelize independent jobs on the critical path
4. Verify
- If
ghCLI 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
- Waste sources — top cost or latency drivers found in step 1
- Proposed fixes — top 3 (or all remaining) with supporting audit evidence
- Validation — what was proven live, what was checked locally only, and any remaining risk
- Impact — expected savings vs. measured savings; separate PR wall-clock time from total runner time
References
references/actions.mdreferences/reporting.mdreferences/patterns.mdreferences/review-rubric.md— load when reviewing completed efficiency work
Frequently asked questions about GitHub Actions Efficiency
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