AI Agent Skills

Chia blockchain python implementation (full node, farmer, harvester, timelord, and wallet)

The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.

An orchestration platform for the development, production, and observation of data assets.

Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics

Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics

Aptos is a layer 1 blockchain built to support the widespread use of blockchain through better technology and user experience.

The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embe…

Apache Superset is a Data Visualization and Data Exploration Platform

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, In…

Umami is a modern, privacy-focused analytics platform. An open-source alternative to Google Analytics, Mixpanel and Amplitude.

🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags…

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK,…

Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alterna…

Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by ClickHouse and OpenTelemetry.

Apache DevLake is an open-source dev data platform to ingest, analyze, and visualize the fragmented data from DevOps tools, extracting insights for engineering excellenc…

Turn creator performance data into a documented retrospective, grounded hypotheses, and reusable content learnings.