ai-behavior-trees-util…
Build a production behavior-tree runtime (Blackboard, action/condition leaves, sequence/selector/parallel composites, decorators) and a Utility AI system…
Build a tower defense: enemies pathing along lanes, wave spawning, towers that auto-target and fire, an economy, and lives. Use for a tower-defense/wave-defense game, or balancing waves and economy.
$ npx -y skills add gamedev-skills/awesome-gamedev-agent-skills --skill tower-defense --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/tower-defenseContext preview
The summary Claude sees to decide when to auto-load this skill.
Build a tower defense: enemies pathing along lanes, wave spawning, towers that auto-target and fire, an economy, and lives. Use for a tower-defense/wave-defense game, or balancing waves and economy.
name: tower-defense description: > Build a tower defense: enemies pathing along lanes, wave spawning, towers that auto-target and fire, an economy, and lives. Use for a tower-defense/wave-defense game, or balancing waves and economy.
A playbook for tower defense — enemy pathing, wave spawning, tower targeting, and the economy that ties them together. This is a **compositional** skill: it orchestrates pathing, AI, and UI into a TD loop. It does not re-teach pathfinding; it defines the systems and the balance levers (DPS vs. HP vs. income) that decide whether a TD is tense or trivial.
**waves of enemies** following a path, spends earned currency to expand/upgrade, and loses if too many enemies leak through.
**When _not_ to use:** the player directly controls a shooter → `fps-shooter`. Free-form base building with needs → `survival-crafting`. For the pathfinding algorithm itself, use `game-ai`.
**Prepare (place/upgrade towers with current gold) → start the wave → enemies path toward the goal while towers auto-fire → earn gold from kills → survive the wave → repeat against a harder one.** The tension is a planning puzzle: is my current DPS enough for what's coming, and can I afford the answer?
1. **Enemy path** — waypoint lanes, or grid + pathfinding for maze TD (refs). 2. **Wave spawner** — timed, scripted sequences of enemy types with per-wave scaling. 3. **Towers** — range, fire rate, damage, projectile/hitscan, splash; placement validity. 4. **Targeting** — per-tower priority (first/last/closest/strongest/weakest) (refs). 5. **Economy** — gold from kills + wave bonuses; tower/upgrade costs; sell refund. 6. **Lives / leak** — enemies reaching the goal cost lives; 0 = game over. 7. **Wave/prep UI** — lives, gold, next-wave preview, start-next-wave control.
| Knob | Effect | Notes | | ------------------------- | ----------------------- | ---------------------------------------- | | Enemy HP growth/wave | upgrade pressure | Geometric ~1.1–1.2× (refs). | | Income vs. HP curves | difficulty | Player should _almost_ afford each wave. | | Tower DPS / range / cost | tower identity | Cheap+wide vs. expensive+tall. | | Targeting priority | optimal placement | Changes play more than raw stats. | | Enemy variety | counters one-build wins | Fast / armored / flying / swarm / boss. | | Leak penalty | stakes | Cost lives _and_ lost bounty. | | Upgrade vs. build economy | strategy depth | Diminishing upgrade returns. | | Wave pacing | tension curve | Spike → breather → spike, not monotonic. |
# Pseudocode. A wave is data: a list of (enemy_type, count, spacing). Spawn over time.
wave = [ ("grunt", 10, 0.5), ("runner", 5, 0.3), ("tank", 2, 1.0) ]
def run_wave(wave):
for enemy_type, count, spacing in wave:
for _ in range(count):
spawn_enemy(enemy_type, at=path[0]) # enter at the path start
wait(spacing) # seconds between spawns (use a timer/coroutine)
# wave clears when all spawned enemies are dead or have leaked# Pseudocode. "First" (furthest along path) is the standard default for stopping leaks.
def acquire_target(tower, enemies, mode="first"):
in_range = [e for e in enemies if distance(tower.pos, e.pos) <= tower.range]
if not in_range: return None
if mode == "first": return max(in_range, key=lambda e: e.progress) # furthest along path (stop leaks)
if mode == "last": return min(in_range, key=lambda e: e.progress) # least progress (guard the entrance)
if mode == "closest": return min(in_range, key=lambda e: distance(tower.pos, e.pos))
if mode == "strongest":return max(in_range, key=lambda e: e.hp) # burn down tanks first
if mode == "weakest": return min(in_range, key=lambda e: e.hp) # secure kills / last-hit bounty
return in_range[0]# Pseudocode. One tower's damage to one enemy crossing its range. tower_dps = tower.damage * tower.fire_rate time_in_range = tower.range_coverage_length / enemy.speed damage_dealt = tower_dps * time_in_range # Lane holds if summed damage_dealt from covering towers >= enemy.hp (per enemy). See refs.
Tune the HP curve against the income curve (refs).
(armored vs. rapid-fire, flying vs. ground-only) and diminishing upgrade returns.
that sever the path; recompute paths when towers change (refs).
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