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backend-application

Fundamental back-end generation indexed off selected language Flavors.

Skill by Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>

IndexedBSD-2-Clause
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/jordanhubbard-backend-application-73a438

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Fundamental back-end generation indexed off selected language Flavors. Use for Literate AI workflow tasks that select a server-side parent skill. Nested Python and Rust skills own ecosystem chapters.

Use cases: backend, productivity

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What's inside

Skill name
backend-application
Description
Fundamental back-end generation indexed off selected language Flavors. Use for Literate AI workflow tasks that select a server-side parent skill. Nested Python and Rust skills own ecosystem chapters.
License
BSD-2-Clause
Metadata
author: Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Instructions
38 lines in SKILL.md · view on GitHub

Files (3)

  • SKILL.md
  • SKILL.md · python-service-application/
  • SKILL.md · rust-service-application/

SKILL.md (first lines)

# Back-end application generation

Generate a long-running back-end composed of cooperating parts that share one
codebase and one local store: an HTTP API, an embedded MCP server, and a scheduled
worker when the specification asks for them. Nested language skills are deltas of
this parent. MCP tool/resource/schema/error rules live in the MCP parent; this
parent owns process shape, store ownership, and Flavor-indexed ecosystems.

## Flavor index

Python, Rust, and Elixir guidance is indexed off selected Flavors:

- When `lang-python` is selected, apply the nested `python-service-application`
  ecosystem (ASGI, typed models, embedded MCP transport, worker isolation).
- When `lang-rust` is selected, apply the nested `rust-service-application`
  ecosystem (async service, explicit errors, no extra crates unless specified).
- When `lang-elixir` is selected, apply the Elixir ecosystem chapter. If that
  Flavor is not in the catalog, record skip/unavailable for Elixir and continue;
  do not crash and do not author a Flavor here.

Unselected language ecosystems are omitted from the recipe. Nested skills must not
repeat this index rule.

## Process and store

Each part is a distinct entrypoint. The HTTP API and embedded MCP server answer
from the local store at request time. Prefer an embedded database unless the
specification requires concurrent multi-process writers. The worker is the store's
only writer when it exists, runs on the specification's schedule, isolates
per-unit failure, and records run outcome so readers can report staleness.

## MCP leaf

Embedded application MCP is server-side (stdio for one local client, HTTP/SSE for
concurrent callers). Inherit the MCP parent for tools versus resources, schema
validation, structured errors, identity pins, and secret rejection. Do not copy
those rules into a nested language skill.

From jordanhubbard/project-tracker, BSD-2-Clause.

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Last commit (this folder)
Sep 13, 2026 (1 month ago)
Last release
Sep 20, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
BSD-2-Clause
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

backend-application skill. Agent Mart. https://agentmart.dev/skills/jordanhubbard-backend-application-73a438 (last updated 2026-10-24)