Install
$ agentstack add skill-mrcalderon3d-everything-game-dev-code-performance-budgeting ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Performance Budgeting
Purpose
Set and manage frame, load, memory, streaming, or bandwidth budgets before performance debt becomes structural.
Use When
- target hardware is defined
- performance problems are emerging
- content scale is increasing
Inputs
- target platforms
- feature set
- technical architecture
- content assumptions
Process
- set budgets by platform and major runtime mode
- allocate budget ownership by system or content class
- choose representative benchmark scenarios
- review regressions at milestone checkpoints
- link descopes or optimization work to measured overages
Outputs
- budget sheet
- owner-by-budget map
- benchmark scenarios
- regression review cadence
Quality Bar
- budgets are set per system (frame time, memory, draw calls, asset sizes) against the weakest target device
- every budget has an owner and a repeatable measurement method
- regressions are caught by measurement at integration time, not discovered in QA
- budget exceptions are negotiated and recorded, not silently absorbed
Common Failure Modes
- budgets defined as totals with no per-system allocation, so no one owns overruns
- profiling only on developer hardware, missing the real target floor
- performance treated as a polish-phase task instead of a standing budget
- one-off optimizations that decay because no measurement guards them
Related Agents
- performance-reviewer
- producer
- technical-artist
Related Commands
- perf-budget
- verify
- release-check
Notes
- Keep this skill aligned with the relevant rules layer and current project documentation.
- If engine-specific constraints materially change the workflow, hand off to the matching engine skill or engine-specific reviewer.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: MRCalderon3D
- Source: MRCalderon3D/everything-game-dev-code
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.