Build a puzzle game: grid/board state, move input, rule-based resolution (match-3 cascades, sokoban pushes, tile logic), scoring, and undo.

Apache-2.0Auto-check passedGame Development

Install Puzzle

skills CLI
$ npx skills add gamedev-skills/awesome-gamedev-agent-skills --skill puzzle -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gamedev-skills/awesome-gamedev-agent-skills puzzle --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gamedev-skills/awesome-gamedev-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/genres/puzzle .claude/skills/puzzle && rm -rf skills-src

Use ~/.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/

Facts

Skill name
puzzle
GitHub stars
1.4k
Token cost
~1.7k tokens
SKILL.md length
638 words
Files
2 (incl. references)
Skills in repo
53
Repo updated
First seen
Licence
Apache-2.0

At a glance

Build a puzzle game: grid/board state, move input, rule-based resolution (match-3 cascades, sokoban pushes, tile logic), scoring, and undo.

  • Works in 3 steps: Board model + match detection (logic… → Resolve → collapse → refill → cascade… → Undo via state snapshot or command
  • Grid-logic puzzle
  • SKILL.md covers When to use, Core loop, Must-have systems and Design knobs, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Puzzle is an agent skill from gamedev-skills/awesome-gamedev-agent-skills. Build a puzzle game: grid/board state, move input, rule-based resolution (match-3 cascades, sokoban pushes, tile logic), scoring, and undo. Use for a match-3, sokoban, or grid-logic puzzle.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/board-and-resolution.md`).

It sits in Game Development, covering Game development. The repository describes itself as: 74 game-dev skills for AI coding agents — Godot, Unity, Unreal, Phaser, PixiJS, three.js, Bevy, pygame, LÖVE, Roblox. Portable SKILL.md Agent Skills (the format Anthropic… The licence is Apache-2.0.

When your agent uses it

  • Grid-logic puzzle
  • Tasks that involve Game development

Example prompts

  • “/puzzle”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Board model + match detection (logic separate from visuals)
  2. Resolve → collapse → refill → cascade (repeat to stability)
  3. Undo via state snapshot or command

What it can do on your machine

Read from SKILL.md and the folder at commit 0a70cfc. 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 (its code samples are python).

    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

Puzzle loads about 1.7k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 49 tokens; SKILL.md has 638 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3k

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 gamedev-skills/awesome-gamedev-agent-skills at commit 0a70cfc, republished under its Apache-2.0 licence (© gamedev-skills). 638 words, ~1,737 tokens.

Download SKILL.mdSave it as .claude/skills/puzzle/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
puzzle
description
Build a puzzle game: grid/board state, move input, rule-based resolution (match-3 cascades, sokoban pushes, tile logic), scoring, and undo. Use for a match-3, sokoban, or grid-logic puzzle.

Puzzle

A playbook for grid/board puzzle games — the board model, move input, rule resolution (matching, pushing, logic), scoring, undo, and level progression. This is a compositional skill: it models board state and rules and presents them through a tilemap/UI. It does not re-teach tilemaps; it defines the resolution loop and the correctness rules (clean state, deterministic resolution, undo) that keep a puzzle fair and bug-free.

When to use

  • Use when the game is a discrete board the player changes with moves, and the board resolves by rules: match-3/tile-matching, sokoban/block-pusher, sliding puzzle, logic grid.
  • Use when designing match/cascade resolution, undo, level progression, or solvability.

When not to use: real-time grid action with permadeath → roguelike. Card zones/turns → card-game. Physics-based "puzzle platformer" → platformer + physics-tuning. For the tile rendering, use godot-tilemap / unity-tilemap-2d.

Core loop

Read the board → plan a move → make the move → the board resolves by its rules (match, push, fall, fill, cascade) → see progress toward the objective → repeat until solved/failed. The fun is the planning; the engine's job is to resolve each move deterministically and present it clearly.

Must-have systems

  1. Board model — a grid of cells holding pieces; the single source of truth (logic, not visuals).
  2. Move input — swap, push, drag, rotate, or place; validate legality before applying.
  3. Rule resolution — detect and apply the genre's rule (matches, pushes, logic) until stable.
  4. Cascades/chains — when resolution changes the board, re-resolve until no more changes.
  5. Objectives + scoring — win/lose conditions (score, clear all, reach goal); move/time limits.
  6. Undo — revert the last move (and its resolution) exactly; essential for thinky puzzles.
  7. Level progression + (often) generation — hand-authored or generated solvable boards.
  8. Feedback ("juice") — clear, satisfying animation/sound for matches, falls, and chains.

Design knobs

KnobEffectNotes
Grid size / shapecomplexitySquare is standard; hex/irregular change feel.
Match/push rulegenre identity3-in-a-row, shapes, push-into-goal, etc.
Cascade scoringreward depthBigger chains = exponential payoff.
Move / time limitpressureMove-limited = puzzly; time = arcade.
Difficulty curvelearningIntroduce one mechanic at a time.
Undo depthforgivenessSingle-step vs. full history.
Solvability guaranteefairnessGenerated boards must be solvable.
Deadlock handlingno dead endsDetect no-moves; shuffle or end (refs).

Patterns

1. Board model + match detection (logic separate from visuals)
python
# Pseudocode. The board is the truth; rendering reads from it. (0,0) top-left, y grows down.
board = [[piece_or_empty for _ in range(W)] for _ in range(H)]

def find_matches(board):
    matched = set()
    for y in range(H):                       # horizontal runs of >= 3 equal pieces
        run = 1
        for x in range(1, W):
            if board[y][x] and board[y][x] == board[y][x-1]: run += 1
            else:
                if run >= 3: matched |= {(y, k) for k in range(x-run, x)}
                run = 1
        if run >= 3: matched |= {(y, k) for k in range(W-run, W)}
    # ... repeat the same scan vertically (columns) ...
    return matched
2. Resolve → collapse → refill → cascade (repeat to stability)
python
# Pseudocode. One player move can trigger a chain; loop until the board stops changing.
def resolve(board):
    chain = 0
    while True:
        matches = find_matches(board)
        if not matches: break                 # stable: resolution complete
        chain += 1
        score += score_for(matches, chain)    # later chain steps score more (see refs)
        clear(board, matches)                  # remove matched pieces
        apply_gravity(board)                   # pieces fall into the gaps
        refill(board, rng)                      # spawn new pieces at the top (seeded RNG)
    return chain
Show full SKILL.md (265 more words)Show less
3. Undo via state snapshot or command
python
# Pseudocode. Snapshot before each move; undo restores it exactly (board + score + counters).
def make_move(move):
    history.append(snapshot(board, score, moves_left))   # push BEFORE applying
    apply(move); resolve(board); moves_left -= 1

def undo():
    if history:
        board, score, moves_left = history.pop()         # exact revert, including resolution

For large boards prefer the command pattern (store the move + enough to invert it) over full snapshots to save memory; snapshots are simplest and fine for small boards.

Pitfalls / failure modes

  • Mixing logic and visuals → animations desync from state and cause bugs. The board model is the single source of truth; the view only renders it.
  • Resolving only once → cascades/chains are missed. Loop resolution until the board is stable (Pattern 2).
  • Undo that doesn't restore everything → score/move-count/random-state drift. Snapshot all state, or make the move fully invertible.
  • Unseeded refill RNG → can't reproduce a level / no deterministic undo or daily puzzle. Seed it.
  • Generated boards that aren't solvable → unfair dead ends. Generate-and-verify, or generate from a known solution backward (refs).
  • No deadlock detection (match-3) → board with no valid moves softlocks. Detect "no moves" and shuffle or end the level (refs).
  • Difficulty spikes → too many mechanics at once. Teach one mechanic per level before combining.
  • Resolution mid-animation accepts input → double-moves/corruption. Lock input until the board is stable.

Composition (build it from these skills)

  • Board rendering: godot-tilemap / unity-tilemap-2d for the grid; godot-ui-control for HUD, score, and menus.
  • Levels: level-design for hand-authored puzzles and difficulty pacing; procedural-gen for solvable generated boards.
  • Persistence: save-systems for level progress, high scores, and seeded daily puzzles.
  • Juice: game-feel for match/cascade pop, screen shake, and chain feedback; the engine animation/Tween skill for swaps/falls/clears; audio-design for match and chain cues.
  • Scripting: godot-gdscript / unity-csharp-scripting for the resolution loop and rules.

References

  • For match-3 detection/gravity/refill/cascade detail, deadlock detection and reshuffles, sokoban/rule-based puzzles, undo strategies, solvable generation, and scoring, read references/board-and-resolution.md.

© gamedev-skills, 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 (references) in skills/genres/puzzle of gamedev-skills/awesome-gamedev-agent-skills.

  • SKILL.md
  • references/board-and-resolution.md

Open the folder on GitHubat commit 0a70cfc

Compare with similar skills

Puzzle 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.

Puzzle compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Puzzle this skillgamedev-skills/awesome-gamedev-agent-skills1.4k—~1.7kAutomated safety check: PassApache-2.0
Godot Gdscript Patterns925236118/AlphaAgent10310 repos~5kAutomated safety check: PassMIT
Sprite Genaldegad/sprite-gen2.7k—~4.9kAutomated safety check: PassApache-2.0
2D Map and Scene Generator0x0funky/agent-sprite-forge4.4k—~2.9kAutomated safety check: PassMIT
Fantasy Framework Development Guideqq362946/Fantasy1.4k—~5.8kAutomated safety check: PassCustom licence
Dev StoryDonchitos/Claude-Code-Game-Studios26k—~2.4kAutomated safety check: NotesMIT

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Questions about Puzzle

What does Puzzle do?

Build a puzzle game: grid/board state, move input, rule-based resolution (match-3 cascades, sokoban pushes, tile logic), scoring, and undo. Puzzle is an agent skill from gamedev-skills/awesome-gamedev-agent-skills. Build a puzzle game: grid/board state, move input, rule-based resolution (match-3 cascades, sokoban pushes, tile logic), scoring, and undo.

When should I use Puzzle?

Puzzle fits situations like: grid-logic puzzle; tasks that involve Game development.

How do I install Puzzle in Claude Code?

Run `npx skills add gamedev-skills/awesome-gamedev-agent-skills --skill puzzle -a claude-code`. Or copy the skill folder (skills/genres/puzzle in gamedev-skills/awesome-gamedev-agent-skills) into .claude/skills/puzzle in your project. Claude Code loads it when a task matches its description.

How do I install Puzzle in Codex?

Run `npx skills add gamedev-skills/awesome-gamedev-agent-skills --skill puzzle -a codex`. Or copy the skill folder (skills/genres/puzzle in gamedev-skills/awesome-gamedev-agent-skills) into .agents/skills/puzzle in your project. Codex loads it when a task matches its description.

Can I use Puzzle 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 gamedev-skills/awesome-gamedev-agent-skills --skill puzzle -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/puzzle, .gemini/skills/puzzle, .github/skills/puzzle and .opencode/skills/puzzle in your project.

What does Puzzle need to run?

SKILL.md names no scripts, command-line tools or credentials: Puzzle is instructions for the agent only. Our summary lists: Python 3.

Does Puzzle 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 Puzzle 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 Puzzle use?

Puzzle 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 Puzzle use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Puzzle?

Skills that share tags, products or a category with Puzzle: Godot Gdscript Patterns (925236118/AlphaAgent, 103 stars), Sprite Gen (aldegad/sprite-gen, 2.7k stars), 2D Map and Scene Generator (0x0funky/agent-sprite-forge, 4.4k stars) and Fantasy Framework Development Guide (qq362946/Fantasy, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Puzzle?

gamedev-skills (a GitHub organization) maintains it in gamedev-skills/awesome-gamedev-agent-skills, which has 1,389 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on October 9, 2026.

Source: gamedev-skills/awesome-gamedev-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.