Search Skills

Manages Conductor tracks, phases, and tasks, including status updates, task markers, and track navigation.

Multi-LLM orchestration for a 5-stage coding workflow (Analysis, Hypothesis, Implementation, Debug, Improvement) to enhance code quality and debugging.

Initializes Flow projects, migrates existing documentation, and updates legacy structures for seamless development setup.

Assists in brainstorming feature designs and making architectural decisions, including updating the PLAN.md file for project planning.

Automates task note creation, summaries, and changelogs using the Flow framework via natural language commands for concise documentation.

Provides a template for describing Claude skills with trigger phrases and usage instructions for clear documentation.

Guides development workflow with enforced gates, verification, and progress tracking for feature implementation and code execution.

Guides software architectural decisions, documents design patterns, technology choices, and updates PLAN.md architecture section during brainstorming.

A tool for organizing development work by planning phases, tasks, and iterations to structure new features and projects.

Organizes project backlogs by managing active tasks, archiving completed work, and maintaining focused planning.

Provides dashboard-first interface for monitoring Flow project status, current work, next steps, and progress. Read-only access for real-time insights.

Verifies consistency and health of business plans, generates summaries, and supports maintenance through review and verification processes.

Optimizes technical documentation for AI assistants using c7score and llms.txt to enhance LLM context retrieval and usability.

Automates marking tasks and phases complete after verification, ensuring validated work before finalization.

Placeholder skill for automation tasks. To be replaced with actual functionality upon implementation.

Uploads and processes single objects, batch data, and multi-modal content into local Weaviate vector databases for AI-driven semantic search and analysis.

Manages Weaviate collections and schemas for local vector database operations, enabling efficient data organization in AI applications.

Queries local Weaviate instances using semantic search, filters, and RAG to retrieve contextually relevant data efficiently.

Establishes and validates a connection to a local Weaviate vector database for AI/ML data operations.

Simplifies local deployment and management of a Weaviate vector database instance via Docker containerization.

Step-by-step guidance for developing and packaging a new agent provider as a NuGet package within the AgentFrameworkToolkit ecosystem.

Provides CLI control for Ghostty terminal emulator to manage windows, tabs, splits, and configuration.

Command-line interface for managing Google Cloud Platform infrastructure resources including Compute Engine, Cloud Run, and BigQuery.

Automates multi-repository synchronization with AI-assisted review, parallel processing, and Git integration via a Bash CLI tool.