Emailable integration. Manage Persons, Organizations. Use when the user wants to interact with Emailable data.
Automate Emailable tasks via Rube MCP (Composio). Always search tools first for current schemas. — from general/automation
Use when Codex, Hermes, OpenClaw, Claude Code, Cowork, or another AI agent needs to plan, review, implement, audit, or improve email work focused on agentic email plannin — from…
Use when Codex, Hermes, OpenClaw, Claude Code, Cowork, or another AI agent needs to plan, review, implement, audit, or improve email work focused on behavioral triggers — from…
Send transactional email through the Email Bump REST API — immediate and scheduled sends, file attachments, reusable templates, Liquid personalization, and account limits.
Manage an Email Bump audience — create and update contacts, organize lists, read live segments, track behavioral events, and handle subscribe/unsubscribe consent.
Build automated email journeys with Email Bump — welcome series, onboarding, win-backs — from a trigger and a list of steps (send, wait, branch, tag, webhook).
Receive email with Email Bump — a catch-all address per project, an email.received webhook, and an API to read messages, download attachments, and forward a message on.
Provision Email Bump account structure programmatically with an all-access key — workspaces, projects, sending domains with DNS verification, and project keys.
Use when Codex, Hermes, OpenClaw, Claude Code, Cowork, or another AI agent needs to plan, review, implement, audit, or improve email work focused on campaign briefs, audi — from…
Use when Codex, Hermes, OpenClaw, Claude Code, Cowork, or another AI agent needs to plan, review, implement, audit, or improve email work focused on inbox placement, auth — from…
EmailListVerify integration. Manage Users. Use when the user wants to interact with EmailListVerify data.
Automate Emaillistverify tasks via Rube MCP (Composio). Always search tools first for current schemas. — from general/automation
Emailoctopus integration. Manage Lists, Campaigns, Templates. Use when the user wants to interact with Emailoctopus data.
Automate Emailoctopus tasks via Rube MCP (Composio). Always search tools first for current schemas. — from general/automation
Macht aus EML/MSG, Chatverläufen und Screenshots gerichtstaugliche Anlagen mit Headern, Kontext, Exportlogik, Vollständigkeitswarnung und Beweiszweck.
Use when Codex, Hermes, OpenClaw, Claude Code, Cowork, or another AI agent needs to plan, review, implement, audit, or improve email work focused on workflow maps, lifecy — from…
Create Emar-branded horizontal web PPT decks as single HTML files. Use when making presentation slides, keynote-style share decks, event decks, report decks,...
Use for C firmware — Zephyr, FreeRTOS, ESP-IDF, ISRs, linker scripts, stack budgets.
Use when a task needs the judgment of an embalmer — assessing a case's decomposition stage and preservation difficulty, calculating an arterial-fluid dilution ratio for a specific…
Embargo: Fristennotiz und nächster Schritt: Embargo: Fristennotiz und nächster Schritt.
Redige embargos de declaracao do CPC 1.022-1.026 contra qualquer decisao (omissao, contradicao, obscuridade, erro material), no prazo de 5 dias uteis, sem preparo, que INTERROMPEM…
Estrutura embargos de declaração em matéria de consumo — no JEC, INTERROMPEM o prazo recursal (Lei 9.099/95, art.
Use when the user wants to embed a local file, directory, or URL into Qdrant; index local documents or code into the RAG; add files from disk to the knowledge base; or re-embed…
Auto-embed Acceptance Criteria from living docs into increment spec.md for hook compatibility
Use when you need to manage project embeddings - embed skills, agents, commands, and MCP tools for semantic discovery.
Orienta a implementação de integração embedável do pi em projetos CLI externos. Use quando um projeto precisar distribuir configuração pi, publicar extensões customizadas ou…
Embed project-local skills, agents, and commands for semantic search. Use after creating items manually or to update embeddings.
Use when building, editing, or reviewing RetailCRM JS module endpoint wiring with @retailcrm/embed-ui-v1-endpoint.
Image-to-video craft on the skilyst platform — animate a locked still (first-frame anchor) into a 4-15s clip that keeps the identity of that still, and cut several such clips…
Use when you need persistent terminals — long-running processes, dev servers, REPLs, or any command you want to check back on later.
Decision-theoretic framework for agents embedded within the environments they model and act upon
Embedded systems development best practices for ESP32, FreeRTOS, and ESP-IDF. Use when writing firmware code, reviewing implementations, or learning about embedded patterns.
Embedded firmware documentation generation and maintenance using Doxygen and related tools. Expert skill for API documentation, hardware interface documentation, memory maps, and…
Embedded-Finance-Kooperationen prüfen: Händler, Plattform, Bank, Zahlungsdienstleister, Kreditangebot, Vermittlung, Scoring, Datenschutz, Provision und Erlaubnisrisiken.
Use for firmware and hardware-near work — MCUs, RTOS, drivers, flashing safety, FPGA, PCB.
Use when a task needs the judgment of an Embedded/Firmware Engineer — analyzing worst-case execution time for a hard real-time deadline, choosing static over dynamic memory…
Embedded systems firmware, microcontrollers (ESP32, STM32, Arduino, Raspberry Pi), RTOS (FreeRTOS, Zephyr), IoT protocols (MQTT, CoAP, BLE), bare-metal C/C++, and hardware…
Use for embedded Linux, RTOS, bare-metal scheduling, tasks, interrupts, IPC, drivers, synchronization, memory, timing, watchdogs, power, and fault handling.
Use when developing firmware for microcontrollers, implementing RTOS applications, or optimizing power consumption.
Expert in RTOS, bare-metal programming, and embedded Linux. Specializes in Rust for Embedded and high-reliability firmware.
Compute and analyze embeddings for dataset quality, distribution comparison, semantic deduplication, diversity measurement, and similarity-based filtering.
Embed an idea title+summary via HF inference; check cosine similarity vs the embeddings store.
Use when designing embedding strategies that fuse semantic and structural information for knowledge graphs.
Tune a vector index — HNSW graph parameters and quantization — to hit a recall target at the lowest latency and memory, by sweeping settings against a fixed query set instead of…
Embedding Models — выбор, настройка и отладка моделей эмбеддингов. ИСПОЛЬЗУЙ когда выбираешь модель embeddings (E5, BGE, Jina, Giga), настраиваешь ONNX backend, исправляешь…
Implement reusable embedding functions using Gemini embedding models via LangChain with proper error handling and batching for sitemap-crawled content.
Diagnose the health of an embedding set before blaming the retriever — checking normalization, dimensionality, near-duplicates, degenerate vectors, and corpus/query distribution…
Use when you have pairs or triplets of MS/MS spectra with associated metadata (compound structural information, Tanimoto similarity scores) and want to learn embeddings that…
Guide to selecting and optimizing embedding models for vector search applications. — from whatamelon/AGENT-HARNESS-BASELINE
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embeddi — from…
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embeddi — from…
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embeddi — from…
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embeddi — from…
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embeddi — from…
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embeddi — from…
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embeddi — from…
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embeddi — from…
Guide to selecting and optimizing embedding models for vector search applications. — from majiayu000/claude-skill-registry
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embeddi — from…