Render cross-model fleet leaderboards from the local perf-report campaigns in ONE command (perftunereport fleetleaderboard): a latency tier (aa-1k/10k/100k tok/s/user + TTFT + cost at c=1/c=10), a throughput tier (peak tok/s/GPU per (model,quant,TP) with latency + $/1M-tok), and a decision capstone (the perf Pareto frontier across decode-latency x first-token x throughput, with the perf-dominated set and a hard PERF != quality caveat). Auto-discovers every model's AA + roofline cells in campaigns//atlas.jsonl, so re-running refreshes as new campaigns publish. Use to answer "which model do I pick" / "rank the fleet on latency/throughput/cost" / "is model X perf-dominated". Triggers on "fleet leaderboard", "which model should I use", "cross-model comparison", "rank the fleet", "model selection guide", "pareto frontier of models", "perftunereport fleetleaderboard", or any combination of "fleet / cross-model / which-model / leaderboard / pareto" with "latency / throughput / cost / pick / rank / compare".
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Render cross-model fleet leaderboards from the local perf-report campaigns in ONE command (perftunereport fleetleaderboard): a latency tier (aa-1k/10k/100k tok/s/user + TTFT + cost at c=1/c=10), a throughput tier (peak tok/s/GPU per (model,quant,TP) with latency + $/1M-tok), and a decision capstone (the perf Pareto frontier across decode-latency x first-token x throughput, with the perf-dominated set and a hard PERF != quality caveat). Auto-discovers every model's AA + roofline cells in campaigns//atlas.jsonl, so re-running refreshes as new campaigns publish. Use to answer "which model do I pick" / "rank the fleet on latency/throughput/cost" / "is model X perf-dominated". Triggers on "fleet leaderboard", "which model should I use", "cross-model comparison", "rank the fleet", "model selection guide", "pareto frontier of models", "perftunereport fleetleaderboard", or any combination of "fleet / cross-model / which-model / leaderboard / pareto" with "latency / throughput / cost / pick / rank / compare".
Quick start
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Render cross-model fleet leaderboards from the local perf-report campaigns in ONE command (`perftunereport fleet_leaderboard`): a latency tier (aa-1k/10k/100k tok/s/user + TTFT + cost at c=1/c=10), a throughput tier (peak tok/s/GPU per (model,quant,TP) with latency + $/1M-tok), and a decision capstone (the perf Pareto frontier across decode-latency x first-token x throughput, with the perf-dominated set and a hard PERF != quality caveat). Auto-discovers every model's AA + roofline cells in campaigns/*/atlas.jsonl, so re-running refreshes as new campaigns publish. Use to answer "which model do I pick" / "rank the fleet on latency/throughput/cost" / "is model X perf-dominated". Triggers on "fleet leaderboard", "which model should I use", "cross-model comparison", "rank the fleet", "model selection guide", "pareto frontier of models", "perftunereport fleet_leaderboard", or any combination of "fleet / cross-model / which-model / leaderboard / pareto" with "latency / throughput / cost / pick / rank / compare".
About this listing
Category
General
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI