Game Boy ROM Playthrough Driver
trekawek/coffee-gb
Plays an authorized Game Boy or Game Boy Color ROM in one persistent headless Coffee GB session, inspecting frames and keeping an action trace for replay or tests.
Build, debug, balance, or test combat enemy AI for playable action games.
Install Tune Enemy AI
$ npx skills add nirholas/three.ws --skill tune-enemy-ai -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nirholas/three.ws tune-enemy-ai --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .claude/skills && cp -r skills-src/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai .claude/skills/tune-enemy-ai && rm -rf skills-srcUse ~/.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/
Install the "tune-enemy-ai" agent skill from https://github.com/nirholas/three.ws/tree/main/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai into .claude/skills/tune-enemy-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tune-enemy-ai", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/nirholas/three.ws/tree/main/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-aiType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add nirholas/three.ws --skill tune-enemy-ai -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nirholas/three.ws tune-enemy-ai --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .agents/skills && cp -r skills-src/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai .agents/skills/tune-enemy-ai && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tune-enemy-ai" agent skill from https://github.com/nirholas/three.ws/tree/main/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai into .agents/skills/tune-enemy-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tune-enemy-ai", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nirholas/three.ws --skill tune-enemy-ai -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nirholas/three.ws tune-enemy-ai --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai .cursor/skills/tune-enemy-ai && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tune-enemy-ai" agent skill from https://github.com/nirholas/three.ws/tree/main/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai into .cursor/skills/tune-enemy-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tune-enemy-ai", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/nirholas/three.ws.git --path third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add nirholas/three.ws --skill tune-enemy-ai -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nirholas/three.ws tune-enemy-ai --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai .gemini/skills/tune-enemy-ai && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tune-enemy-ai" agent skill from https://github.com/nirholas/three.ws/tree/main/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai into .gemini/skills/tune-enemy-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tune-enemy-ai", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install nirholas/three.ws tune-enemy-aiInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add nirholas/three.ws --skill tune-enemy-ai -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .github/skills && cp -r skills-src/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai .github/skills/tune-enemy-ai && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tune-enemy-ai" agent skill from https://github.com/nirholas/three.ws/tree/main/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai into .github/skills/tune-enemy-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tune-enemy-ai", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nirholas/three.ws --skill tune-enemy-ai -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nirholas/three.ws tune-enemy-ai --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai .opencode/skills/tune-enemy-ai && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tune-enemy-ai" agent skill from https://github.com/nirholas/three.ws/tree/main/third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai into .opencode/skills/tune-enemy-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tune-enemy-ai", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
tune-enemy-ai- GitHub stars
- 227
- Used in
- 1 other repo
- Token cost
- ~425 tokens
- SKILL.md length
- 190 words
- Files
- 2
- Skills in repo
- 92
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Build, debug, balance, or test combat enemy AI for playable action games.
- Works in 3 steps: Gather observable inputs: distance, line… → Select one intention from constrained… → Move and animate toward that intent…
- Target selection
- SKILL.md covers Model decisions explicitly, Separate perception, intent,…, Preserve fair combat and Test the decision surface
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Tune Enemy AI is an agent skill from nirholas/three.ws. Build, debug, balance, or test combat enemy AI for playable action games. Use for aggro, target selection, navigation, spacing, attack choices, telegraphs, retreats, boss behavior, behavior-state machines, and deterministic AI regression tests.
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Game Development, covering Game development. The repository describes itself as: Open-source platform for 3D AI agents. Turn text or a photo into a rigged, animated GLB avatar, give it an LLM brain, memory and a wallet, and embed it anywhere with one web… The licence is Apache-2.0.
When your agent uses it
- Target selection
- Behavior-state machines
- Deterministic AI regression tests
Example prompts
- “/tune-enemy-ai”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Gather observable inputs: distance, line of sight, target state, occupancy, threat, health, and timers.
- Select one intention from constrained legal actions.
- Move and animate toward that intent without rewriting the decision mid-action.
What it can do on your machine
Read from SKILL.md and the folder at commit ddf6e49. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Tune Enemy AI loads about 425 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 190 words of instructions outside code blocks.
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 nirholas/three.ws at commit ddf6e49, republished under its Apache-2.0 licence (© nirholas). 190 words, ~425 tokens.
Download SKILL.mdSave it as
.claude/skills/tune-enemy-ai/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- tune-enemy-ai
- description
- Build, debug, balance, or test combat enemy AI for playable action games. Use for aggro, target selection, navigation, spacing, attack choices, telegraphs, retreats, boss behavior, behavior-state machines, and deterministic AI regression tests.
Tune Enemy AI
Make enemy choices legible, bounded, and reproducible.
Model decisions explicitly
Use a small state machine or utility layer with named states such as idle, investigate, pursue, reposition, windup, attack, recover, stagger, retreat, and defeated. State transitions must state their prerequisites, exit conditions, minimum dwell time, and cooldown effects.
Separate perception, intent, and motion
- Gather observable inputs: distance, line of sight, target state, occupancy, threat, health, and timers.
- Select one intention from constrained legal actions.
- Move and animate toward that intent without rewriting the decision mid-action.
Use authoritative collision and navigation results for movement success. Do not derive them from rendered pose or assumed path completion.
Preserve fair combat
Telegraph attacks before their active window. Prevent instant turn-and-hit behavior, perpetual chase, clipped attacks through blockers, and repeated recovery spam. Add spacing and commitment so the player can read and answer each enemy archetype.
Test the decision surface
Create deterministic fixtures for target acquisition, target loss, obstruction, path failure, close-range pressure, multiple enemies, retaliation, interrupt, stagger, boss phase, and reset. Assert transitions and outcomes, not only final positions. Run a real browser encounter after automated tests.
© nirholas, Apache-2.0. 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 1 other file in third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai of nirholas/three.ws.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit ddf6e49
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in nirholas/three.ws, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Tune Enemy AI 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tune Enemy AI this skillnirholas/three.ws | 227 | 1 repos | ~425 | Automated safety check: Pass | Apache-2.0 | |
| Game Boy ROM Playthrough Drivertrekawek/coffee-gb | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| KenshiCoop Save Orchestrationnhoral/KenshiCoop | 283 | — | ~2.4k | Automated safety check: Pass | AGPL-3.0 | |
| ScreenshotRandallLiuXin/GodotMaker | 549 | 1 repos | ~1.5k | Automated safety check: Pass | Custom licence | |
| Evidence-Based Game QAzenstory-ai/novel-to-game | 834 | — | ~389 | Automated safety check: Pass | MIT | |
| Godot Testingjame581/GodotPrompter | 795 | — | ~2.4k | Automated safety check: Pass | MIT |
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Screenshot
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Evidence-Based Game QA
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Categories
Questions about Tune Enemy AI
What does Tune Enemy AI do?
Build, debug, balance, or test combat enemy AI for playable action games. ws. Build, debug, balance, or test combat enemy AI for playable action games.
When should I use Tune Enemy AI?
Tune Enemy AI fits situations like: target selection; behavior-state machines; deterministic AI regression tests.
How do I install Tune Enemy AI in Claude Code?
Run `npx skills add nirholas/three.ws --skill tune-enemy-ai -a claude-code`. Or copy the skill folder (third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai in nirholas/three.ws) into .claude/skills/tune-enemy-ai in your project. Claude Code loads it when a task matches its description.
How do I install Tune Enemy AI in Codex?
Run `npx skills add nirholas/three.ws --skill tune-enemy-ai -a codex`. Or copy the skill folder (third_party/designcode-agent-skills/agent-skills/game-development/tune-enemy-ai in nirholas/three.ws) into .agents/skills/tune-enemy-ai in your project. Codex loads it when a task matches its description.
Can I use Tune Enemy AI 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 nirholas/three.ws --skill tune-enemy-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tune-enemy-ai, .gemini/skills/tune-enemy-ai, .github/skills/tune-enemy-ai and .opencode/skills/tune-enemy-ai in your project.
What does Tune Enemy AI need to run?
SKILL.md names no scripts, command-line tools or credentials: Tune Enemy AI is instructions for the agent only.
Does Tune Enemy AI access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Tune Enemy AI 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 Tune Enemy AI use?
Tune Enemy AI is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Tune Enemy AI use?
About 425 tokens (SKILL.md is roughly 1.7k 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 Tune Enemy AI?
Skills that share tags, products or a category with Tune Enemy AI: Game Boy ROM Playthrough Driver (trekawek/coffee-gb, 1.2k stars), KenshiCoop Save Orchestration (nhoral/KenshiCoop, 283 stars), Screenshot (RandallLiuXin/GodotMaker, 549 stars) and Evidence-Based Game QA (zenstory-ai/novel-to-game, 834 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tune Enemy AI?
nirholas (a GitHub user) maintains it in nirholas/three.ws, which has 227 GitHub stars. The repository holds 92 skills in this directory. The repository was last updated on October 8, 2026.
Source: nirholas/three.ws on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.