Game DevPROPRO REQUIREDFC-GDEV-005
Game Networking Claw
game-networking-claw
v0.2.0May 28, 2026Netcode that handles real conditions — tick rates, rollback reconciliation, delta compression, and lag compensation with packet traces
Multiplayer is not an add-on — it is a physics problem in a datacenter. I care about tick rate, interpolation buffers, server-authoritative state machines, client-side prediction with rollback reconciliation, and lag compensation with backwards hitbox validation. I will audit your netcode: RPC ordering guarantees, delta compression ratios under realistic packet loss, entity interest management (spatial hashing vs. grid bucketing), and whether your snapshot pipeline spikes at high player counts. I do not write "it depends"; I trace the packet from client to server and back, and tell you where the milliseconds go.
OpenClaw
Hermes
Claude Code
Codex
Cursor
Windsurf
Aider
OllamaPRIMARY ACTION
Unlock with ProCOMPATIBLE WITH
OpenClawHermesClaude CodeCodex+4
8 compatible tools4 output formats
When to Use
- Design a clear core gameplay loop
- Tune economy and progression curves
- Plan difficulty ramps and retention beats
- Turn playtest feedback into concrete changes
Compatible Frameworks
OpenClawHermesClaude CodeCodexCursorWindsurfAiderOllama8 TOOLs
Quality Gates
- Bandwidth within target per player
- Latency tolerance up to 200ms
- Server authority correctly scoped
- Reconnection handled gracefully
- Cheat vectors identified and mitigated
4 GATEs DEFINED
Expected Outputs
Network Profile Report with Frame-by-Frame Latency BreakdownRPC Audit Trace with Ordering and Redundancy AnalysisEntity Interest Management Efficiency Matrix (Spatial Hashing vs Grid)Client-Side Prediction Accuracy Score with Rollback Event Log
Native exports per tool
OpenClaw10 files
openclaw/AGENTS.mdopenclaw/SOUL.mdopenclaw/TOOLS.md+7 moreHermes5 files
hermes/skills/flickclaw/game-networking-claw/SKILL.mdhermes/skills/flickclaw/game-networking-claw/references/workflow.mdhermes/skills/flickclaw/game-networking-claw/references/quality-gates.md+2 moreClaude Code6 files
claude-code/CLAUDE.mdclaude-code/.claude/skills/game-networking-claw/SKILL.mdclaude-code/.claude/skills/game-networking-claw/references/workflow.md+3 moreCodex5 files
codex/AGENTS.mdcodex/.flickclaw/agents/game-networking-claw/codex.mdcodex/.flickclaw/agents/game-networking-claw/workflow.md+2 moreCursor3 files
cursor/.cursor/rules/flickclaw-game-networking-claw.mdccursor/.cursor/rules/flickclaw-game-networking-claw-workflow.mdccursor/.cursor/rules/flickclaw-game-networking-claw-quality-gates.mdcWindsurf3 files
windsurf/.windsurf/rules/flickclaw-game-networking-claw.mdwindsurf/.windsurf/rules/flickclaw-game-networking-claw-workflow.mdwindsurf/.windsurf/rules/flickclaw-game-networking-claw-quality-gates.mdAider3 files
aider/CONVENTIONS.mdaider/aider.mdaider/.aider.conf.ymlOllama4 files
ollama/Modelfileollama/system-prompt.mdollama/template.md+1 moreInstall Commands
Install the FlickClaw CLI, then select your AI agent framework below to get the correct install command.
Step 1: Install CLI (one-time)
npm install -g @flickclaw/cli@latestStep 2: Select Framework
OpenClaw
npm exec --yes @flickclaw/cli@latest -- install game-networking-claw --target openclawDownload as ZIP
Example Prompt
Try this prompt with Game Networking Claw to see what it can do:
Review this game concept for core loop clarity, progression pacing, economy balance, difficulty curve, retention risks, and playtest plan. Produce Network Profile Report with Frame-by-Frame Latency Breakdown, RPC Audit Trace with Ordering and Redundancy Analysis, Entity Interest Management Efficiency Matrix (Spatial Hashing vs Grid).Example Output
IllustrativeWhat a typical Game Networking Claw report looks like:
# Game Networking Claw — Assessment Report **Project**: cozy-farming-loop **Context**: a cozy farming game with crafting, relationship progression, and day-night pacing **Example type**: Illustrative output ## Executive Summary The Game Networking Claw completed its review of cozy-farming-loop (a cozy farming game with crafting, relationship progression, and day-night pacing). 3 findings were identified with concrete remediation steps. All quality gates were verified before delivery. ## Findings | # | Severity | Area | Finding | Recommended Action | |---|----------|------|---------|-------------------| | 1 | **P1** | Economy | Crop profit dominates crafting and makes relationship gifts irrelevant | Rebalance sell prices and add gift-exclusive progression rewards | | 2 | **P2** | Difficulty | Energy limits punish experimentation in the first 15 minutes | Increase early-game energy buffer and delay advanced resource sinks | | 3 | **P2** | Retention | Day-end summary lacks a clear next-session hook | Add tomorrow preview with one visible goal and one optional surprise | ## Quality Gates - [✓] rollback_reconciliation_test - [✓] packet_loss_simulation_complete - [✓] delta_compression_ratio_audit ## Outputs Generated - **Network Profile Report with Frame-by-Frame Latency Breakdown**: Included in the report above. - **RPC Audit Trace with Ordering and Redundancy Analysis**: Included in the report above. - **Entity Interest Management Efficiency Matrix (Spatial Hashing vs Grid)**: Included in the report above. - **Client-Side Prediction Accuracy Score with Rollback Event Log**: Included in the report above. ## Validation - [x] All quality gates passed (3/3) - [x] 3 findings documented with severity and remediation - [x] 4 output sections generated - [x] Evidence collected and referenced --- *This is an illustrative example output from FlickClaw. Results vary based on project context.*
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