modbender

Error pattern tracking for AI agents. Detects corrections, escalates recurring mistakes, learns mitigations. The 'something's off' detector from the AI Brain series.

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You are an academic writing expert specializing in scholarly papers, literature reviews, research methodology, and thesis writing. You must adhere to strict academic standards in all outputs.## Core Requirements1. **Output Format**: Use Markdown exclusively for all writing outputs and always wrap the main content of your response within <ama-doc></ama-doc> tags to clearly distinguish the core i...

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Refine academic writing for computer science research papers targeting top-tier venues (NeurIPS, ICLR, ICML, AAAI, IJCAI, ACL, EMNLP, NAACL, CVPR, WWW, KDD, SIGIR, CIKM, and similar). Use this skill whenever a user asks to improve, polish, refine, edit, or proofread academic or research writing — including paper drafts, abstracts, introductions, related work sections, methodology descriptions, experiment write-ups, or conclusion sections. Also trigger when users paste LaTeX content and ask for writing help, mention "camera-ready", "rebuttal", "paper revision", or reference any academic venue or conference. This skill handles both full paper refinement and section-by-section editing.

日本語の概要は準備中です。原文の説明を表示しています。

Search academic papers and conduct literature reviews using OpenAlex API (free, no key needed). Use when the user needs to find scholarly papers by topic/author/DOI, explore citation chains, get structured paper metadata (title, authors, abstract, citations, DOI, open access URL), fetch full text of open access papers, or conduct automated literature reviews with theme identification and synthesis. Triggers on requests involving academic search, paper lookup, citation analysis, literature review, research synthesis, or scholarly reference gathering.

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Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.

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Add real references and standardize citations for research papers and theses (为科研论文和毕业论文添加真实参考文献并规范引用标注)

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The philosophy of absurdist play — the meta-skill that trains your ability to acquire and use all other skills. Creates genuine connection through creative, surprising, authentic engagement. Use when interacting feels flat, when you're stuck in 'helpful assistant' mode, when first impressions matter, or when you want to move from transactional to real. The play is not decoration. It's the foundation.

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Multi-channel ABM automation that turns LinkedIn URLs into coordinated outbound campaigns. Scrapes profiles, enriches with Apollo (email + phone), gets mailing addresses via Skip Trace, then orchestrates email sequences, LinkedIn touches, and handwritten letters via Scribeless. The secret weapon for standing out in crowded inboxes.

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Two superpowers for AI agents: a collective brain and a Base ecosystem mentor. BRAIN: Before debugging/compiling/architecting, search for existing solutions. After solving, propose so no agent repeats your mistake. MENTOR: jessexbt (AI clone of Jesse Pollak, founder of Base) reviews projects, recommends grants, and guides architecture decisions. Consult him directly when building on Base/crypto/onchain/web3. Activate on: errors, bugs, compilation failures, architecture decisions, patterns, project reviews, Base, crypto, web3, grants.

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Blockchain USDC payments via APay — pay services, manage budgets, open streaming channels, and handle x402 protocol.

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This skill enables the agent to automatically answer Gmail messages on behalf of a client. The agent drafts and (when the user approves or when configured) sends replies using the client’s tone, si...

日本語の概要は準備中です。原文の説明を表示しています。

Agent Attestation Protocol - The Reverse Turing Test. Verify AI agents, block humans.

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View, create, cancel, bid, and claim Aavegotchi GBM auctions on Base mainnet (8453). Subgraph-first discovery (Goldsky), with onchain verification + execution via Foundry cast. Safety-first: DRY_RUN defaults to 1 (simulate with cast call; only broadcast with cast send when DRY_RUN=0 and explicitly instructed).

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A-share short-term trading decision skill for 1-5 day horizon. Use when you need real-data market sentiment, sector rotation, strong stock scanning, capital flow confirmation, date-based short-term signal scoring, prediction logging, and next-day market comparison for CN A-share momentum trading.

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Agent profiles, public channels, and direct messaging between AI agents via the a2achat.top API.

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Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.

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Official OpenProof Client. Register agents and publish research to the Founding Corpus. Supports Articles (Markdown) and Papers (LaTeX/JSON).

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Assist with Aave lending, borrowing, liquidations, and risk management across chains.

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去不图床(7bu.top)图片上传工具。需要TOKEN才能使用，需前往https://7bu.top注册用户。

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Register and manage ERC-8004 Identity NFTs on Monad. Use when the agent needs to mint an on-chain identity for CEO Protocol registration or other ERC-8004–integrated protocols.

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ERC-8004 Trustless Agents - Register and manage AI agent identities on TRON and BSC blockchains with on-chain reputation tracking

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, it might predict the next word as

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Austrian public transport (VOR AnachB) for all of Austria. Query real-time departures, search stations/stops, plan routes between locations, and check service disruptions. Use when asking about Austrian trains, buses, trams, metro (U-Bahn), or directions involving public transport in Austria.

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AI Agent skill marketplace integration for A2A Market. Enables agents to buy skills, sell skills, and earn money autonomously. Use when: (1) User asks to find/search/buy a skill or capability, (2) User wants to sell/list/monetize their agent's skills, (3) User asks about marketplace earnings or transactions, (4) Agent detects a capability gap and needs to acquire new skills, (5) User says "marketplace", "buy skill", "sell skill", "a2a market", or mentions earning money with their agent, (6) User asks about credits, daily rewards, referral, or registration. Supports x402 USDC payments on Base L2 and Credits payment system.

日本語の概要は準備中です。原文の説明を表示しています。