minecraft-llm-agent-community

Review real Minecraft LLM agent runs from transcript files, canonical runtime artifacts, social-cycle reports, actor workspaces, logs, Langfuse traces, human-visible behavior notes, and code diffs, then infer concrete implementation flaws and next fixes. Use for prompts like "review this agent run", "extract implementation insights from the run", "analyze the NPC behavior loop", "review the 100-cycle result", "why did the NPC stall?", "the matrix broke at 12/12", "collectLogs stopped at 3/4", "the screenshots look wrong", "review visual evidence", or "use Langfuse traces to propose runtime fixes" after Minecraft runtime, action-skill, Actor Turn, generated Mineflayer, social-cycle runs, or embodied co-actor legibility session runs.

Judge and design meaningful research directions for this Minecraft LLM-agent project before implementation. Use for prompts about "research direction", "research gap", "paper-worthy", "experiment design", "legibility", "co-actor", "observer prediction", "논문감", "연구 가치", "실험 설계", "유의미한 연구 주제", or historical WAM/F-native/F-loop/F-society plans that need re-evaluation under the current active plan. Trigger when a plan hides behind verified/structured/validated instead of proving a substantive claim.

Write, review, validate, or prepare Minecraft runtime run reports, HTML/static reports, model-comparison summaries, Qwen/OpenAI/Gemini writeups, visual evidence reports, public artifact summaries, or Korean/English "보고서" requests from this repo's social-cycle, action-skill, provider, visual, or embodied co-actor legibility artifacts including transition-row, public-history, experiment-declaration, prediction, and score-report bundles. Use before drafting report prose or publishing experiment conclusions.

Generate or review bounded Mineflayer TypeScript action skill candidates for this repo's Actor Turn `author_mineflayer_action` path. Use when writing generated source, helper allowlists, input schemas, verifiers, timeouts, or Mineflayer behavior notes for actor-owned action skills.

Use before any live provider-backed Minecraft run, LLM/provider benchmark, model availability decision, quota reset check, model-comparison lane, report rerun, long social-cycle run, OpenAI/Gemini/ModelScope smoke, or provider budget/429/auth issue. Checks requested provider/model candidates across OpenAI, Gemini, and ModelScope using reset windows, local usage ledger, built-in policy matrix, local emergency brakes, dashboard approval state, and whole-run request/token estimates. Trigger for Korean/English prompts like "quota 확인", "초기화됐는지", "run gpt/qwen/gemini benchmark", "사용 가능한 모델인지 체크", and "provider preflight".