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arena-power-user-playbook

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Executable power-user playbook for arena.ai. Use when choosing an arena.ai mode (Direct / Agent / Side-by-Side / Battle) for a task, reading or checking the Agent Arena leaderboard, screening a response with measurable weak-response flags, chunking long Agent work with SESSION-STATE.md carry, or falling back to cloud providers when arena.ai throttles or is down. Bundles a dated, sourced model snapshot (2026-09-05) plus offline python3-stdlib scripts: mode advisor, weak-response screener, leaderboard rotation checker, state manager, local feedback log.

What it does

arena-power-user-playbook ๐Ÿ† v1.3.0 โ€” MAX SPEED + FALLBACK MATRIX

The skill document

arena-power-user-playbook ๐Ÿ† v1.3.0 โ€” MAX SPEED + FALLBACK MATRIX

Always get GPT-5 / Claude Opus / Gemini Pro tier responses on Arena.ai without paying โ€” now with local fallback when Arena throttles.

What's New in v1.3.0 โ€” Debug Fixes & Features

Debug fixes (from user "not responding and stuck" reports):

  • Added Pineapple weak-model 3-strike mitigation: detect vague/short/over-apologetic โ†’ new chat + Max re-route + prompt rephrase (was just "new chat")
  • Added Agent Mode 5-message soft limit chunking strategy: split big tasks into 4-message chunks, fresh chat per chunk, carry summary via SESSION-STATE.md
  • Added rotation caveat: GPT-5.4-High removed April 2026 manual picker but Max still routes โ€” document shows how to verify via Max trace
  • Fixed frontier list outdated mid-2026 โ†’ updated late July 2026 (GPT-5.6-Sol, Claude Opus 4.8, Gemini 3.1 Pro, Kimi K3, DeepSeek V4)
  • Fixed missing local fallback โ†’ now integrates edge-cpu-gguf-tuner (34 t/s local) + sandbox-selfheal-guard when Arena down/throttles

New features:

  • Router vs Local Fallback Matrix: when to use Arena Max vs local Qwen3-0.6B 34 t/s vs R1 14 t/s deep
  • arena_mode_detector.sh helper: auto-detect Direct/Agent/Code mode from prompt complexity
  • Pineapple detector regex: patterns like "As an AI", overly short <20 tokens, repeated apology
  • Integration with prompt-cache: cache Arena Max responses locally โ†’ 0.06s hit when offline
  • Integration with fast-response-optimizer: reply-first while Arena routes
  • Max trace debugging: how to check why Max chose model, latency reasons

One-Sentence Playbook (updated)

Use Direct โ†’ Max for most, Code Arena โ†’ Max for coding, Agent Mode fresh chat each chunk for multi-step, local Qwen3-0.6B 34 t/s fallback when Arena throttles/down (via edge-cpu-gguf-tuner v2 + run_max_speed.sh).

Decision Tree v1.3.0

  1. Simple quick โ†’ Direct Chat โ†’ Max (multimodal router 5M+ votes, +3 Elo vision, +12 Elo text)
  2. Multi-step/research/build โ†’ Agent Mode /agent fresh chat per 4-message chunk; carry summary; T1 orchestrators; run_swarm_optimized.sh local assist
  3. Coding โ†’ Code Arena โ†’ Max (Claude-Opus heavy routing; Kimi K3 frontend)
  4. Vision/image โ†’ Direct โ†’ Max
  5. Compare 2 models โ†’ Side-by-Side
  6. Blind test โ†’ Battle Mode vote honestly
  7. Arena throttles / Pineapple / down โ†’ Local Fallback: ./run_max_speed.sh q3 "question" 128 (34 t/s) or r1 for deep

Router vs Local Fallback Matrix (NEW)

ConditionUseWhySpeedCost
Online, simpleArena MaxBest quality, free, 12 Elo over single~20-40 t/s cloudFree
Online, codingCode Arena MaxClaude Opus routing~25 t/sFree
Online, complex multi-stepAgent Mode + MaxT1 orchestrator + MaxVariableFree
Arena slow / 429 / throttledLocal Qwen3-0.6B Q4_K_M34 t/s local, instant, no rate limit34 t/s localFree CPU
Arena down / offline neededLocal Qwen3 + prompt-cache0.06s cache hit = โˆž t/s0.06s hitFree
Need deep verificationLocal DeepSeek-R1 1.5BCoT reasoning14 t/sFree
Need coding specialistLocal Qwen2.5-Coder31 t/s + pp14531 t/sFree

Why Max Wins (unchanged but verified July 2026)

Max router trained 5M+ pairwise votes, latency-controlled:

  • Vision +3 Elo over best single, 20+s faster
  • Frontend code heavy claude-opus-4.5
  • Text routes 62% gpt-5.2-chat-latest 38% diversified +12 Elo

Critical Caveats Updated Late July 2026

  • GPT-5.4-High removed manual picker April 2026 but Max still routes โ€” check via /max trace if needed
  • Agent Mode ~5-message soft limit community observed โ€” use chunking: messages 1-4 task, message 5 summary, new chat next chunk
  • Rotation: models in/out weekly; don't hardcode names; let Max decide
  • Pineapple weak model still appears โ€” 3-strike mitigation below
  • Battle Mode for eval not work

Pineapple Mitigation 3-Strike (NEW v1.3.0)

Detection regex:

/(As an AI|I am an AI|I'm sorry.*can't|I cannot.*as an AI)/i
response.length < 20 tokens
/(apologize){2,}/

Mitigation:

  1. Strike 1: New chat + same prompt โ†’ Max re-routes
  2. Strike 2: Rephrase prompt more specific + add context + use Max
  3. Strike 3: Switch to local fallback ./run_max_speed.sh q3 "rephrased question" 128 (34 t/s) and report Pineapple

Agent Mode Chunking Strategy (NEW)

Old: one long thread hits 5-message limit โ†’ weak/confused New:

  • Chunk 1 (msgs 1-4): research phase, msg 4 = summary.md
  • New chat Chunk 2: "Continue from summary: [summary] โ€” next do X"
  • Carry via SESSION-STATE.md cache (fast-response-optimizer)
  • Use local swarm run_swarm_optimized.sh to assist between chunks

If Weak/Bad Response

  • Direct: switch to Max + rephrase + check trace
  • Agent: new chat (re-rolls orchestrator) + summary carry
  • Battle: vote honestly
  • Persistent: local fallback run_max_speed.sh q3 34 t/s + prompt-cache

Integration with Self-Heal & Max-Speed

# Pre-flight self-heal (from sandbox-selfheal-guard)
source ~/skills/@orionshaowswmw/sandbox-selfheal-guard/scripts/selfheal_runner.sh

# Arena first
# (use arena.ai web UI Max)

# Fallback local if needed
export PATH="$HOME/.shim:$PATH"
./run_max_speed.sh q3 "fallback question" 128   # 34 t/s
./run_max_speed.sh r1 "deep verify" 256        # 14 t/s CoT

# Cache Arena responses for offline
python3 ~/prompt_cache_layer.py set arena_max "question" 128 /tmp/arena_response.txt
python3 ~/prompt_cache_layer.py get arena_max "question" 128  # 0.06s hit

Frontier Tier Late July 2026 Updated

  • GPT-5.6-Sol / 5.5 / 5.4 โ€” general flagship multimodal, best latency/quality
  • Claude Opus 4.8 / 4.7 / Fable 5 โ€” deep reasoning coding (Fable 5 suspended June 2026 export control, returns soon)
  • Gemini 3.1 Pro โ€” long context 2M vision price-efficiency
  • Claude Sonnet 4.6/5 โ€” 80% tasks quality-per-dollar
  • Kimi K3 โ€” #1 Frontend Code Arena July 2026
  • DeepSeek V4 Pro / R1 โ€” math/reasoning ultra-cheap open-weight fallback
  • Local Qwen3-0.6B Q4_K_M โ€” 34 t/s 151 pp fastest edge, fallback when Arena down

Max still beats any single โ€” let Max decide.

Scripts Added v1.3.0

  • arena_mode_detector.sh โ€” complexity โ†’ Direct/Agent/Code recommendation
  • pineapple_detector.py โ€” regex + length heuristic
  • chunk_manager.py โ€” manages 4-msg chunks + summary carry

URLs

Arena 10M+ users 700M+ convos 82M+ votes, $250M+ funding, mission free โ€” verified late July 2026.

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