Intranet Page Lifecycle Review logo

Intranet Page Lifecycle Review

Organization
pnp
intranet-page-lifecycle-review

Run a read-only lifecycle audit of the current SharePoint site's Site Pages library and create a self-contained HTML report covering stale, draft, never-published, unpublished-change, and checked-out pages. Use when the user says: - "Review the intranet page lifecycle" - "Find stale or unpublished pages" - "Audit Site Pages" - "Create a page lifecycle report" - "Show checked-out pages and drafts"

Overview

Publisherpnp
Repositorysharepoint-skills
Skill nameintranet-page-lifecycle-review
Stars
141
Forks
60
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 pnp on GitHub. Read the source before you install it.

Installation

Install the Intranet Page Lifecycle Review 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/pnp/sharepoint-skills/tree/main/Skills/intranet-page-lifecycle-review/intranet-page-lifecycle-review
  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/pnp/sharepoint-skills.git /tmp/sharepoint-skills
mkdir -p .claude/skills
cp -r /tmp/sharepoint-skills/Skills/intranet-page-lifecycle-review/intranet-page-lifecycle-review .claude/skills/intranet-page-lifecycle-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Intranet Page Lifecycle Review 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 Intranet Page Lifecycle Review 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 Intranet Page Lifecycle Review 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.

Intranet Page Lifecycle Review

When to use

Use this skill to audit the current SharePoint site's Site Pages library for page lifecycle findings and produce a self-contained HTML report. The review is strictly read-only with respect to pages and library items.

Trigger for requests to review, audit, or report on stale pages, drafts, never-published pages, pages with unpublished changes, or checked-out pages.

Inputs

  • Current SharePoint site from live site context.
  • Current date and site timezone from context.now or the equivalent authoritative date/time tool.
  • Optional user-supplied inactivity period. Default to 6 calendar months.
  • Optional report name or destination. Default to Intranet Page Lifecycle Review.html in the current location when suitable; otherwise save it in a location supported by the HTML output tool and return its link.

Steps

  1. Carry the live current-site context into every workflow. Discover the current site's lists and libraries and identify the Site Pages library from its observed title, URL, and library/template metadata. Don't assume a list ID or rebuild a library URL.
  2. Learn and use only the required read and output tools. Typical tools are lists.discover, lists.getSchema, lists.getItems, files.getVersions, context.now, and output.html or output.htmlReport.
  3. Perform reconnaissance before creating the report:
    • Read the Site Pages schema and a representative sample.
    • Map the actual internal columns for page title/name, file reference or URL, Created, Author, Modified, Editor, moderation/publishing state, version, checkout state, and checkout user.
    • Use fieldText for Person, Lookup, and other structured field values.
    • Don't guess internal column names or status encodings.
  4. Enumerate the full Site Pages library with pagination or an adequate row limit. Include page files and exclude folders and non-page support items. Preserve the page URL returned by SharePoint rather than fabricating one.
  5. Read version history when needed to distinguish publication states. Determine state from observed metadata and version evidence:
    • Draft status: the current page metadata explicitly identifies it as Draft.
    • Never been published: version history contains no published major version. Don't infer this from age or title.
    • Published with unpublished changes: version history contains at least one published major version, while the current page is a later draft/minor version or metadata explicitly reports unpublished changes.
    • Published: the current version is published and has no later unpublished changes.
    • If version evidence is unavailable or ambiguous, label the publishing status Unknown and explain the limitation; don't invent a status.
  6. Determine checkout status from the observed checkout metadata. Report Checked out only when the metadata confirms it, and show the checked-out user when available. Otherwise report Not checked out or Unknown as supported by the source.
  7. Calculate the stale threshold as the date exactly six calendar months before the authoritative current date, respecting the site timezone. Flag pages whose Modified timestamp is strictly earlier than that threshold. State the concrete threshold date in the report.
  8. Include a page when it has at least one of these findings:
    • Not modified within the last six months
    • Draft status
    • Never published
    • Published with unpublished changes
    • Currently checked out
  9. Findings can overlap. For each page, combine every applicable reason in Finding reason; don't duplicate the page into separate rows. Compute summary totals for unique pages reviewed, unique pages with findings, and each finding category independently.
  10. Recommend a non-destructive follow-up based on the evidence:
    • Stale: Confirm ownership and relevance; consider updating or starting the approved archival process.
    • Draft: Ask the owner to review and either publish through the approved process or continue editing.
    • Never published: Confirm whether the page is still needed; ask the owner to complete review or follow the approved removal process.
    • Unpublished changes: Ask the editor to review the pending changes and publish through the approved process if ready.
    • Checked out: Contact the checked-out user to complete or release the checkout through the approved process. Combine applicable recommendations without claiming any action was taken.
  11. Sort findings first by publishing status using a stable, documented order (Never published, Draft, Published with unpublished changes, Published, Unknown), then by Modified date ascending so the oldest page appears first within each status. Use title as a final tie-breaker.
  12. Split inspection and output into separate workflows when required: the first workflow reads and returns schema/sample/evidence; the second creates the report from inspected data. Perform all reads before the output write.
  13. Generate one self-contained HTML report with embedded CSS and no external runtime dependencies. Escape all source text before placing it in HTML. Make page URLs clickable.
  14. Return a concise completion message with the report link, the number of pages reviewed, the number with findings, the concrete stale threshold, and category totals.
  15. If a read or version-history call fails or returns incomplete data, say so in the report and completion message. Don't fabricate values or silently classify uncertain pages.

Output format

Create a self-contained HTML document containing:

  1. Header

    • Report title
    • Site name or URL
    • Generated timestamp and timezone
    • Stale threshold date
    • A clear Read-only review label
  2. Summary cards

    • Pages reviewed
    • Pages with one or more findings
    • Stale pages
    • Draft pages
    • Never-published pages
    • Published pages with unpublished changes
    • Checked-out pages
    • Unknown/incomplete classifications, when any
  3. Findings table with exactly these user-facing columns:

    • Page title
    • Page URL
    • Created date and created by
    • Modified date and modified by
    • Publishing status
    • Checked-out status and checked out by
    • Finding reason
    • Recommended action
  4. Method and limitations

    • Classification rules used
    • Concrete six-month threshold
    • Note that totals can overlap
    • Any missing fields, unreadable version histories, or ambiguous statuses
    • Statement that the skill made no page or library-item changes

Use ISO-style unambiguous dates with local timezone where possible. Show Not available for missing display values rather than leaving cells blank.

Constraints

  • Never edit, publish, unpublish, check in, check out, discard changes, move, copy, rename, archive, delete, restore, approve, reject, or change metadata on a page.
  • Never change library settings, versioning, approvals, permissions, navigation, or views.
  • The only permitted write is creation of the requested HTML report.
  • Don't ask for confirmation to perform page changes because page changes are forbidden by this skill.
  • Ground every finding in current Site Pages metadata and, where required, version history.

Frequently asked questions

What does the Intranet Page Lifecycle Review AI skill do?

Run a read-only lifecycle audit of the current SharePoint site's Site Pages library and create a self-contained HTML report covering stale, draft, never-published, unpublished-change, and checked-out pages. Use when the user says: - "Review the intranet page lifecycle" - "Find stale or unpublished pages" - "Audit Site Pages" - "Create a page lifecycle report" - "Show checked-out pages and drafts"

Why use Intranet Page Lifecycle Review on TypingMind?

Because you install it once and use it with any model. Intranet Page Lifecycle Review 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 Intranet Page Lifecycle Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pnp/sharepoint-skills/tree/main/Skills/intranet-page-lifecycle-review/intranet-page-lifecycle-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Intranet Page Lifecycle Review?

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 Intranet Page Lifecycle Review?

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

Is the Intranet Page Lifecycle Review AI skill free?

Yes. It is published on GitHub by pnp 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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