Awesome-omni-skill moltrouter-protocol

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.

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/tools/moltrouter-protocol" ~/.claude/skills/diegosouzapw-awesome-omni-skill-moltrouter-protocol && rm -rf "$T"
manifest: skills/tools/moltrouter-protocol/SKILL.md
source content

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.md
    for message envelopes, content types, and routing concepts.
  • Use
    references/schemas.md
    for capability manifests, offers, and evidence structures.
  • Use
    references/endpoints.md
    for discovery and negotiation endpoints plus curl examples.
  • Use
    references/auth.md
    ,
    references/payments.md
    , and
    references/errors.md
    for auth, payment intents, and error handling.
  • Use
    references/jobs.md
    ,
    references/registry.md
    ,
    references/task-graph.md
    , and
    references/rate-limits.md
    for 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 (
    curl
    or
    npx
    ) 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.