Agent skill

Starlette

Build async web applications and APIs with Starlette 1.0, the lightweight ASGI framework for Python.

No licenceAuto-check: notesBackend & APIs

Install Starlette

skills CLI

$ npx skills add simonw/research --skill starlette -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install simonw/research starlette --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/simonw/research.git skills-src && mkdir -p .claude/skills && cp -r skills-src/starlette-1-skill .claude/skills/starlette && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "starlette" agent skill from https://github.com/simonw/research/tree/main/starlette-1-skill into .claude/skills/starlette/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "starlette", 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

$skill-installer install https://github.com/simonw/research/tree/main/starlette-1-skill

Type 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.

skills CLI

$ npx skills add simonw/research --skill starlette -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install simonw/research starlette --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/simonw/research.git skills-src && mkdir -p .agents/skills && cp -r skills-src/starlette-1-skill .agents/skills/starlette && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "starlette" agent skill from https://github.com/simonw/research/tree/main/starlette-1-skill into .agents/skills/starlette/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "starlette", 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.

skills CLI

$ npx skills add simonw/research --skill starlette -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install simonw/research starlette --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/simonw/research.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/starlette-1-skill .cursor/skills/starlette && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "starlette" agent skill from https://github.com/simonw/research/tree/main/starlette-1-skill into .cursor/skills/starlette/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "starlette", 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

$ gemini skills install https://github.com/simonw/research.git --path starlette-1-skill

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add simonw/research --skill starlette -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install simonw/research starlette --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/simonw/research.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/starlette-1-skill .gemini/skills/starlette && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "starlette" agent skill from https://github.com/simonw/research/tree/main/starlette-1-skill into .gemini/skills/starlette/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "starlette", 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.

GitHub CLI

$ gh skill install simonw/research starlette

Installs 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).

skills CLI

$ npx skills add simonw/research --skill starlette -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/simonw/research.git skills-src && mkdir -p .github/skills && cp -r skills-src/starlette-1-skill .github/skills/starlette && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "starlette" agent skill from https://github.com/simonw/research/tree/main/starlette-1-skill into .github/skills/starlette/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "starlette", 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.

skills CLI

$ npx skills add simonw/research --skill starlette -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install simonw/research starlette --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/simonw/research.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/starlette-1-skill .opencode/skills/starlette && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "starlette" agent skill from https://github.com/simonw/research/tree/main/starlette-1-skill into .opencode/skills/starlette/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "starlette", 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.

Facts

Skill name: starlette
GitHub stars: 781
Token cost: ~8.6k tokens
SKILL.md length: 563 words
Files: 6
Skills in repo: 3
Repo updated: Oct 4, 2026
First seen: Oct 7, 2026
Licence: None found

At a glance

Build async web applications and APIs with Starlette 1.0, the lightweight ASGI framework for Python.

Works in 12 steps: Application → Routing → Requests → …
A user wants to create an async Python web app
SKILL.md covers Installation, 1 · Application, 2 · Routing and 3 · Requests, plus 4 more sections
Runs Python scripts from its folder; calls pip and uvicorn; reaches httpbin.org; needs SECRET_KEY

What it does

Starlette is an agent skill from simonw/research. Build async web applications and APIs with Starlette 1.0, the lightweight ASGI framework for Python. Use this skill whenever a user wants to create an async Python web app, REST API, WebSocket server, or ASGI application using Starlette. Triggers include mentions of 'Starlette', 'ASGI', async Python web frameworks, or requests to build lightweight async APIs, WebSocket services, streaming responses, or middleware pipelines. Also use when the user is working with FastAPI internals (which is built on Starlette)…

Its SKILL.md is about 8.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `README.md`, `_summary.md` and `taskflow/database.py`).

It sits in Backend & APIs, covering Realtime and WebSockets, Backend development and LLM API integration. It works with Python and FastAPI.

When your agent uses it

A user wants to create an async Python web app
WebSocket server
ASGI application using Starlette
Include mentions of Starlette

Example prompts

“Starlette”
“/starlette”

Requirements

Python 3

Workflow steps

12 steps, taken from the step headings in SKILL.md.

Application
Routing
Requests
Responses
WebSockets
Class-Based Endpoints
Middleware
Lifespan (Startup & Shutdown)
Background Tasks
Templates (Jinja2)
Static Files
Exception Handling

What it can do on your machine

Read from SKILL.md and the folder at commit 4f5f23e. It shows what the files ask for, not the result of running them.

Tool permissions
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.
Runs code
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
- pip
- uvicorn
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- httpbin.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- SECRET_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Starlette loads about 8.6k tokens when it runs. Until then it costs about 196 tokens; SKILL.md has 563 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~196
When it runs · the whole SKILL.md, loaded when a task matches: ~8.6k

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.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NoteMentions a .env fileSKILL.md:941
```
config = Config(".env")
```

NoteMentions a .env fileSKILL.md:953

config = Config(".env", encoding="latin-1")

NoteMentions a .env fileSKILL.md:956
```
`.env` file:
```
NoteMentions a .env fileSKILL.md:1212
```
config = Config(".env")
```

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.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 563 words (~8,553 tokens).

“Starlette is a lightweight ASGI framework/toolkit for building high-performance async web services in Python. Version 1.0 was released on March 22, 2026 — the first stable release after nearly eight years of development. It requires Python 3.10+ and depends only…”

— opening of SKILL.md by simonw

name: starlette

Outline of SKILL.md

Starlette 1.0
Installation
1 · Application
Starlette constructor parameters (1.0)
Storing and accessing state
Using Starlette as a pure ASGI toolkit
2 · Routing
Basic routes
Path parameter convertors
Custom convertors
Submounting routes
Reverse URL lookups
Host-based routing
WebSocket routing
Route priority
Using Router directly
3 · Requests
File uploads
4 · Responses
Basic response types
Custom JSON serialization (e.g. orjson)
Streaming response
File response (with HTTP range request support)
Setting and deleting cookies
5 · WebSockets
WebSocket denial response
6 · Class-Based Endpoints
HTTPEndpoint
WebSocketEndpoint
7 · Middleware

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files in starlette-1-skill of simonw/research.

SKILL.md
README.md
_summary.md
taskflow/database.py
taskflow/main.py
taskflow/templates/index.html

Open the folder on GitHubat commit 4f5f23e

Compare with similar skills

Starlette 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.

Starlette compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Starlette this skillsimonw/research	781	—	~8.6k	Automated safety check: Notes	None	2 days ago
FastAPI ExpertJeffallan/claude-skills	12k	—	~1.8k	Automated safety check: Pass	MIT	4 days ago
API Route Designaiskillstore/marketplace	430	—	~1.9k	Automated safety check: Pass	None	today
Fastcrudbenavlabs/fastcrud	1.6k	—	~5k	Automated safety check: Pass	MIT	12 days ago
FastAPI Project Templateswshobson/agents	40k	11 repos	~901	Automated safety check: Pass	MIT	2 days ago
Fastapi REST API Designopen-edge-platform/anomalib	6.2k	—	~838	Automated safety check: Pass	Apache-2.0	today

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Questions about Starlette

What does Starlette do?

Build async web applications and APIs with Starlette 1.0, the lightweight ASGI framework for Python. Starlette is an agent skill from simonw/research.0, the lightweight ASGI framework for Python.

When should I use Starlette?

Starlette fits situations like: A user wants to create an async Python web app; webSocket server; ASGI application using Starlette; include mentions of Starlette.

How do I install Starlette in Claude Code?

Run `npx skills add simonw/research --skill starlette -a claude-code`. Or copy the skill folder (starlette-1-skill in simonw/research) into .claude/skills/starlette in your project. Claude Code loads it when a task matches its description.

How do I install Starlette in Codex?

Run `npx skills add simonw/research --skill starlette -a codex`. Or copy the skill folder (starlette-1-skill in simonw/research) into .agents/skills/starlette in your project. Codex loads it when a task matches its description.

Can I use Starlette in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add simonw/research --skill starlette -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/starlette, .gemini/skills/starlette, .github/skills/starlette and .opencode/skills/starlette in your project.

What does Starlette need to run?

Going by SKILL.md and its folder, Starlette needs Python for the scripts in its folder, the command-line tools its instructions call (pip and uvicorn) and credentials named SECRET_KEY. Our summary lists: Python 3.

Does Starlette access the network?

SKILL.md names 1 domain. In commands or code: httpbin.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Starlette safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Starlette use?

No licence was found for Starlette or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Starlette use?

About 8.6k tokens (SKILL.md is roughly 34k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Starlette?

Skills that share tags, products or a category with Starlette: FastAPI Expert (Jeffallan/claude-skills, 12k stars), API Route Design (aiskillstore/marketplace, 430 stars), Fastcrud (benavlabs/fastcrud, 1.6k stars) and FastAPI Project Templates (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Starlette?

simonw (a GitHub user) maintains it in simonw/research, which has 781 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 4, 2026.

Source: simonw/research on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Starlette

Install Starlette

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

FastAPI Expert

API Route Design

Fastcrud

FastAPI Project Templates

Fastapi REST API Design

Fastapi Pro

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Questions about Starlette

Install Starlette

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

More from simonw/research

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Questions about Starlette