Agent skill

Running GitHub Actions Efficiently

by kajisho5 in kajisho5/ffmpeg-skill

Cut GitHub Actions minutes and wall-clock time without losing coverage — the OS billing multiplier (macOS 10x / Windows 2x / Linux 1x), trigger hygiene that stops push+pullrequest double-firing…

MITAuto-check: notesDevOps & Cloud

Install Running GitHub Actions Efficiently

skills CLI
$ npx skills add kajisho5/ffmpeg-skill --skill running-github-actions-efficiently -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kajisho5/ffmpeg-skill running-github-actions-efficiently --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/kajisho5/ffmpeg-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/github-actions .claude/skills/running-github-actions-efficiently && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
running-github-actions-efficiently
GitHub stars
1.9k
Token cost
~3.3k tokens
SKILL.md length
1,302 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

Cut GitHub Actions minutes and wall-clock time without losing coverage — the OS billing multiplier (macOS 10x / Windows 2x / Linux 1x), trigger hygiene that stops push+pullrequest double-firing…

  • Hygiene that stops push+pullrequest double-firing
  • SKILL.md covers First, know the one number…, Trigger hygiene: stop paying…, Concurrency: kill superseded… and Cache dependencies — keyed on…, plus 6 more sections
  • Calls curl and swift; reaches github.com
  • Concurrency that cancels superseded runs

What it does

Running GitHub Actions Efficiently is an agent skill from kajisho5/ffmpeg-skill. Cut GitHub Actions minutes and wall-clock time without losing coverage — the OS billing multiplier (macOS 10x / Windows 2x / Linux 1x), trigger hygiene that stops push+pullrequest double-firing, concurrency that cancels superseded runs, dependency caching keyed on lockfiles, matrix discipline, and auditing scheduled crons that bill 24/7. Use when CI is burning included minutes, when runs feel slow, when setting up a new repo's workflows, or when reviewing an existing workflow for waste.

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering CI/CD, Dependency management and Scheduled and recurring tasks. It works with GitHub Actions, Linux, macOS and Xcode. The licence is MIT.

When your agent uses it

  • Hygiene that stops push+pullrequest double-firing
  • Concurrency that cancels superseded runs
  • Dependency caching keyed on lockfiles
  • Matrix discipline

Example prompts

  • “/running-github-actions-efficiently”

Requirements

  • Python 3
  • Docker

What it can do on your machine

Read from SKILL.md and the folder at commit 008333a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • swift

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Running GitHub Actions Efficiently loads about 3.3k tokens when it runs. Until then it costs about 132 tokens; SKILL.md has 1,302 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~132
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteRuns commands with sudoSKILL.md:53
    sudo install -m0755 /tmp/sl/swiftlint-static /usr/local/bin/swiftlint
  • NoteRuns commands with sudoSKILL.md:56
    sudo install -m0755 /tmp/sf/swiftformat_linux /usr/local/bin/swiftformat

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from kajisho5/ffmpeg-skill at commit 008333a, republished under its MIT licence (© kajisho5). 1,302 words, ~3,287 tokens.

Download SKILL.mdSave it as .claude/skills/running-github-actions-efficiently/SKILL.md (or your agent's skills folder).
name
running-github-actions-efficiently
description
Cut GitHub Actions minutes and wall-clock time without losing coverage — the OS billing multiplier (macOS 10x / Windows 2x / Linux 1x), trigger hygiene that stops push+pull_request double-firing, concurrency that cancels superseded runs, dependency caching keyed on lockfiles, matrix discipline, and auditing scheduled crons that bill 24/7. Use when CI is burning included minutes, when runs feel slow, when setting up a new repo's workflows, or when reviewing an existing workflow for waste.

Running GitHub Actions Efficiently

Actions minutes on private repos bill against a monthly included quota; public repos are free. So cost concentrates in private repos, and a handful of workflows usually dominate the bill. This skill is the checklist for finding and fixing that waste. Every fix below preserves what CI actually verifies — none of them trade away coverage.

First, know the one number that dominates everything

Minutes are billed per job, rounded up to the minute, times a runner-OS multiplier:

RunnerMultiplier
Linux (ubuntu-*)1x
Windows (windows-*)2x
macOS (macos-*)10x

A one-minute macOS job costs the same as ten Linux minutes. This single fact reorders every optimization: a repo with a few macOS jobs can outspend a repo with ten times as many Linux jobs. Before anything else, find your macOS jobs and ask of each: does this step genuinely need macOS?

  • Xcode / Apple-platform builds and tests (xcodebuild): yes, macOS is required.
  • Linters and formatters (even Swift ones like SwiftLint/SwiftFormat), pure unit tests with no Apple frameworks, packaging, doc builds: usually no — move them to ubuntu-latest and cut that job's cost ~10x.

Split the must-be-macOS work into its own job and push everything else to Linux. If a single macOS job does both (e.g. runs SwiftLint and an Xcode build), split it: a cheap Linux lint job plus the macOS build job. The tools only parse source, so the Linux job just checks out and runs them — no toolchain build.

SwiftLint and SwiftFormat both ship self-contained prebuilt Linux binaries, so "Swift means macOS" is a myth for the linting half of the pipeline:

yaml
  lint:
    runs-on: ubuntu-latest        # 1x, not 10x
    steps:
      - uses: actions/checkout@v4
      - name: Install SwiftLint & SwiftFormat (Linux)
        run: |
          set -euxo pipefail
          curl -fsSL -o /tmp/sl.zip https://github.com/realm/SwiftLint/releases/download/0.65.0/swiftlint_linux_amd64.zip
          unzip -oq /tmp/sl.zip -d /tmp/sl
          sudo install -m0755 /tmp/sl/swiftlint-static /usr/local/bin/swiftlint
          curl -fsSL -o /tmp/sf.zip https://github.com/nicklockwood/SwiftFormat/releases/download/0.62.1/swiftformat_linux.zip
          unzip -oq /tmp/sf.zip -d /tmp/sf
          sudo install -m0755 /tmp/sf/swiftformat_linux /usr/local/bin/swiftformat
      - run: swiftlint lint
      - run: swiftformat . --lint

Use SwiftLint's swiftlint-static (not the dynamically linked swiftlint, which needs a Swift runtime the bare runner lacks) and SwiftFormat's swiftformat_linux — both are statically linked and run on plain ubuntu-latest. Pin versions in the URL, curl -f to fail on a bad download, and reference the exact binary names rather than a fragile find.

What genuinely can't move. A SwiftPM target only builds on Linux if its code and its dependencies do. Two reliable signals it's macOS-pinned: the package declares platforms: [.macOS(...)] only, or it depends on an Apple-focused library (e.g. SQLite.swift, anything importing AppKit/SwiftUI/CloudKit). Don't gamble a repo's only build job on a Linux move — if swift build there depends on such a package, keep it on macOS. grep -rE 'import (AppKit|SwiftUI| Cocoa|CloudKit|CoreData)' over the target's sources is a fast pre-check.

Trigger hygiene: stop paying for the same commit twice

The most common silent waste is a workflow that runs twice on every change:

yaml
on:
  push:            # ← no branch filter: fires on EVERY push to EVERY branch
  pull_request:    # ← also fires for the PR built from those same commits

When you push a feature branch that has an open PR, the push event and the pull_request event both fire a full run of the same commit. On a 10x macOS runner that doubles the most expensive thing you have.

Fix — scope push to the branches you actually gate on:

yaml
on:
  push:
    branches: [main]   # only post-merge commits to main
  pull_request:        # all pre-merge validation happens here

Now branch work is validated once (by the PR) and main is validated once (post-merge). No commit is ever built twice for the same reason.

Add path filters so unrelated changes don't spin a runner at all:

yaml
on:
  pull_request:
    paths-ignore: ['**.md', 'docs/**', '.github/ISSUE_TEMPLATE/**']

(Note: a required status check gated on paths can block PRs that legitimately change nothing in-scope — prefer paths-ignore for docs, or make the check non-required, rather than paths on a required job.)

Concurrency: kill superseded runs automatically

Without a concurrency block, pushing three commits in quick succession starts three full runs and lets all three finish. You only care about the last one.

yaml
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

This cancels any in-progress run on the same ref when a newer one starts. It is the single highest-leverage line for anyone who pushes iteratively or force-pushes during review. Put it at the top level of every workflow.

One caveat: don't set cancel-in-progress: true on workflows that must run to completion once started — deploys, releases, anything that writes external state. Scope those with a distinct group and leave cancellation off (or queue them).

Cache dependencies — keyed on the lockfile

Re-downloading and re-resolving dependencies on every run is pure waste. Cache the dependency directory, keyed on the lockfile so the cache invalidates exactly when dependencies change, with a restore-keys fallback for partial hits.

Most setup-* actions have caching built in — prefer it over hand-rolled actions/cache where it exists:

yaml
# Python (uv)
- uses: astral-sh/setup-uv@v6
  with:
    enable-cache: true
    cache-dependency-glob: "uv.lock"

# Python (pip)
- uses: actions/setup-python@v5
  with: { python-version: '3.12', cache: 'pip' }

# Node
- uses: actions/setup-node@v4
  with: { node-version: '20', cache: 'npm' }

# Go
- uses: actions/setup-go@v5
  with: { go-version: '1.22', cache: true }   # caches modules + build cache

For ecosystems without built-in caching, use actions/cache directly:

yaml
# Rust (cargo registry + build)
- uses: actions/cache@v4
  with:
    path: |
      ~/.cargo/registry
      ~/.cargo/git
      target
    key: ${{ runner.os }}-cargo-${{ hashFiles('Cargo.lock') }}
    restore-keys: ${{ runner.os }}-cargo-

# SwiftPM (build + package repository cache)
- uses: actions/cache@v4
  with:
    path: |
      .build
      ~/Library/Caches/org.swift.swiftpm
    key: ${{ runner.os }}-spm-${{ hashFiles('Package.resolved') }}
    restore-keys: ${{ runner.os }}-spm-

# Docker layers (buildx / build-push-action)
- uses: docker/build-push-action@v6
  with:
    cache-from: type=gha
    cache-to: type=gha,mode=max

Cache the dependency graph (downloaded/resolved packages), not fragile machine-specific build state. Caching compiler-derived artifacts with absolute paths (e.g. all of Xcode's DerivedData) can produce flaky or wrong builds — the dependency cache is the safe, high-ROI target.

Two speed wins on macOS runners specifically:

yaml
# Skip the multi-minute `brew update` when you just need a couple of tools
- run: brew install swiftlint swiftformat
  env:
    HOMEBREW_NO_AUTO_UPDATE: "1"
    HOMEBREW_NO_INSTALL_CLEANUP: "1"
Show full SKILL.md (555 more words)Show less

Matrix discipline

A matrix multiplies job count: os: [ubuntu, macos, windows] × python: [3.10, 3.11, 3.12, 3.13] is 12 jobs per run, and the macOS/Windows cells carry the 10x/2x multipliers. Test broadly, but deliberately:

  • Run the full matrix on main / nightly, and a minimal matrix (one OS, min+max version) on PRs. if: github.event_name == 'push' gates the expensive cells.
  • fail-fast: true (the default) stops the whole matrix on the first failure — keep it unless you specifically need every cell's result.
  • Test the versions you actually support. Dropping an EOL runtime is free minutes.
  • Prefer Linux cells; add macOS/Windows cells only for genuinely OS-specific code.

Scheduled workflows bill around the clock

A schedule: cron runs whether or not anyone touched the repo — so it bills continuously, forever, and is the easiest thing to forget. Audit every one:

yaml
on:
  schedule:
    - cron: '*/15 * * * *'   # every 15 min = ~2,880 runs/month. Almost never worth it on Actions.
  • Uptime / health checks do not belong on Actions — a */5 or */15 cron is a runaway meter. Use a purpose-built external monitor (many have free tiers).
  • Daily rebuilds of static content that hasn't changed (e.g. redeploying a site on a timer) are wasted runs — deploy on push instead, and keep a workflow_dispatch: for manual rebuilds.
  • DST/timezone hacks that register two crons and gate one out still pay the runner spin-up (checkout + toolchain setup) for the run that no-ops. Gate before the setup steps, or compute the schedule so only one fires.
  • Genuinely periodic jobs (a real nightly build) are fine — just right-size the frequency to how often the input actually changes.

Find them all across a repo:

bash
grep -rl "schedule:" .github/workflows/

Failures and long runs still bill

  • A job that fails at minute 9 of 10 bills all 9. Order steps cheap-to-expensive and lint/typecheck before the long build, so bad commits die fast.
  • Add a timeout-minutes: to every job so a hung step can't burn the max 6-hour runner allotment.
  • Flaky tests that auto-retry the whole workflow multiply cost — fix the flake rather than papering over it with reruns.

Measure before and after

Don't guess which workflow is expensive — measure:

  • Repo/org billing: Settings → Billing → this month's Actions minutes, and the per-repo breakdown.
  • Per-run breakdown (API): /repos/{owner}/{repo}/actions/runs/{id}/timing returns billable milliseconds split by OS multiplier.
  • What runs most (API): /repos/{owner}/{repo}/actions/runs?created=>=YYYY-MM-DD — count runs per workflow and note the triggering event. A workflow with far more runs than you have merges is double-firing or over-scheduled.

Fix the top one or two offenders first; the distribution is almost always long-tailed.

Checklist

Audit:
- [ ] Identified every macOS/Windows job (10x/2x) — each justified, or moved to Linux
- [ ] Listed every schedule: cron and confirmed each is worth running 24/7
- [ ] Compared runs-per-workflow to merge frequency (excess = double-fire/over-schedule)

Triggers:
- [ ] push scoped to gated branches (e.g. [main]); pull_request handles pre-merge
- [ ] No workflow builds the same commit on both push and pull_request
- [ ] paths-ignore excludes docs/markdown-only changes

Concurrency:
- [ ] concurrency + cancel-in-progress on CI workflows
- [ ] Deploy/release workflows use a distinct group and do NOT cancel mid-run

Caching & speed:
- [ ] Dependencies cached, keyed on the lockfile, with restore-keys
- [ ] setup-* built-in caching used where available
- [ ] Cheap checks (lint/typecheck) run before the long build; jobs have timeout-minutes
- [ ] macOS brew steps skip auto-update (HOMEBREW_NO_AUTO_UPDATE)

Matrix:
- [ ] Full matrix on main/nightly; reduced matrix on PRs
- [ ] Only supported runtime versions; only necessary OSes

Note for this repository (ffmpeg-skill)

.github/workflows/ci.yml already gets the trigger-hygiene rule right — push: branches: [main] plus an unscoped pull_request: means no commit is built twice for the same reason. It has no Python dependency install step to cache (stdlib only, nothing to resolve), so the caching section mostly doesn't apply here.

Two things this skill's checklist would flag as genuinely missing, verified by reading the file directly (not assumed): no concurrency: block — pushing several commits to an open PR in quick succession runs the full 3-OS matrix every time with nothing cancelling the superseded ones, and macOS is the 10x runner in that matrix — and no timeout-minutes: on the job, so a hung ffmpeg/choco/brew step would run to the platform's multi-hour default before failing instead of failing fast. Neither has been added as part of adding this skill; they're noted here as a real, verified finding for whoever next touches the workflow file to decide on.

Source: wdm0006/python-skills (MIT).

© kajisho5, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/github-actions of kajisho5/ffmpeg-skill.

Open the folder on GitHubat commit 008333a

Compare with similar skills

Running GitHub Actions Efficiently next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Running GitHub Actions Efficiently compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Running GitHub Actions Efficiently this skillkajisho5/ffmpeg-skill1.9k—~3.3kAutomated safety check: NotesMIT
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Releasing Blancbnfy/blanc105—~2.9kAutomated safety check: NotesMIT
CI CD Setuprshankras/claude-code-apple-skills781—~1.5kAutomated safety check: NotesMIT
Releaseobjeck/objeck-lang165—~10kAutomated safety check: WarnCustom licence
Godot Export Buildsthedivergentai/GD-Agentic-Skills803—~3kAutomated safety check: PassLGPL-3.0

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Questions about Running GitHub Actions Efficiently

What does Running GitHub Actions Efficiently do?

Cut GitHub Actions minutes and wall-clock time without losing coverage — the OS billing multiplier (macOS 10x / Windows 2x / Linux 1x), trigger hygiene that stops push+pullrequest double-firing…. Running GitHub Actions Efficiently is an agent skill from kajisho5/ffmpeg-skill. Cut GitHub Actions minutes and wall-clock time without losing coverage — the OS billing multiplier (macOS 10x / Windows 2x / Linux 1x), trigger hygiene that stops push+pullrequest double-firing, concurrency that cancels superseded runs, dependency caching keyed on lockfiles, matrix discipline, and auditing scheduled crons that bill 24/7.

When should I use Running GitHub Actions Efficiently?

Running GitHub Actions Efficiently fits situations like: hygiene that stops push+pullrequest double-firing; concurrency that cancels superseded runs; dependency caching keyed on lockfiles; matrix discipline.

How do I install Running GitHub Actions Efficiently in Claude Code?

Run `npx skills add kajisho5/ffmpeg-skill --skill running-github-actions-efficiently -a claude-code`. Or copy the skill folder (.claude/skills/github-actions in kajisho5/ffmpeg-skill) into .claude/skills/running-github-actions-efficiently in your project. Claude Code loads it when a task matches its description.

How do I install Running GitHub Actions Efficiently in Codex?

Run `npx skills add kajisho5/ffmpeg-skill --skill running-github-actions-efficiently -a codex`. Or copy the skill folder (.claude/skills/github-actions in kajisho5/ffmpeg-skill) into .agents/skills/running-github-actions-efficiently in your project. Codex loads it when a task matches its description.

Can I use Running GitHub Actions Efficiently in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kajisho5/ffmpeg-skill --skill running-github-actions-efficiently -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/running-github-actions-efficiently, .gemini/skills/running-github-actions-efficiently, .github/skills/running-github-actions-efficiently and .opencode/skills/running-github-actions-efficiently in your project.

What does Running GitHub Actions Efficiently need to run?

Going by SKILL.md and its folder, Running GitHub Actions Efficiently needs the command-line tools its instructions call (curl and swift). Our summary lists: Python 3; Docker.

Does Running GitHub Actions Efficiently access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Running GitHub Actions Efficiently safe to install?

Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Running GitHub Actions Efficiently use?

Running GitHub Actions Efficiently is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Running GitHub Actions Efficiently use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Running GitHub Actions Efficiently?

Skills that share tags, products or a category with Running GitHub Actions Efficiently: CI Adhoc Test (nubjs/nub, 4.4k stars), Releasing Blanc (bnfy/blanc, 105 stars), CI CD Setup (rshankras/claude-code-apple-skills, 781 stars) and Release (objeck/objeck-lang, 165 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Running GitHub Actions Efficiently?

kajisho5 (a GitHub user) maintains it in kajisho5/ffmpeg-skill, which has 1,879 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 5, 2026.

Source: kajisho5/ffmpeg-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.