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找到 923 个相关结果 / 搜索与检索
研究学习 / 检索整理
plan-my-day
plan-my-day
Generate an energy-optimized, time-blocked daily plan based on circadian rhythm research and GTD principles
研究学习 / 检索整理
meilisearch-admin
meilisearch-admin
Check Meilisearch index status, tasks, health, and settings. Use for debugging search issues, monitoring indexing tasks, and inspecting index configuration.…
研究学习 / 检索整理
markdown-mermaid-writing
markdown-mermaid-writing
Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based…
研究学习 / 检索整理
apify-market-research
apify-market-research
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com,…
研究学习 / 检索整理
hypothesis-generation
hypothesis-generation
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with…
研究学习 / 检索整理
income-statement-growth
income-statement-growth
Retrieve year-over-year growth in income statement items including Revenue, Gross Profit, Operating Income, Net Income, and EPS Diluted. Use when analyzing…
研究学习 / 检索整理
postgres-semantic-search
postgres-semantic-search
PostgreSQL-based semantic and hybrid search with pgvector and ParadeDB. Use when implementing vector search, semantic search, hybrid search, or full-text search in PostgreSQL. Covers pgvector setup, indexing (HNSW, IVFFlat), hybrid search (FTS + BM25 + RRF), ParadeDB as Elasticsearch alternative, and re-ranking with Cohere/cross-encoders. Supports vector(1536) and halfvec(3072) types for OpenAI embeddings. Triggers: pgvector, vector search, semantic search, hybrid search, embedding search, PostgreSQL RAG, BM25, RRF, HNSW index, similarity search, ParadeDB, pg_search, reranking, Cohere rerank, Voyage rerank, graceful fallback, iterative_scan, filtered HNSW, websearch_to_tsquery, unaccent, multilingual FTS, pg_trgm, trigram, fuzzy search, LIKE, ILIKE, autocomplete, typo tolerance, fuzzystrmatch, evaluation, benchmarking, Hit@K, MRR, contextual embeddings, halfvec cast
研究学习 / 检索整理
pptx
pptx
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations;…
研究学习 / 检索整理
sympy
sympy
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations…
研究学习 / 检索整理
doc-to-vector-dataset-generator
doc-to-vector-dataset-generator
Converts documents into clean, chunked datasets suitable for embeddings and vector search. Produces chunked JSONL files with metadata, deduplication logic, and…
研究学习 / 检索整理
stock-performance
stock-performance
Retrieve stock price data and performance metrics using Octagon MCP. Use when analyzing daily closing prices, trading volume, price trends, historical…
研究学习 / 检索整理
latex-posters
latex-posters
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and…
研究学习 / 检索整理
literature-review
literature-review
You must use this when synthesizing existing knowledge, identifying research gaps, or tracing the evolution of scientific ideas.
研究学习 / 检索整理
latex-compile-qa
latex-compile-qa
Compile a LaTeX project and run basic QA (missing refs, bib errors, broken citations), producing `latex/main.pdf` and a build report. **Trigger**: latex compile, build PDF, LaTeX errors, missing refs, 编译PDF, 引用错误. **Use when**: 已有 `latex/main.tex`(通常来自 `latex-scaffold`),需要确认可编译并输出失败原因报告。 **Skip if**: 还没有 LaTeX scaffold(先跑 `latex-scaffold`)。 **Network**: none. **Guardrail**: 编译失败也要落盘 `output/LATEX_BUILD_REPORT.md`;不做“内容改写”,只做编译/QA。
研究学习 / 检索整理
sector-pe-ratios
sector-pe-ratios
Retrieve sector P/E ratios using Octagon MCP. Use when comparing company valuations to sector benchmarks, analyzing sector valuations across exchanges, and…
研究学习 / 检索整理
data-enrichment
data-enrichment
Enrich contact, company, and influencer data using x402-protected APIs. Superior to generic web search for structured business data. USE FOR: - Enriching person profiles by email, LinkedIn URL, or name - Enriching companies by domain - Finding contact details (email, phone) with confidence scores - Resolving person identity and enriching consumer profiles (Minerva) - Searching for people or companies by criteria - Verifying email deliverability before outreach - Enriching influencer/creator profiles across social platforms TRIGGERS: - "enrich", "lookup", "find info about", "research" - "who is [person]", "company profile for", "tell me about" - "find contact for", "get LinkedIn for", "get email for" - "employee at", "works at", "company details" - "verify email", "check email", "is this email valid" - "influencer", "creator", "influencer contact", "influencer marketing"
研究学习 / 检索整理
huitun-data
huitun-data
Use when analyzing Xiaohongshu account performance, tracking content metrics, researching competitors, or making data-driven decisions to optimize content…
研究学习 / 检索整理
pma-mem
pma-mem
Knowledge management skill for capturing, classifying, searching, and syncing project knowledge. Use when storing learnings, syncing BKD issue outcomes, or…
研究学习 / 检索整理
engineer-expertise-extractor
engineer-expertise-extractor
Research and extract an engineer's coding style, patterns, and best practices from their GitHub contributions. Creates structured knowledge base for…
研究学习 / 检索整理
alicloud-ai-search-text-embedding
alicloud-ai-search-text-embedding
Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline…