Agent Skills used by the Sentry team for development.
- tag-production
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Agent Skills used by the Sentry team for development.
Agent-native shopping for extreme value: verifiable same-product price evidence, checkout, orders, delivery, and after-sales.
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
Source-linked Claude 5.5 video workflows: Opus and Sonnet demos, separately labeled next-Fable testing reports, prompts, tools and production evidence.
Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.
FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.
Fast, free voice assistant for your Mac. No API key. Remembers you and learns your shortcuts. Hold ⌃⌥Space and talk.
pyspark methods to enhance developer productivity 📣 👯 🎉
A production-grade, high-efficiency Agentic RL framework for frontier LLMs with validated recipes.
SHKeeper is a self-hosted and open-source cryptocurrency gateway payment processor. It's integrate with popular CMS, any e-commerce, your own code or product
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
A Python Package for Protein Dynamics Analysis
Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.
44 agent skills from shipping three live products: decide what to build, build it with Claude Code or Codex, have a second model review it, release it.
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Independent reproduction of SuperMimic (arXiv:2610.28480) on mjlab/MuJoCo Warp, written from the paper before the official release. For the authors' code see HybridRobotics/supermimic. Kept as a record: experiment log, full BONES-SEED results, checkpoint.
Upload once to create multiple, relative PRs. Productivity-focused git tools with patch revision tracking, rebase detection and more. Uses python and git plumbing commands.
Lightweight Claude Code statusLine: 5h/7d rate-limit usage, reset countdowns, model + context window, prompt-cache age — one line, 3 styles × 9 themes, daemon fast-mode
Produce a sharp image of a planetary system object (moon, sun, planets) from many seeing-affected frames according to the "lucky imaging" technique.
SuperMimic-UniLab: An Independent reproduction of SuperMimic on UniLab for whole-body humanoid motion tracking.
Battle-tested agent skills for Product Builders. Part of the Product Builder OS by Superhero.tech: Super Brain for context, skills for action, built from 32+ years of combined product experience and pressure-tested with 1,800 builders.
Production interior authoring and interactive Three.js delivery plugin for img2.