Assemble context bundles for AI sub-agents from memory indexes.
npx skills add https://github.com/Fr-e-d/GAAI-framework --skill compose-team-fr-e-d
Please help me install this Agent Skill. Skill: compose-team Source: https://github.com/Fr-e-d/GAAI-framework/tree/main/.gaai/core/skills/delivery/compose-team Command: npx skills add https://github.com/Fr-e-d/GAAI-framework --skill compose-team-fr-e-d
This Skill ensures that each sub-agent in an AI workflow receives precisely the necessary context, preventing token waste and context drift while avoiding information starvation that could lead to failures.
Use the compose-team skill to prepare the context bundle for the planning sub-agent.
High-intent search queries and answers about installing and using this skill.
Agent context bundling assembles precise context packages for AI sub-agents based on evaluated story outputs and system rules. It ensures isolation and efficiency by providing only the necessary files and memory categories to each specific agent, preventing token waste and context drift.
To prepare context for planning and QA sub-agents, you apply tiered input requirements that dynamically create tailored context packages. This ensures core team agents receive comprehensive project details and past decisions while MicroDelivery agents get minimal necessary files.
Memory resolution works by safely resolving memory file paths from an index. This ensures sub-agents receive up-to-date context for the delivery pipeline without hardcoding file locations, maintaining accuracy across the agent orchestration workflow.
AI sub-agents fail without tiered context isolation due to information starvation or context drift. Assembling precise context bundles prevents these issues by evaluating story outputs and applying strict memory category limits, ensuring each agent receives exactly what it needs.
Yes, you can use context bundling for a micro-delivery agent pipeline. The system provides tiered context, delivering minimal necessary files and memory categories specifically tailored for MicroDelivery agents to ensure execution efficiency and isolation.
The best way to prevent token waste in agent orchestration is to assemble precise context bundles. By dynamically managing context resolution and providing only necessary files to each sub-agent, you avoid information overload and context drift.
petrSimonidesXartAssemble per-sub-agent context bundles from evaluate-story output for deterministic spawning.
bketelsenAssemble context bundles for Planning, Implementation, and QA sub-agents.
GaryOcean428Coordinate sub-skills and verify task completion across planning, implementation, QA, and documentation.
mattmacleod16-svgDecode shorthand and acronyms into workplace context using tiered memory files.
