Codex with ChatGPT Planning Loop
XiaoDuoYa/codex-with-chatgpt
Uses ChatGPT in the browser as the planning and review brain for a Codex session, with Codex keeping all execution and ChatGPT reading the workspace through a bridge.
Creates an SVG weather card showing the current temperature and writes it to orchestration-workflow/weather.svg and orchestration-workflow/output.md
$ npx skills add shanraisshan/codex-cli-best-practice --skill weather-svg-creator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install shanraisshan/codex-cli-best-practice weather-svg-creator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/shanraisshan/codex-cli-best-practice.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/weather-svg-creator .claude/skills/weather-svg-creator && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "weather-svg-creator" agent skill from https://github.com/shanraisshan/codex-cli-best-practice/tree/main/.agents/skills/weather-svg-creator into .claude/skills/weather-svg-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather-svg-creator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/shanraisshan/codex-cli-best-practice/tree/main/.agents/skills/weather-svg-creatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add shanraisshan/codex-cli-best-practice --skill weather-svg-creator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install shanraisshan/codex-cli-best-practice weather-svg-creator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shanraisshan/codex-cli-best-practice.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/weather-svg-creator .agents/skills/weather-svg-creator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "weather-svg-creator" agent skill from https://github.com/shanraisshan/codex-cli-best-practice/tree/main/.agents/skills/weather-svg-creator into .agents/skills/weather-svg-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather-svg-creator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add shanraisshan/codex-cli-best-practice --skill weather-svg-creator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install shanraisshan/codex-cli-best-practice weather-svg-creator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shanraisshan/codex-cli-best-practice.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/weather-svg-creator .cursor/skills/weather-svg-creator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "weather-svg-creator" agent skill from https://github.com/shanraisshan/codex-cli-best-practice/tree/main/.agents/skills/weather-svg-creator into .cursor/skills/weather-svg-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather-svg-creator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/shanraisshan/codex-cli-best-practice.git --path .agents/skills/weather-svg-creator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add shanraisshan/codex-cli-best-practice --skill weather-svg-creator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install shanraisshan/codex-cli-best-practice weather-svg-creator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shanraisshan/codex-cli-best-practice.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/weather-svg-creator .gemini/skills/weather-svg-creator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "weather-svg-creator" agent skill from https://github.com/shanraisshan/codex-cli-best-practice/tree/main/.agents/skills/weather-svg-creator into .gemini/skills/weather-svg-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather-svg-creator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install shanraisshan/codex-cli-best-practice weather-svg-creatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add shanraisshan/codex-cli-best-practice --skill weather-svg-creator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/shanraisshan/codex-cli-best-practice.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/weather-svg-creator .github/skills/weather-svg-creator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "weather-svg-creator" agent skill from https://github.com/shanraisshan/codex-cli-best-practice/tree/main/.agents/skills/weather-svg-creator into .github/skills/weather-svg-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather-svg-creator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add shanraisshan/codex-cli-best-practice --skill weather-svg-creator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install shanraisshan/codex-cli-best-practice weather-svg-creator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shanraisshan/codex-cli-best-practice.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/weather-svg-creator .opencode/skills/weather-svg-creator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "weather-svg-creator" agent skill from https://github.com/shanraisshan/codex-cli-best-practice/tree/main/.agents/skills/weather-svg-creator into .opencode/skills/weather-svg-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather-svg-creator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
weather-svg-creatorCreates an SVG weather card showing the current temperature and writes it to orchestration-workflow/weather.svg and orchestration-workflow/output.md
Weather SVG Creator is an agent skill from shanraisshan/codex-cli-best-practice. Creates an SVG weather card showing the current temperature and writes it to orchestration-workflow/weather.svg and orchestration-workflow/output.md
Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows. It works with OpenAI. The repository describes itself as: from vibe coding to agentic engineering - practice makes codex perfect. The licence is MIT.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit b79f473. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are svg and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
w3.orgopen-meteo.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Weather SVG Creator loads about 630 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 173 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from shanraisshan/codex-cli-best-practice at commit b79f473, republished under its MIT licence (© shanraisshan). 173 words, ~630 tokens.
.claude/skills/weather-svg-creator/SKILL.md (or your agent's skills folder).This skill creates an SVG weather card from provided temperature data.
Create an SVG weather card displaying the temperature for a given city and write it to the output files.
You will receive the temperature value, unit (Celsius or Fahrenheit), and city name from the calling context.
Generate a clean SVG weather card with the following structure:
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 400 200" width="400" height="200">
<rect width="400" height="200" rx="12" fill="#1a1a2e"/>
<text x="200" y="50" text-anchor="middle" fill="#e0e0e0" font-family="system-ui" font-size="16">[City Name]</text>
<text x="200" y="110" text-anchor="middle" fill="white" font-family="system-ui" font-size="48" font-weight="bold">[value]°[C/F]</text>
<text x="200" y="150" text-anchor="middle" fill="#888" font-family="system-ui" font-size="12">[Current date and time]</text>
<text x="200" y="185" text-anchor="middle" fill="#555" font-family="system-ui" font-size="10">Weather data from Open-Meteo API</text>
</svg>Replace [value], [C/F], [City Name] with actual values from the input.
Write the SVG content to orchestration-workflow/weather.svg.
Also write a markdown summary to orchestration-workflow/output.md:
# Weather Report

**Location**: [City Name]
**Temperature**: [value]°[C/F]
**Fetched At**: [Current date and time in ISO 8601 format]
> Weather data provided by [Open-Meteo API](https://open-meteo.com/)orchestration-workflow/ directory if it does not existTemperature value, unit, and city from the calling agent:
Temperature: [X]°[C/F]
City: [City Name]
Unit: [Celsius/Fahrenheit]Two files written:
orchestration-workflow/weather.svg — SVG weather cardorchestration-workflow/output.md — Markdown report embedding the SVGorchestration-workflow/ directory© shanraisshan, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/weather-svg-creator of shanraisshan/codex-cli-best-practice.
Open the folder on GitHubat commit b79f473
Weather SVG Creator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Weather SVG Creator this skillshanraisshan/codex-cli-best-practice | 1k | — | ~630 | Automated safety check: Pass | MIT | |
| Codex with ChatGPT Planning LoopXiaoDuoYa/codex-with-chatgpt | 7.2k | — | ~11k | Automated safety check: Notes | MIT | |
| Nagentdavidondrej/skills | 4.1k | — | ~1.7k | Automated safety check: Notes | MIT | |
| Cao MCP Appsawslabs/cli-agent-orchestrator | 1.4k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| LLM Councilgcpdev/llm-council-skill | 461 | — | ~1k | Automated safety check: Notes | MIT | |
| Daily Logsmemodb-io/Acontext | 3.7k | — | ~243 | Automated safety check: Pass | Apache-2.0 |
XiaoDuoYa/codex-with-chatgpt
Uses ChatGPT in the browser as the planning and review brain for a Codex session, with Codex keeping all execution and ChatGPT reading the workspace through a bridge.
davidondrej/skills
Launch a new bb worker thread with the right project, model, worktree, and task brief.
awslabs/cli-agent-orchestrator
Enable, operate, and extend CAO's MCP Apps surface — the host-rendered fleet dashboard visible inside MCP App hosts (Claude Desktop, ChatGPT, VS Code Copilot, Goose, Postman).
gcpdev/llm-council-skill
Multi-LLM collaborative brainstorming and planning. An agent skill from gcpdev/llm-council-skill.
memodb-io/Acontext
Track daily activity logs and summaries for the user. An agent skill from memodb-io/Acontext.
Haohao-end/openagent
Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI.
Works with
Categories
Creates an SVG weather card showing the current temperature and writes it to orchestration-workflow/weather.svg and orchestration-workflow/output.md. Weather SVG Creator is an agent skill from shanraisshan/codex-cli-best-practice.
Weather SVG Creator fits situations like: agent Workflows work in your project.
Run `npx skills add shanraisshan/codex-cli-best-practice --skill weather-svg-creator -a claude-code`. Or copy the skill folder (.agents/skills/weather-svg-creator in shanraisshan/codex-cli-best-practice) into .claude/skills/weather-svg-creator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add shanraisshan/codex-cli-best-practice --skill weather-svg-creator -a codex`. Or copy the skill folder (.agents/skills/weather-svg-creator in shanraisshan/codex-cli-best-practice) into .agents/skills/weather-svg-creator in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add shanraisshan/codex-cli-best-practice --skill weather-svg-creator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weather-svg-creator, .gemini/skills/weather-svg-creator, .github/skills/weather-svg-creator and .opencode/skills/weather-svg-creator in your project.
SKILL.md names no scripts, command-line tools or credentials: Weather SVG Creator is instructions for the agent only.
SKILL.md names 2 domains. In commands or code: w3.org and open-meteo.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Weather SVG Creator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 630 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Weather SVG Creator: Codex with ChatGPT Planning Loop (XiaoDuoYa/codex-with-chatgpt, 7.2k stars), Nagent (davidondrej/skills, 4.1k stars), Cao MCP Apps (awslabs/cli-agent-orchestrator, 1.4k stars) and LLM Council (gcpdev/llm-council-skill, 461 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
shanraisshan (a GitHub user) maintains it in shanraisshan/codex-cli-best-practice, which has 1,008 GitHub stars. The repository was last updated on June 4, 2026.
Source: shanraisshan/codex-cli-best-practice on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.