Write DeepScientist-aware implementation, experiment-roadmap, code-only, and formal-command plans with TDD and durable quest outputs.
原文の言語: 英語
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このリポジトリの skills
SkillsMP は Rycen7822/DeepScientist-hermes から 73 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
Rycen7822/DeepScientist-hermes収集済み skill 73 件中 33 件を表示しています。
Write DeepScientist-aware implementation, experiment-roadmap, code-only, and formal-command plans with TDD and durable quest outputs.
原文の言語: 英語
Use Hermes as the native DeepScientist research agent. Load when operating a DeepScientist quest, creating/continuing research state, recording project memory/artifacts, or explaining the plugin workflow.
原文の言語: 英語
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.
原文の言語: 英語
Use when a quest needs a polished milestone chart, paper-facing figure, appendix figure, or a mandatory render-inspect-revise pass before treating a figure as final.
原文の言語: 英語
Use when a quest needs concrete hypotheses, limitation analysis, candidate directions, or a selected idea relative to the active baseline.
原文の言語: 英語
Use when a DeepScientist quest needs quest-local paper retrieval, arXiv/OpenReview PDF reading, or official resource verification without clipping into llm-wiki.
原文の言語: 英語
Verify scholarly-paper reliability for AI-scientist agents by checking citation counts, venue level, journal level, publication type, and retraction/update status.
原文の言語: 英語
Use when paper-reliability-verifier needs to infer whether an NLP/CL paper is indexed in ACL Anthology and extract its ACL/EMNLP/NAACL/EACL/AACL/TACL publication venue before local rank lookup.
原文の言語: 英語
Use when paper-reliability-verifier needs to infer whether a CS paper is indexed by DBLP as a conference or journal publication before local CCF/CORE/中科院分区/JCR rank lookup.
原文の言語: 英語
Use when paper-reliability-verifier needs to verify acceptance and presentation type for OpenReview-hosted venues such as ICLR, TMLR, COLM, or related workshops before local rank lookup.
原文の言語: 英語
Strict literature research mode for DeepScientist quests: broad candidate scouting first, reliability verification, conservative filtering, quest-local PDF download, then iterative bibliography reading notes before answering/writing.
原文の言語: 英語
Use when a quest needs a polished milestone chart, paper-facing figure, appendix figure, or a mandatory render-inspect-revise pass before treating a figure as final.
原文の言語: 英語
Use when a quest needs concrete hypotheses, limitation analysis, candidate directions, or a selected idea relative to the active baseline.
原文の言語: 英語
Use when a DeepScientist quest needs quest-local paper retrieval, arXiv/OpenReview PDF reading, or official resource verification without clipping into llm-wiki.
原文の言語: 英語
Verify scholarly-paper reliability for AI-scientist agents by checking citation counts, venue level, journal level, publication type, and retraction/update status.
原文の言語: 英語
Strict literature research mode for DeepScientist quests: broad candidate scouting first, reliability verification, conservative filtering, quest-local PDF download, then iterative bibliography reading notes before answering/writing.
原文の言語: 英語
Use when a DeepScientist quest needs quest-local paper retrieval, arXiv/OpenReview PDF reading, or official resource verification without clipping into llm-wiki.
原文の言語: 英語
Verify scholarly-paper reliability for AI-scientist agents by checking citation counts, venue level, journal level, publication type, and retraction/update status.
原文の言語: 英語
Use when paper-reliability-verifier needs to infer whether an NLP/CL paper is indexed in ACL Anthology and extract its ACL/EMNLP/NAACL/EACL/AACL/TACL publication venue before local rank lookup.
原文の言語: 英語
Use when paper-reliability-verifier needs to infer whether a CS paper is indexed by DBLP as a conference or journal publication before local CCF/CORE/中科院分区/JCR rank lookup.
原文の言語: 英語
Use when paper-reliability-verifier needs to verify acceptance and presentation type for OpenReview-hosted venues such as ICLR, TMLR, COLM, or related workshops before local rank lookup.
原文の言語: 英語
Strict literature research mode for DeepScientist quests: broad candidate scouting first, reliability verification, conservative filtering, quest-local PDF download, then iterative bibliography reading notes before answering/writing.
原文の言語: 英語
Use when a quest needs to attach, import, reproduce, repair, verify, compare, or publish a baseline and its metrics.
原文の言語: 英語
Use when a quest needs problem framing, literature scouting, dataset or metric clarification, or baseline discovery before deeper work.
原文の言語: 英語
Use when a quest has enough evidence to draft or refine a paper, report, or research summary without inventing missing support.
原文の言語: 英語
Use when a quest needs one or more follow-up runs such as ablations, robustness checks, error analysis, or failure analysis after a main experiment.
原文の言語: 英語
Use when a quest is ready for a concrete implementation pass or a main experiment run tied to a selected idea and an accepted baseline.
原文の言語: 英語
Use when the quest needs an explicit go, stop, branch, reuse-baseline, write, finalize, reset, or user-decision transition with reasons and evidence.
原文の言語: 英語
Use when the quest is ready to consolidate final claims, limitations, recommendations, summary state, and graph exports before stopping or archiving.
原文の言語: 英語
Use when a quest needs concrete hypotheses, limitation analysis, candidate directions, or a selected idea relative to the active baseline.
原文の言語: 英語
Use when a quest does not start from a blank state and the agent must first audit, trust-rank, and reconcile existing baselines, results, drafts, or review materials before choosing the next anchor.
原文の言語: 英語
Use when an algorithm-first quest should manage candidate briefs, optimization frontier, branch promotion, or fusion-aware search instead of the paper-oriented default loop.
原文の言語: 英語
Use when a quest already has a paper, draft, or review package and the task is to map reviewer feedback into experiments, manuscript deltas, and a durable rebuttal / revision response.
原文の言語: 英語