MCPInstall

webflow-mcp:review-comments

Review open comment threads on a Webflow site and triage each one.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/webflow/webflow-skills --skill webflow-mcp:review-comments
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads webflow-mcp:review-comments automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Review open comment threads on a Webflow site and triage each one.

Input: $ARGUMENTS — a site name (e.g. "Workhaus"), site ID (e.g. 6808fd4eff835ee3af009d6f), or either with the -reply flag (e.g. Workhaus -reply).

Flags:

  • -reply — in addition to writing the report, post a bot reply to each non-open thread. Without this flag, the skill runs in report-only mode (read-only).

Parse $ARGUMENTS at the start: strip -reply from the input to get the site identifier, and set replyMode = true if -reply was present, false otherwise.


Step 1 — Resolve the site

If the site identifier is empty or blank — cross-site comment survey

  1. Call data_sites_tool > list_sites to get all sites. Page through until all are collected.
  2. For each site, call data_comments_tool > list_comment_threads with isResolved: false and limit: 100. Page through until all unresolved threads are collected. If the API does not support isResolved filtering, fetch all threads and filter client-side to isResolved === false. Process sites in batches of 20 (batch multiple actions in a single tool call). After each batch completes, log a progress line: Batch {N}/{total} done (sites {start}–{end}): {summary of findings, e.g. "all 0 threads" or "SiteName has X threads, rest 0"}.
  3. For each site, compute:
    • unresolvedCount = total unresolved threads
    • newestDate = the maximum lastUpdated value across all unresolved threads for that site (ISO → human-readable date, e.g. "Apr 3, 2026"). If no threads, show —.
    • oldestDate = the minimum lastUpdated value across all unresolved threads for that site (ISO → human-readable date). If no threads, show —.
  4. Sort sites by unresolvedCount descending. Take the top 10.
  5. Above the table, show a heading line: ### Checked {totalSiteCount} sites — {sitesWithUnresolved} have unresolved comments.
  6. Display a table in this format (link just the site name to https://webflow.com/design/{siteId}):
| Site | Unresolved Comments | Newest / Oldest |
|------|---------------------|-----------------|
| [Site Name](https://webflow.com/design/{siteId}) ({siteId}) | {N} | {newestDate} / {oldestDate} |
  1. After the table, tell the user: "Run /webflow-mcp:review-comments <site name or ID> to review a specific site."
  2. Write the survey output to a file:
    • Ensure comment-reviews/ exists (create with mkdir comment-reviews if not).
    • Filename: comment-reviews/triage-report-{YYYY-MM-DD-HH-MM}.md using the current local time (zero-padded).
    • File contents: a bold H1 title # **Webflow Comment Review**, then a blank line, then an H3 line ### Report created on: {human-readable date, time, and timezone, e.g. "April 16, 2026 at 10:39 AM PDT"}, then a blank line, then the H3 heading line (### Checked …) and the full table from steps 5–6 above, in markdown.
    • Log the path after writing, e.g. Report written to comment-reviews/triage-report-2026-04-16-14-30.md.
  3. Stop — do not proceed to Step 2.

If the site identifier looks like a Webflow site ID (24-char hex), use it directly.

Otherwise call data_sites_tool > list_sites and find the site whose displayName matches the identifier (case-insensitive). If no match, tell the user and stop.


Step 2 — Fetch all open threads

Always make a fresh API call here — never reuse thread data from earlier in the conversation. The user may have added or resolved comments since the last run.

Call data_comments_tool > list_comment_threads with isResolved: false and limit: 100. Page through results until all threads are collected.

Log: Site: {displayName} and Found {N} open thread(s).


Step 3 — Build page-level element map

From the already-fetched thread list, build a frequency map of elementId.element → Set<pageId> across all threads. Any elementId.element that appears on 2 or more distinct pages is almost certainly the page root/body element (a real element ID would be page-scoped; only shared structural roots repeat across pages).

No API calls needed — this is a local computation on the thread data.


Step 4 — Triage each thread

For each thread:

4a — Fetch replies

Call data_comments_tool > list_comment_replies for this thread.

4b — Dedup check

Look for replies whose content includes the string — 🤖 Comment Review Agent.

If found, note the most recent one (lastAgentReply). If no human reply exists with a createdOn after lastAgentReply.createdOn, skip this thread (increment skipped count, continue to next thread).

4c — Compute element context

  • elementId = thread.elementId?.element
  • isPageLevel = elementId appears on 2 or more distinct pageIds in the frequency map from Step 3

4d — Classify the thread

Use the following criteria:

noise — No real design or engineering value:

  • Test/placeholder text ("hello world", "testing", "asdf", random characters)
  • Casual reactions with no ask ("looks nice", "nice!", "hey hey")
  • Duplicate sentiments that add nothing

stale — Real concern, but old and likely handled:

  • Substantive comments older than 14 days with no replies and no follow-up
  • Questions that are probably resolved ("beta for how long?", "is this good contrast?")
  • Action items that normal review would have caught

open — Real, actionable concern needing attention:

  • Explicit tasks ("Should be sentence case", "fix image", "Look at name wrt L10N")
  • Design decisions still required
  • Specific and concrete concerns

page-level — Comment is on the page root, not a specific element:

  • Use this when isPageLevel is true
  • The comment is not anchored to any specific element — it may be intentional or may be an orphan from a deleted element

4e — Compose reply

Always compose the reply text (it appears in the report regardless of mode):

  • noise: one sentence confirming it's safe to resolve. E.g. "Looks like test text — safe to resolve."
  • stale: state the age in days, suggest resolving, invite reopen. E.g. "This is 302 days old with no follow-up. Safe to resolve — reply here if it's still relevant."
  • open: no reply text — surface in report only.
  • page-level: one sentence noting it's not attached to a specific element. E.g. "This comment is on the page root rather than a specific element — it may be an orphan from a deleted element. Safe to resolve if no longer relevant."

Append \n\n— 🤖 Comment Review Agent to every reply text.

4f — Post reply (only if replyMode = true)

If replyMode is true and verdict is not open, call data_comments_tool > create_reply with the composed reply content.

Log each thread as:

{VERDICT_EMOJI} {verdict}  "{preview (60 chars)}"
                {one-sentence classification reason}
                ↳ {reply posted | no reply — report only | skipped}

Verdict emojis: noise = 🗑, stale = 🕰, open = 🔴, page-level = 📄


Step 5 — Write the report

After processing all threads:

  1. Check whether a comment-reviews/ directory exists at the top level of the working directory. If it does not exist, create it with mkdir comment-reviews.
  2. Write a markdown report to comment-reviews/{slugified-site-name}-comments-triage-report.md (lowercase, hyphens, no special chars).

Report format:

# Comment Review — [{siteName} ({siteId})](https://webflow.com/design/{siteId})

**Run:** {human-readable date and time}
**Mode:** {Report only | Report + replies posted}
**Threads:** {total} total | 🔴 {open} open | 🕰 {stale} stale | 📄 {page-level} page-level | 🗑 {noise} noise | ⏭ {skipped} skipped

---

## 🔴 Needs Attention ({count})

| Comment | Author | Age | Link |
|---------|--------|-----|------|
| "{first 80 chars of content}" | {author.name} | {age in days}d | [Open ↗]({thread.url}) |

## 🕰 Stale — Candidates to Resolve ({count})

| Comment | Author | Age | Suggested Reply | Link |
|---------|--------|-----|-----------------|------|
| "{first 80 chars of content}" | {author.name} | {age in days}d | {composed reply text, without the `— 🤖 Comment Review Agent` suffix} | [Open ↗]({thread.url}) |

## 📄 Page-level — Not Anchored to a Specific Element ({count})

| Comment | Author | Age | Suggested Reply | Link |
|---------|--------|-----|-----------------|------|
...

---

**🗑 Noise:** {count} thread(s) — {if replyMode: "replied to" | if report-only: "suggested replies in report"}. Safe to bulk-resolve.

Use _None._ for any section with no entries.

Log a summary line and confirm the report path.

FAQ

What does the webflow-mcp:review-comments skill do?

Review open comment threads on a Webflow site and triage each one.

How do I install webflow-mcp:review-comments?

Run npx skills add https://github.com/webflow/webflow-skills --skill webflow-mcp:review-comments in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/webflow-mcp:review-comments/ (personal) or .claude/skills/webflow-mcp:review-comments/ (project).

Which AI agents can use webflow-mcp:review-comments?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is webflow-mcp:review-comments safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains webflow-mcp:review-comments?

It is published by webflow in webflow/webflow-skills. It has 687 recorded installs.

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