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找到 521 个相关结果 / 集成自动化
研究学习 / 检索整理
cartography
cartography
Generate comprehensive hierarchical codemaps for UNFAMILIAR repositories. Expensive operation - only use when explicitly asked for codebase documentation or…
研究学习 / 检索整理
ln-620-codebase-auditor
ln-620-codebase-auditor
Use when auditing the codebase through the evaluation platform with mandatory research, coordinated domain audit workers, and structured summaries.
研究学习 / 检索整理
openalex-database
openalex-database
Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends,…
研究学习 / 检索整理
finance-sentiment
finance-sentiment
Fetch structured stock sentiment across Reddit, X.com, news, and Polymarket using the Adanos Finance API. Use this skill whenever the user asks how much people are talking about a stock, how hot a ticker is on social platforms, how many Polymarket bets exist for a company, whether sources are aligned, or to compare stock sentiment across multiple tickers. Triggers include: "social sentiment on TSLA", "how hot is NVDA on X.com", "how many Reddit mentions does AAPL have", "compare sentiment on AMD vs NVDA", "how many Polymarket bets on Microsoft", "is Reddit aligned with X on META", "stock buzz", "bullish percentage", and any mention of cross-source stock sentiment research. This skill is READ-ONLY and does not place trades or modify anything.
研究学习 / 检索整理
ln-100-documents-pipeline
ln-100-documents-pipeline
Creates complete project documentation system (project docs, reference, tasks, tests). Use when bootstrapping docs from scratch or regenerating all.
研究学习 / 检索整理
docs-cleaner
docs-cleaner
Consolidates redundant documentation while preserving all valuable content. This skill should be used when users want to clean up documentation bloat, merge…
研究学习 / 检索整理
neural-training
neural-training
Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Use when: pattern learning, model optimization, knowledge transfer, adaptive routing. Skip when: simple tasks, no learning required, one-off operations.
研究学习 / 检索整理
swarm-advanced
swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
研究学习 / 检索整理
sparc-methodology
sparc-methodology
SPARC development workflow: Specification, Pseudocode, Architecture, Refinement, Completion. A structured approach for complex implementations that ensures thorough planning before coding. Use when: new feature implementation, complex implementations, architectural changes, system redesign, integration work, unclear requirements. Skip when: simple bug fixes, documentation updates, configuration changes, well-defined small tasks, routine maintenance.
研究学习 / 检索整理
memory-management
memory-management
AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, searching for similar solutions, semantic lookup of past work, learning from previous tasks, sharing knowledge between agents, building knowledge base. Skip when: no learning needed, ephemeral one-off tasks, external data sources available, read-only exploration.
研究学习 / 检索整理
aris-autonomous-ml-research
aris-autonomous-ml-research
Autonomous ML research workflows using ARIS (Auto-Research-In-Sleep) — Markdown-only skills for cross-model paper review, idea discovery, experiment…
研究学习 / 检索整理
flow-nexus-neural
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
研究学习 / 检索整理
flow-nexus-platform
flow-nexus-platform
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
研究学习 / 检索整理
research-proposal
research-proposal
Generate academic research proposals for PhD applications. Use when user asks to "write a research proposal", "create PhD proposal", "generate research plan", "撰写研究计划", "写博士申请", "doctoral proposal", or mentions specific research topics for PhD application. Supports STEM, humanities, and social sciences with field-specific adaptations. Follows Nature Reviews-style academic writing conventions. Supports both English and Chinese output based on user preference.
研究学习 / 检索整理
hive-mind
hive-mind
Byzantine fault-tolerant consensus and distributed coordination. Queen-led hierarchical swarm management with multiple consensus strategies. Use when: distributed coordination, fault-tolerant operations, multi-agent consensus, collective decision making. Skip when: single-agent tasks, simple operations, local-only work.
研究学习 / 检索整理
review-delta
review-delta
Review only changes since last commit using impact analysis. Token-efficient delta review with automatic blast-radius detection.
研究学习 / 检索整理
book-study
book-study
Reading coach: guides users through books systematically with knowledge compilation, mastery testing, spaced repetition, and knowledge querying. Use when user…
研究学习 / 检索整理
context-manager
context-manager
Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems.
研究学习 / 检索整理
ml-paper-writing
ml-paper-writing
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying…
研究学习 / 检索整理
figure-generation
figure-generation
Generate publication-quality scientific figures using matplotlib/seaborn with a three-phase pipeline (query expansion, code generation with execution, VLM…