Library Skill.md library
Each one names the GitHub repo it came from, so you can check exactly what it tells your AI to do.
274990 Skill.md files
--- name: respond-to-referee description: Structure point-by-point referee responses for the sewage-house-prices paper. Classifies each comment (NEW ANALYSIS / CLARIFICATION / REWRITE / DISAGREE / MINOR), produces a tracking document, drafts a response letter in LaTeX, and flags items needing new analysis or user judgment. This skill should be used when asked to "respond to referees", "draft revision", "address referee comments", or "R&R". ---
--- name: review-paper description: Simulated peer review of the sewage-house-prices manuscript. Dispatches 2 independent referee reviews (parallel) and an editorial decision (sequential). Produces referee reports and accept/revise/reject recommendation. This skill should be used when asked to "review the paper", "get feedback", "simulate peer review", or "what would referees say". ---
--- name: review-r description: R code review for the sewage project. Checks script structure, reproducibility, function design, figure quality, and professional polish against project conventions (here::here, arrow/parquet, fixest, modelsummary, native pipe). This skill should be used when asked to "review the code", "check my script", or "code review". ---
--- name: slide-excellence description: Multi-agent review for research presentation slides in the sewage-house-prices project (visual, econometric fidelity, proofreading, substance). Use for comprehensive quality check before milestones. ---
--- name: submit description: Final submission verification gate for the sewage-house-prices paper. Runs full paper excellence review, replication audit, enforces score gates, and generates cover letter draft and submission checklist. This skill should be used when asked to "submit", "prepare for submission", or "submission checklist". ---
--- name: target-journal description: Journal targeting analysis for the sewage-house-prices paper. Recommends ranked journal list across 3 tiers with formatting requirements, submission strategy, and desk rejection risk assessment. This skill should be used when asked to "target a journal", "where should we submit", "journal fit", or "submission strategy". ---
--- name: validate-bib description: Validate bibliography entries against citations in manuscript and Quarto book files. Find missing entries, unused references, potential typos, and quality issues. This skill should be used when asked to "check the bibliography", "validate citations", or "validate-bib". ---
--- name: ablation-planner description: Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements. ---
--- name: analyze-results description: Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data. ---
--- name: arxiv description: 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. ---
--- name: auto-paper-improvement-loop description: Autonomously improve a generated paper via GPT-5.4 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. ---
--- name: auto-review-loop-llm description: 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". ---
--- name: auto-review-loop-minimax description: 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". ---
--- name: auto-review-loop description: Autonomous multi-round research review loop. Repeatedly reviews via Codex MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement. ---
--- name: comm-lit-review-claude-single description: 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 landscape summary. Search Zotero, Obsidian, and local paper folders first when available, then search IEEE Xplore, ScienceDirect, ACM Digital Library, and broader web in that order. ---
--- name: dse-loop description: 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. ---
--- name: experiment-bridge description: 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. ---
--- name: experiment-plan description: 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. ---
--- name: feishu-notify description: Send notifications to Feishu/Lark. Internal utility used by other skills, or manually via /feishu-notify. Supports push-only (webhook) and interactive (bidirectional) modes. Use when user says "发飞书", "notify feishu", or other skills need to send status updates. ---
--- name: grant-proposal description: 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 into a funding application. ---
--- name: idea-creator description: 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. ---
--- name: idea-discovery-robot description: 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, drones, humanoids, or general robot learning. ---
--- name: idea-discovery description: Workflow 1: Full idea discovery pipeline. Orchestrates research-lit → idea-creator → novelty-check → research-review 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. ---
--- name: monitor-experiment description: Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output. ---
