PluginBench
Skill
Official
Pass
Audit score 90

github-actions-efficiency

github/awesome-copilot

Audit GitHub Actions workflows to identify waste and recommend fixes that reduce CI minutes and costs.

What is github-actions-efficiency?

This skill inspects GitHub Actions workflows to find inefficiencies like missing caches, overly broad triggers, and unnecessary matrix jobs. Use it when you want to reduce CI runtime, cost, or wasted runs in an existing repository.

  • Measure workflow runtime and cost drivers using gh CLI and ripgrep
  • Identify missing dependency caches, concurrency cancellation, and over-broad triggers
  • Rank efficiency fixes by estimated daily CI minutes saved
  • Validate fixes with live test pushes on non-protected branches
  • Generate before/after efficiency reports with impact estimates

How to install github-actions-efficiency

npx skills add https://github.com/github/awesome-copilot --skill github-actions-efficiency
Prerequisites
  • GitHub repository with .github/workflows/ directory or GitHub Actions configuration
  • gh CLI installed and authenticated (optional but recommended for live validation)
  • ripgrep (rg) installed for workflow inspection
Claude Code
Cursor
Windsurf
Cline

How to use github-actions-efficiency

  1. 1.Run ripgrep to inspect existing workflows for caching, concurrency, triggers, and matrix configuration
  2. 2.Execute gh run list and gh run view to measure actual runtime and failure patterns
  3. 3.Load the appropriate reference file (actions.md, reporting.md, or patterns.md) based on your task
  4. 4.Apply the six candidate fixes against the guardrails to identify safe, high-impact changes
  5. 5.Validate fixes with a live test push on a non-protected branch if gh CLI access is available
  6. 6.Generate a before/after report with expected and measured savings

Use cases

Good for
  • Reduce CI costs by adding dependency caching and concurrency cancellation to existing workflows
  • Eliminate duplicate workflow coverage by consolidating overlapping jobs
  • Narrow workflow triggers to run only on relevant file changes
  • Optimize matrix strategies to match actual version/platform requirements
  • Parallelize independent jobs to reduce critical-path latency
Who it's for
  • DevOps engineers managing CI/CD pipelines
  • Repository maintainers looking to reduce GitHub Actions spend
  • Teams with slow or expensive CI workflows
  • Engineers setting up GitHub Actions for the first time

github-actions-efficiency FAQ

What if I don't have shell or gh CLI access?

Ask the user to paste .github/workflows/ contents and gh run list output. Perform a static-only analysis and note that some insights may be incomplete without live run data.

How do I choose which fixes to apply?

Rank the six candidate fixes by estimated daily CI minutes saved (per-run savings × runs per day). Select all candidates that pass the guardrails, up to a maximum of 3.

Will these fixes break my required validation checks?

No. The guardrails explicitly prevent dropping release, schema, migration, or shared-library checks. Any fix that hides required validation is dropped.

Can I reduce matrix breadth to save cost?

Only if you preserve documented matrix legs and the user has prioritized cost over latency. The new critical path must stay within 1.25× the original.

How do I validate fixes safely?

Use a live test push on a non-protected branch to validate path-gating and concurrency cancellation. If live validation is not possible, state that explicitly in your output.

Full instructions (SKILL.md)

Source of truth, from github/awesome-copilot.


name: github-actions-efficiency description: 'Audit GitHub Actions workflow efficiency and recommend fixes to reduce CI minutes and costs.'

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