moltrouter-protocol
thorthur22/moltrouterDesign, implement, or document Moltrouter Protocol (MRP) for agent-native discovery, capability manifests, negotiation flows, routing graphs, and evidence/provenance. Use when creating MRP specs, adding endpoints or schemas, drafting manifests, or generating curl/npm-style usage examples for agent-to-agent tooling.
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SKILL.md
name: moltrouter-protocol description: "Design, implement, or document Moltrouter Protocol (MRP) for agent-native discovery, capability manifests, negotiation flows, routing graphs, and evidence/provenance. Use when creating MRP specs, adding endpoints or schemas, drafting manifests, or generating curl/npm-style usage examples for agent-to-agent tooling."
Moltrouter Protocol Skill
Follow this workflow to design or extend MRP artifacts for agent-native discovery and routing.
1) Clarify scope and target
- Identify whether the request is for spec, service implementation, client tooling, or registry.
- Confirm the transport target (HTTP/2, QUIC, libp2p) and required content types.
2) Use the protocol reference
- Use the core spec in
references/protocol.mdfor message envelopes, content types, and routing concepts. - Use
references/schemas.mdfor capability manifests, offers, and evidence structures. - Use
references/endpoints.mdfor discovery and negotiation endpoints plus curl examples. - Use
references/auth.md,references/payments.md, andreferences/errors.mdfor auth, payment intents, and error handling. - Use
references/jobs.md,references/registry.md,references/task-graph.md, andreferences/rate-limits.mdfor async flows, discovery, routing, and quotas.
3) Produce artifacts in a standard format
- Emit JSON schemas or manifest examples when asked to define a capability.
- Include negotiation constraints (policy, budget, proof requirements) explicitly.
- Provide agent-usable CLI examples (
curlornpx) when requested.
4) Validate consistency
- Ensure message types and fields align with the envelope in
references/protocol.md. - Ensure endpoints link back to the discovery flow and offer/execute lifecycle.
5) Keep outputs agent-native
- Prefer declarative structures (intent, capabilities, proofs) over prose.
- Include provenance and evidence fields whenever output represents an execution.