向量嵌入
向量检索与嵌入工作流
ai-prompting-rag-architecture
vamseeachanta
'Sub-skill of ai-prompting: RAG Architecture (+2).'
solo-research
fortunto2
Deep market research — competitor analysis, user pain points, SEO/ASO keywords, naming/domain availability, and TAM/SAM/SOM sizing. Use when user says "research this idea", "find competitors", "check the market", "domain availability", "market size", or "analyze opportunity". Do NOT use for idea scoring (use /validate) or SEO auditing existing pages (use /seo-audit).
solo-index-youtube
fortunto2
Index YouTube channel videos and transcripts for semantic search. Use when user says "index YouTube", "add YouTube channel", "update video index", or "index transcripts". Works with solograph MCP (if available) or standalone via yt-dlp.
langchain-4-rag-retrieval-augmented-generation
vamseeachanta
'Sub-skill of langchain: 4. RAG (Retrieval Augmented Generation).'
solo-community-outreach
fortunto2
Find relevant Reddit, HN, and ProductHunt threads and draft value-first community responses with launch checklist. Use when user says "find communities", "draft outreach", "Reddit promotion", "ProductHunt launch", or "community marketing". Do NOT use for social media posts (use /content-gen) or video scripts (use /video-promo).
solo-swarm
fortunto2
Launch 3 parallel research agents (market, users, tech) to investigate an idea from multiple angles simultaneously. Use when user says "swarm research", "parallel research", "investigate fast", "3 agents", "team research", or wants faster alternative to /research. Produces research.md. Do NOT use for solo research (use /research) or idea scoring (use /validate).
langchain-rate-limit-errors
vamseeachanta
'Sub-skill of langchain: Rate Limit Errors (+2).'
nix
knoopx
Runs packages temporarily, creates isolated shell environments, and evaluates Nix expressions. Use when executing tools without installing, debugging derivations, or working with nixpkgs.
sqlite-vec
existential-birds
sqlite-vec extension for vector similarity search in SQLite. Use when storing embeddings, performing KNN queries, or building semantic search features. Triggers on sqlite-vec, vec0, MATCH, vec_distance, partition key, float[N], int8[N], bit[N], serialize_float32, serialize_int8, vec_f32, vec_int8, vec_bit, vec_normalize, vec_quantize_binary, distance_metric, metadata columns, auxiliary columns.
research
bahayonghang
Use codex web search for technical research, output reports with complete citation links. Focus on key results users care about, minimize irrelevant content.
langchain-embeddings
evanfang0054
使用 LangChain 中的嵌入模型集成指南，包括 OpenAI、Azure 和本地嵌入
research-synthesis
dhruvbaldawa
Guide when to use built-in tools (WebFetch, WebSearch) and MCP servers (Parallel Search, Perplexity, Context7) for research. Synthesize findings into narrative for braindump. Use when gathering data, examples, or citations for blog posts.
predictive-intelligence
groeimetai
This skill should be used when the user asks to "predictive intelligence", "machine learning", "ML", "classification", "similarity", "clustering", "prediction", "AI", or any ServiceNow Predictive Intelligence development.
analyze-gas-optimization
iskysun96
"Analyze and optimize Aptos Move contracts for gas efficiency, identifying expensive operations and suggesting
obsidian-manager
krishagel
Manage Obsidian vault for persistent knowledge storage, search, and retrieval
browser-control
krishagel
Full browser control for authenticated web interactions using Playwright scripts
cass
Dicklesworthstone
"Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for AI agent consumption with robot mode."
SKILL.md — Giulia Code Intelligence
thatsme
The POST /api/index/scan and POST /api/command/stream endpoints take path in the JSON body instead (unchanged).
pinecone:mcp
pinecone-io
Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them, or what parameters they accept.
pinecone:help
pinecone-io
Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with Pinecone, or what they need to set up before using any Pinecone skill.
pinecone:quickstart
pinecone-io
Interactive Pinecone quickstart for new developers. Choose between two paths - Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A). Use when a user wants to get started with Pinecone for the first time or wants a guided tour of Pinecone's tools.
pinecone:assistant
pinecone-io
Create, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations - create, upload, sync, chat, context retrieval, and list. Recognizes natural language like "create an assistant from my docs", "ask my assistant about X", or "upload my docs to Pinecone".
pinecone:docs
pinecone-io
Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when writing Pinecone code, looking up API parameters, or needing the correct format for vectors or records.
pinecone:cli
pinecone-io
Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal. The CLI supports ALL index types (standard, integrated, sparse) and all vector operations — unlike the MCP which only supports integrated indexes. Use for batch operations, vector management, backups, namespaces, CI/CD automation, and full control over Pinecone resources.