openai-docs
Skill0 starsChanged 27 days agoMITView on GitHub
Research OpenAI APIs, models, and product behavior using current official documentation. Use for OpenAI integration or product questions, not Amplifier self-knowledge.
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 29 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Use mounted search/fetch tools or an authorized documentation connector to find the user's specific topic on official OpenAI sources.
- Very specific: line 15
If no fetch tool is mounted but an authorized process tool has network access, retrieve a known official HTTPS page with curl or Python's …
- Distinctive: line 17
Check status and final URL, retain the supporting response for inspection, and verify redirects remain on an official documentation domain.
- Distinctive: line 22
Check changing details such as models, prices, limits, and supported parameters against current pages.
- Distinctive: line 31
When the user says "this app" inside Amplifier, inspect Amplifier's own contracts.
“Common” is measured: kept by at least 6 in 10 of the 29 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 documentation
Use mounted search/fetch tools or an authorized documentation connector to find the user's specific topic on official OpenAI sources. Fetch the supporting page, not only its search snippet. Prefer developers.openai.com and platform.openai.com for APIs; use the product's official documentation for ChatGPT and Codex.
If no fetch tool is mounted but an authorized process tool has network access,
retrieve a known official HTTPS page with curl or Python's urllib.request.
Check status and final URL, retain the supporting response for inspection, and
verify redirects remain on an official documentation domain. This provides
direct retrieval, not a search engine or an authenticated product connector.
Preserve explicitly requested models, endpoint versions, and product context. Check changing details such as models, prices, limits, and supported parameters against current pages. Keep citations adjacent to the claims they support. Distinguish documented behavior from inference and runtime observations. If the source cannot be fetched, state the limit rather than supplying invented links or calling stale knowledge current.
For implementation, inspect the actual SDK and host integration. Keep API keys in the host's authorized secret configuration. Do not treat Codex-only tools, ChatGPT product features, or subscription benefits as public API capabilities. When the user says "this app" inside Amplifier, inspect Amplifier's own contracts; this skill does not redefine the current host as Codex.
Other versions29 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 29
- openai/codex★ 133ksame name
- 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
- delorenj/skills★ 18same name
- jorgeasaurus/agent-skills★ 14same name
- openai/openai-developers-for-cursor★ 9same name
- HK-hub/AgentSkills★ 6same name
19 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 review-agent, atlas and 3 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.
OpenAISkillreview-agent
Perform a read-only, defect-first review of a specified code change and return every actionable finding. Use when another agent delegates review of uncommitted changes, a base-branch diff, a commit, or custom review instructions.
Also in 3 projects that use this
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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 repository32 other files it gives its agents.
- AGENTS.mdAGENTS.md
- artifact-template-analytics-dashboardSkill
- artifact-template-business-reviewSkill
- artifact-template-design-reportSkill
- artifact-template-experiment-analysisSkill
- artifact-template-financial-budgetSkill
- artifact-template-investment-committee-memoSkill
- artifact-template-legal-memorandumSkill
- artifact-template-market-trends-reportSkill
- artifact-template-minimal-letterheadSkill
- artifact-template-operating-calendarSkill
- artifact-template-operating-reviewSkill
- artifact-template-project-kickoffSkill
- artifact-template-project-trackerSkill
- artifact-template-sales-pipelineSkill
- artifact-template-simple-dark-modeSkill
- artifact-template-simple-light-modeSkill
- artifact-template-strategy-memorandumSkill
- artifact-template-system-designSkill
- artifact-template-team-alignmentSkill
- artifact-template-three-statement-forecastSkill
- documentsSkill
- excel-live-controlSkill
- pdfSkill
- plugin-creatorSkill
- plugin-managementSkill
- presentationsSkill
- skill-creatorSkill
- skill-installerSkill
- spreadsheetsSkill
- template-creatorSkill
- visualizeSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
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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.

