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wiki-ingest

wiki-ingest automates the transformation of a single source document into a structured wiki by creating and linking source, entity, concept, and synthesis pages. It reads your space's conventions, flags contradictions with existing content, and maintains a log of all ingestions. The skill ensures every claim traces back to its origin and all cross-references stay current.

wiki-ingest turns a raw source document into interconnected wiki pages with proper citations and cross-links.

AI-generated summary based on this skill's SKILL.md

74,924 13,962 MITupdated by paperclipai

Decision gist · record as of 2026-07-28

wiki-ingest turns a raw source document into interconnected wiki pages with proper citations and cross-links. wiki-ingest automates the transformation of a single source document into a structured wiki by creating and linking source, entity, concept, and synthesis pages. It reads your space's conventions, flags contradictions with existing content, and maintains a log of all ingestions. The skill ensures every claim traces back to its origin and all cross-references stay current.

manual: git clone https://github.com/paperclipai/paperclip → cp -r paperclip/packages/plugins/plugin-llm-wiki/skills/wiki-ingest ~/.claude/skills/wiki-ingest
packages/plugins/plugin-llm-wiki/skills/wiki-ingest/SKILL.md · version 539f9bfa

Use it when

  • wiki-ingest converts unstructured source material into durable wiki entities and concepts by parsing your document and generating properly.
  • Yes.

Verify before relying

Read SKILL.md below before installing (1 file). Open directory: indexed for reading, not audited.

Same gist for agents: .md · .json

Install

paperclipai/paperclip/wiki-ingest · repository language: TypeScript

Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.

Frequently asked questions

AI-generated answers based on this skill's SKILL.md and metadata

How do I ingest a raw document into wiki-ingest?

wiki-ingest automates ingestion by reading your source document and automatically creating interlinked pages for sources, entities, concepts, and synthesis. You provide the raw material, and wiki-ingest handles page creation, citation tracking, and cross-linking according to your space's conventions. Every claim remains traceable to its origin.

What does wiki-ingest do with unstructured source material?

wiki-ingest converts unstructured source material into durable wiki entities and concepts by parsing your document and generating properly structured pages. It establishes relationships between extracted entities, creates concept pages, and maintains citations so your knowledge base grows in an organized, interconnected way.

Can wiki-ingest detect contradictions when adding sources?

Yes. wiki-ingest detects and flags contradictions when ingesting new sources into your existing wiki. This helps you identify conflicts between the incoming document and established content before they propagate, allowing you to resolve inconsistencies manually or through your defined conflict-resolution process.

Does wiki-ingest automate wiki page creation with citations?

wiki-ingest automates wiki page creation with proper citations and cross-links built in. It generates pages for sources, entities, and concepts while maintaining full traceability—every statement links back to its source, and all cross-references remain current throughout your wiki.

What does wiki-ingest log during source ingestion?

wiki-ingest maintains a wiki index and log during the entire source ingestion workflow. This record tracks all pages created, entities extracted, concepts identified, and any contradictions flagged, giving you a complete audit trail of how your knowledge base evolved with each ingestion.

How does wiki-ingest create interlinked wiki pages from documents?

wiki-ingest reads your raw document, extracts entities and concepts, and automatically generates interlinked pages that reference each other. It respects your space's conventions, establishes semantic relationships, and ensures every page connects meaningfully to related content, turning a flat source into a navigable knowledge structure.

SKILL.md

Rendered from the published skill. Quoted content, verbatim.

Wiki Ingest

Turn one source document into durable, interlinked wiki knowledge.

Inputs

  • An operation issue with operationType: "ingest" assigned to you.
  • A raw/ path mentioned in the issue body (always treat raw/ as immutable).
  • The operation issue's target wikiId, spaceSlug, and space root (otherwise stop and surface the missing config to the requester).

Workflow

  1. Read context first.
  2. Read the target space's AGENTS.md for page conventions (filenames, frontmatter, voice, citation style).
  3. Read the target space's wiki/index.md to see what already exists.
  4. Read the target space's last ~20 entries of wiki/log.md to avoid re-ingesting a source or re-resolving a contradiction someone else already filed.
  5. Read the source end to end with wiki_read_source, passing the operation issue's wikiId and spaceSlug. Do not skim. Note the source's structure,

(truncated - see the full file via the links below)

File tree — 1 file
packages/plugins/plugin-llm-wiki/skills/wiki-ingest/SKILL.md

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Related skills

wiki-ingest
by getpaperclipai · getpaperclipai/paperclip

wiki-ingest transforms a single source document into a set of durable wiki pages organized across entities, concepts, and synthesis sections. It reads existing space conventions and content to avoid duplication, flags contradictions rather than silently overwriting, and maintains full cross-linking and citation trails back to the original source.

MITupdated Jul 2026
★ 9repo stars
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Wiki Query pulls answers from wiki pages and raw sources, citing each fact as it goes. When synthesis is needed, it offers to file a new page rather than answering silently. If the wiki can't answer, it says so plainly and suggests a concrete next step.

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Transform loose content into a living knowledge base by ingesting articles, documents, or notes into organized wiki pages. The skill automatically extracts concepts, products, and patterns, creates interconnected pages with cross-references, and maintains a searchable index—all while preventing duplicates and keeping your knowledge network coherent.

MITupdated May 2026
★ 3,785repo stars
wiki-lint
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Wiki Lint scans a wiki space to surface seven classes of structural and content issues: contradictions between pages, stale claims, orphaned pages, concept gaps, broken wiki-links, weak provenance, and index drift. It returns a severity-grouped triage list with evidence and suggested fixes, but never modifies wiki content—leaving all decisions to the maintainer.

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paperclip-distill
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Paperclip Distill transforms project, issue, comment, and document activity from Paperclip into structured wiki pages that tell the story of what happened, what was decided, and what matters next. It produces executive standups and project indexes designed for readers unfamiliar with the source material, emphasizing interpretation and context over raw issue lists or dated status dumps.

MITupdated Jul 2026
★ 74,924repo stars
Wiki Query
by getpaperclipai · getpaperclipai/paperclip

Wiki Query answers questions grounded in your wiki's actual content, citing pages and raw sources as it goes. It reads your wiki's index and candidate pages, verifies claims against raw sources when needed, and structures answers with inline citations. When synthesis is required, it offers to file the work durably so knowledge compounds instead of disappearing into chat.

MITupdated Jul 2026
★ 9repo stars

More skills Wiki Lint (MIT) · LLM Wiki Maintainer (MIT) · index-refresh (MIT) · index-refresh (MIT)

Tags
knowledge-base-buildingdocument-processingsemantic-linkingsource-canonicalizationwiki-automationcontradiction-detectioncross-reference-managementstructured-ingestioncontent-organization