How do I install the Starlette Foundation skill?

Run npx skillmds@latest add ryan-brosas/starlette-foundation in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Starlette Foundation safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Starlette Foundation?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Starlette Foundation free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Starlette Foundation?

ryan-brosas (@ryan-brosas) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Starlette Foundation by ryan-brosas

Name: Starlette Foundation
Author: ryan-brosas

Starlette Foundation

Use when porting Starlette's ASGI kernel — the router match loop and `{param:convertor}` path grammar, mount child-scope rewriting (`root_path`/`app_root_path`), lifespan state machine, exception-handler plumbing with response-started latching, `BaseHTTPMiddleware`'s memory-stream bridge, single-consumption request body/form contracts, multipart callback state machine, streaming disconnect ladder + Range/multipart-byteranges engine, WebSocket dual state machines, signed-cookie sessions, static-file containment, CORS preflight algebra, scope-data plane (ImmutableMultiDict/MultiDict/QueryParams/FormData repeated-key algebra, Headers first-match byte store vs MutableHeaders live-list kernel, lifespan↔request State write-through), URL construction/mutation plane (tri-form constructor with lazy SplitResult cache, replace() netloc reassembly with IPv6 guard), HTTPConnection derivation plane (identity-equality Mapping façade, snapshot memoization ladder, assert-guided session/auth/user facades, client Address)

ryan-brosas 60546b5 46 files · 164.1 KB Updated Sep 17, 2026

File contents

Starlette: Python ASGI toolkit foundation

Foundation contract

This is a cold, source-specific foundation, not an operational procedure. It is historical, revision-pinned evidence rather than timeless guidance. Current project source, tests, requirements, and runtime behavior outrank this projection and decide what ships.

Provenance and revision

Source record: starlette; portable upstream identity, license, coverage caveats, and retrieval history are preserved in the index.
Recorded revision: main@675ae76855d3d09f5a4493c15ad321a3cd02390d.
Full provenance, coverage caveats, boundaries, and preserved evidence: references/index.md.

Topic map

Representative topics: Routing core; App lifecycle; Errors; HTTP middleware; Response plane; Data & URLs; Request plane; Realtime.
Scope and retrieval questions: references/index.md#use-this-for.
Complete capsule chooser: references/index.md#load-the-matching-source-dump.
Detailed grouped map: references/index.md#capsule-map.
Source limitations and portability boundaries: references/index.md#boundaries.

Retrieval

Open the index, choose one capsule matching the active question, and load only that capsule. Revalidate its cited source and revision before relying on it. Do not bulk-load the inventory, treat historical claims as current truth, or apply this foundation as a procedure.

---name: starlette-foundationdescription: Use when porting Starlette's ASGI kernel — the router match loop and `{param:convertor}` path grammar, mount child-scope rewriting (`root_path`/`app_root_path`), lifespan state machine, exception-handler plumbing with response-started latching, `BaseHTTPMiddleware`'s memory-stream bridge, single-consumption request body/form contracts, multipart callback state machine, streaming disconnect ladder + Range/multipart-byteranges engine, WebSocket dual state machines, signed-cookie sessions, static-file containment, CORS preflight algebra, scope-data plane (ImmutableMultiDict/MultiDict/QueryParams/FormData repeated-key algebra, Headers first-match byte store vs MutableHeaders live-list kernel, lifespan↔request State write-through), URL construction/mutation plane (tri-form constructor with lazy SplitResult cache, replace() netloc reassembly with IPv6 guard), HTTPConnection derivation plane (identity-equality Mapping façade, snapshot memoization ladder, assert-guided session/auth/user facades, client Address)---# Starlette: Python ASGI toolkit foundation## Foundation contractThis is a cold, source-specific foundation, not an operational procedure. It ishistorical, revision-pinned evidence rather than timeless guidance. Currentproject source, tests, requirements, and runtime behavior outrank thisprojection and decide what ships.## Provenance and revision- Source record: `starlette`; portable upstream identity, license, coverage caveats, and retrieval history are preserved in the index.- Recorded revision: `main@675ae76855d3d09f5a4493c15ad321a3cd02390d`.- Full provenance, coverage caveats, boundaries, and preserved evidence: `references/index.md`.## Topic map- Representative topics: Routing core; App lifecycle; Errors; HTTP middleware; Response plane; Data & URLs; Request plane; Realtime.- Scope and retrieval questions: `references/index.md#use-this-for`.- Complete capsule chooser: `references/index.md#load-the-matching-source-dump`.- Detailed grouped map: `references/index.md#capsule-map`.- Source limitations and portability boundaries: `references/index.md#boundaries`.## RetrievalOpen the index, choose one capsule matching the active question, and load onlythat capsule. Revalidate its cited source and revision before relying on it. Donot bulk-load the inventory, treat historical claims as current truth, or applythis foundation as a procedure.

Frequently asked questions