Index Refresh logo

Index Refresh

OrganizationPopular
paperclipai
index-refresh

Use when an LLM Wiki operation issue requests an index refresh. Rebuild `wiki/index.md` from the actual wiki tree, reconcile missing/deleted entries, and log counts without editing page bodies.

Overview

Publisherpaperclipai
Repositorypaperclip
Skill nameindex-refresh
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 Index Refresh 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/index-refresh
  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/index-refresh .claude/skills/index-refresh
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Index Refresh 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 Index Refresh 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 Index Refresh 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.

Index Refresh

Keep wiki/index.md accurate and scannable. The index is the maintainer's first stop for navigation — its quality determines how cheap every subsequent operation becomes.

Inputs

  • An operation issue with operationType: "index" (or the index-refresh routine title).
  • The operation issue's target wikiId, spaceSlug, and space root. Refresh only that space unless the issue explicitly says this is a multi-space sweep.

Workflow

  1. Read the target space's wiki/index.md as it currently stands.
  2. Walk the target space's wiki/. wiki/projects/<slug>/standup.md entries are current-state companions for durable wiki/projects/<slug>/index.md pages; index them only as links attached to the matching project entry. Walk wiki/ by category (sources/, projects/, entities/, concepts/, synthesis/, plus any custom subdirectories the wiki schema added).
  3. Read the target space's last ~50 entries of wiki/log.md to spot pages that were created or substantially changed but never made it to the index.
  4. Per category, produce sorted entries of the form:
    - [[<path>]] — <one-line summary>
    The summary is one factual sentence pulled from the page's first paragraph or its title. No status, no datestamps in the index — those belong in the page itself or in the log.
  5. Drop entries whose page no longer exists. Note the deletion in the log:
    ## [YYYY-MM-DD] index-refresh | reconciled
    - removed: [[wiki/old-page]] (page deleted)
    - added: [[wiki/new-page]] — <summary>
  6. Add entries for pages that exist on disk but were missing from the index. Skip wiki/log.md and wiki/index.md themselves. For standalone wiki/projects/<slug>/standup.md without a matching durable project page, add it under Projects and flag it for later durable-page distillation.
  7. Write project entries editorially. The Projects section should group work by the project's concept and purpose, not by issue ids, dates, statuses, UUIDs, or source metadata. Link task identifiers only as supporting evidence.
  8. Preserve custom categories. If the wiki has added e.g. wiki/papers/ or wiki/runbooks/, keep its index section. Do not collapse to the default five categories.
  9. Append a log entry with counts:
    ## [YYYY-MM-DD] index-refresh | added=N removed=M
    - operation issue: <issue identifier>
    If the index was already accurate, the log entry says added=0 removed=0 — still write it so future audits can see the run happened.

What this skill does NOT do

  • Does not change page content.
  • Does not resolve contradictions, fix broken links, or fill concept gaps. Those go to the next wiki-lint run.
  • Does not write summaries that are not already supported by the page itself. If a page lacks a clear first paragraph to summarise, flag it for wiki-lint.

Voice

  • Index entries are one factual line per page, present tense.
  • No emojis, no statuses, no dates in wiki/index.md. Dates live in the log.

Verification

Before closing the operation issue:

  • wiki/index.md matches the actual contents of wiki/ — no missing pages, no dangling entries.
  • Project entries include current wiki/projects/<slug>/standup.md links when standups exist.
  • Each index line has the form - [[path]] — <summary>.
  • Custom category sections are preserved.
  • wiki/log.md has the index-refresh entry with counts (even if the counts are zero).
  • No page bodies were modified. No file under raw/ was modified.

Tools

wiki_search, wiki_read_page, wiki_write_page (for wiki/index.md and wiki/log.md only). Always include the operation issue's wikiId and spaceSlug.

Frequently asked questions

What does the Index Refresh AI skill do?

Use when an LLM Wiki operation issue requests an index refresh. Rebuild `wiki/index.md` from the actual wiki tree, reconcile missing/deleted entries, and log counts without editing page bodies.

Why use Index Refresh on TypingMind?

Because you install it once and use it with any model. Index Refresh 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 Index Refresh 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/index-refresh. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Index Refresh?

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 Index Refresh?

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

Is the Index Refresh 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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