Wires the hosted Conviva DPI MCP endpoint and installs the companion skills (exploring-context-center, querying-predefined-metrics, retrieving-behavior-segment-details, finding-replay-candidates, analyzing-session-replays).
Plugin conviva-dpi-mcp from marketplace conviva in Conviva/mcp-marketplace. Commands read from the repo's manifest — 22 days ago.
analyzing-session-replaysFetches a Conviva session replay's gzipped rrweb blobs for one clientId and window: lists metadata, mints signed URLs, then downloads and parses them locally — raw bytes never enter the model context. TRIGGER when: a user asks to analyze, debug, inspect, summarize, or explain what happened in a sess
exploring-context-centerFinds Conviva Context Center assets by meaning or topic, then hydrates the full structured definition — search the knowledge layer first, then fetch the asset. TRIGGER when: the user wants to find or understand a pattern, metric, dimension or critical event without knowing its id, asks what an accou
finding-replay-candidatesTurns a behavioral question ("who hit the checkout error yesterday?") into concrete Conviva clientIds, each with its session window, replay availability, and device, by asking Nexa which devices match. TRIGGER when: a user wants to watch, inspect, or analyze a session replay or session recording (al
querying-predefined-metricsThe primary flow for answering "what is this metric?" questions: runs a predefined Conviva Context Center metric by its id over a date range, optionally broken down by dimension ids — using asset ids only, never raw SQL or a raw query payload — and returns real values. TRIGGER when: a user asks for
retrieving-behavior-segment-detailsRetrieves and interprets an Insights behavior segment — its journey criteria and its sub-segments — and computes live conversion, device counts and example users when numbers are asked for. TRIGGER when: the user says "segment" in any form (behavior / audience / user segment) and wants to list, look
convivaconnects to: https://dpi-mcp.conviva.com/mcp
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
Install the "AAS Data Analytics & Business Intelligence" workflow plugin from Agentic Awesome Skills.
16 skills
Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.
37 skills · 2 commands · hooks
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
1 MCP server
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
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