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找到 963 个相关结果 / 提示词与 LLM
研究学习 / 检索整理
deeppapernote
deeppapernote
Generate a high-quality deep-reading note for a single paper and write it into an Obsidian-style vault. Use when the user gives a paper title, DOI, URL, arXiv…
研究学习 / 检索整理
safe-debug
safe-debug
Trusted-lane debug skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape…
研究学习 / 检索整理
research-pipeline
research-pipeline
Full research pipeline: Workflow 1 (idea discovery) → implementation → Workflow 2 (auto review loop) → Workflow 3 (paper writing, optional). Goes from a broad…
研究学习 / 检索整理
explore-run
explore-run
Explore-lane experimental execution skill for deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as…
研究学习 / 检索整理
codebase-study-guide
codebase-study-guide
Generate a pedagogically-grounded study guide for learning an unfamiliar codebase. Use when the user wants to onboard onto a codebase, understand a project's…
研究学习 / 检索整理
notion-research-documentation
notion-research-documentation
Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages.…
研究学习 / 检索整理
mempalace
mempalace
MemPalace — mine projects and conversations into a searchable memory palace. Use when asked about mempalace, memory palace, mining memories, searching…
研究学习 / 检索整理
fine-tuning-serving-openpi
fine-tuning-serving-openpi
Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID,…
研究学习 / 检索整理
nsfc-research-foundation-writer
nsfc-research-foundation-writer
当用户明确要求"写/改研究基础""研究基础+工作条件+风险应对编排"时使用。为 NSFC 正文"(三)研究基础"写作/重构,并同步编排"工作条件"和"研究风险应对",用证据链证明项目可行、资源条件对位研究内容、风险预案可执行。
研究学习 / 检索整理
research-deep
research-deep
Read research outline, launch independent agent for each item for deep research. Disable task output.
研究学习 / 检索整理
code-comments
code-comments
Write clear, plain-spoken code comments and documentation that lives alongside the code. Use when writing or reviewing code that needs inline…
研究学习 / 检索整理
fine-tuning-openvla-oft
fine-tuning-openvla-oft
Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning…
研究学习 / 检索整理
analyze-project
analyze-project
Trusted-lane analysis skill for deep learning research repositories. Use when the user wants to read and understand a repository, inspect model structure and…
研究学习 / 检索整理
pma
pma
Project development lifecycle management with a strict three-phase workflow (investigate, proposal, implement), file-based plan tracking in docs/plan/, task…
研究学习 / 检索整理
evaluating-cosmos-policy
evaluating-cosmos-policy
Evaluates NVIDIA Cosmos Policy on LIBERO and RoboCasa simulation environments. Use when setting up cosmos-policy for robot manipulation evaluation, running…
研究学习 / 检索整理
scientific-writing
scientific-writing
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1)…
研究学习 / 检索整理
raise-negotiation-prep
raise-negotiation-prep
Market salary research, accomplishment quantification, negotiation scripts, total compensation analysis, timing strategy.
研究学习 / 检索整理
research-paper-writing
research-paper-writing
Draft and revise ML, CV, NLP, and systems research papers with strong claim-evidence flow, reviewer-aware structure, and submission-ready section planning. Use when the user needs help with an abstract, introduction, related work, method, experiments, ablations, discussion, figures/tables, checklist coverage, or rebuttal / response-letter writing for a paper. Triggers on: research paper, academic paper, ML paper, NeurIPS paper, ICLR paper, CVPR paper, experiments section, ablation plan, related work, contribution framing, reviewer response, rebuttal, camera-ready revision.
研究学习 / 检索整理
search-layer
search-layer
DEFAULT search tool for ALL search/lookup needs. Multi-source search and deduplication layer with intent-aware scoring. Integrates Brave Search (web_search), Exa, Tavily, and Grok to provide high-coverage, high-quality results. Automatically classifies query intent and adjusts search strategy, scoring weights, and result synthesis. Use for ANY query that requires web search — factual lookups, research, news, comparisons, resource finding, "what is X", status checks, etc. Do NOT use raw web_search directly; always route through this skill.
研究学习 / 检索整理
chat-with-arxiv
chat-with-arxiv
Build interactive chat agents for exploring and discussing academic research papers from ArXiv. Covers paper retrieval, content processing, question-answering,…