arch-compiler-ai-harness-in-action
This repo was built by using Claude Code and agent skills which are harnessed around the Architecture Compiler, a deterministic compiler turning constraints into reviewable architectural decisions with clear trade-offs and cost impact, based on 180+ curated design patterns. Refer to https://github.com/inetgas/arch-compiler for more details.
This repository was built with AI agents and agent skills harnessed around Architecture Compiler, a deterministic compiler that turns constraints into explicit, reviewable architectural decisions with clear trade-offs and cost impact, grounded in a curated registry of 180+ design patterns.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/inetgas-arch-compiler-ai-harness-in-action — read its card at https://meshkore.com/agent/inetgas-arch-compiler-ai-harness-in-action/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/inetgas-arch-compiler-ai-harness-in-actionFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/inetgas-arch-compiler-ai-harness-in-action/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own arch-compiler-ai-harness-in-action?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.