$npx skillfedfor your agent

wiki-ingest

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.

wiki-ingest turns a raw source document into durable, cross-linked wiki pages with proper citations and conflict tracking.

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

9 1 MITupdated by getpaperclipai

Decision gist · record as of 2026-07-20

wiki-ingest turns a raw source document into durable, cross-linked wiki pages with proper citations and conflict tracking. 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.

manual: git clone https://github.com/getpaperclipai/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 6a784dd5

Use it when

  • wiki-ingest flags contradictions rather than silently overwriting existing wiki pages.
  • 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

getpaperclipai/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 source document into wiki-ingest?

wiki-ingest reads a single source document and transforms it into a set of durable wiki pages organized across entities, concepts, and synthesis sections. The skill reads existing space conventions and content to avoid duplication, then creates cross-linked pages with full citation trails back to your original source material.

What happens when wiki-ingest finds contradictions?

wiki-ingest flags contradictions rather than silently overwriting existing wiki pages. When new source material conflicts with what's already in your wiki, the skill surfaces the conflict for review so you can decide how to resolve it, maintaining data integrity and transparency.

Can wiki-ingest convert raw files to wiki pages?

Yes. wiki-ingest converts unstructured source material into structured wiki entries with proper citations. It processes raw documents—including markdown and other formats—and organizes them into interlinked wiki pages while preserving references back to the source.

Does wiki-ingest create cross-links between wiki concepts?

wiki-ingest creates cross-linked wiki entities and concepts from your captured source document. The skill automatically builds connections between related pages and maintains a full linking structure, making your wiki knowledge base navigable and interconnected.

How does wiki-ingest handle existing wiki content?

wiki-ingest reads your existing space conventions and content before ingesting new material. It avoids duplication by checking what's already there, flags any contradictions it finds, and updates pages only when appropriate—keeping your wiki consistent and well-organized.

What logging and verification does wiki-ingest provide?

wiki-ingest processes operation issues that request wiki ingestion with proper logging and verification. The skill tracks ingestion operations, maintains audit trails, and ensures that all source material is properly verified before being added to your wiki system.

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

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

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

Let your AI agent find skills like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 56,283 agent skills by what they can do, searchable in plain language.

wish › “Ingest a raw source document into a wiki system as durable, interlinked pages”

Give your agent the search over MCP, or paste the wish link into any chat. No install? Search from any chat →

Related skills

wiki-ingest
by paperclipai · paperclipai/paperclip

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.

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

Wiki Lint performs read-only audits of wiki spaces, surfacing contradictions, orphaned pages, stale claims, concept gaps, broken links, and provenance issues. It returns a severity-grouped triage list with evidence and suggested fixes, leaving all decisions to the maintainer.

MITupdated Jul 2026
★ 9repo 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
paperclip-distill
by paperclipai · paperclipai/paperclip

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-lint
by paperclipai · paperclipai/paperclip

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.

MITupdated Jul 2026
★ 74,924repo stars
wiki-query
by paperclipai · paperclipai/paperclip

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.

MITupdated Jul 2026
★ 74,924repo stars

More skills index-refresh (MIT) · index-refresh (MIT)

Tags
knowledge-base-importdocument-processingwiki-authoringsource-citationcross-linkingcontent-ingestioninterlinked-pagescontradiction-detection