push-to-registry
Integrates Packer builds with the HCP Packer registry by pushing build metadata. Supports image lifecycle management, version tracking, and governance.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Integrates Packer builds with the HCP Packer registry by pushing build metadata. Supports image lifecycle management, version tracking, and governance.
Implements puzzle state and move input with rule-based resolution. Covers match-3 cascades, Sokoban pushes, tile logic, scoring, and undo.
Covers progressive web app development using service workers and Workbox. Addresses caching strategies and offline functionality.
Use when hunting Pwn Request vulnerabilities where pull_request_target workflows checkout attacker-controlled PR code and execute it in a privileged context with access to repository secrets. Trigger on: "pwn request", "pull_request_target", "checkout PR head", "npm install in CI", "lifecycle scripts in CI", "preinstall script", "postinstall script", "package.json scripts CI", "npm ci ignore-scrip…
Supports complex data modeling with Pydantic, a Python validation and serialization library based on type hints. Covers model constraints and hierarchies built with subclasses.
Adds capabilities from pydantic-ai-harness, including filesystem and shell tools, sub-agents, planning, and context compaction. Code Mode combines multiple tool calls in one sandboxed Python execution and supports running agent-written Python.
Supports bulk RNA-seq differential expression analysis using formulaic designs, Wald tests, false discovery rate correction, and log fold-change shrinkage. Includes visualization of analysis results.
Supports reading, inspecting, writing, transforming, and preflighting local DICOM datasets. Covers metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
Structures Python games around initialization, events, updates, and drawing. Covers delta-time movement, Surface and Rect blitting, keyboard and mouse input, and Sprite/Group collision management.
Builds PyHealth pipelines from clinical datasets through task definition, model training, and metric evaluation. Covers EHR, signal, and imaging applications such as mortality prediction, readmission, sleep staging, and medical code lookup and mapping.
Supports PyLabRobot lab automation development, protocol review, API questions, offline simulation, and supported-device integration. Physical execution remains subject to an explicit operator safety gate.
Uses pymatgen APIs to validate, convert, transform, and analyze materials structures and computed data. Covers local phase diagrams, symmetry sensitivity, electronic-structure input and output, and bounded Materials Project queries.
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