docker-container-application
Docker container image assembly from selected packaging Flavors, declared entrypoints, and parent-container Flavor closure.
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-docker-container-application
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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: devops, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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/docker-container-application
What's inside
- Skill name
docker-container-application- Description
- Docker container image assembly from selected packaging Flavors, declared entrypoints, and parent-container Flavor closure. Use for Literate AI workflow tasks.
- 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 (1)
- SKILL.md
SKILL.md (first lines)
# Docker container image assembly Assemble the generated `Dockerfile` from exactly three contribution sources, in this order of authority: explicit Component specifications, selected Flavor requirements, then this skill's preferences below them. ## Inputs 1. **Parent containers (base layers).** Resolve the `deploy.container-base` capability closure. Every providing container Flavor — including Flavors inherited through the repository lineage DAG — contributes exactly one immutable OCI image reference. Emit `FROM` instructions using those complete digest-qualified references in resolved DAG order, root closure first. A tag is only a human-readable upgrade hint and is never build authority. If no base provider resolves, stop with a concrete missing-capability diagnostic; never invent or look up an ambient image. 2. **Packages.** For each selected packaging Flavor (`package-pip`, `package-apt`, `package-brew`, `package-winget`, `package-chocolatey`, `package-conan`), emit its runtime-install actions inside the appropriate layer: pip requirements install for Python wheels, apt-get install for Debian packages, and equivalent actions per packaging target. Never fetch packages outside these declared actions. 3. **Entrypoints and scripts.** Copy only files invoked by the Component's declared entrypoints from the built artifact closure into the image, and declare each entrypoint so `docker run` reaches it directly. ## Construction rules - Bind identity: label the image with the exact Component lock identity and recipe identity supplied by the generation context. - Record each selected base in the pre-build CycloneDX SBOM with its digest as the exact `version`; do not represent a selected base as an unresolved `versionRange`. - One concern per layer in dependency-safe order: base chain, OS packages, language packages, artifact copy, entrypoint declaration. - Run as a non-root user unless the specification explicitly requires elevation. - Detect the builder before use; if no Docker-compatible builder resolves on PATH, stop with a concrete host prerequisite instead of improvising. - Verify locally by building the image and running the Component acceptance contract inside it before any deployment gate consumes the result.
From jordanhubbard/literate-ai, Apache-2.0.
More from jordanhubbard/literate-ai
- 0.638score
regenerate-literate-ai-manager-overview
jordanhubbard
Regenerate and refresh the Literate-AI manager and engineering overview document pair (presentation and narrative) when the framework, CLI, qualification…
SkillAFreshness: A★ 28Claude Code +9 - 0.547score
generate-nvidia-cuda-application
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Generate and test a C++ CUDA or Python CUDA application from a Literate AI specification after an exact NVIDIA stack has been selected.
SkillAFreshness: A★ 28Claude Code +9 - 0.547score
agent
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Shared rules for Literate AI agent skills nested under skills/agent.
SkillAFreshness: A★ 28Claude Code +9 - 0.546score
repo-man-build-system
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
NVIDIA repo_man build-entrypoint design.
SkillAFreshness: A★ 28Claude Code +9 - 0.544score
backend-application
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Fundamental back-end generation indexed off selected language Flavors.
SkillAFreshness: A★ 28Claude Code +9 - 0.544score
mcp-application
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
MCP as a product protocol for generated applications: tools, resources, schema validation, and structured errors.
SkillAFreshness: A★ 28Claude Code +9 - 0.544score
frontend-application
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Fundamental browser front-end generation in JavaScript.
SkillAFreshness: A★ 28Claude Code +9 - 0.544score
language-elixir
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Recover evidence-backed Elixir and Erlang/OTP behavior when translating Elixir source into Literate AI specifications.
SkillAFreshness: A★ 28Claude Code +9 - 0.543score
debug-spec-map
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Debug spec-to-source mapping anchors.
SkillAFreshness: A★ 28Claude Code +9 - 0.542score
bazel-build-system
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Bazel-preferred build-system design.
SkillAFreshness: A★ 28Claude Code +9 - 0.542score
cmake-build-system
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
CMake build-system design.
SkillAFreshness: A★ 28Claude Code +9 - 0.542score
language-python
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Python source semantics.
SkillAFreshness: A★ 28Claude Code +9
Signals
- Stars
- 28
- Forks
- 10
- Open issues
- 26
- Last commit (this folder)
- Sep 30, 2026 (29 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
More from Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
- 0.547score
agent
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Shared rules for Literate AI agent skills nested under skills/agent.
SkillAFreshness: A★ 28Claude Code +9 - 0.547score
generate-nvidia-cuda-application
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Generate and test a C++ CUDA or Python CUDA application from a Literate AI specification after an exact NVIDIA stack has been selected.
SkillAFreshness: A★ 28Claude Code +9 - 0.546score
repo-man-build-system
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
NVIDIA repo_man build-entrypoint design.
SkillAFreshness: A★ 28Claude Code +9 - 0.544score
backend-application
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Fundamental back-end generation indexed off selected language Flavors.
SkillAFreshness: A★ 28Claude Code +9 - 0.544score
language-elixir
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Recover evidence-backed Elixir and Erlang/OTP behavior when translating Elixir source into Literate AI specifications.
SkillAFreshness: A★ 28Claude Code +9 - 0.544score
frontend-application
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Fundamental browser front-end generation in JavaScript.
SkillAFreshness: A★ 28Claude Code +9
Cite this page
docker-container-application skill. Agent Mart. https://agentmart.dev/skills/jordanhubbard-docker-container-application (last updated 2026-10-24)