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Wiki Ingest

OrganizationPopular
paperclipai
wiki-ingest

Use when an operation issue asks to ingest a captured `raw/` source into the LLM Wiki, or the user says "ingest <slug>". Create durable source, entity, concept, synthesis, index, and log pages; use paperclip-distill for Paperclip bundles.

Overview

Publisherpaperclipai
Repositorypaperclip
Skill namewiki-ingest
Stars
95.4K
Forks
16.2K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by paperclipai on GitHub. Read the source before you install it.

Installation

Install the Wiki Ingest AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/paperclipai/paperclip/tree/master/packages/plugins/plugin-llm-wiki/skills/wiki-ingest
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/paperclipai/paperclip.git /tmp/paperclip
mkdir -p .claude/skills
cp -r /tmp/paperclip/packages/plugins/plugin-llm-wiki/skills/wiki-ingest .claude/skills/wiki-ingest
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wiki Ingest in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wiki Ingest on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wiki Ingest is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.
    • Read the target space's AGENTS.md for page conventions (filenames, frontmatter, voice, citation style).
    • Read the target space's wiki/index.md to see what already exists.
    • 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.
  2. 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, claims, dates, and anything that contradicts existing pages.
  3. Plan, then confirm — but only if the user is in the loop. If the operation came from a routine (no live user), proceed. If a user is asking interactively, summarise the 3–5 takeaways you intend to file and ask which to emphasise before writing.
  4. Write the source page at wiki/sources/<slug>.md — ~300–800 words, frontmatter per the wiki schema, neutral voice, key claims with quoted excerpts where they carry weight. The source page is the canonical citation target for everything else this skill writes.
  5. Update or create downstream pages in entities/, concepts/, and synthesis/. A typical ingest touches 5–15 pages; resist creating pages for ideas that only appear once.
  6. Wire the cross-links. Every claim that comes from the source cites it as (see [[wiki/sources/<slug>]]). Every entity / concept mentioned by name on more than one page links to its dedicated page.
  7. Flag contradictions; do not silently overwrite. When new material disagrees with an existing page, append a > ⚠ contradicted by [[wiki/sources/<slug>]] (YYYY-MM-DD) callout to the older page and note the conflict in the log.
  8. Refresh wiki/index.md with one-line summaries for any new pages.
  9. Append a log entry in wiki/log.md:
    ## [YYYY-MM-DD] ingest | <source title>
    - source: raw/<filename>
    - new pages: [[...]], [[...]]
    - updated pages: [[...]], [[...]]
    - notes: <one-line synthesis or open question>

Voice

  • Terse, factual, neutral. Reference material, not narrative.
  • No "Today I learned" or "This is interesting because" framing.
  • Quote the source verbatim when paraphrasing would lose precision.

Verification

Before closing the operation issue:

  • Source page exists at wiki/sources/<slug>.md with valid frontmatter and a sources: field pointing to the raw path.
  • Every new or updated page links back to the source page or a downstream page that does.
  • wiki/index.md lists every new page under the right category with a one-line summary.
  • wiki/log.md has the ingest entry with the exact filename heading format (so grep "^## \[" wiki/log.md keeps working).
  • Any contradiction between the new source and an older page is annotated, not silently overwritten.
  • No file under raw/ was modified.

Tools

wiki_list_sources, wiki_read_source, wiki_search, wiki_read_page, wiki_write_page. Always include the operation issue's wikiId and spaceSlug.

Frequently asked questions

What does the Wiki Ingest AI skill do?

Use when an operation issue asks to ingest a captured `raw/` source into the LLM Wiki, or the user says "ingest <slug>". Create durable source, entity, concept, synthesis, index, and log pages; use paperclip-distill for Paperclip bundles.

Why use Wiki Ingest on TypingMind?

Because you install it once and use it with any model. Wiki Ingest is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wiki Ingest in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/paperclipai/paperclip/tree/master/packages/plugins/plugin-llm-wiki/skills/wiki-ingest. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Wiki Ingest?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wiki Ingest?

As many as you like. As long as a model supports skills, you can use Wiki Ingest with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wiki Ingest AI skill free?

Yes. It is published on GitHub by paperclipai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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