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找到 198 个相关结果 / 性能优化
研究学习 / 检索整理
geo-fundamentals
geo-fundamentals
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
研究学习 / 检索整理
resource-planning
resource-planning
Plan and optimize resource allocation. Trigger with "resource planning", "capacity", "utilization", "staffing plan", "who should work on what", "we're…
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
knowledge-base
knowledge-base
Use this skill when designing help center architecture, writing support articles, or optimizing search and self-service. Triggers on knowledge base, help center, support articles, self-service, article templates, search optimization, content taxonomy, and any task requiring help documentation design or management.
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
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
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
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
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
equity-research
equity-research
Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use…
研究学习 / 检索整理
graph-search
graph-search
Search the code knowledge graph by function, class, or type name using FTS5 full-text search with query-aware kind boosting.
研究学习 / 检索整理
linkedin-profile-optimizer
linkedin-profile-optimizer
Optimize LinkedIn profile for searchability, recruiter visibility, and engagement
研究学习 / 检索整理
salary negotiation prep
salary negotiation prep
Research market rates, build negotiation strategy, and create counter-offer scripts
研究学习 / 检索整理
agentdb-vector-search
agentdb-vector-search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG…
研究学习 / 检索整理
knowledge-graph-builder
knowledge-graph-builder
Design and build knowledge graphs. Use when modeling complex relationships, building semantic search, or creating knowledge bases. Covers schema design, entity…
研究学习 / 检索整理
seo-optimizer
seo-optimizer
Search Engine Optimization specialist for content strategy, technical SEO, keyword research, and ranking improvements. Use when optimizing website content,…
研究学习 / 检索整理
reasoningbank-with-agentdb
reasoningbank-with-agentdb
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and…
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