language-python
Python source semantics.
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-language-python
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: 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/language-python
What's inside
- Skill name
language-python- Description
- Python source semantics. Use for Literate AI workflow tasks.
- License
- Apache-2.0
- Metadata
- author: Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
- Instructions
- 31 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Python source semantics Translate Python modules, public call signatures, exceptions, protocols, async behavior, and packaging conventions into evidence-backed base or Flavor proposals. Keep dynamic behavior uncertain unless separately observed. Preserve every observable ordering and tie-break as a separate normative rule. For Python `str` values compared or sorted with the default operators, state that ordering is lexicographic by Unicode code point; do not shorten that to generic "lexicographic" ordering. Inspect and name any `key`, comparison wrapper, reversal, normalization, or locale operation that changes the domain or direction. Distinguish the order of returned sequences from selection rules such as `min` or `max`, and cite the exact expression plus any test evidence for each claim. If dynamic values prevent the operand type or comparator from being established, retain the comparison domain as a blocking uncertainty. Recover script failure channels using Python runtime semantics as well as explicit writes. When the admitted source does not replace `sys.excepthook`, redirect `sys.stderr`, catch and print an exception itself, or invoke an opaque writer, an uncaught exception is reported through the default exception hook to standard error. If every explicit standard-output write is sequenced only after the potentially failing call returns, state that those failures cannot emit a partial product or mix diagnostic text with product data on standard output. Retain the channel as uncertain when hooks, streams, native extensions, or dynamic monkey-patching can change it. Recover missing-required-field behavior from unconditional mapping access, not only from explicit validation branches or tests. When evidence establishes a built-in `dict`, `mapping[key]` raises `KeyError` if that key is absent; if the access occurs before result construction and no handler or default intercepts it, state explicitly that the missing required field is rejected without returning a product result. Keep the behavior uncertain for custom mappings or dynamic dispatch, and distinguish direct subscription from `.get`, `setdefault`, `__missing__`, and caught `KeyError` paths.
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 - 0.544score
docker-container-application
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Docker container image assembly from selected packaging Flavors, declared entrypoints, and parent-container Flavor closure.
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
document-pair
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Ecosystem document-pair construction.
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 (17 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.
More from Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
- 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
docker-container-application
Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
Docker container image assembly from selected packaging Flavors, declared entrypoints, and parent-container Flavor closure.
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
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
Cite this page
language-python skill. Agent Mart. https://agentmart.dev/skills/jordanhubbard-language-python (last updated 2026-10-24)