genre-pack-turnbased

genre-pack-turnbased is a skill for Claude Code from Simone-Tarantino/godot-superpowers. It costs 47 tokens per session (2,212 once invoked), scanned A, original, MIT.

A set of building patterns for games where players and enemies act in turns, including tactics games, card games, roguelikes, and grid puzzles. It uses ordered turns, queued actions, repeatable random results, and action points.

In plain words
What is it for?
Use it to create a turn manager, order actors by initiative, queue and resolve actions, manage action points, and control random results with a seeded random-number generator.
Why use it?
It makes game outcomes predictable from the same inputs, which helps with replays and networked multiplayer code.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the godot-superpowers plugin — 33 skills, 15 agents, 4 hooks, 5 MCP servers shipped together

Good fit Use it to create a turn manager, order actors by initiative, queue and resolve actions, manage action points, and control random results with a seeded random-number generator.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/simone-tarantino/godot-superpowers/genre-pack-turnbased
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Simone-Tarantino/godot-superpowers --skill genre-pack-turnbased
Clone the repo
git clone --depth 1 https://github.com/Simone-Tarantino/godot-superpowers

Made for: Claude Code.

Or install godot-superpowers, the plugin that ships this one along with the rest of its 33 skills, 15 agents, 4 hooks, 5 MCP servers.

Wrote this? Show the measurements

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README.md
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Your own site
<a href="https://agentmods.dev/skills/simone-tarantino/godot-superpowers/genre-pack-turnbased"><img src="https://agentmods.dev/badge/skills/simone-tarantino/godot-superpowers/genre-pack-turnbased/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/simone-tarantino/godot-superpowers/genre-pack-turnbased"><img src="https://agentmods.dev/badge/skills/simone-tarantino/godot-superpowers/genre-pack-turnbased.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,212 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.02212
Opus 5 $0.00023 $0.01106
Sonnet 5 $0.00009 $0.00442
Haiku 4.5 $0.00005 $0.00221

Measured 12d ago against content hash 7430dc32c5aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

genre-pack-turnbased scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/genre-pack-turnbased/SKILL.md · 338 lines

How it starts

The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Genre Pack: Turn-Based

Patterns for turn-based games — works for tactics RPGs, card games, roguelikes, and grid-based puzzlers. Designed for deterministic resolution so games are replay-friendly and netcode-friendly.

Core idea

  • An Actor is anything that takes turns (player, enemy, summon).
  • The TurnManager orders actors by initiative and yields control to each in turn.
  • Actors submit Actions; Actions get resolved deterministically.
  • All randomness goes through a seeded RNG so the same input → same output.

TurnManager

autoload/turn_manager.gd:

extends Node
## Round-based turn manager. Actors are ordered by initiative each round.
## Emits signals for UI; calls `take_turn()` on each Actor and awaits completion.

signal round_started(round_num: int)
signal round_ended(round_num: int)
signal turn_started(actor: Actor)
signal turn_ended(actor: Actor)
signal battle_ended(winner_team: StringName)

var actors: Array[Actor] = []
var current_round: int = 0
var current_actor_index: int = 0
var battle_running: bool = false

func start_battle(participants: Array[Actor]) -> void:
    actors = participants
    current_round = 0
    battle_running = true
    _next_round()

func _next_round() -> void:
    if not battle_running:
        return
    current_round += 1
    actors.sort_custom(func(a, b): return a.initiative > b.initiative)
    round_started.emit(current_round)
    current_actor_index = -1
    _next_turn()

func _next_turn() -> void:
    if not battle_running:
        return
    current_actor_index += 1
    if current_actor_index >= actors.size():
        round_ended.emit(current_round)
        _check_victory()
        if battle_running:
            _next_round()
        return
    var actor := actors[current_actor_index]
    if not actor.is_alive():
        _next_turn()
        return
    turn_started.emit(actor)
    await actor.take_turn()
    turn_ended.emit(actor)
    _next_turn()

func _check_victory() -> void:
    var teams: Dictionary[StringName, int] = {}
    for a in actors:
        if a.is_alive():
            teams[a.team] = teams.get(a.team, 0) + 1
    if teams.size() <= 1:
        battle_running = false
        var winner: StringName = teams.keys()[0] if teams.size() == 1 else &"draw"
        battle_ended.emit(winner)

func end_battle() -> void:
    battle_running = false

Read the full file on GitHub · 338 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 338 lines · 47 tokens per session scan A 7430dc32c5aa

Subscribe to this mod's changes

genre-pack-turnbased is a skill published in the GitHub repository Simone-Tarantino/godot-superpowers (2 stars, last pushed 4mo ago), licensed MIT. It adds 47 tokens to every session and 2,212 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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