Skills gamedev-skills awesome-gamedev-agent-skills Gamedev Agent Skills

roguelike

Use it when:
You're making a turn-based, grid-based dungeon crawler where death ends the run and the world regenerates, as a roguelike or a roguelite.
It does:
Sets out the systems to build, the design knobs to tune and the bugs to avoid, with engine-neutral pseudocode.
You get:
A roguelike built around eight must-have systems, from an energy-based turn scheduler to a message log.
Leaves to others:
Noise, tilemaps, saving and monster AI, to the repo's procedural-gen, engine tilemap, save-systems and game-ai skills.

Skill 18 of 27 in the Gamedev Agent Skills bundle, after platformer and before rpg.

TL;DR

A genre playbook from a game-development collection. It anchors the design in the Berlin Interpretation, a community list of what makes a game feel roguelike, such as random levels, permadeath, turns, a grid and many interacting items and monsters. Its core loop: take a turn, let the world resolve its turn, then descend, loot or die and restart in a fresh dungeon. Patterns cover one seeded random generator per run, so a dungeon can be replayed or a crashed run resumed; an energy scheduler, where faster actors act more often, granting energy in its own pass so no actor is starved of turns; and field of view with explored memory, using symmetric shadowcasting so that if you can see a monster, it can see you. A table of knobs covers dungeon size, monster and loot curves by depth, FOV radius, scarcity and permadeath versus meta-progression. Pitfalls include unreachable rooms, real-time loops posing as turn-based ones, save-scumming and wiping meta-unlocks along with the run. It's a compositional skill: it names the repo's other skills to build each primitive from instead of teaching them.

Summarizes the skill at 19d93f9.

npx skills add https://github.com/gamedev-skills/awesome-gamedev-agent-skills --skill roguelike
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Jun 27, 2026 on skills.sh
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Category

Taste for interfaces that don't look generated: direction, motion and accessibility.

Make games: design, genres, game feel and game-jam workflows, whatever the engine.

Everything for building software: planning, coding, debugging, design, frameworks, cloud, agents and skills.

Type

Knowledge and rules the agent applies while it works: best practices, design principles, API references.

Effect

Adds no side effects of its own. It shapes how the agent thinks, writes or reviews. Guidelines and routers are always effect:none, even when the task they support edits code.

Needs

Instructions only. Works in any agent that supports skills.

Publisher

Everyone else. Unverified vendor claims default to community.

Topics

SKILL.md

From gamedev-skills/awesome-gamedev-agent-skills at 19d93f9. Checked daily, last changed Nov 6, 2026.

Frontmatter
name: roguelike
description: >
  Build a roguelike: turn-based grid movement, procedural dungeons, permadeath, field-of-view,
  and loot tables. Use for a roguelike/roguelite or turn-based grid dungeon crawler with procedural levels.

Roguelike

A playbook for roguelikes — the turn engine, procedural dungeons, field-of-view, permadeath, and run economy. This is a compositional skill: it orchestrates procedural generation, tilemaps, save handling, and AI into a run-based game. It does not re-teach noise/RNG or tilemap APIs; it defines the loop and the systems that make a run compelling.

When to use

  • Use when building a turn-based, grid-based dungeon crawler where each death ends the run and the world is regenerated — a roguelike or "roguelite" (with meta-progression).
  • Use when designing procedural dungeons, FOV/fog-of-war, permadeath stakes, or loot tables.

When not to use: real-time action with roguelike dressing → build the action genre (platformer/fps-shooter) and layer procedural-gen. Deep stats/quests/dialogue without permadeath → rpg. Open-world needs/crafting → survival-crafting.

What makes it a roguelike (design anchor)

The community reference is the Berlin Interpretation (RogueBasin, IRDC 2008): a set of "roguelikeness" factors, not a checklist. The high-value ones are the design targets: random environment generation, permadeath, turn-based, grid-based, non-modal (all actions in one mode), complexity (many item/monster interactions), resource management, hack-and-slash, and exploration & discovery. Lean into these to feel roguelike; pick which to keep deliberately. "Roguelite" usually relaxes permadeath with meta-progression.

Core loop

Take a turn (move / fight / use) → the world resolves its turn → see new state → descend / loot / survive → die and restart with a fresh dungeon. Replayability comes from the world changing each run, not the player memorizing a fixed layout.

Must-have systems

  1. Turn scheduler — energy/initiative system so fast actors act more often (Pattern 2).
  2. Grid map + movement — tile coordinates; bump-to-attack; blocked/walkable queries.
  3. Procedural dungeon generator — rooms + corridors, or BSP/cellular; guarantee connectivity.
  4. Field of view + explored memory — what's visible now vs. seen-before (Pattern 3 / refs).
  5. Combat + entities — HP, attack/defense, status; monsters obey the same rules as the player.
  6. Loot + drop tables — weighted, depth-scaled item/monster spawning (refs).
  7. Permadeath + (optional) meta-progression — wipe the run; persist only unlocks/score.
  8. Message log + clear UI — the player reasons from text/state; surface numbers and events.

Design knobs

Knob Effect Notes
Dungeon size / room count run length, density Scale with depth.
Connectivity guarantee no unreachable rooms Always verify reachability after generation.
Monster density / depth curve difficulty ramp Spawn by depth-weighted table.
Loot rarity weights power variance Rarer = bigger swing; identify adds discovery.
FOV radius / lighting tension, information Smaller radius = scarier, slower.
Resource scarcity (food/HP/ammo) pressure to descend Core tension lever in classic RLs.
Permadeath vs meta-progression run stakes vs. retention Roguelite softens the wall.
Identification / unknowns exploration value Unidentified items reward experimentation.
Seedable RNG daily runs, debugging Always allow a fixed seed (see procedural-gen).

Patterns

1. Deterministic, seedable run RNG
# Pseudocode. One seeded RNG per run makes dungeons reproducible (daily runs, bug repro).
run_seed = chosen_seed or random_seed()
rng = Rng(run_seed)                 # use your engine's seedable RNG, not global random
dungeon = generate_dungeon(rng, depth)   # same seed + depth => same dungeon
# Persist run_seed in the save so a crash can resume the same world (see save-systems).
2. Energy-based turn scheduler (speeds differ)
# Pseudocode. Actors gain energy each tick and act when they have enough.
# Faster actors gain more per tick, so they act more often — no fixed "player then enemies".
TURN_COST = 100
def next_actor(actors):
    while True:
        for a in actors:                 # 1) serve anyone already ready, in a stable order
            if a.energy >= TURN_COST:
                a.energy -= TURN_COST    #    (or the cost of the action they choose)
                return a                 #    this actor takes exactly one action now
        for a in actors:                 # 2) nobody is ready: advance time for everyone at once
            a.energy += a.speed          #    e.g. speed 100 = normal, 150 = hasted, 50 = slowed

Grant energy to everyone in a separate pass. Adding it inside the same loop that returns the first ready actor starves every actor after it: with two speed-100 actors, the first one acts every time and the second never does.

3. Field of view + explored memory
# Pseudocode. Recompute visibility from the player each time they move.
visible = compute_fov(map, player.pos, radius=8)   # symmetric shadowcasting (see refs)
for cell in visible:
    explored.add(cell)                  # remember it forever (dim "fog of war")
# Render: visible -> lit; explored-but-not-visible -> dim; never-seen -> hidden.

Use symmetric shadowcasting (refs §3): if you can see a monster, it can see you. Classic recursive shadowcasting is fast but not symmetric, and a naive raycast per cell gives blind spots and "blinking" vision. If a library is available, use its symmetric mode (python-tcod's compute_fov takes FOV_SYMMETRIC_SHADOWCAST as its algorithm).

Pitfalls / failure modes

  • Disconnected dungeons → rooms the player can't reach. Always run a connectivity/flood-fill pass and carve corridors until every walkable cell is reachable.
  • Naive FOV → vision that flickers or is asymmetric (you see them, they don't see you). Use symmetric shadowcasting and test symmetry (refs §3).
  • One actor never gets a turn → energy granted inside the "find who is ready" loop (Pattern 2). Advance energy for all actors in its own pass.
  • Real-time loop pretending to be turn-based → input races and double-moves. Resolve one discrete turn at a time; queue input.
  • Flat difficulty → no descent pressure. Scale monsters/loot by depth and keep resources scarce.
  • Permadeath that wipes meta-unlocks → frustration. Separate run state (wiped) from profile state (unlocks, scores) when saving (see save-systems).
  • Save-scumming a "permadeath" game → delete or invalidate the run save on load if you want true permadeath; keep only the profile.
  • Unreadable state → the player can't plan. Show HP, turn results, and a message log.

Composition (build it from these skills)

  • Generation: procedural-gen (noise, seeded RNG, dungeon/room algorithms) — the engine of replayability.
  • Map rendering: godot-tilemap / unity-tilemap-2d for the grid; level-design for set-piece rooms/vaults.
  • Enemies: game-ai for monster decision-making (often simple on a grid: seek/flee/patrol).
  • Persistence: save-systems for run-resume, profile/meta-progression, and true permadeath wipes.
  • Scripting/data: godot-resources / unity-scriptableobjects to define items, monsters, and drop tables as data.
  • UI: godot-ui-control for the message log, inventory, and HUD.
  • Feel: game-feel for hit/death juice — screen shake and hit-stop that sell impacts on a turn-based grid.

References

  • For dungeon-generation algorithms (rooms-and-corridors, BSP, cellular automata, connectivity), FOV (shadowcasting), and weighted loot/spawn tables, read references/generation-fov-loot.md.