Open source alternatives to bigquery-observability
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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About bigquery-observability
bigquery-observability
Provides data-retrieval best practices, tool selection guidance
BigQuery observability is an agent skill for retrieving telemetry about BigQuery work: which jobs ran, how long they took, what they cost and where capacity went. It gives data-retrieval best practices, guidance on choosing the right tool for each question, and performant SQL for querying BigQuery telemetry. The skill compares three routes. INFORMATION_SCHEMA is the SQL route, for historical analysis, comparing cohorts of queries, finding fast and slow periods, tracking reservations and projects over time, aggregating across many jobs, and tracing cost and billing. The skill warns against using it for high-frequency polling or for looking up a single job, because it can consume slots and take seconds to run. The REST API and the bq command-line tool are the route for looking up one job, diagnosing a stage bottleneck in real time, checking pipeline status, and inspecting reservation and capacity configuration. Cloud Monitoring is the route for alerting, fleet-wide dashboards, slot utilization and service-level monitoring, but not for debugging SQL or individual query text. The skill also covers the Google Cloud environment and project setup needed before any telemetry is retrieved. It is published by Google on skills.sh under the google skills repository, and the listing shows Gen Agent Trust Hub and Socket passing, with Snyk showing Warn.
- Price
- Free
- Made by
- Category
- AI Skills
- Website
- github.com/google/skills/bigquery-observability