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Skillv1.0.0

llm-structured-output

Design prompts, schemas, validation, and recovery logic for reliable machine-readable model outputs. Use when generating JSON, typed objects, extraction results, tool arguments, or any output another

by shipshitdev(0) 0 installs
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About

Imported from shipshitdev/skills (skills/llm-structured-output/SKILL.md). Install upstream with npx skills add shipshitdev/skills --skill llm-structured-output. Copyright stays with the author.

LLM Structured Output

Build structured-output flows that downstream software can parse reliably.

Use This Skill For

  • JSON or typed-object output from a model
  • Data extraction pipelines
  • Function or tool argument generation
  • Prompt contracts that feed downstream automation
  • Validation and retry strategies for malformed model output

Workflow

1. Start With the Consumer

  • Identify exactly what the downstream system needs
  • Define required fields, optional fields, enums, and limits
  • Keep the schema as small as possible

2. Make the Contract Explicit

  • Provide the model with the expected structure
  • State field meanings and constraints clearly
  • Prefer deterministic formats over prose-plus-JSON hybrids
  • If a field is free-form, bound it with type, length, or examples

3. Validate Everything

  • Parse strictly
  • Reject unknown or malformed shapes when correctness matters
  • Validate enums, ranges, array sizes, and nested objects
  • Treat structured output as untrusted input until validated

4. Design Recovery Paths

  • Retry with the validation error when the output is close
  • Fall back to a smaller schema if the original is too complex
  • Log invalid outputs for inspection
  • Avoid silent coercion that hides model mistakes

5. Optimize for Reliability

  • Break large tasks into smaller structured steps
  • Separate reasoning from final machine-readable output when needed
  • Prefer schemas with stable keys and low ambiguity
  • Remove optional fields that are not actually useful

Rules

  • Do not ask for markdown fences around JSON unless the consumer needs them
  • Do not mix human-facing commentary into machine-facing payloads
  • Prefer enums over natural-language categories
  • Prefer arrays of objects over encoded strings
  • Make nullability intentional, not accidental

Common Failure Modes

  • Schema too broad for the task
  • Required fields that the model cannot infer
  • Free-text values that should be enums
  • Nested output with no examples or constraints
  • Parsers that accept bad data and fail later in the pipeline

Output

When using this skill, produce:

  • The target schema or shape
  • The prompt contract for generating it
  • The validation and retry plan
  • Any reliability risks or edge cases

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/shipshitdev-skills-llm-structured-output/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.

shipshitdev-skills-llm-structured-output.ocm.jsonjson
{
  "ocm": "1",
  "id": "shipshitdev-skills-llm-structured-output",
  "kind": "skill",
  "name": "llm-structured-output",
  "description": "Design prompts, schemas, validation, and recovery logic for reliable machine-readable model outputs. Use when generating JSON, typed objects, extraction results, tool arguments, or any output another system must parse safely.",
  "publisher": "shipshitdev",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "llm",
      "structured-output",
      "json",
      "prompt-engineering",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Design prompts, schemas, validation, and recovery logic for reliable machine-readable model outputs. Use when generating JSON, typed objects, extraction results, tool arguments, or any output another system must parse safely."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/shipshitdev/skills",
      "path": "skills/llm-structured-output/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/shipshitdev/skills/blob/HEAD/skills/llm-structured-output/SKILL.md",
      "key": "shipshitdev/skills/skills/llm-structured-output/SKILL.md"
    }
  },
  "instructions": "# LLM Structured Output\n\nBuild structured-output flows that downstream software can parse reliably.\n\n## Use This Skill For\n\n- JSON or typed-object output from a model\n- Data extraction pipelines\n- Function or tool argument generation\n- Prompt contracts that feed downstream automation\n- Validation and retry strategies for malformed model output\n\n## Workflow\n\n### 1. Start With the Consumer\n\n- Identify exactly what the downstream system needs\n- Define required fields, optional fields, enums, and limits\n- Keep the schema as small as possible\n\n### 2. Make the Contract Explicit\n\n- Provide the model ",
  "cost": {
    "context_tokens": 565
  }
}

Fetch it by URL: GET /api/v1/registry/shipshitdev-skills-llm-structured-output/manifest?version=1.0.0

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