github-codespaces-efficiency
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.
- License 许可
- MIT
- 最近更新
- 2026-11-13
- Stars
- ★ 4.1w
- Forks
- 5.3k
01 前言 Front Matter
- 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.
02 资源文件 3
- 参考文档agents/openai.yaml166 B
- 参考文档references/codespaces.md2.1 KB
- 参考文档references/review-rubric.md467 B
03 SKILL.md 正文
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
references/codespaces.md— devcontainer, machine-sizing, prebuild, idle-timeout guidance, and reporting.references/review-rubric.md— load only for review passes.
Core Workflow
1. Measure first
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:
- Does not remove tools the team uses every day — drop any fix that strips required development tools or extensions.
- Does not assume smaller is always better — balance machine cost against developer experience and throughput.
- Does not turn the devcontainer into a production image — drop any fix that adds production-only dependencies unless the team explicitly requires it.
- Incremental changes preferred — a greenfield baseline is appropriate only when no
.devcontainer/exists; flag (do not drop) changes that restructure an existing config. - 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.
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.
- Trim devcontainer — remove features, packages, or extensions not needed for everyday development work; target image <2 GB and fewer than 10 features
- Right-size machine type — match to observed usage patterns; if data is unavailable, state assumptions explicitly
- 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 - Tune idle timeout — 30 min default; 15 min if most sessions end before 30 min; 60 min if most sessions run longer
- Remove unused extensions or port-forwarding rules
- 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
references/codespaces.mdreferences/review-rubric.md— load when reviewing completed efficiency work
04 同仓库更多 Skills
supabase-rls-policies
Write, review, and test Supabase Row Level Security (RLS) policies so that one user cannot read or change another user's rows. Use when creating or changing tables, policies, views, or security definer functions in a Supabase project, when reviewing a migration that touches RLS, or when asked to prove user isolation with pgTAP tests that sign in as two users.
skill-distribution-audit
Audit a skill collection before release or investigate installer omissions, archived/template leakage, duplicate identities, and manifest drift. Reconcile the intended public source set, distribution manifest, and actual discovery output for a specified consumer version. Includes a deterministic set-comparison helper.
logicapps-custom-code-net10-migration
Migrate Azure Logic Apps Standard local-function custom-code projects from .NET 8 to .NET 10. Use for legacy Logic Apps custom-code workspace upgrades, project/package configuration, custom-worker settings, publication, and integrated VS Code debugging. Not for ordinary .NET applications, standalone Azure Functions, Consumption workflows, or cloud deployment.
winmd-api-search
Find and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI/ML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).
resemble-detect
Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI
quality-playbook
Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.