Embeddings

Debug the signals pipeline locally end-to-end. An agent skill from PostHog/posthog.

PostHog/posthog

How to query the documentembeddings table for raw signal data using HogQL.

PostHog/posthog

A skill your agent uses when a pipeline DOT file has passed structural validation but may still have flow inefficiencies, spec fidelity gaps, or information loss in prompts.

harperreed/dotfiles

Produce a mock-audit storyboard — a single HTML page embedding related UX surfaces side-by-side, with per-mock audit checklists, a flow diagram, and gap cards for missing mocks.

citypaul/.dotfiles

A skill your agent uses when writing code that runs concurrently in ChatbotX — BullMQ worker consumers, sharded DB migrations, embedding replace-writes, or any multi-step operation that could be…

ChatbotXIO/ChatbotX

A skill your agent uses when the user asks to design a RAG pipeline, choose a chunking strategy or embedding model, pick a vector database, or evaluate retrieval quality (precision@k, recall@k, NDCG).

alirezarezvani/claude-skills

Search a video library with natural language via the VSS Pipeline Manager - upload a video (POST /videos), generate its embeddings (POST /videos/search-embeddings/{id}), then run a query (POST…

open-edge-platform/edge-ai-libraries

Optimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning.

ancoleman/ai-design-components

RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers.

llama-farm/llamafarm

Produce and interpret PCA, t-SNE, UMAP, and PHATE plots for high-dimensional omics data with rigor about which method preserves what (variance, local structure, manifold, transitions)…

GPTomics/bioSkills

Build publication-quality figures in R with ggplot2 using the grammar of graphics (data + aesthetics + geometries + scales + facets + themes) with CVD-safe palettes, cairopdf TrueType embedding…

GPTomics/bioSkills

Add or repair Cloudflare Turnstile on an existing web form by creating or reusing a widget, embedding it, wiring mandatory server-side Siteverify in the existing backend, and validating the result.

swyxio/skills

Command-line interface for Ollama - Local LLM inference and model management via Ollama REST API.

HKUDS/CLI-Anything

Run the full DEFT smart-data-augmentation loop for NVIDIA TAO Grounding DINO object detection: zero-shot baseline inference, KPI analysis, per-class gap analysis, SigLIP embedding of weak images…

NVIDIA/skills

Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud.

google/skills

Lingzao lightweight XHS pre-publish check Skill for Xiaohongshu notes before publishing: content clarity, cover recognition, title clickability, first 3 lines or first 3 seconds, keyword embedding…

atian-create/lingzao-skill

A skill your agent uses when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vectorization pipelines.

cinience/alicloud-skills

Replay a recorded session trajectory against the same URL or a mutated variant; uses browser-selectors embedding similarity to recover from DOM drift

ruvnet/ruflo

Bridge Claude Code auto-memory into AgentDB with ONNX embeddings, deduplicate, and enable unified cross-project search

ruvnet/ruflo

Generate embeddings via npx ruvector@0.2.25 embed text (ONNX all-MiniLM-L6-v2, 384-dim), normalize, and store in HNSW index

ruvnet/ruflo

Vector search via embeddings (large-scale HNSW) and ruvllmhnsw (WASM router for ≤11 hot patterns), with RaBitQ 1-bit quantization for 32× memory reduction

ruvnet/ruflo

Migrates Airflow projects from airflow-ai-sdk to apache-airflow-providers-common-ai 0.4.0+.

astronomer/agents

Build with OpenAI's stateless APIs - Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation.

ynulihao/AgentSkillOS

A skill your agent uses for DSPy retrieval with dspy.Embedder, dspy.Embeddings, FAISS indexes, semantic search, and local or hosted embedding models.

OmidZamani/dspy-skills

Run iterative improvement for NVIDIA TAO CLIP / SigLIP image-text retrieval on attribute-labelled data.

NVIDIA/skills

Markdown-first knowledge base where the LLM acts as librarian.

SethGammon/Citadel

A skill your agent uses when running a minimal test matrix for the Model Studio skills that exist in this repo, including image/video/audio, realtime speech, omni, visual reasoning, embedding…

cinience/alicloud-skills

Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint (groverbase / cmim / hybrid / finetuned).

NVIDIA-BioNeMo/bionemo-agent-toolkit

Enhancement-overlay SOP for adding sparse (BM25 / keyword) retrieval alongside dense (embedding) retrieval.

agentsope/SkillAlchemy

Lifecycle SOP for per-model prompt artifacts — the compiled prompts, instructions, few-shot demos, edit-format pins, and embedding-bound indices that change behavior when the underlying LM, dataset…

agentsope/SkillAlchemy

ComfyUI prompt engineering knowledge covering CLIP text encoding syntax, weight modifiers, model-specific prompting strategies, and best practices

artokun/comfyui-mcp

Semantic memory and context - store and retrieve information with embeddings for similarity search.

harperreed/dotfiles

On-demand index of the AI DIAL Chat design docs in docs/. An agent skill from epam/ai-dial-chat.

epam/ai-dial-chat

Given a gene and a single-cell atlas, compute how cell-type-specific its expression is — the tau specificity index, Sarle's expression bimodality coefficient, and the cell types that drive the…

ClawBio/ClawBio

Expert in vector databases, embedding strategies, and semantic search implementation.

aiskillstore/marketplace

Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems.

giuseppe-trisciuoglio/developer-kit

Develop and debug the Multimodal DataPrep microservice: its FastAPI media endpoints, in-process embedding pipeline, batch jobs, object detection, telemetry and Metrics Manager publishing, and…

open-edge-platform/edge-ai-libraries

Develop the Multimodal Embedding Serving microservice itself — Poetry install, run the existing tests, navigate the wrapper/registry/handler architecture, add a new model family, and build the image…

open-edge-platform/edge-ai-libraries

Add or change a Datapages page: route doc comments, GET return values, path and query parameters, custom error pages, the global head and sharing handlers across pages by embedding.

romshark/datapages

A skill your agent uses when performing sample-level dimensionality reduction and visualization on abundance or OTU-style matrices with a companion group file, generating UMAP and/or t-SNE…

aipoch/medical-research-skills

A skill your agent uses when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot.

rrezartprebreza/spring-boot-skills

A skill your agent uses when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot.

rrezartprebreza/spring-boot-skills

Unsupervised clustering and cell-type identification for high-dimensional flow, spectral, and mass cytometry - FlowSOM, PhenoGraph, FlowSOM-via-CATALYST, with UMAP/tSNE for visualization.

GPTomics/bioSkills

Integrate multimodal single-cell data (CITE-seq RNA+protein, 10x Multiome RNA+ATAC, unpaired/diagonal RNA+ATAC) and choose the right joint method.

GPTomics/bioSkills

Orchestrates the end-to-end 10x Multiome (paired scRNA + scATAC) pipeline from Cell Ranger ARC output to a jointly-embedded, annotated object, chaining per-modality QC, AMULET fragment-based ATAC…

GPTomics/bioSkills

Change or review OpenSecret inference and web-provider integrations.

MaplePrivacyLabs/Maple

Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors).

aws/agent-toolkit-for-aws

Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimization Use when: rag, retrieval augmented, vector search, embeddings, semantic search.

davila7/claude-code-templates