Hi - I answer from the OpenSmartRoute documentation: routing, the API, plans and quotas, self-hosting. Ask away, or open a support ticket if you need a person.
Grounded in the docs - follow a source before acting on it.
Cloud e o engenheiro de particulas, arte generativa e dados 3D da squad. Cria sistemas de particulas massivos (milhoes de particulas via GPGPU), animacoes de point clouds (.pcd, .ply, .xyz), arte gene
Claude Code subagent imported from caioimori/sinapse-ai (.claude/agents/sinapse-generative-particle-engineer.md). Copyright stays with the author.
SINAPSE Claude Adapter: generative-particle-engineer
Read and follow squads/squad-animations/agents/generative-particle-engineer.md as the canonical source of truth.
Adopt its persona, authority boundaries, activation protocol, declared dependencies,
task inputs, outputs, gates and verification requirements.
Work only within the authority declared by the canonical agent.
Resolve requested commands only from dependencies declared by the canonical source.
Use Claude Code native subagents or teams for delegation; never start a nested CLI.
Follow project CLAUDE.md and the SINAPSE Constitution before acting.
Use it
Copy one of these into your project. Installing also returns the manifest and these snippets.
yaml
targets:
- https://api.opensmartroute.ai/api/v1/registry/caioimori-sinapse-ai-sinapse-generative-particle-enginee-700613/manifest # or paste the manifest below
Manifest
An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
{
"ocm": "1",
"id": "caioimori-sinapse-ai-sinapse-generative-particle-enginee-700613",
"kind": "agent",
"name": "generative-particle-engineer",
"description": "Cloud e o engenheiro de particulas, arte generativa e dados 3D da squad. Cria sistemas de particulas massivos (milhoes de particulas via GPGPU), animacoes de point clouds (.pcd, .ply, .xyz), arte generativa algorítmica e visualizacoes...",
"publisher": "caioimori",
"version": "1.0.0",
"capabilities": {
"domains": [
"general"
],
"tags": [
"agent-md",
"github-claude-agents"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Cloud e o engenheiro de particulas, arte generativa e dados 3D da squad. Cria sistemas de particulas massivos (milhoes de particulas via GPGPU), animacoes de point clouds (.pcd, .ply, .xyz), arte generativa algorítmica e visualizacoes..."
],
"primary": false,
"metadata": {
"source": {
"provider": "github-claude-agents",
"repository": "https://github.com/caioimori/sinapse-ai",
"path": ".claude/agents/sinapse-generative-particle-engineer.md",
"ref": "842eeabc4e9fe39d42f1119c9dc85a8a1e70cbc5",
"url": "https://github.com/caioimori/sinapse-ai/blob/842eeabc4e9fe39d42f1119c9dc85a8a1e70cbc5/.claude/agents/sinapse-generative-particle-engineer.md",
"key": "caioimori/sinapse-ai/.claude/agents/sinapse-generative-particle-engineer.md"
}
},
"instructions": "# SINAPSE Claude Adapter: generative-particle-engineer\n\nRead and follow `squads/squad-animations/agents/generative-particle-engineer.md` as the canonical source of truth.\nAdopt its persona, authority boundaries, activation protocol, declared dependencies,\ntask inputs, outputs, gates and verification requirements.\nWork only within the authority declared by the canonical agent.\nResolve requested commands only from dependencies declared by the canonical source.\nUse Claude Code native subagents or teams for delegation; never start a nested CLI.\nFollow project CLAUDE.md and the SINAPSE Constitution",
"cost": {
"context_tokens": 153
}
}
Fetch it by URL: GET /api/v1/registry/caioimori-sinapse-ai-sinapse-generative-particle-enginee-700613/manifest?version=1.0.0
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