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Learning In Games

Category: General  ·  Sub-category: education-learning  ·  Last updated:
ai:agent
Learning dynamics in strategic settings covering fictitious play, no-regret learning, regret matching, multi-agent reinforcement learning, self-play, and convergence results. Reference when analyzing how agents adapt strategies over time, whether learning converges to equilibrium, or how AI systems learn to play games. Use when the question involves dynamic adaptation, not static analysis.
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From the source SKILL.md

How do agents learn to play games? Classical game theory assumes players arrive at equilibrium. Learning theory asks how — through what process of trial, error, and adaptation do players (human, algorithmic, or artificial) converge to stable strategies? This question connects classical game theory to multi-agent AI, online learning, and the foundations of intelligence. Grounded primarily in Fudenberg & Levine (1998), Cesa-Bianchi & Lugosi (2006), and the modern MARL literature.

What this skill does

Learning In Games is a community-contributed Claude Code skill in the education-learning sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/learning-in-games/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when the question involves dynamic adaptation, not static analysis.

Who uses this skill

The Learning In Games Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 174,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/learning-in-games
curl -L https://claudskills.com/skills/learning-in-games/SKILL.md \
  -o ~/.claude/skills/learning-in-games/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/learning-in-games/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/learning-in-games/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\learning-in-games\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

See pricing → Download desktop app

Frequently asked questions

How do I install the Learning In Games Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/learning-in-games/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Learning In Games skill do?
Learning dynamics in strategic settings covering fictitious play, no-regret learning, regret matching, multi-agent reinforcement learning, self-play, and convergence results. Reference when analyzing how agents adapt strategies over time, whether learning converges to equilibrium, or how AI systems learn to play games. Use when the question involves dynamic adaptation, not static analysis.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Learning In Games skill?
Use Learning In Games when your Claude Code task falls under the General category — specifically in the education learning area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Learning In Games" or describe the task and let Claude pick). Browse related skills at /category/general/.
What is a Claude Code skill and how does the Learning In Games skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Learning In Games is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
npbuilds. (2026). Learning In Games [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/learning-in-games/
BibTeX
@misc{learning-in-games-2026,
  author    = {npbuilds},
  title     = {Learning In Games [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/learning-in-games/}
}

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