document-pair
Ecosystem document-pair construction.
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-document-pair
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About
Use cases: documents, 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
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/document-pair
What's inside
- Skill name
document-pair- Description
- Ecosystem document-pair construction. Use for Literate AI workflow tasks.
- License
- Apache-2.0
- Metadata
- author: Literate AI maintainers <literate-ai-maintainers@users.noreply.github.com>
- Instructions
- 37 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Ecosystem document-pair construction Generate the build source that realizes a document pair for exactly one selected `documentation.ecosystem` target, from the consuming Component's specification and the ecosystem binding fragment contributed by the selected Flavor. Emit a deterministic build program that constructs every declared member as native editable objects, plus the capability manifest described by the document-pair interface. Read the member set, surface geometry, access audience, permission, and link-sharing state from the consuming specification; read format, collaboration surface, access vocabulary, and the concrete formatting mapping from the ecosystem binding fragment. Never infer either from the other. Realize only local artifacts. Set every member's `published_location` to null and leave publication to a separately authorized step. Record the resolved access record for each member without contacting the service that would enforce it. For every realized presentation member, author non-empty per-page notes carrying that page's supporting authority and its recorded limits, keep every element's bounding box inside the declared surface geometry, and keep text-bearing frames from overlapping. Geometry-escape does not detect painted overflow or colliding titles. Put body copy in the owning shape's text frame as real paragraphs; a newline character inside one paragraph is not a line break after Google Slides import. For every realized narrative member, use the ecosystem's built-in heading styles without skipping a level. Generate the acceptance evidence the document-pair acceptance contract consumes: a per-page geometry scan against the declared surface, a text-bearing-frame overlap scan, a notes-coverage count, a heading hierarchy walk, a placeholder scan, and a credential scan over the manifest and every retained artifact. Emit these as machine-readable results, not prose. They are lifecycle metadata; do not read them back from the build program at runtime. Treat the authoring package as an input to be preserved, never rewritten: the narrative specification, factual ledger, generation prompts, owned assets, regeneration entry point, deliverable links, and QA record are authored material. Only the build source is generated.
From jordanhubbard/literate-ai, Apache-2.0.
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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
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Cite this page
document-pair skill. Agent Mart. https://agentmart.dev/skills/jordanhubbard-document-pair (last updated 2026-10-24)