Diagram Design
cathrynlavery/diagram-design
Creates branded diagrams, from architecture, flowchart and sequence to charts and maps, as self-contained HTML with inline SVG, with import from draw.io, Mermaid and Excalidraw.
Fetch economic data from FRED, World Bank, and other APIs. An agent skill from meleantonio/awesome-econ-ai-stuff.
$ npx skills add meleantonio/awesome-econ-ai-stuff --skill api-data-fetcher -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install meleantonio/awesome-econ-ai-stuff api-data-fetcher --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/meleantonio/awesome-econ-ai-stuff.git skills-src && mkdir -p .claude/skills && cp -r skills-src/_skills/data/api-data-fetcher .claude/skills/api-data-fetcher && 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 "api-data-fetcher" agent skill from https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/data/api-data-fetcher into .claude/skills/api-data-fetcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-data-fetcher", 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/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/data/api-data-fetcherType 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 meleantonio/awesome-econ-ai-stuff --skill api-data-fetcher -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install meleantonio/awesome-econ-ai-stuff api-data-fetcher --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meleantonio/awesome-econ-ai-stuff.git skills-src && mkdir -p .agents/skills && cp -r skills-src/_skills/data/api-data-fetcher .agents/skills/api-data-fetcher && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "api-data-fetcher" agent skill from https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/data/api-data-fetcher into .agents/skills/api-data-fetcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-data-fetcher", 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 meleantonio/awesome-econ-ai-stuff --skill api-data-fetcher -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install meleantonio/awesome-econ-ai-stuff api-data-fetcher --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meleantonio/awesome-econ-ai-stuff.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/_skills/data/api-data-fetcher .cursor/skills/api-data-fetcher && 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 "api-data-fetcher" agent skill from https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/data/api-data-fetcher into .cursor/skills/api-data-fetcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-data-fetcher", 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/meleantonio/awesome-econ-ai-stuff.git --path _skills/data/api-data-fetcher--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 meleantonio/awesome-econ-ai-stuff --skill api-data-fetcher -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install meleantonio/awesome-econ-ai-stuff api-data-fetcher --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meleantonio/awesome-econ-ai-stuff.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/_skills/data/api-data-fetcher .gemini/skills/api-data-fetcher && 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 "api-data-fetcher" agent skill from https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/data/api-data-fetcher into .gemini/skills/api-data-fetcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-data-fetcher", 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 meleantonio/awesome-econ-ai-stuff api-data-fetcherInstalls 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 meleantonio/awesome-econ-ai-stuff --skill api-data-fetcher -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/meleantonio/awesome-econ-ai-stuff.git skills-src && mkdir -p .github/skills && cp -r skills-src/_skills/data/api-data-fetcher .github/skills/api-data-fetcher && 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 "api-data-fetcher" agent skill from https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/data/api-data-fetcher into .github/skills/api-data-fetcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-data-fetcher", 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 meleantonio/awesome-econ-ai-stuff --skill api-data-fetcher -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install meleantonio/awesome-econ-ai-stuff api-data-fetcher --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meleantonio/awesome-econ-ai-stuff.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/_skills/data/api-data-fetcher .opencode/skills/api-data-fetcher && 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 "api-data-fetcher" agent skill from https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/data/api-data-fetcher into .opencode/skills/api-data-fetcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-data-fetcher", 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.
api-data-fetcherFetch economic data from FRED, World Bank, and other APIs. An agent skill from meleantonio/awesome-econ-ai-stuff.
API Data Fetcher is an agent skill from meleantonio/awesome-econ-ai-stuff. Fetch economic data from FRED, World Bank, and other APIs
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `index.md`). Compatibility notes: ["claude-code","cursor","codex","gemini-cli"]
It sits in Development. The repository describes itself as: AI Skills for Economists.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit dd890d5. 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.
Shell commands in SKILL.md call:
pipFrom 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:
fred.stlouisfed.orgAlso links to:
bls.govdatahelpdesk.worldbank.orgpython-programming.quantecon.orgFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
FRED_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
["claude-code","cursor","codex","gemini-cli"]
From compatibility in the SKILL.md frontmatter.
API Data Fetcher loads about 2.4k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 257 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 257 words (~2,405 tokens).
“This skill helps economists fetch data from major economic data APIs including FRED (Federal Reserve Economic Data), World Bank, IMF, BLS, and OECD. It generates clean, documented Python code with proper error handling.”
SKILL.md and 1 other file in _skills/data/api-data-fetcher of meleantonio/awesome-econ-ai-stuff.
Open the folder on GitHubat commit dd890d5
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in meleantonio/awesome-econ-ai-stuff, which our catalogue first saw on October 7, 2026.
API Data Fetcher 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 |
|---|---|---|---|---|---|---|
| API Data Fetcher this skillmeleantonio/awesome-econ-ai-stuff | 642 | 2 repos | ~2.4k | Automated safety check: Pass | Custom licence | |
| Diagram Designcathrynlavery/diagram-design | 44k | 1 repos | ~7.5k | Automated safety check: Pass | MIT | |
| R Function Input Validationtidyverse/dplyr | 5.1k | 1 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Archifymolvqingtai/WebChat | 2.6k | — | ~5.6k | Automated safety check: Pass | MIT | |
| JSON Processing with jqcharmbracelet/crush | 29k | — | ~746 | Automated safety check: Pass | Custom licence | |
| Kimi WebbridgeMoonshotAI/kimi-code | 7.8k | — | ~3.6k | Automated safety check: Pass | MIT |
cathrynlavery/diagram-design
Creates branded diagrams, from architecture, flowchart and sequence to charts and maps, as self-contained HTML with inline SVG, with import from draw.io, Mermaid and Excalidraw.
tidyverse/dplyr
Validates arguments of exported R functions with the standalone check_* type checkers from rlang, in tidyverse style with clear error messages.
molvqingtai/WebChat
Create professional architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as standalone HTML files with SVG graphics, a built-in dark/light theme toggle, and one-click export to…
charmbracelet/crush
Explains the jq command built into Crush for querying, filtering and reshaping JSON, including its supported flags and where it differs from standard jq.
MoonshotAI/kimi-code
Kimi Browser Extension(Kimi 浏览器扩展,原 Kimi WebBridge)lets AI control the user's real browser — navigate, click, type, read, screenshot, and interact with any website using the user's actual login…
spacering-net/codeg
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement.
meleantonio/awesome-econ-ai-stuff
Draft economics papers with proper structure and academic style
meleantonio/awesome-econ-ai-stuff
Create academic presentations in Beamer with professional themes
meleantonio/awesome-econ-ai-stuff
Create publication-quality charts and graphs for economics papers.
meleantonio/awesome-econ-ai-stuff
Build and solve Walrasian general equilibrium models with theory derivations and Julia computation
meleantonio/awesome-econ-ai-stuff
Generate publication-ready regression tables in LaTeX. An agent skill from meleantonio/awesome-econ-ai-stuff.
meleantonio/awesome-econ-ai-stuff
Search, summarize, and synthesize economics literature. An agent skill from meleantonio/awesome-econ-ai-stuff.
Categories
Fetch economic data from FRED, World Bank, and other APIs. An agent skill from meleantonio/awesome-econ-ai-stuff. API Data Fetcher is an agent skill from meleantonio/awesome-econ-ai-stuff.
API Data Fetcher fits situations like: development work in your project.
Run `npx skills add meleantonio/awesome-econ-ai-stuff --skill api-data-fetcher -a claude-code`. Or copy the skill folder (_skills/data/api-data-fetcher in meleantonio/awesome-econ-ai-stuff) into .claude/skills/api-data-fetcher in your project. Claude Code loads it when a task matches its description.
Run `npx skills add meleantonio/awesome-econ-ai-stuff --skill api-data-fetcher -a codex`. Or copy the skill folder (_skills/data/api-data-fetcher in meleantonio/awesome-econ-ai-stuff) into .agents/skills/api-data-fetcher 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 meleantonio/awesome-econ-ai-stuff --skill api-data-fetcher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/api-data-fetcher, .gemini/skills/api-data-fetcher, .github/skills/api-data-fetcher and .opencode/skills/api-data-fetcher in your project.
Going by SKILL.md and its folder, API Data Fetcher needs the command-line tools its instructions call (pip) and credentials named FRED_API_KEY. Our summary lists: Python 3; A credential in FRED_API_KEY. Compatibility (from SKILL.md): ["claude-code","cursor","codex","gemini-cli"].
SKILL.md names 4 domains. In commands or code: fred.stlouisfed.org; the agent is likely to contact it when it follows the instructions. As links in the text: bls.gov, datahelpdesk.worldbank.org and python-programming.quantecon.org. 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.
API Data Fetcher has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 2.4k tokens (SKILL.md is roughly 9.6k 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 API Data Fetcher: Diagram Design (cathrynlavery/diagram-design, 44k stars), R Function Input Validation (tidyverse/dplyr, 5.1k stars), Archify (molvqingtai/WebChat, 2.6k stars) and JSON Processing with jq (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
meleantonio (a GitHub user) maintains it in meleantonio/awesome-econ-ai-stuff, which has 642 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 26, 2026.
Source: meleantonio/awesome-econ-ai-stuff on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.