Auto-claude-code-research-in-sleep

In the author's own words, from each skill's SKILL.md — showing the first 30 of 189 files.

• ablation-planner

  Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.

  skills/ablation-planner/SKILL.md on GitHub (opens in a new tab)

• alphaxiv

  Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.

  skills/alphaxiv/SKILL.md on GitHub (opens in a new tab)

• analyze-results

  Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.

  skills/analyze-results/SKILL.md on GitHub (opens in a new tab)

• arxiv

  Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.

  skills/arxiv/SKILL.md on GitHub (opens in a new tab)

• auto-paper-improvement-loop

  Autonomously improve a generated paper via GPT-6-Astra xhigh review → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.

  skills/auto-paper-improvement-loop/SKILL.md on GitHub (opens in a new tab)

• auto-review-loop-llm

  Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".

  skills/auto-review-loop-llm/SKILL.md on GitHub (opens in a new tab)

• auto-review-loop-minimax

  Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".

  skills/auto-review-loop-minimax/SKILL.md on GitHub (opens in a new tab)

• auto-review-loop

  Autonomous multi-round research review loop. In Copilot CLI it defaults to the native complementary rubber-duck subagent with host-event model evidence; elsewhere it uses Codex, while explicit external reviewer overrides remain available. Implements fixes and re-reviews until a policy-approved positive assessment or max rounds is reached.

  skills/auto-review-loop/SKILL.md on GitHub (opens in a new tab)

• citation-audit

  Zero-context verification that every bibliographic entry in the paper is real, correctly attributed, and used in a context the cited paper actually supports — catching hallucinated authors, wrong years, fabricated venues, version mismatches, and wrong-context citations. Use when user says "审查引用", "check citations", "citation audit", "verify references", "引用核对", or before submission to ensure bibl…

  skills/citation-audit/SKILL.md on GitHub (opens in a new tab)

• claims-drafting

  Draft patent claims for an invention. Use when user says "撰写权利要求", "draft claims", "写权利要求书", "claim drafting", or wants to create patent claims. The core skill of the patent pipeline.

  skills/claims-drafting/SKILL.md on GitHub (opens in a new tab)

• comm-lit-review

  Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, related work, a survey, or a la…

  skills/comm-lit-review/SKILL.md on GitHub (opens in a new tab)

• deepxiv

  Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.

  skills/deepxiv/SKILL.md on GitHub (opens in a new tab)

• dse-loop

  Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says "DSE", "design space exploration", "sweep parameters", "optimize", "find best config", or wants iterative parameter tuning.

  skills/dse-loop/SKILL.md on GitHub (opens in a new tab)

• embodiment-description

  Write detailed embodiment descriptions for patent specifications. Use when user says "撰写实施例", "write embodiment", "实施例描述", "detailed description", or wants to describe how to practice an invention.

  skills/embodiment-description/SKILL.md on GitHub (opens in a new tab)

• exa-search

  AI-powered web search via Exa with content extraction. Use when user says "exa search", "web search with content", "find similar pages", or needs broad web results beyond academic databases (arXiv, Semantic Scholar).

  skills/exa-search/SKILL.md on GitHub (opens in a new tab)

• experiment-audit

  Audit experiment integrity before claiming results. Uses cross-model review (external reviewer backend) to check for fake ground truth, score normalization fraud, phantom results, and insufficient scope. Use when user says "审计实验", "check experiment integrity", "audit results", "实验诚实度", or after experiments complete before writing claims.

  skills/experiment-audit/SKILL.md on GitHub (opens in a new tab)

• experiment-bridge

  Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.

  skills/experiment-bridge/SKILL.md on GitHub (opens in a new tab)

• experiment-plan

  Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.

  skills/experiment-plan/SKILL.md on GitHub (opens in a new tab)

• experiment-queue

  SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says "batch experiments", "队列实验", "run grid", "multi-seed sweep", "auto-chain experiments", or when /run-experiment is insufficient for 10+ jobs that need orchestration.

  skills/experiment-queue/SKILL.md on GitHub (opens in a new tab)

• feishu-notify

  Send notifications to Feishu/Lark. Internal utility used by other skills, or manually via /feishu-notify. Use when user says "发飞书", "notify feishu", or other skills need to send status updates.

  skills/feishu-notify/SKILL.md on GitHub (opens in a new tab)

• figure-description

  Process user-provided patent figures and generate formal drawing descriptions. Use when user says "附图处理", "figure description", "附图说明", "drawings description", or wants to describe patent figures with reference numerals.

  skills/figure-description/SKILL.md on GitHub (opens in a new tab)

• figure-spec

  Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG. Use when user says "架构图", "workflow 图", "pipeline 图", "确定性矢量图", "figure spec", "draw architecture", or needs precise, editable, publication-ready vector diagrams. Preferred over AI illustration for formal architecture/workflow figures.

  skills/figure-spec/SKILL.md on GitHub (opens in a new tab)

• formula-derivation

  Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theo…

  skills/formula-derivation/SKILL.md on GitHub (opens in a new tab)

• gemini-search

  Search research papers via Gemini for broad literature discovery. Use when user says "gemini search", "gemini papers", "search with gemini", or wants AI-powered literature discovery beyond arXiv/Semantic Scholar indexes.

  skills/gemini-search/SKILL.md on GitHub (opens in a new tab)

• grant-proposal

  Draft a structured grant proposal from research ideas and literature. Supports KAKENHI (Japan), NSF (US), NSFC (China, including 面上/青年/优青/杰青/海外优青/重点), ERC (EU), DFG (Germany), SNSF (Switzerland), ARC (Australia), NWO (Netherlands), and generic formats. Use when user says "write grant", "grant proposal", "申請書", "write KAKENHI", "科研費", "基金申请", "写基金", "NSF proposal", or wants to turn research ideas…

  skills/grant-proposal/SKILL.md on GitHub (opens in a new tab)

• idea-creator

  Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.

  skills/idea-creator/SKILL.md on GitHub (opens in a new tab)

• idea-discovery-robot

  Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says "robotics idea discovery", "机器人找idea", "embodied AI idea", "机器人方向探索", "sim2real 选题", or wants ideas for manipulation, locomotion, navigation, dr…

  skills/idea-discovery-robot/SKILL.md on GitHub (opens in a new tab)

• idea-discovery

  Workflow 1: Full idea discovery pipeline to go from a broad research direction to validated, pilot-tested ideas. Use when user says "找idea全流程", "idea discovery pipeline", "从零开始找方向", or wants the complete idea exploration workflow.

  skills/idea-discovery/SKILL.md on GitHub (opens in a new tab)

• integrity-forensics

  Run the Anti-Autoresearch integrity-forensics sweep (span-anchored evidence ledger → GPT auditors propose findings → a rules-only reporter that lists every proposal with what the auditor said about it) against a paper via a SHA-pinned thin launcher — then convert the verdict into a typed policy gate (BLOCK/WARN/NO_NEW_BLOCKER) and an append-only obligations ledger. Use when user says "integrity f…

  skills/integrity-forensics/SKILL.md on GitHub (opens in a new tab)

• interview-cheatsheet

  Generate a long-form Chinese interview-prep cheat sheet on a specific ML/LLM topic — formulas with derivations, from-scratch PyTorch code, comparison tables, and 25 高频面试题 (L1 必会 / L2 进阶 / L3 顶级 lab). Use when the user says '写面试 cheat sheet', '写一份 X 教程', '帮我准备 Y 面试题', '出一份 X 速查', or wants a 600-1000 line Chinese tutorial on a specific ML topic.

  skills/interview-cheatsheet/SKILL.md on GitHub (opens in a new tab)

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