[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M753YAP95W4K2MCEAEEAV6YA":3,"skill-same:01M753YAP95W4K2MCEAEEAV6YA":60},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":24,"commitSha":25,"skillDirectory":26,"forksCount":14,"repositoryHtmlUrl":27,"repositoryHomepageUrl":6,"ownerHtmlUrl":28,"ownerBlogUrl":29,"ownerDescription":30,"updatedAt":31,"install":32,"resources":45},"01M753YAP95W4K2MCEAEEAV6YA","to-prompt-gpt",null,"Use when preparing or rewriting prompts for GPT-5.5, OpenAI API agents, Responses workflows, coding agents, research synthesis, support assistants, or model-specific prompt optimization. Do not use for Claude\u002FOpus prompts or raw context packaging without GPT-specific tuning.","haryelramalho\u002Fskills","haryelramalho","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F38708454?v=4","01M753ESC6XNS6GXGV5X9YMKGA","Haryel Ramalho","01M753ESCSPRNDTEJRVRYY1VJ0",0,"MIT","https:\u002F\u002Fgithub.com\u002Fharyelramalho\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fmine\u002Fto-prompt-gpt\u002FSKILL.md",[],[],"2026-11-12 13:55:43",false,"---\nname: to-prompt-gpt\ndescription: Use when preparing or rewriting prompts for GPT-5.5, OpenAI API agents, Responses workflows, coding agents, research synthesis, support assistants, or model-specific prompt optimization. Do not use for Claude\u002FOpus prompts or raw context packaging without GPT-specific tuning.\n---\n\n# To Prompt GPT\n\nTransform a user request, rough context, or existing prompt into a GPT-5.5-ready prompt.\n\n## Required Reading Router\n\nMatch the task to every applicable row. Read the listed files **in full before** producing output. They are load-bearing; inline guidance is only a router.\n\n| Task | MUST read |\n| --- | --- |\n| Any GPT-5.5 prompt rewrite | `references\u002Fgpt-5.5-guidance.md` + `references\u002Foutput-template.md` |\n| Raw, incomplete, or issue-like context | Apply `to-prompt` behavior first, then read `references\u002Fgpt-5.5-guidance.md` + `references\u002Foutput-template.md` |\n| OpenAI API, Responses, tool, retrieval, validation, or runtime prompt | `references\u002Fgpt-5.5-guidance.md` |\n| Missing critical context | `references\u002Foutput-template.md` |\n\n## Reference Index\n\n- `references\u002Fgpt-5.5-guidance.md`: GPT-5.5-specific prompt-shaping rules from OpenAI guidance.\n- `references\u002Foutput-template.md`: Final prompt template and missing-context question format.\n\n## Operating Procedure\n\n1. Classify the input as raw context, structured prompt, or blocked by missing context.\n   - Raw context includes bugs, issues, repo notes, scattered requirements, logs, or code snippets.\n   - Structured prompts already contain goal, context, constraints, and output requirements.\n   - Blocked requests lack the target task, audience, source material, or success criteria.\n   **STOP. Read `references\u002Foutput-template.md` in full before deciding whether to ask questions or produce the final prompt.** The bullets above are tripwires, not the output contract.\n\n2. For raw context, first apply `to-prompt` behavior without force-loading it: gather problem, current state, requirements, constraints, evidence, files, logs, tests, and success criteria. Do not add implementation advice unless the user explicitly asks the receiving model to propose an implementation.\n\n3. Refine for GPT-5.5.\n   - Make the prompt outcome-first.\n   - Remove process-heavy scaffolding that does not change behavior.\n   - Add validation, grounding, retrieval, tool, or runtime instructions only when relevant to the target task.\n   **STOP. Read `references\u002Fgpt-5.5-guidance.md` in full before writing the final GPT-5.5 prompt.** These bullets are tripwires, not the source of truth.\n\n4. Produce only the final artifact.\n   - If context is sufficient, output the prompt and no commentary.\n   - If context is insufficient, output concise questions and no speculative prompt.\n   - Preserve the user's language unless the user asks for another language.\n   **STOP. Read `references\u002Foutput-template.md` in full before formatting the final answer.** The template file is the contract.\n\n## Error Handling\n\n- If the user asks for Claude, Opus, Anthropic, or XML-first prompting, stop and use `to-prompt-opus` instead.\n- If the request only asks for neutral context packaging, use `to-prompt` instead.\n- If official model guidance is needed and may have changed, verify the current OpenAI documentation before relying on cached rules.\n","# To Prompt GPT\n\nTransform a user request, rough context, or existing prompt into a GPT-5.5-ready prompt.\n\n## Required Reading Router\n\nMatch the task to every applicable row. Read the listed files **in full before** producing output. They are load-bearing; inline guidance is only a router.\n\n| Task | MUST read |\n| --- | --- |\n| Any GPT-5.5 prompt rewrite | `references\u002Fgpt-5.5-guidance.md` + `references\u002Foutput-template.md` |\n| Raw, incomplete, or issue-like context | Apply `to-prompt` behavior first, then read `references\u002Fgpt-5.5-guidance.md` + `references\u002Foutput-template.md` |\n| OpenAI API, Responses, tool, retrieval, validation, or runtime prompt | `references\u002Fgpt-5.5-guidance.md` |\n| Missing critical context | `references\u002Foutput-template.md` |\n\n## Reference Index\n\n- `references\u002Fgpt-5.5-guidance.md`: GPT-5.5-specific prompt-shaping rules from OpenAI guidance.\n- `references\u002Foutput-template.md`: Final prompt template and missing-context question format.\n\n## Operating Procedure\n\n1. Classify the input as raw context, structured prompt, or blocked by missing context.\n   - Raw context includes bugs, issues, repo notes, scattered requirements, logs, or code snippets.\n   - Structured prompts already contain goal, context, constraints, and output requirements.\n   - Blocked requests lack the target task, audience, source material, or success criteria.\n   **STOP. Read `references\u002Foutput-template.md` in full before deciding whether to ask questions or produce the final prompt.** The bullets above are tripwires, not the output contract.\n\n2. For raw context, first apply `to-prompt` behavior without force-loading it: gather problem, current state, requirements, constraints, evidence, files, logs, tests, and success criteria. Do not add implementation advice unless the user explicitly asks the receiving model to propose an implementation.\n\n3. Refine for GPT-5.5.\n   - Make the prompt outcome-first.\n   - Remove process-heavy scaffolding that does not change behavior.\n   - Add validation, grounding, retrieval, tool, or runtime instructions only when relevant to the target task.\n   **STOP. Read `references\u002Fgpt-5.5-guidance.md` in full before writing the final GPT-5.5 prompt.** These bullets are tripwires, not the source of truth.\n\n4. Produce only the final artifact.\n   - If context is sufficient, output the prompt and no commentary.\n   - If context is insufficient, output concise questions and no speculative prompt.\n   - Preserve the user's language unless the user asks for another language.\n   **STOP. Read `references\u002Foutput-template.md` in full before formatting the final answer.** The template file is the contract.\n\n## Error Handling\n\n- If the user asks for Claude, Opus, Anthropic, or XML-first prompting, stop and use `to-prompt-opus` instead.\n- If the request only asks for neutral context packaging, use `to-prompt` instead.\n- If official model guidance is needed and may have changed, verify the current OpenAI documentation before relying on cached rules.\n",{"name":5,"description":7},"main","a5b533be2d244bbf3e5606e851742f0e0ba99423","skills\u002Fmine\u002Fto-prompt-gpt","https:\u002F\u002Fgithub.com\u002Fharyelramalho\u002Fskills","https:\u002F\u002Fgithub.com\u002Fharyelramalho","linkedin.com\u002Fin\u002Fharyelramalho\u002F","Software Engineer @ SKORR •  Former Vice President of the Junior Computer Association - TecnoJr","2026-07-16 01:34:58",{"source":8,"skillName":5,"commands":33,"prompt":43,"zipAvailable":44},[34,37,40],{"tool":35,"command":36},"npx","npx skills add haryelramalho\u002Fskills --skill to-prompt-gpt",{"tool":38,"command":39},"bunx","bunx skills add haryelramalho\u002Fskills --skill to-prompt-gpt",{"tool":41,"command":42},"pnpm","pnpm dlx skills add haryelramalho\u002Fskills --skill to-prompt-gpt","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fharyelramalho\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fmine\u002Fto-prompt-gpt\u002FSKILL.md",true,[46,52,56],{"path":47,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":50,"sourceHtmlUrl":51},"agents\u002Fopenai.yaml","REFERENCE","参考文档",187,"https:\u002F\u002Fgithub.com\u002Fharyelramalho\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fmine\u002Fto-prompt-gpt\u002Fagents\u002Fopenai.yaml",{"path":53,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":54,"sourceHtmlUrl":55},"references\u002Fgpt-5.5-guidance.md",3250,"https:\u002F\u002Fgithub.com\u002Fharyelramalho\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fmine\u002Fto-prompt-gpt\u002Freferences\u002Fgpt-5.5-guidance.md",{"path":57,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":58,"sourceHtmlUrl":59},"references\u002Foutput-template.md",1666,"https:\u002F\u002Fgithub.com\u002Fharyelramalho\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fmine\u002Fto-prompt-gpt\u002Freferences\u002Foutput-template.md",[61,68,75,82,89,96],{"skillNo":62,"name":63,"nameZh":6,"description":64,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":65,"categories":66,"keywords":67,"publishedAt":19},"01M753YDMKSDB7320THEQ2CVW5","to-prompt-opus","Use when preparing or rewriting prompts for Claude Opus 4.8, Anthropic API agents, XML-structured prompts, long-context document work, coding agents, research synthesis, frontend\u002Fdesign tasks, or model-specific prompt optimization. Do not use for GPT\u002FOpenAI prompts or raw context packaging without Opus-specific tuning.","https:\u002F\u002Fgithub.com\u002Fharyelramalho\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fmine\u002Fto-prompt-opus\u002FSKILL.md",[],[],{"skillNo":69,"name":70,"nameZh":6,"description":71,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":72,"categories":73,"keywords":74,"publishedAt":19},"01M753Y700AZ0GVJDNW9Q1Q54F","plan-refactor-qa","Plans and runs qa-report before executing Compozy refactor tasks. Use when the user provides a refactor or issue slug and wants Codex to inspect the matching .compozy\u002Ftasks directory, related PRD\u002FTechSpec\u002FADR\u002Ftask artifacts, affected code, and existing tests, then invoke $qa-report with a repository-grounded prompt. Do not use to run tests, execute qa-execution, implement code, or perform post-refactor verification.","https:\u002F\u002Fgithub.com\u002Fharyelramalho\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fmine\u002Fplan-refactor-qa\u002FSKILL.md",[],[],{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":81,"publishedAt":19},"01M753XZENG0Z8S2ET75EM8CGB","multi-tool-branch-review","Orchestrates a multi-tool branch review of the current git branch against a base branch. By default it runs two independent thermo-nuclear maintainability audits, one on Codex GPT-5.5 xhigh and one on Claude Opus xhigh, then consolidates the findings into a single remediation plan via writing-plans. If the user explicitly asks for native reviews, it can add the Claude native review pass, the Codex native review pass, or both. Use when the user wants a deep cross-model review of a branch or PR before merge, or asks to review this branch with multiple tools or models. Encodes known infra failure modes and their fixes (missing Claude ACP adapter, Codex MCP auth hangs, false-positive report files, long jobs orphaned inside subagents). Do not use for reviewing a single uncommitted snippet, for non-git work, for running only one reviewer, or when the user only wants a quick lint or test run.","https:\u002F\u002Fgithub.com\u002Fharyelramalho\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fmine\u002Fmulti-tool-branch-review\u002FSKILL.md",[],[],{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":88,"publishedAt":19},"01M753XQM40XCK55BH5WPA88EW","create-pr-with-template","Create a GitHub Pull Request with gh CLI and prefer repository PR templates automatically. Use this whenever the user asks to open\u002Fcreate a PR, especially when template compliance is needed. If multiple templates exist, ask the user which template to use.","https:\u002F\u002Fgithub.com\u002Fharyelramalho\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fmine\u002Fcreate-pr-with-template\u002FSKILL.md",[],[],{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":95,"publishedAt":19},"01M753XJMBJ8VFPRCDCC1JJ9G4","ui-craft","Provides guardrails for user-facing UI work: usability heuristics, accessibility floors, design-system discipline, component states, microcopy, motion, dark mode, responsive behavior, and human-AI UX. Use when designing, generating, reviewing, or refactoring visible product surfaces such as components, pages, dashboards, forms, dialogs, loading\u002Fempty\u002Ferror states, or AI interfaces. Do not use for backend-only work, infrastructure, CLI\u002FTUI design, or pure documentation editing.","https:\u002F\u002Fgithub.com\u002Fharyelramalho\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcurated\u002Fui-craft\u002FSKILL.md",[],[],{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":100,"categories":101,"keywords":102,"publishedAt":19},"01M753XD1NERX9S3VMYQCXHJ1Y","typescript-advanced","Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript projects. Don't use for plain JavaScript, runtime validation libraries (Zod, Yup), or basic TypeScript syntax questions.","https:\u002F\u002Fgithub.com\u002Fharyelramalho\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcurated\u002Ftypescript-advanced\u002FSKILL.md",[],[]]