# Tools > Every listed resource, editors’ picks first. The filters below can be combined. - Search: append `?q=` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README. - Filter by type: append `?type=` to the URL. - Filter by profession: append `?profession=` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions - Filter by tag: append `?tag=` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags Resources for Full-stack / Indie or QA or ML / AI, Tagged `observability`: 3 items. > - Full-stack / Indie: General software work: coding-agent workflows, code review, debugging and Git collaboration. > - QA: Functional testing, test automation and quality assurance. > - ML / AI: Model training, evaluation and LLM application development. - [Grafana Skills](https://hebbmind.com/skill/grafana-skills.md): [Skill] Grafana Labs' official skills: dashboards and alerting, PromQL, Loki, Tempo, Mimir and Pyroscope queries, Prometheus cardinality troubleshooting, Grafana Cloud management and cost optimization, k6 load testing and plugin development. Some skills need Grafana Cloud. - [MLflow Skills](https://hebbmind.com/plugin/mlflow-skills.md): [Plugin] MLflow's official skills plugin: lets coding agents add MLflow Tracing to LLM apps, analyze failed traces, build evaluation datasets and scorers, and query token and latency metrics, closing the instrument, evaluate, iterate loop. Needs MLflow 3.8+. - [Langfuse Observability Plugin](https://hebbmind.com/plugin/claude-observability-plugin.md): [Plugin] Langfuse's official plugin: uses hooks to send prompts, model calls, token usage and cost, tool calls and subagents from Claude Code sessions to Langfuse as traces for monitoring and review. Needs Langfuse keys (self-hosting supported) and uv or Python 3.10+.