backend-application
Fundamental back-end generation indexed off selected language Flavors.
Skill by Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Install
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
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About
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.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- 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
- Repository
- github.com/jordanhubbard/project-tracker
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
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- 0.544score
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SkillAFreshness: A★ 8Claude Code +9 - 0.298score
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SkillAFreshness: A★ 2Claude Code +9 - 0.281score
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Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Fundamental back-end generation indexed off selected language Flavors.
SkillAFreshness: AClaude Code +9 - 0.281score
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Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Fundamental back-end generation indexed off selected language Flavors.
SkillAFreshness: AClaude Code +9
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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)