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.
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About
Use cases: backend, productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/backend-application
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
- Apache-2.0
- Metadata
- author: Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
- Instructions
- 38 lines in SKILL.md · view on GitHub
Files (7)
- SKILL.md
- SKILL.md · durable-split-service/
- SKILL.md · grpc-application/
- SKILL.md · python-service-application/
- SKILL.md · rest-application/
- SKILL.md · rust-service-application/
- SKILL.md · scheduler-lease-worker/
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/literate-ai, Apache-2.0.
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Signals
- Stars
- 28
- Forks
- 10
- Open issues
- 26
- Last commit (this folder)
- Oct 4, 2026 (25 days ago)
- Last release
- Oct 12, 2026 (16 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/jordanhubbard/literate-ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.313score
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SkillAFreshness: AClaude Code +9 - 0.281score
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Cite this page
backend-application skill. Agent Mart. https://agentmart.dev/skills/jordanhubbard-backend-application-80914b (last updated 2026-10-24)