MCPInstall

godot-turn-system

Expert blueprint for turn-based combat with turn order, action points, phase management, and timeline systems for strategy/RPG games. Covers speed-based initiative, interrupts, and simultaneous turns. Use when implementing turn-based combat OR tactical systems. Keywords turn-based, initiative, action points, phase, round, turn order, combat.

Installs
357
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/thedivergentai/game-dev-agentic-skills --skill godot-turn-system
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads godot-turn-system automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

NEVER Do (Expert Anti-Patterns)

Order & Determinism

  • NEVER recalculate turn order every action; strictly sort once per round or ONLY when a speed-relevant stat changes to prevent O(n log n) lag.

  • NEVER use random tie-breaking for initiative; strictly use a secondary static attribute (Agility, ID, or persistent "luck") for deterministic replays.

  • NEVER modify an active turn-order queue while iterating it; strictly iterate over a duplicate() or apply queue modifications after the loop.

  • NEVER broadcast global turn state changes using immediate call_group(); strictly use call_group_flags(SceneTree.GROUP_CALL_DEFERRED, ...) to prevent frame spikes when notifying hundreds of units.

  • NEVER rely on the Node hierarchy as the source of truth; strictly use a Dictionary board state for logical grid coordinates.

Logic & Action Economy

  • NEVER deduct Action Points (AP) before validation; strictly call can_perform_action(cost) before applying current_ap -= cost to prevent exploits.
  • NEVER hardcode phase transitions (if phase == 0); strictly use an enum + match or a dedicated State Machine for Draw/Main/End phases.
  • NEVER emit "Turn Ended" before internal cleanup; strictly reset AP and tick status effects BEFORE signaling the next turn.
  • NEVER use exact floating-point equality (==) for AP checks; strictly use >= or is_equal_approx() for robust comparisons.

Tactical Grid & UI

  • NEVER use generic AStar2D for tile grids; strictly use AStarGrid2D for 10x faster pathfinding and native diagonal handling.
  • NEVER forget to call update() on AStarGrid2D after changing obstacle states; if you toggle set_point_solid(), the grid MUST refresh before the next query.
  • NEVER lock the main thread with while loops for input; strictly use the await keyword or signals to yield execution back to the Tree.
  • NEVER handle turn decisions with is_action_pressed(); strictly use is_action_just_pressed() for discrete, frame-locked menu input.
  • NEVER skip turn timeouts in networked games; strictly implement a server-side timer with a default "pass" action to prevent griefing. See Networked Turn Timeout golden path below.

Decision Tree — Pick a Turn Model

NeedChooseMANDATORY script
Discrete rounds (chess / tactics / card phases)Round + initiative queue + AP phasesturn_system_patterns.gd
Continuous gauges (FF-style ATB)Per-actor gauge fill in _processactive_time_battle.gd
Timeline / CTB with interrupts & predictionEvent timeline + predictive UItimeline_turn_manager.gd

Do NOT invent a fourth model inline. Read the matching script before coding.

Expert Components (scripts/)

  • turn_system_patterns.gd — Match-based phase machines, UndoRedo, AStarGrid2D board helpers.
  • active_time_battle.gd — ATB gauges, pause-on-ready, async action handoff.
  • timeline_turn_manager.gd — Timeline / CTB with interrupts and pre-visualization.
  • turn_predictor.gd — Simulate ATB gauges for timeline UI preview.
  • combat_stats_resource.gd — Deterministic damage preview Resource for hover UI.

TurnManager Autoload — Interface Contract Only

Keep the Autoload thin. Do not paste full queue math here — implement in the script chosen above.

# turn_manager.gd (AutoLoad) — contract only
extends Node
signal turn_started(combatant: Node)
signal turn_ended(combatant: Node)
signal round_ended
signal turn_timed_out(combatant: Node)  # multiplayer: server default-pass

func start_combat(participants: Array[Node]) -> void: pass
func end_turn() -> void: pass
func request_pass(combatant: Node) -> void: pass  # default action on timeout

Networked Turn Timeout (Golden Path)

Referenced from NEVER: server owns the clock; clients never decide "pass."

  1. On turn_started, server starts a one-shot Timer / SceneTreeTimer (authoritative).
  2. On timeout: server calls request_pass(current) (or auto-end-turn), then emits turn_timed_out.
  3. Clients only render the countdown; never mutate the turn queue locally.
  4. Pair with godot-multiplayer-networking for host-auth RPC.

Action Points (Contract)

func can_perform_action(cost: int) -> bool:
    return current_action_points >= cost

func perform_action(cost: int) -> bool:
    if not can_perform_action(cost):
        return false
    current_action_points -= cost
    return true

Phases: prefer enum Phase { DRAW, MAIN, END } + match, or route to godot-state-machine-advanced. Full ATB / timeline math lives in the MANDATORY scripts — do not duplicate Elite snippets here.

Deep recipes (on demand)

LLM-ignorance rule: if a general agent would not know it before reading, it lives here or in scripts/ — never delete, only move.

TopicReference
ATB / prediction / previewselite-turn-patterns.md

Reference

Progressive disclosure: open Official Documentation links only when researching a specific API; load Related Skills when routing work to a peer domain — do not preload the whole lattice.

Official Documentation

  • Idle and Physics Processing — When turn ticks belong in _process vs _physics_process vs pure event steps.
  • Using signals — Turn-start / turn-end / unit-acted events without polling gauges.
  • Resources — Initiative/speed stats as Resources for sim and UI prediction.
  • Singletons (Autoload) — TurnManager ownership boundaries.
  • GDScript basics — await sequencing for multi-phase turns.
  • Object — Signal connect flags for turn bus listeners.
  • SceneTree — Pausing gameplay while menus resolve turn choices.
  • Timer — Optional realtime turn clocks without busy loops.
  • Tween — Animating ATB gauges and turn handoff juice.
  • AnimationPlayer — Action animations that must finish before the next turn.
  • MultiplayerAPI — Authoritative turn order in networked matches.
  • JSON — Deterministic turn replay / seed logs for balance labs.

Related Skills

Prerequisites

Complements

Downstream / consumers

Master

  • godot-master — Library router and mirrored module entry for turn systems.

FAQ

What does the godot-turn-system skill do?

Expert blueprint for turn-based combat with turn order, action points, phase management, and timeline systems for strategy/RPG games. Covers speed-based initiative, interrupts, and simultaneous turns. Use when implementing turn-based combat OR tactical systems. Keywords turn-based, initiative, action points, phase, round, turn order, combat.

How do I install godot-turn-system?

Run npx skills add https://github.com/thedivergentai/game-dev-agentic-skills --skill godot-turn-system in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/godot-turn-system/ (personal) or .claude/skills/godot-turn-system/ (project).

Which AI agents can use godot-turn-system?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is godot-turn-system safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains godot-turn-system?

It is published by thedivergentai in thedivergentai/game-dev-agentic-skills. It has 357 recorded installs.

More from thedivergentai/game-dev-agentic-skills

View all →

godot-master

thedivergentai/game-dev-agentic-skills

Consolidated expert library for professional Godot 4.7+ game and application development. Orchestrates 92 Domain Skills through architectural workflows, anti-pattern catalogs, performance budgets, and Server API patterns. Use when: (1) starting a new Godot project, (2) designing game or app architecture, (3) building entity/component systems, (4) debugging performance or physics issues, (5) choosing between 2D/3D approaches, (6) implementing multiplayer, (7) optimizing draw calls or script time, (8) porting between platforms, (9) migrating from 4.6 to 4.7. Primary entry point for ALL Godot development tasks. Keywords: Godot 4.7, AreaLight3D, HDR, Asset Store, godot-master.

godot-shaders-basics

thedivergentai/game-dev-agentic-skills

Expert Godot shader patterns for batch-safe hitflash, alpha-scissor foliage/dissolve, screenspace postFX, depth reconstruction, triplanar, and instance uniforms — not first-shader tutorials. Trigger on draw-call batching breaks, discard vs depth-prepass, foliage shadows, post-process quads, or world-position FX. Keywords: instance uniform, ALPHASCISSOR, hintscreentexture, hintdepthtexture, global uniform, sampler2DArray, canvasitem, spatial, post-processing.

AI & Agents691 installs

godot-2d-animation

thedivergentai/game-dev-agentic-skills

Expert patterns for 2D animation in Godot using AnimatedSprite2D and skeletal cutout rigs. Use when implementing sprite frame animations, procedural animation (squash/stretch), cutout bone hierarchies, or frame-perfect timing systems. Trigger keywords: AnimatedSprite2D, SpriteFrames, animationfinished, animationlooped, framechanged, frameprogress, setframeandprogress, cutout animation, skeletal 2D, Bone2D, procedural animation, animation state machine, advance(0).

Frontend & Design688 installs

godot-ui-theming

thedivergentai/game-dev-agentic-skills

Expert blueprint for UI themes using Theme resources, StyleBoxes, custom fonts, and theme overrides for consistent visual styling. Covers StyleBoxFlat/Texture, theme inheritance, dynamic theme switching, and font variations. Use when implementing consistent UI styling OR supporting multiple themes. Keywords Theme, StyleBox, StyleBoxFlat, addthemeoverride, font, theme inheritance, dark mode.

Frontend & Design623 installs

godot-gdscript-mastery

thedivergentai/game-dev-agentic-skills

Expert GDScript landmine guidance: static typing opcodes, signal-up/call-down, %UniqueName/@onready lifecycle, Callable bind/unbind, await sequences, typed collections, and safe Dictionary iteration. Use for code review, refactoring hot paths, or project standards. Trigger keywords: statictyping, signalarchitecture, uniquenodes, @onready, classname, signalupcalldown, Callable.bind, typedcollections, awaitsequence.

godot-particles

thedivergentai/game-dev-agentic-skills

Expert blueprint for GPU particle systems (explosions, magic effects, weather, trails) using GPUParticles2D/3D, ParticleProcessMaterial, gradients, sub-emitters, and custom shaders. Use when creating VFX, environmental effects, or visual feedback. Keywords GPUParticles2D, ParticleProcessMaterial, emissionshape, colorramp, subemitter, oneshot.

Media & Creative614 installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs