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OpenSmartRoute
Skillv1.0.0

.agents

The application should prioritize deterministic post-processing over repeated AI generation.

by SriharshaSwami(0) 0 installs
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About

Imported from SriharshaSwami/placement-pilot-ai (.agents/AGENTS.md). Install upstream with npx skills add SriharshaSwami/placement-pilot-ai --skill .agents. Copyright stays with the author.

Resume Fit Rules

The application should prioritize deterministic post-processing over repeated AI generation.

Never repeatedly invoke Gemini to make incremental layout adjustments.

The preferred pipeline is: Generate Once -> Render -> Measure -> Deterministic Compression -> Render Again -> Export

Only if deterministic compression fails should ONE optional AI compression pass be executed.

Repeated AI retries for layout fitting are prohibited because they increase cost without providing proportional value.

The system should optimize for:

  1. Tailoring quality
  2. ATS compatibility
  3. Single-page layout
  4. AI cost efficiency
  5. Predictable rendering

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/sriharshaswami-placement-pilot-ai-agents/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.

sriharshaswami-placement-pilot-ai-agents.ocm.jsonjson
{
  "ocm": "1",
  "id": "sriharshaswami-placement-pilot-ai-agents",
  "kind": "skill",
  "name": ".agents",
  "description": "The application should prioritize deterministic post-processing over repeated AI generation.",
  "publisher": "SriharshaSwami",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "github-agents"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "The application should prioritize deterministic post-processing over repeated AI generation."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github-agents",
      "repository": "https://github.com/SriharshaSwami/placement-pilot-ai",
      "path": ".agents/AGENTS.md",
      "ref": "7a04f47f8e33c3713c8f95a705e442869b35bb23",
      "url": "https://github.com/SriharshaSwami/placement-pilot-ai/blob/7a04f47f8e33c3713c8f95a705e442869b35bb23/.agents/AGENTS.md",
      "key": "SriharshaSwami/placement-pilot-ai/.agents/AGENTS.md"
    }
  },
  "instructions": "## Resume Fit Rules\n\nThe application should prioritize deterministic post-processing over repeated AI generation.\n\nNever repeatedly invoke Gemini to make incremental layout adjustments.\n\nThe preferred pipeline is:\nGenerate Once -> Render -> Measure -> Deterministic Compression -> Render Again -> Export\n\nOnly if deterministic compression fails should ONE optional AI compression pass be executed.\n\nRepeated AI retries for layout fitting are prohibited because they increase cost without providing proportional value.\n\nThe system should optimize for:\n1. Tailoring quality\n2. ATS compatibility\n3. Sing",
  "cost": {
    "context_tokens": 165
  }
}

Fetch it by URL: GET /api/v1/registry/sriharshaswami-placement-pilot-ai-agents/manifest?version=1.0.0

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