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Official agent skill

GitHub Codespaces Efficiency

by github in github/awesome-copilot

Audit and improve GitHub Codespaces efficiency. An agent skill from github/awesome-copilot.

OfficialMITAuto-check passed

Install GitHub Codespaces Efficiency

skills CLI
$ npx skills add github/awesome-copilot --skill github-codespaces-efficiency -a claude-code

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

GitHub CLI
$ gh skill install github/awesome-copilot github-codespaces-efficiency --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/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/github-codespaces-efficiency .claude/skills/github-codespaces-efficiency && 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
github-codespaces-efficiency
GitHub stars
40k
Token cost
~1.2k tokens
SKILL.md length
561 words
Files
3 (incl. references)
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Audit and improve GitHub Codespaces efficiency. An agent skill from github/awesome-copilot.

  • Works in 4 steps: Measure first → Apply guardrails → Select the top 3 fixes → …
  • A user wants faster Codespaces startup
  • SKILL.md covers Use This Skill When, Load Only What You Need, Core Workflow and Required Output, plus 1 more section
  • Calls gh

What it does

GitHub Codespaces Efficiency is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Audit and improve GitHub Codespaces efficiency. Use this skill when a user wants faster Codespaces startup, lower Codespaces spend, slim devcontainers, right-size machines, tune idle timeout, or scope prebuilds to branches with sustained usage.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/codespaces.md` and `references/review-rubric.md`).

It works with GitHub. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • A user wants faster Codespaces startup
  • Lower Codespaces spend
  • Slim devcontainers
  • Right-size machines

Example prompts

  • “/github-codespaces-efficiency”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Measure first
  2. Apply guardrails
  3. Select the top 3 fixes
  4. Verify

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. 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:

    • gh

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

  • Network

    No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.

    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

GitHub Codespaces Efficiency loads about 1.2k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 561 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.8k

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 passed

The automated check found no risky patterns in SKILL.md.

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 github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 561 words, ~1,166 tokens.

Download SKILL.mdSave it as .claude/skills/github-codespaces-efficiency/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
github-codespaces-efficiency
description
Audit and improve GitHub Codespaces efficiency. Use this skill when a user wants faster Codespaces startup, lower Codespaces spend, slim devcontainers, right-size machines, tune idle timeout, or scope prebuilds to branches with sustained usage.

GitHub Codespaces Efficiency

Use this skill as a lean entrypoint for GitHub Codespaces efficiency work. Inspect the repo, identify waste, and load only needed references.

If no .devcontainer/ exists yet, load references/codespaces.md and define a baseline before proceeding with the steps below.

Use This Skill When

  • The user wants faster Codespaces startup or lower Codespaces spend.
  • The repo has a .devcontainer/ or explicit Codespaces configuration questions.
  • The user asks for devcontainer optimization, machine sizing, prebuild strategy, or idle-timeout guidance.
  • The user is setting up Codespaces for the first time or needs help creating a new .devcontainer/ from scratch.

Load Only What You Need

Core Workflow

1. Measure first
bash
find .devcontainer -maxdepth 2 -type f
gh codespace list
repo=$(gh repo view --json nameWithOwner --jq .nameWithOwner)
gh api "/repos/$repo/codespaces/machines"

If gh auth fails or the user lacks repo admin scope, proceed with static analysis of .devcontainer/ files; mark machine-type and prebuild recommendations as unverified.

Look for: devcontainer image >2 GB or more than 10 features, machine type larger than usage data supports, missing devcontainer-lock.json (recommend adding — many repos predate lock-file support), prebuilds scoped too broadly, and idle timeout mismatched to usage patterns.

2. Apply guardrails

Check each proposed fix against these rules before recommending it:

  1. Does not remove tools the team uses every day — drop any fix that strips required development tools or extensions.
  2. Does not assume smaller is always better — balance machine cost against developer experience and throughput.
  3. Does not turn the devcontainer into a production image — drop any fix that adds production-only dependencies unless the team explicitly requires it.
  4. Incremental changes preferred — a greenfield baseline is appropriate only when no .devcontainer/ exists; flag (do not drop) changes that restructure an existing config.
  5. Repo changes stay separate from org settings — split any fix that mixes repo-editable files with org-level or user-level Codespaces settings into two distinct recommendations.
Show full SKILL.md (255 more words)Show less
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 monthly cost savings (USD). Select all candidates that meet both criteria, up to a maximum of 3.

  1. Trim devcontainer — remove features, packages, or extensions not needed for everyday development work; target image <2 GB and fewer than 10 features
  2. Right-size machine type — match to observed usage patterns; if data is unavailable, state assumptions explicitly
  3. Scope prebuilds — enable for the default branch, release/* branches active in the last 14 days, and branches with more than 5 Codespaces per week; disable for all others
  4. Tune idle timeout — 30 min default; 15 min if most sessions end before 30 min; 60 min if most sessions run longer
  5. Remove unused extensions or port-forwarding rules
  6. Reduce devcontainer image size and improve layer caching
4. Verify
  • Start a test Codespace to confirm devcontainer changes build and start as expected.
  • Validate machine sizing against observed usage when telemetry is available; otherwise mark as unverified.
  • Treat unexpected build or startup failures as real bugs even when the configuration looks correct.

Required Output

Waste sources: [top cost or startup-time drivers]

Proposed fixes: [top 3 changes supported by audit evidence and passing guardrails]

Validation: [proven live / static-only / remaining risk]

Impact:

  • Startup time: [expected] / [measured if available]
  • Monthly spend: [expected] / [measured if available]
  • Resource utilization: [expected] / [measured if available]

References

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

Files

SKILL.md and 2 other files (references) in skills/github-codespaces-efficiency of github/awesome-copilot.

  • SKILL.md
  • references/codespaces.md
  • references/review-rubric.md

Open the folder on GitHubat commit 727ff2e

Compare with similar skills

GitHub Codespaces Efficiency 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.

GitHub Codespaces Efficiency compared with similar skills
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GitHub Codespaces Efficiency this skillgithub/awesome-copilot40k—~1.2kAutomated safety check: PassMIT
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Diagnosing Superpowers Sessionsobra/superpowers296k3 repos~1.7kAutomated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0

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Works with

Questions about GitHub Codespaces Efficiency

What does GitHub Codespaces Efficiency do?

Audit and improve GitHub Codespaces efficiency. An agent skill from github/awesome-copilot. GitHub Codespaces Efficiency is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Audit and improve GitHub Codespaces efficiency.

When should I use GitHub Codespaces Efficiency?

GitHub Codespaces Efficiency fits situations like: A user wants faster Codespaces startup; lower Codespaces spend; slim devcontainers; right-size machines.

How do I install GitHub Codespaces Efficiency in Claude Code?

Run `npx skills add github/awesome-copilot --skill github-codespaces-efficiency -a claude-code`. Or copy the skill folder (skills/github-codespaces-efficiency in github/awesome-copilot) into .claude/skills/github-codespaces-efficiency in your project. Claude Code loads it when a task matches its description.

How do I install GitHub Codespaces Efficiency in Codex?

Run `npx skills add github/awesome-copilot --skill github-codespaces-efficiency -a codex`. Or copy the skill folder (skills/github-codespaces-efficiency in github/awesome-copilot) into .agents/skills/github-codespaces-efficiency in your project. Codex loads it when a task matches its description.

Can I use GitHub Codespaces Efficiency 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 github/awesome-copilot --skill github-codespaces-efficiency -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/github-codespaces-efficiency, .gemini/skills/github-codespaces-efficiency, .github/skills/github-codespaces-efficiency and .opencode/skills/github-codespaces-efficiency in your project.

What does GitHub Codespaces Efficiency need to run?

Going by SKILL.md and its folder, GitHub Codespaces Efficiency needs the command-line tools its instructions call (gh).

Does GitHub Codespaces Efficiency access the network?

SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is GitHub Codespaces Efficiency safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does GitHub Codespaces Efficiency use?

GitHub Codespaces Efficiency 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 GitHub Codespaces Efficiency use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 648 tokens, read only when the agent opens those files.

What are the alternatives to GitHub Codespaces Efficiency?

Skills that share tags, products or a category with GitHub Codespaces Efficiency: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Greploop (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains GitHub Codespaces Efficiency?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

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