
Synchronization Algorithms
- 56 installs
- 30 repo stars
- Updated January 5, 2026
- pluginagentmarketplace/custom-plugin-game-developer
synchronization-algorithms is a Claude Code skill for ai & agent building.
About
synchronization-algorithms is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- synchronization-algorithms
- AI & Agent Building
- AI-coding skill
Synchronization Algorithms by the numbers
- 56 all-time installs (skills.sh)
- Ranked #6,668 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
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| Installs | 56 |
|---|---|
| repo stars | ★ 30 |
| Last updated | January 5, 2026 |
| Repository | pluginagentmarketplace/custom-plugin-game-developer ↗ |
How do I helps with ai & agent building tasks.?
Helps with ai & agent building tasks.
Who is it for?
Best when you're working on ai & agent building and need structured help with synchronization algorithms.
Skip if: Teams with no ai & agent building needs, or anyone wanting a generic chat assistant without this specific workflow.
When should I use this skill?
When you need to helps with ai & agent building tasks., or when synchronization-algorithms is a claude code skill for ai & agent building.
What you get
Structured output aligned to synchronization-algorithms: synchronization-algorithms, AI & Agent Building.
Files
Multiplayer Synchronization
Synchronization Techniques
┌─────────────────────────────────────────────────────────────┐
│ SYNC TECHNIQUES OVERVIEW │
├─────────────────────────────────────────────────────────────┤
│ CLIENT PREDICTION: │
│ → Execute input locally before server confirms │
│ → Feels responsive, requires reconciliation │
│ Best for: FPS, action games │
├─────────────────────────────────────────────────────────────┤
│ INTERPOLATION: │
│ → Display positions between known states │
│ → Smooth visuals, adds latency │
│ Best for: Other players, NPCs │
├─────────────────────────────────────────────────────────────┤
│ ROLLBACK NETCODE: │
│ → Rewind game state on correction │
│ → Re-simulate with corrected data │
│ Best for: Fighting games, precise timing │
├─────────────────────────────────────────────────────────────┤
│ LOCKSTEP: │
│ → All clients advance together │
│ → Deterministic, waits for slowest │
│ Best for: RTS, turn-based │
└─────────────────────────────────────────────────────────────┘Client Prediction & Reconciliation
PREDICTION FLOW:
┌─────────────────────────────────────────────────────────────┐
│ Frame N: │
│ 1. Capture input │
│ 2. Predict result locally (immediate response) │
│ 3. Store input + predicted state │
│ 4. Send input to server │
│ │
│ Frame N+RTT: │
│ 5. Receive server state for Frame N │
│ 6. Compare with stored prediction │
│ 7. If mismatch: RECONCILE │
│ a. Snap to server state │
│ b. Re-apply all inputs since Frame N │
│ c. Smooth correction to avoid visual pop │
└─────────────────────────────────────────────────────────────┘// ✅ Production-Ready: Prediction Buffer
public class PredictionBuffer
{
private const int BUFFER_SIZE = 128;
private readonly PredictionEntry[] _buffer = new PredictionEntry[BUFFER_SIZE];
public void Store(uint tick, InputPayload input, PlayerState predictedState)
{
int index = (int)(tick % BUFFER_SIZE);
_buffer[index] = new PredictionEntry
{
Tick = tick,
Input = input,
PredictedState = predictedState
};
}
public void Reconcile(uint serverTick, PlayerState serverState)
{
int index = (int)(serverTick % BUFFER_SIZE);
var entry = _buffer[index];
if (entry.Tick != serverTick) return; // Stale data
float error = Vector3.Distance(entry.PredictedState.Position, serverState.Position);
if (error < 0.01f) return; // Within tolerance
// Misprediction detected - reconcile
PlayerState currentState = serverState;
// Re-simulate all inputs since server tick
for (uint t = serverTick + 1; t <= CurrentTick; t++)
{
int idx = (int)(t % BUFFER_SIZE);
if (_buffer[idx].Tick == t)
{
currentState = SimulateInput(currentState, _buffer[idx].Input);
}
}
// Apply corrected state (with smoothing)
ApplyCorrectedState(currentState);
}
}Interpolation
INTERPOLATION BUFFER:
┌─────────────────────────────────────────────────────────────┐
│ RECEIVE: [State T-100ms] [State T-50ms] [State T-now] │
│ │
│ RENDER: Display interpolated position between T-100ms │
│ and T-50ms based on current render time │
│ │
│ WHY: Always have two states to interpolate between │
│ (render behind real-time by buffer amount) │
│ │
│ BUFFER SIZE: │
│ • Too small: Choppy when packets delayed │
│ • Too large: Everything feels delayed │
│ • Typical: 100-200ms for other players │
└─────────────────────────────────────────────────────────────┘Rollback Netcode
ROLLBACK FLOW (Fighting Games):
┌─────────────────────────────────────────────────────────────┐
│ 1. Execute frame with predicted opponent input │
│ 2. Store complete game state snapshot │
│ 3. When actual input arrives: │
│ a. If matches prediction: continue │
│ b. If mismatch: │
│ - Load snapshot from that frame │
│ - Re-simulate all frames with correct input │
│ - "Rollback" visual to corrected state │
│ 4. Hide rollbacks with animation tricks │
└─────────────────────────────────────────────────────────────┘
ROLLBACK LIMITS:
• Max rollback: 7-8 frames (~116ms at 60fps)
• Beyond: Game stutters or desyncs
• Input delay trade-off: 0-3 frames pre-delayLockstep Synchronization
LOCKSTEP (RTS Games):
┌─────────────────────────────────────────────────────────────┐
│ Frame 0: All clients send inputs │
│ Wait for all inputs │
│ Execute deterministically │
│ │
│ Frame 1: Repeat │
│ │
│ REQUIREMENTS: │
│ • Deterministic simulation (fixed-point math) │
│ • Synchronized RNG seeds │
│ • Identical execution order │
│ │
│ PROS: Minimal bandwidth (only inputs) │
│ CONS: Latency = slowest player, input delay │
└─────────────────────────────────────────────────────────────┘🔧 Troubleshooting
┌─────────────────────────────────────────────────────────────┐
│ PROBLEM: Visible rubber-banding │
├─────────────────────────────────────────────────────────────┤
│ SOLUTIONS: │
│ → Increase interpolation buffer │
│ → Smooth reconciliation (lerp, not snap) │
│ → Add visual damping │
│ → Check for consistent tick rate │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ PROBLEM: Clients desyncing │
├─────────────────────────────────────────────────────────────┤
│ SOLUTIONS: │
│ → Use fixed-point math │
│ → Sync random number seeds │
│ → Periodic full-state resync │
│ → Add state hash verification │
│ → Check floating-point determinism │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ PROBLEM: Too many rollbacks (fighting games) │
├─────────────────────────────────────────────────────────────┤
│ SOLUTIONS: │
│ → Add input delay frames (1-3) │
│ → Better input prediction │
│ → Limit max rollback frames │
│ → Disconnect players with bad connections │
└─────────────────────────────────────────────────────────────┘Technique Selection
| Game Type | Primary | Secondary | Latency Budget |
|---|---|---|---|
| FPS | Prediction | Interpolation | 50-100ms |
| Fighting | Rollback | Input delay | 50-80ms |
| RTS | Lockstep | - | 200-500ms |
| MMO | Interpolation | Prediction | 100-200ms |
| Racing | Prediction | Extrapolation | 50-100ms |
---
Use this skill: When building multiplayer systems, optimizing netcode, or fixing desync issues.
techniques:
- state_sync
- input_prediction
- lag_compensation
- rollback
Netcode Synchronization
Techniques
- State sync
- Input prediction
- Lag compensation
- Rollback netcode
#!/usr/bin/env python3
import json
def helper(): return {"techniques": ["state_sync", "prediction", "rollback"]}
if __name__ == "__main__": print(json.dumps(helper(), indent=2))
Related skills
FAQ
What does synchronization-algorithms do?
synchronization-algorithms is a Claude Code skill for ai & agent building.
When should I use synchronization-algorithms?
When you need to helps with ai & agent building tasks., or when synchronization-algorithms is a claude code skill for ai & agent building.
What are the main capabilities?
synchronization-algorithms; AI & Agent Building; AI-coding skill.