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Found 18 Skills
Manages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).
GitLab CI/CD pipeline operations. ALWAYS use this skill when user wants to: (1) view pipeline status, (2) run/trigger pipelines, (3) view/retry jobs, (4) trace job logs, (5) download artifacts, (6) lint CI config.
Query, monitor, and analyze jobs on IBM i using SQL table functions via ibmi-mcp-server. Use when user asks about: (1) finding jobs by status, user, subsystem, or type, (2) monitoring active job performance (CPU, I/O, memory), (3) detecting long-running SQL statements, (4) analyzing lock contention, (5) checking job queues, (6) replacing WRKACTJOB, WRKUSRJOB, WRKSBSJOB, WRKSBMJOB commands, or (7) any IBM i work management task.
Create, manage, and review Eve jobs, phases, and dependencies. Use when running knowledge work in Eve or structuring job hierarchies.
Elastic ML anomaly detection skill — investigation/RCA, score explanation, job operations (create, datafeed, start/stop, results), and troubleshooting (missing docs, memory limits, datafeed health, lifecycle). Operates against Kibana Agent Builder MCP tools (`ad_*`) on `.ml-anomalies-*`, `.ml-config`, `.ml-notifications-*`, `.ml-annotations-*`. Use when answering "what broke?"/"which entity?"/RCA, "why is score high/low?"/renormalization, "datafeed stopped"/"memory limit", or any request to set up or configure an ML anomaly detection job.
Manage the full lifecycle of Alibaba Cloud EMR Serverless Spark workspaces—create workspaces, submit jobs, Kyuubi interactive queries, resource queue scaling, and status queries. Use this Skill when users want to create Spark workspaces, submit Spark jobs, view job status and logs, execute SQL via Kyuubi, scale resource queues, or view workspace status. Also applicable when users say "create a Spark workspace", "submit Spark job", "run PySpark", "execute SQL via Kyuubi", "scale resource queue", "view job logs", etc.
Early-access skill for Mimiry's softlaunch GPU compute platform. Use this skill whenever the user wants to run a GPU job, start a compute session, train a model, launch a container on a GPU, check their balance, manage running sessions, or build a compute job script on the Mimiry softlaunch environment. Also triggers when the user mentions Mimiry softlaunch, Mimiry compute, GPU sessions, SSH-ing into a session, or asks to "run this on a GPU" or "launch a training job". Covers both quick one-liners and interactive job-building workflows. This is the softlaunch (early beta) version — the API and features may change.
Use the genmedia CLI to search, inspect, run, and manage 1200+ fal.ai model endpoints. Trigger when the user mentions "genmedia", "fal CLI", or asks to "search models", "run a model", "fetch schema", "check pricing", "upload to fal", "queue async job", "track request", or any direct interaction with the fal.ai endpoint catalog. This is the foundational skill. Every other fal.ai-related skill in this repo executes its work through genmedia commands. Use `--json` whenever the output will be parsed by an agent.
Inspect active background research work including running processes, scheduled follow-ups, and pending tasks. Use when the user asks what's running, checks on background work, or wants to see scheduled jobs.
Schedule reminders and recurring tasks.
Submits and manages FastFold protein folding jobs via the Jobs API. Covers authentication, creating jobs, polling for completion, and fetching CIF/PDB URLs, metrics, and viewer links. Use when folding protein sequences with FastFold, calling the FastFold API, or scripting fold-and-wait workflows.
Schedule cron jobs and automate recurring tasks