make-pages-interactive

name	make-pages-interactive
description	Turn a directory of static HTML pages into a live commenting surface. Injects a feedback library, starts a tiny server, and routes user comments into a JSONL inbox that the agent monitors and responds to by editing the pages. Trigger phrases — "make this page interactive", "make these pages interactive", "let me comment on this page", "add feedback to these pages".

Make Pages Interactive

Turns any folder of HTML files into a place the user can leave inline comments on (text selections, element selections, page-level notes). Comments POST to a local JSONL inbox; you (the agent) Monitor that inbox, edit the HTML in response, append to feedback/history.json, and the page auto-reloads with a walkthrough of what changed.

When to invoke

User says any of:

• "make this page interactive" / "make these pages interactive" → Setup flow
• "add feedback to this page" / "let me comment on this page" → Setup flow
• "set up feedback on " → Setup flow
• "stop the feedback server" / "kill the server" / "shut it down" → Stop flow
• "remove the feedback layer" / "make pages static again" → Removal flow
• "update the make-pages-interactive skill" → Update flow

Setup flow (when user wants to make pages interactive)

1. Identify the target directory. Usually the user's current working directory or a folder they named. If ambiguous, ask.
2. Inject the feedback tags into every *.html in that directory:

   python ~/.claude/skills/make-pages-interactive/scripts/inject.py <dir>
   

   Add --recursive if the pages live in subfolders. The script is idempotent — safe to re-run. It also creates <dir>/feedback/inbox.jsonl and <dir>/feedback/history.json if missing.
3. Pick a port. Default 5050. Before starting, check what's there:

   curl -s --max-time 2 http://localhost:5050/info
   

   • JSON with artifact_dir matching this <dir> → reuse it, skip to step 5.
   • JSON with a different artifact_dir → port is held by another exploration. Either ask the user to free it (lsof -ti:5050 | xargs kill) or use port 5051, 5052, … (try the next port; tell the user the URL).
   • No response → port 5050 is free.
4. Start the server in the background via Bash with run_in_background: true:

   python ~/.claude/skills/make-pages-interactive/lib/server.py <dir> --port <chosen>
   

   The server auto-shuts-down on parent death or 10 min of idle, so you don't need to manage its lifecycle.
5. Tell the user the URL. For example: http://localhost:5050/index.html (use whatever filename they actually have — index.html, report.html, etc.). If they have multiple pages, list the top-level ones.
6. Start a Monitor on the inbox so new comments notify you immediately:

   Monitor on path: <dir>/feedback/inbox.jsonl
   

   Do NOT poll — let the Monitor notification arrive.

Responding to a feedback batch

When a new batch arrives in inbox.jsonl:

• Read the entry. Each comment has a stable cf_id and a selector pointing to the exact element/text the user commented on.
• Edit the relevant HTML files to address each comment. Wrap each modified region with <span data-cf-change="ch-<short-slug>">…</span> (or add data-cf-change to an existing wrapping element) so the post-reload walkthrough can find the change. One anchor per change.
• Append a new batch object to the end of <dir>/feedback/history.json (newest = last; the library walks from the end to find the latest batch). Schema:

  {
    "batch_id": "b-<timestamp-or-slug>",
    "timestamp": "<ISO 8601>",
    "comments": [ /* echo back the inbox comments you addressed */ ],
    "changes": [
      {
        "id": "ch-<slug>",
        "in_response_to": ["<cf_id from inbox>"],
        "anchor": "ch-<slug>",   // must match a data-cf-change in the HTML
        "title": "short, concrete",
        "description": "longer prose (hidden in UI, just for the record)"
      }
    ]
  }
  

• The page polls history.json, sees the new batch, auto-reloads (scroll position preserved), and offers the user a walkthrough of the changes. The "processing…" banner clears automatically when any in_response_to matches a submitted comment id.

Post in-flight status while you work

When you receive feedback and start working, POST a short status string so the user sees what you're doing instead of just a generic spinner:

POST /status
{"comment_id": "<cf_id from inbox>", "message": "Filing 2 receipts to Google Sheet (~30s)"}

To clear an entry early, POST the same comment_id with message: null or "". Entries are auto-pruned by the server after 10 min so a crashed agent never leaves a stuck "working" message.

history.json remains the source of truth for "done" — the status message is decoration only. The banner clears the moment a matching batch lands in history.json, regardless of whether you cleared the status entry.

On startup in a directory that already has feedback

If you find <dir>/feedback/inbox.jsonl and <dir>/feedback/history.json and the skill has been invoked in this session:

1. Scan inbox for comment ids.
2. Scan history's changes[*].in_response_to union — those are already processed.
3. If unprocessed comments exist, tell the user the count and ask whether to process now.
4. Either way, set up the Monitor on the inbox.

Stop flow (user wants to kill the server)

1. Identify the port. If you started the server in this session, you know it. Otherwise check curl -s http://localhost:5050/info (try 5051, 5052 if 5050 returns nothing or a different artifact).
2. Kill it: lsof -ti:<port> | xargs kill (use kill -9 only if a plain kill doesn't free the port within a few seconds — the server traps SIGTERM and exits cleanly).
3. Confirm: lsof -i :<port> should be silent.
4. If you also started a Monitor on the inbox in this session, it will keep watching the file — that's fine, the file just won't get new entries.

Note: in most cases the user doesn't need to manually stop the server. It auto-shuts-down when (a) the parent process dies (e.g. they close the Claude Code window — within ~5–10 s) or (b) no client requests for 10 min. Manual stop is for the case where they want the port back right now in the same session.

Update flow (user wants the latest lib/)

python ~/.claude/skills/make-pages-interactive/scripts/update.py

Runs git pull --ff-only inside the skill dir. Requires git-clone install (the script tells the user how to re-install if not).

Removal flow (clean static copy)

If the user wants their HTML back to a clean, server-independent state:

python ~/.claude/skills/make-pages-interactive/scripts/inject.py <dir> --remove

Strips both tags from every *.html. Leaves the feedback/ directory alone (delete manually if not wanted).

Files in this skill

~/.claude/skills/make-pages-interactive/
├── SKILL.md              # this file (agent-facing)
├── README.md             # GitHub-facing docs (human readers)
├── LICENSE
├── lib/
│   ├── feedback.js       # client library: selection + commenting + tour
│   ├── feedback.css      # styles
│   └── server.py         # stdlib-only HTTP server
└── scripts/
    ├── inject.py         # idempotent tag injection / removal
    └── update.py         # git pull --ff-only

Gotchas

• The injected <link> and <script> reference absolute paths /lib/feedback.css and /lib/feedback.js. These resolve through server.py, which routes /lib/* to the skill's own lib/ directory. So pages only work when opened through this server — opening the HTML file directly in a browser will silently fail to load the feedback widget (the page itself still renders).
• history.json order matters: append (don't prepend). The library walks from the end to find the latest batch for the walkthrough.
• anchor values must match a data-cf-change attribute actually present in the HTML. Typos here cause "anchor not found" warnings post-reload.