package-managers

Use when installing, managing, or automating system-level software with OS package managers. Covers Chocolatey, winget, Homebrew, apt, dnf, pacman, snap, Flatpak, and Scoop — the non-language-specific package managers for installing developer tools and system dependencies. USE FOR: Chocolatey, choco, winget, Homebrew, brew, apt, apt-get, dnf, yum, pacman, snap, Flatpak, Scoop, system package management, developer environment setup, automated provisioning DO NOT USE FOR: language-specific package managers (npm, pip, cargo, NuGet, Maven — use language-specific skills), container image management (use docker), application deployment

インストールへ移動

リポジトリ: Tyler-R-Kendrick/agent-skills
ソースの最終更新活動: 2026年2月11日 05:14
検出された SKILL.md の言語: 英語
スター: 10
フォーク: 4

インストール方法

デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。

Codex または Claude でインストールこの Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。

直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。

npx skills add https://github.com/Tyler-R-Kendrick/agent-skills --skill package-managers

コマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。

ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。

ソースファイルを確認

インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。

ファイルエクスプローラー

15 ファイル

SKILL.md

ソースの指示 · 読み取り専用プレビュー

検索に戻るインストールに戻る

improve

Use when producing agent/LLM evals, synthetic simulation data, or self-improvement pipelines for prompts, code, skills, agents, harnesses, and workflows. Covers AgentEvals/AgentV, Agent Skills evals, ASSERT, GEPA, Trace, VISTA, Agent Lightning, SkillOpt, Simula-style data design, progressive disclosure, deterministic workspaces, and release evidence. USE FOR: eval creation, EVAL.yaml, AgentEvals, AgentV, evals.json, ASSERT, judge-traces, behavior taxonomy, judges, graders, rubrics, synthetic data, simulation data, Simula, QDC, source-grounded generation, prompt optimization, agent improvement, skill improvement, harness hardening, progressive disclosure, deterministic workflows, GEPA, Trace, VISTA, Agent Lightning, SkillOpt DO NOT USE FOR: ordinary unit/integration tests without AI quality criteria (use testing), refactoring without eval or trace feedback (use refactor), generic Agent Skills packaging without eval or improvement work (use agent-skills)

2026-06-09

Use when working with AI agent protocols, standards, interoperability specifications, evaluation contracts, synthetic simulation data, improvement pipelines, and agent steering workflows. Covers MCP, A2A, ACP, Agent Skills, AGENTS.md, ADL, Improve, x402, AP2, MCP Apps, cagent, and learn. USE FOR: agent protocol selection, comparing MCP vs A2A vs ACP, understanding agent standards ecosystem, choosing payment protocols, choosing eval standards, choosing improvement techniques, choosing synthetic data simulation techniques, steering from user feedback DO NOT USE FOR: specific protocol, eval, or improvement implementation details (use the sub-skills: mcp, a2a, acp, improve, learn, x402, etc.)

2026-06-09

learn

Use when a user corrects, rejects, edits, or redirects an LLM/agent response and the correction should become a reusable reasoning strategy. Converts feedback into generalized learnings for ~/.agents/STEERING.md with linked RDF/Turtle evidence. USE FOR: user corrections, preference feedback, rejected agent behavior, reasoning strategy updates, steering file maintenance DO NOT USE FOR: storing task facts (use memory), ordinary skill authoring (use agent-skills), project instruction files unrelated to feedback (use agents-md)

2026-06-08

このリポジトリのすべてを見る

name	package-managers
description	Use when installing, managing, or automating system-level software with OS package managers. Covers Chocolatey, winget, Homebrew, apt, dnf, pacman, snap, Flatpak, and Scoop — the non-language-specific package managers for installing developer tools and system dependencies. USE FOR: Chocolatey, choco, winget, Homebrew, brew, apt, apt-get, dnf, yum, pacman, snap, Flatpak, Scoop, system package management, developer environment setup, automated provisioning DO NOT USE FOR: language-specific package managers (npm, pip, cargo, NuGet, Maven — use language-specific skills), container image management (use docker), application deployment
license	MIT
metadata	{"displayName":"Package Managers","author":"Tyler-R-Kendrick"}
compatibility	claude, copilot, cursor
references	[{"title":"Homebrew Documentation","url":"https://docs.brew.sh"},{"title":"Chocolatey Documentation","url":"https://docs.chocolatey.org"},{"title":"winget Documentation (Microsoft)","url":"https://learn.microsoft.com/en-us/windows/package-manager/winget/"}]

Manager	Platform	Type	Package Count (approx)	Key Strength
Chocolatey	Windows	Community + Commercial	10,000+	Windows ecosystem standard
winget	Windows 10/11	Microsoft-maintained	5,000+	Built into Windows
Scoop	Windows	Community	3,000+	Portable installs, no admin needed
Homebrew	macOS + Linux	Community	8,000+ formulae	macOS standard
apt	Debian/Ubuntu	Official	60,000+	Largest Linux ecosystem
dnf	Fedora/RHEL	Official	50,000+	RPM ecosystem
pacman	Arch	Official	13,000+	Bleeding-edge packages
snap	Ubuntu/cross-Linux	Canonical	7,000+	Sandboxed, auto-updating apps
Flatpak	Cross-Linux	freedesktop.org	2,000+	Sandboxed desktop apps

Manager	Export Command	Import Command
Chocolatey	(use packages.config manually)	`choco install packages.config`
winget	`winget export -o pkgs.json`	`winget import -i pkgs.json`
Homebrew	`brew bundle dump`	`brew bundle install`
apt	`dpkg --get-selections`	`dpkg --set-selections && apt dselect-upgrade`

package-managers

インストール方法

ソースファイルを確認