blue-ghost-ai
Official@blue-ghost-ai
Blue-ghost-ai provides CrewAI framework skills covering project scaffolding, agent and task design, YAML configuration, Flow orchestration, and official documentation querying.
Agent Skills by blue-ghost-ai
Showing 4 vetted skills indexed across 1 GitHub repositories.
blue-ghost-aiask-docs
Answers CrewAI questions by fetching and citing official documentation pages.
blue-ghost-aigetting-started
Guides CrewAI project scaffolding, abstraction selection, and Flow orchestration with YAML configuration.
blue-ghost-aidesign-task
Design and configure CrewAI tasks with descriptions, outputs, dependencies, and guardrails.
blue-ghost-aidesign-agent
Design and configure CrewAI agents with roles, goals, tools, LLMs, and guardrails.
Frequently Asked Questions About blue-ghost-ai
FAQPage SchemaWhat tasks can I accomplish with blue-ghost-ai's CrewAI skills?▼
You can scaffold CrewAI projects, choose between LLM.call(), Agent.kickoff(), Crew.kickoff(), and Flow architectures, design agents with roles, tools, and knowledge sources, configure tasks with guardrails and structured outputs, build conversational Flows with handle_turn()/chat(), and query official CrewAI documentation for advanced features and troubleshooting.
Who should use these CrewAI skills?▼
Engineers and developers building multi-agent systems with the CrewAI framework. They suit practitioners starting new CrewAI projects, debugging agent or task execution issues, configuring YAML-based crews, or needing authoritative answers on API details, configuration options, and enterprise features from the official documentation.
How do the four skills work together in practice?▼
Start with getting-started for architecture decisions and scaffolding via 'crewai create flow'. Use design-agent to configure agent roles, LLM selection, and execution limits. Apply design-task for dependencies, output formats, and guardrails. Fall back to ask-docs when questions exceed the other skills' coverage, such as advanced features or error troubleshooting.
What prerequisites are needed to use these skills?▼
A working CrewAI installation and a project context are required, since the skills operate on CrewAI constructs like agents.yaml, tasks.yaml, @CrewBase crew.py files, and Flow main.py files. Familiarity with CrewAI concepts such as crews, flows, tasks, and agents helps you apply the guidance effectively.
Do these skills cover CrewAI enterprise features and error troubleshooting?▼
Yes. The ask-docs skill queries the official CrewAI documentation for enterprise features, tool references, configuration options, and troubleshooting errors, treating the latest docs as the source of truth whenever the getting-started, design-agent, and design-task skills do not fully cover a question.