gamedev-skills
Indexado en Registry
puzzle
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.
Resumen
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.
Leer documentación completa
Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.
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
- Board model — a grid of cells holding pieces; the single source of truth (logic, not visuals).
- Move input — swap, push, drag, rotate, or place; validate legality before applying.
- Rule resolution — detect and apply the genre's rule (matches, pushes, logic) until stable.
- Cascades/chains — when resolution changes the board, re-resolve until no more changes.
- Objectives + scoring — win/lose conditions (score, clear all, reach goal); move/time limits.
- Undo — revert the last move (and its resolution) exactly; essential for thinky puzzles.
- Level progression + (often) generation — hand-authored or generated solvable boards.
- Feedback ("juice") — clear, satisfying animation/sound for matches, falls, and chains.
Design knobs
| Knob | Effect | Notes |
|---|---|---|
| Grid size / shape | complexity | Square is standard; hex/irregular change feel. |
| Match/push rule | genre identity | 3-in-a-row, shapes, push-into-goal, etc. |
| Cascade scoring | reward depth | Bigger chains = exponential payoff. |
| Move / time limit | pressure | Move-limited = puzzly; time = arcade. |
| Difficulty curve | learning | Introduce one mechanic at a time. |
| Undo depth | forgiveness | Single-step vs. full history. |
| Solvability guarantee | fairness | Generated boards must be solvable. |
| Deadlock handling | no dead ends | Detect no-moves; shuffle or end (refs). |
Patterns
1. Board model + match detection (logic separate from visuals)
# 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)
# 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
3. Undo via state snapshot or command
# 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-2dfor the grid;godot-ui-controlfor HUD, score, and menus. - Levels:
level-designfor hand-authored puzzles and difficulty pacing;procedural-genfor solvable generated boards. - Persistence:
save-systemsfor level progress, high scores, and seeded daily puzzles. - Juice:
game-feelfor match/cascade pop, screen shake, and chain feedback; the engine animation/Tweenskill for swaps/falls/clears;audio-designfor match and chain cues. - Scripting:
godot-gdscript/unity-csharp-scriptingfor 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.
Metadatos del archivo
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.
Ver texto original
---
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
| Knob | Effect | Notes |
|------|--------|-------|
| Grid size / shape | complexity | Square is standard; hex/irregular change feel. |
| Match/push rule | genre identity | 3-in-a-row, shapes, push-into-goal, etc. |
| Cascade scoring | reward depth | Bigger chains = exponential payoff. |
| Move / time limit | pressure | Move-limited = puzzly; time = arcade. |
| Difficulty curve | learning | Introduce one mechanic at a time. |
| Undo depth | forgiveness | Single-step vs. full history. |
| Solvability guarantee | fairness | Generated boards must be solvable. |
| Deadlock handling | no dead ends | Detect 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
```
### 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`.
Revisar el código fuente
Precio y costes de ejecución
- Obtener el skill
- Precio sin confirmar
- Ejecutarlo
- Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
- Licencia
- Apache-2.0
- Precio sin confirmar
- No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.
Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →
Fuente del skill registrada
La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.
Revisar antes de instalar: Evitar instalación automática
Licencia: Apache-2.0
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.
Empieza con una tarea pequeña
- 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
- 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
- 3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.
Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.
Fuente y notas de uso
Indexado
Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.
- Repositorio fuente
- gamedev-skills/awesome-gamedev-agent-skills
- Licencia
- Apache-2.0
- Versión
- 1.0.0
- Último push de GitHub
- 24 ago 2026
- Registro actualizado
- 2 sept 2026
- Ruta de instrucciones
- skills/genres/puzzle/SKILL.md @ 7110607ab816
Versión declarada en el registro; consulta las versiones de la fuente.
Calidad
73/100
Sólido
Confianza
72/100
Solo sandbox
Auditoría
82/100
Riesgoso
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Verified installs
- —
- Resultados
- —
Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.
Acceso para agentes
La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.
Más detalles
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"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"high-compliance environments without internal security review",
"No major risk signals from current metadata",
"Audit risk risky exceeds max_risk=medium",
"High-risk permission hints: Shell or command execution",
"Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Quality score needs review"
],
"agent_contract": {
"task_input": "Use puzzle in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 80/100 Strong shortlist",
"Audit: 82/100 Risky",
"Safety: 58/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "gamedev-skills-puzzle (puzzle)",
"install_command": "npx skills add gamedev-skills/awesome-gamedev-agent-skills --skill puzzle",
"risk_summary": "Risky; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "gamedev-skills-puzzle",
"task": "Use puzzle in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/gamedev-skills-puzzle",
"api": "https://www.openagentskill.com/api/agent/skills/gamedev-skills-puzzle",
"audit": "https://www.openagentskill.com/skills/gamedev-skills-puzzle/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=gamedev-skills-puzzle&task=Use%20puzzle%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20puzzle%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20puzzle%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/gamedev-skills-puzzle/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/gamedev-skills-puzzle"
}
}Para el creador
Fuente de la ficha
Indexado por Registry
Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.
- Creador
- gamedev-skills
- Indexado por
- Índice comunitario de OpenAgentSkill
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[](https://www.openagentskill.com/skills/gamedev-skills-puzzle/audit)
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