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home / skills / ken-cavanagh-glean / fieldkit
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memory-systems
ken-cavanagh-glean/fieldkit
3
Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason over structured knowledge.
multi-agent-patterns
ken-cavanagh-glean/fieldkit
3
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
brief
ken-cavanagh-glean/fieldkit
3
This skill provides a pre-meeting briefing for any account by aggregating local checklists and real-time Glean data for actionable insights.
context-optimization
ken-cavanagh-glean/fieldkit
3
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
context-engineering
ken-cavanagh-glean/fieldkit
3
This skill helps teams design agent tools that are clear, consolidated, and reliable, reducing complexity and boosting performance.
context-fundamentals
ken-cavanagh-glean/fieldkit
3
Understand the components, mechanics, and constraints of context in agent systems. Use when designing agent architectures, debugging context-related failures, or optimizing context usage.
tool-design
ken-cavanagh-glean/fieldkit
3
Design tools that agents can use effectively, including when to reduce tool complexity. Use when creating, optimizing, or reducing agent tool sets.
evaluation
ken-cavanagh-glean/fieldkit
3
Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
advanced-evaluation
ken-cavanagh-glean/fieldkit
3
This skill helps you build robust LLM evaluation systems by applying direct scoring, pairwise comparisons, rubrics, and bias mitigation.
project-development
ken-cavanagh-glean/fieldkit
3
Design and build LLM-powered projects from ideation through deployment. Use when starting new agent projects, choosing between LLM and traditional approaches, or structuring batch processing pipelines.
context-compression
ken-cavanagh-glean/fieldkit
3
Design and evaluate context compression strategies for long-running agent sessions. Use when agents exhaust memory, need to summarize conversation history, or when optimizing tokens-per-task rather than tokens-per-request.
agent-spec-generator
ken-cavanagh-glean/fieldkit
3
This skill designs and generates complete Glean Agent specifications from discovery to JSON output for Agent Builder.
browser-automation
ken-cavanagh-glean/fieldkit
3
This skill guides effective browser automation with a dev-browser plugin to test local UI changes, debug issues, and automate repetitive tasks.