2,387 skills found · Page 14 of 80
xerj-org / xerjAI search engine and MCP server for bots and agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG. Elasticsearch-compatible API; Corpus Hub serves hundreds of reference memory corpora.
browser-use / browser-harnessLet Claude Code, Codex or Cursor use your real Chrome, logged in as you. One prompt to set up. Open source, MIT.
nukeop / nuclearStreaming music player that finds free music for you
wanshuiyin / Auto-claude-code-research-in-sleepARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
wanshuiyin / kill-argumentTwo-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo, then a second fresh reviewer defends the paper point-by-point and surfaces still-unresolved critical issues
wanshuiyin / citation-auditZero-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
wanshuiyin / experiment-auditAudit 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
wanshuiyin / experiment-bridgeWorkflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results
wanshuiyin / interview-cheatsheetGenerate 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)
wanshuiyin / meta-optimizeAnalyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Outer-loop harness optimization inspired by Meta-Harness (Lee et al., 2026)
wanshuiyin / paper-claim-auditZero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh cross-model reviewer with NO prior context to prevent confirmation bias
wanshuiyin / paper-illustration-image2Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation.
wanshuiyin / paper-illustrationGenerate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Claude-supervised iterative refinement loop
wanshuiyin / paper-slidesGenerate conference presentation slides (beamer LaTeX → PDF + editable PPTX) from a compiled paper, with speaker notes and full talk script
wanshuiyin / patent-pipelineFull patent drafting pipeline from invention description to jurisdiction-formatted filing documents. Supports CN (CNIPA), US (USPTO), EP (EPO). Supports invention patents and utility models
wanshuiyin / research-pipelineFull end-to-end research pipeline: from a broad research direction through idea discovery, experiments, and review all the way to a polished paper PDF
wanshuiyin / research-refineTurn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-6-Astra review
wanshuiyin / research-wikiPersistent research knowledge base that accumulates papers, ideas, experiments, claims, and their relationships across the entire research lifecycle. Inspired by Karpathy's LLM Wiki pattern
wanshuiyin / result-to-claimUse when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. Codex MCP evaluates results against intended claims and routes to next action (pivot, supplement, or confirm).
wanshuiyin / auto-review-loop-llmAutonomous 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".
wanshuiyin / figure-specGenerate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG
wanshuiyin / proof-orchestratorManage a stateful, run-directory-based proof project: continuation across runs, run-local source bookkeeping, manual GPT Pro handoff packages when a local attempt stalls, and an optional DeepSeek second opinion as additional evidence only
wanshuiyin / rebuttalWorkflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds
wanshuiyin / research-reviewGet a deep critical review of research from a selected reviewer (Codex by default, Gemini, Grok, Claude Code, or manual)
wanshuiyin / auto-review-loop-minimaxAutonomous multi-round research review loop using MiniMax API
wanshuiyin / idea-discoveryWorkflow 1: Full idea discovery pipeline to go from a broad research direction to validated, pilot-tested ideas
wanshuiyin / paper-figureGenerate publication-quality figures and tables from experiment results
wanshuiyin / paper-planGenerate a structured paper outline from review conclusions and experiment results
wanshuiyin / gemini-searchSearch research papers via Gemini for broad literature discovery
wanshuiyin / specification-writingWrite the full patent specification from claims and invention disclosure
