research -> implementation plan -> actual implementation (based on research + plan) -> validation
I have multiple subagents that I use for each phase that (based on subjective judgement) improve the output quality (vs keeping everything, every tool use etc. in the "main" context window). Skills = Instructions + resources for the current Claude instance (shared context)
Subagents = Separate AI instances with isolated contexts that can work in parallel (different context windows)
Skills make Claude better at specific tasks. Subagents are like having multiple specialized Claudes working simultaneously on different aspects of a problem.
I imagine we can probably compose them, e.g. invoke subagents (to keep separate context) which could use some skills to in the end summarize the findings/provide output, without "polluting" the main context window.
Can you share some links/references?