Documentation Index
Fetch the complete documentation index at: https://docs.corvic.ai/llms.txt
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Agent Skills
This tutorial shows how Corvic AI supports agent skills—reusable capabilities your agents can call with clear inputs and outputs. Skills help you package domain logic, tools, and workflows so agents stay consistent, testable, and easier to govern.What You’ll Learn
- What agent skills are and when to use them
- How skills fit into agent design alongside data grounding and tools
- Patterns for composing skills with agents and data apps
Key Concepts
Reusable capabilities
Skills encapsulate behavior your agents can invoke repeatedly—whether that is retrieval over a specific corpus, a structured workflow, or integration with an external system—without duplicating prompts or logic across agents.Governance and clarity
Well-defined skills make it easier to review what an agent can do, limit scope to approved operations, and iterate on behavior independently of the rest of the agent configuration.Working with agent skills
Step 1: Identify repeatable work
List tasks your agent performs often (summarization over a table, policy checks, formatted handoffs). Candidates with stable inputs and outputs are strong skill boundaries.Step 2: Define the skill contract
Specify what the skill accepts, what it returns, and any side effects or data it is allowed to touch. A clear contract makes skills composable and easier to test.Step 3: Attach skills to agents
Configure your agent to invoke the right skills during a run. Combine skills with grounded retrieval and your embedding spaces so answers stay tied to enterprise data.Step 4: Validate in realistic scenarios
Exercise skills with representative queries and edge cases. Adjust boundaries when you see drift between intended behavior and production usage.Benefits
Agent skills reduce duplication, speed up iteration on agent behavior, and make production agents easier to reason about—especially as you scale the number of agents and data apps in your organization.Best Practices
Keep skills focused; prefer several small skills over one large catch-all. Document assumptions and failure modes. Reuse skills across agents where behavior should stay identical.Related Documentation
Building Domain Specific Custom Agents
Learn how to build agents grounded in multimodal, multi-structural data.
Agents
Core concepts for configuring and using agents.
Data Apps
Deploy agents and workflows as applications.
Video tutorials overview
Browse all Corvic AI video tutorials.