Total 50,523 skills, AI & Machine Learning has 8481 skills
Showing 12 of 8481 skills
Local MCP memory server for AI coding assistants with verbatim recall, semantic search, and automatic session capture
Use OpenAI Codex CLI through MCP to get AI-powered code analysis, generation, review, and web search directly in your editor
Context layer for data and analytics AI agents with semantic layer, skills, and memory via MCP
Trust-aware dialogue generation for AI companion relationships
Fully offline speech-to-text via the Vosk library — streaming recognition, 16 kHz PCM, no network required after model download.
Verify claims in agent responses against sources using semantic similarity and web fact-checking.
Export a white-label client deliverable as a zip.
Gate every generation through a brand policy file.
Transform product photos via Picsart gen-ai — six modes.
Deterministic default-avatar generator per user.
Use when the user says "get started with Cekura", "set up Cekura", "onboard to Cekura", "I'm new to Cekura", "help me set up my agent", "how do I use Cekura", "walk me through Cekura", "configure my project", "first time using Cekura", or needs guidance on initial platform setup. Covers two onboarding paths: **testing** (default — build evaluators and run simulated calls) and **observability** (ingest production call logs and evaluate them).
Use when the user asks to "create a metric", "write a metric", "design a metric", "build a metric for", "evaluate agent performance", "measure call quality", "track a KPI", "add a workflow metric", "improve my metric", "fix a metric", "debug metric results", "set up quality scoring", or "what metrics do I need". Also relevant when discussing LLM judge prompts, custom code metrics, evaluation triggers, VALID_SKIP patterns, section extraction, or metric best practices for Cekura voice AI agents. Covers both creating new metrics and reviewing, iterating on, or troubleshooting existing ones.