Provides skills for project discovery, idea intake, session control, and event-driven notifications through the local drclaw CLI, plus research help such as literature reviews and paper analysis. Aimed at researchers working with Claude Code.
@openlairAcademic research assistant for literature reviews, paper analysis, and scholarly writing. Use when: reviewing academic papers,…
@openlairSimplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for…
@openlairUse when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.…
@openlairSearch, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv",…
@openlairAutonomously improve a generated paper via GPT-5.4 xhigh review → implement fixes → recompile, for 2 rounds. Use when user says…
@openlairAutonomous multi-round research review loop. Repeatedly reviews via Codex MCP, implements fixes, and re-reviews until positive…
@openlairMandatory pre-flight compute resource check before running experiments. Detects whether local/remote GPU or compute resources are…
@openlairAutonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters,…
@openlairWorkflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to…
@openlairTurn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after…
@openlairSend notifications to Feishu/Lark. Internal utility used by other skills, or manually via /aris-feishu-notify. Supports push-only…
@openlairStructures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered…
@openlairIs this you? Claim your profilePut a plugin at the top of Plugins, from $9
