openai-docs
Skill1 starsChanged 5 months agoMITView on GitHub
Use for Codex models/pricing, scheduled tasks, skills, settings, setup, troubleshooting, customization, automations, and self-knowledge—including 'you,' 'your,' 'this app,' or 'this coding agent' when they refer to Codex—and for OpenAI APIs/products and ChatGPT Work. Also use for model choice/migration, prompting, SDKs, Responses, Realtime, agents, evals, and Chat/Work/Codex comparisons. Do not use for generic app/software tasks that merely mention Codex.
We split this skill into the rules it gives an agent
8 rules. 0 are common, 5 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 27 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 22
Use the first matching route, and read its reference only when the requested task needs that specialized workflow:
- Distinctive: line 24
Explicitly requested local documentation integration: Read integration guidance only when the user explicitly requests that local …
- Distinctive: line 25
Model migration, upgrades, or model-specific prompting: Read model-migration.md for actual migration planning, implementation, dynamic …
- Distinctive: line 26
Model selection and comparisons: Read model-selection.md only when nuanced current, latest, default, cost, latency, quality, or modality …
- Distinctive: line 30
Read at most one primary reference.
- Very specific: line 34
Search, open, fetch, and cite only developers.openai.com, platform.openai.com, and learn.chatgpt.com.
- Very specific: line 36
Use references/latest-model.md only as a disclosed fallback after current official model guidance does not answer the question.
- Very specific: line 37
Before building, running, editing, debugging, or testing an API-backed app or tool, use openai-platform-api-key first when available.
“Common” is measured: kept by at least 6 in 10 of the 27 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
OpenAI Docs
Provide current, cited OpenAI product, API, model, and Codex guidance. Read zero or one primary reference.
First substantive action: Search the user's exact requested official OpenAI documentation topic and any explicitly named model using a concise, topic-specific query of 2-6 essential terms. When an already-available direct official documentation search and page-retrieval capability is present, use it first: search, then fetch or open the matching official page before general web search. Otherwise, immediately use official-domain web search, then actually open or fetch the relevant official page. Complete this source order before reading a reference, inspecting local or repository files, running a Codex manual or model resolver, drafting a plan, or answering from memory. Use the actual fetched page, not a search snippet or an unopened link. If one official search or page does not establish the answer, search another appropriate official domain and actually open or fetch the result. Preserve the exact requested model; never substitute a newer model.
Only exception: An explicitly requested, genuinely broad, cross-topic Codex setup, orientation, or system-map synthesis may use the manual first when shell execution and an allowed temporary cache are available. A specific Codex feature, setting, command, error, model, or requested citation remains docs-first. Mixed Chat/Work/Codex comparisons are official documentation questions, not manual-first Codex requests.
For generic software tasks, answer the software task directly. OpenAI implementation, debugging, SDK, API, prompting, agent, and eval requests are not generic.
For a straightforward factual or citation-only request, follow the source order and do not read a route reference. This includes straightforward API facts, ChatGPT Work or mixed Chat/Work/Codex comparisons, model tiers, aliases, Pro mode, reasoning settings, factual migration baselines, and narrow Codex facts. Prioritize learn.chatgpt.com for ChatGPT Work.
Choose one primary route
Use the first matching route, and read its reference only when the requested task needs that specialized workflow:
- Explicitly requested local documentation integration: Read integration guidance only when the user explicitly requests that local integration.
- Model migration, upgrades, or model-specific prompting: Read model-migration.md for actual migration planning, implementation, dynamic target resolution, or prompt changes. Preserve an explicitly requested target.
- Model selection and comparisons: Read model-selection.md only when nuanced current, latest, default, cost, latency, quality, or modality tradeoffs need more guidance. Do not run a migration resolver for selection alone.
- Product, API, ChatGPT Work, and mixed Chat/Work/Codex documentation: Read official-docs.md only when fetched official pages leave source selection, API schemas, or the requested implementation unresolved. This route is not manual-first.
- Explicitly broad Codex setup, orientation, or cross-topic synthesis: Read codex-self-knowledge.md when the eligible Codex manual or deeper Codex procedures are needed.
Read at most one primary reference. Do not open every route, bundled model guide, or helper script. Read a supporting reference or run a helper only when the chosen workflow demonstrably needs it.
Source and execution boundaries
- Search, open, fetch, and cite only
developers.openai.com,platform.openai.com, andlearn.chatgpt.com. Cite the page that supports the claim. State uncertainty when official sources do not establish pricing, availability, account access, limits, or behavior. - Preserve an explicitly requested model for selection, migration, and prompting. Resolve an unspecified latest or current migration target only after searching and fetching current official guidance.
- Use
references/latest-model.mdonly as a disclosed fallback after current official model guidance does not answer the question. Readreferences/upgrading-to-gpt-6-astra.mdonly for an actual, requested GPT-6 migration; readreferences/prompting-guide.mdonly for requested prompting work. - Before building, running, editing, debugging, or testing an API-backed app or tool, use
openai-platform-api-keyfirst when available. Documentation, conceptual examples, model selection, and read-only guidance do not require an API key. - Say "OpenAI Docs" or "official OpenAI documentation" in user-facing answers. Keep exact official citations and examples concise.
Trending
Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Other versions29 projects use a version of this.
Word for word · 2
- openai/codex★ 133k100% same
- gdebenedetti/skills★ 0100% same
Edited · 4
- delorenj/skills★ 1898% same
- DeRuiChen258/RL_Infra_skills-openAI★ 398% same
- 0mlkrizzz655335v/claude-skills-zh★ 255% same
- Geruyang/skills★ 285% same
Wrote their own version · 23
- openai/skills★ 27ksame name
- JetBrains/skills★ 386same name
- openai/openai-developers-for-claude★ 29same name
- VoDaiLocz/kilo-kit-mcp★ 28same name
- PracticalSwan/agent-skills★ 22same name
- jorgeasaurus/agent-skills★ 14same name
- openai/openai-developers-for-cursor★ 9same name
- HK-hub/AgentSkills★ 6same name
- Adhamxon/claude-code-skills★ 2same name
- daidaibunny/agent-skills★ 2same name
13 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use atlas, agents-sdk and 2 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
arigaSkillatlas
Database schema management, migrations, data scripts, and Atlas Cloud operations with the Atlas CLI. Use when: generating or applying migrations, diffing, linting, validating, or testing schemas, working with atlas.hcl, schema.hcl, or ORM schemas (GORM, Drizzle, SQLAlchemy, Django, Ent, Sequelize, TypeORM, Prisma), running data backfills, purges, or reports with atlas script, or answering questions about Atlas Cloud: which databases are synced, pending, or failed, recent or failed deployments, what is waiting for deployment, registry repos, and pending plan approvals.
Also in 3 projects that use this
ElasticSkillagents-sdk
Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks.
Also in 3 projects that use this
JetBrainsSkilldoc
Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks.
Also in 3 projects that use this
VercelSkillfind-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Also in 3 projects that use this
In this repository31 other files it gives its agents.
- skills/book-to-skill/AGENTS.mdAGENTS.md
- skills/book-to-skill/CLAUDE.mdCLAUDE.md
- ai-paper-digestSkill
- battery-statusSkill
- book-to-skillSkill
- codebase-mapSkill
- codebase-overviewSkill
- codebase-summarySkill
- concept-wiki-htmlSkill
- frontend-designSkill
- gh-address-commentsSkill
- gh-fix-ciSkill
- githubSkill
- grounded-file-qaSkill
- imagegenSkill
- learn-codebaseSkill
- lecture-note-writerSkill
- ning-python-scientific-plottingSkill
- plugin-creatorSkill
- ponytail-auditSkill
- ponytail-debtSkill
- ponytail-gainSkill
- ponytail-helpSkill
- ponytail-reviewSkill
- ponytailSkill
- repo-quick-scanSkill
- review-agentSkill
- skill-creatorSkill
- skill-installerSkill
- use-code-wikiSkill
- yeetSkill
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

