Gets machine-parseable JSON out of an LLM reliably — prefer provider-enforced grammar (OpenAI responseformat:{type:"jsonschema",strict:true}, Anthropic tool-calling / toolchoice:{type:"tool"}, Gemini responseSchema) over a "respond in JSON" prompt, define the contract once as a Pydantic/Zod model and validate every response (never trust the string), use constrained decoding / grammars for open weights (Outlines, llguidance, llama.cpp GBNF, vLLM guidedjson), keep schemas SHALLOW with required fields + enums + additionalProperties:false, and build a repair-and-retry loop that handles refusals, length/maxtokens truncation, and streaming partial JSON (partial-json-parser). Schema-guided generation eliminates parse-error retries; validate-and-repair is the backstop, not the primary mechanism.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Gets machine-parseable JSON out of an LLM reliably — prefer provider-enforced grammar (OpenAI responseformat:{type:"jsonschema",strict:true}, Anthropic tool-calling / toolchoice:{type:"tool"}, Gemini responseSchema) over a "respond in JSON" prompt, define the contract once as a Pydantic/Zod model and validate every response (never trust the string), use constrained decoding / grammars for open weights (Outlines, llguidance, llama.cpp GBNF, vLLM guidedjson), keep schemas SHALLOW with required fields + enums + additionalProperties:false, and build a repair-and-retry loop that handles refusals, length/maxtokens truncation, and streaming partial JSON (partial-json-parser). Schema-guided generation eliminates parse-error retries; validate-and-repair is the backstop, not the primary mechanism.
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Gets machine-parseable JSON out of an LLM reliably — prefer provider-enforced grammar (OpenAI `response_format:{type:"json_schema",strict:true}`, Anthropic tool-calling / `tool_choice:{type:"tool"}`, Gemini `responseSchema`) over a "respond in JSON" prompt, define the contract once as a Pydantic/Zod model and validate every response (never trust the string), use constrained decoding / grammars for open weights (Outlines, llguidance, llama.cpp GBNF, vLLM `guided_json`), keep schemas SHALLOW with required fields + enums + `additionalProperties:false`, and build a repair-and-retry loop that handles refusals, `length`/`max_tokens` truncation, and streaming partial JSON (`partial-json-parser`). Schema-guided generation eliminates parse-error retries; validate-and-repair is the backstop, not the primary mechanism.
About this listing
Category
General
Reported license
Apache-2.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.