Results for “package-organization”

Provides idiomatic Go patterns, best practices, and conventions for writing, reviewing, and refactoring Go code.

Intelligently organize files across your computer by understanding context, detecting duplicates, suggesting folder structures, and automating cleanup. Maintain a clean digital workspace without manual effort.

Bundle product artifacts into a coherent, production-ready package. Use when the user requests 'package product', 'bundle artifacts', 'assemble deliverables', 'create product package', or 'finalize outputs'.

Python package reorganization with pyproject.toml inside package directory

Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.

Intelligently organizes files and folders by understanding context, finding duplicates, and suggesting better organizational structures. Use when user wants to clean up directories, organize downloads, remove duplicates, or restructure projects.

Use this when a Python repository needs package-level planning, import boundaries, module naming, reusable library extraction, or distribution-friendly structure.

Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.

Turn a cold start into a warm one. Build a single orientation document for a project, account, or workspace, what it is, where things live, the decisions made so far, the open items, and the next move, so a new session or a new teammate is productive in minutes instead of days. Trigger on "get me up to speed", "onboard someone to this", "what's the context here", "brief a new session", "orient me on this account", or any cold-start on work already in motion.

Analyzes file systems to find duplicates, suggest folder structures, and automate cleanup tasks with user approval.

Package a customer escalation for engineering, product, or leadership as a decision-ready handoff — impact, timeline, facts vs. hypotheses, and a specific ask with an owner.

Atomic-design guidance for Organisms — complex feature-level sections (Header, ProductGrid, CommentSection) that compose molecules, connect to state, handle loading/error/empty states, and own responsive layout decisions. Use when authoring components under ui/organisms or deciding molecule vs organism boundaries.

Prepare bid packages with specifications and requirements. TRIGGERS - Use when user needs help with bid-package related tasks.

Intelligently organizes files and folders by understanding context, finding duplicates, and suggesting better organizational structures. Use when user wants to clean up directories, organize downloads, remove duplicates, or restructure projects.

Intelligently organizes files and folders by understanding context, finding duplicates, and suggesting better organizational structures. Use when user wants to clean up directories, organize downloads, remove duplicates, or restructure projects.

Coordinates end-to-end replication workflows for AEM 6.5 LTS, including environment setup, production incident response, and performance optimization.

Prepare PRINCE2 Managing Product Delivery material: work package acceptance, team plans, checkpoint reports, quality evidence, delivery confirmation, and handback notes.

Publish to npm, create README, set up repo, and log the shipment

Plan team outings with activities and logistics. TRIGGERS - Use when user needs help with team-outing related tasks.

Clerk webhooks for real-time events and data syncing. Verify with verifyWebhook from the framework-specific package. Handle user, session, organization, billing, and payment events. Build event-driven features like database sync, notifications, and integrations.

Use this when a Python service, package, or repository needs a maintainable internal structure for modules, domain logic, adapters, config, entrypoints, and tests. Trigger on requests about project layout and internal organization for Python systems.