How to chain Claude skills into a clean production line with strict handoff contracts
socialwithaayan · x · 2026-07-24
A thread on designing a chain of Claude skills so each step hands off cleanly to the next.
- The workflow should be mapped into ordered stages, with one skill owning each stage.
- Every junction needs a strict handoff contract: format, fields, and missing inputs the downstream skill needs.
- The author also calls out approval gates and any stages that currently have no skill coverage, framing the library as an end-to-end production line.
More from coding & agent
- TMLR paper: enforced thinking doesn't reliably make LLM agents disclose key info to users — SharonYixuanLi · 2026-10-27
- Resin lets an agent build standalone LLM inference engines; vLLM and SGLang optimize DeepSeek kernels differently — AccBalanced · 2026-10-27
- How I let my cloud Grok Bot code on my Mac mini via Tailscale, no public ports — talkaboutdesign · 2026-10-27
- Context layout is a cost decision: one memory edit can bust your entire agent prompt cache — dscape · 2026-10-27
- Alchemy adds effect/Workflow support across Durable Objects, Workflows and Lambda Durable Functions — samgoodwin89 · 2026-10-27
- Alchemy's Lambda Web Functions run plain Node web servers on Lambda, no OpenNext needed — samgoodwin89 · 2026-10-27