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✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

SleekView Charts for Scripts n Styles: per-post code dashboards

Read directly from wp_postmeta rows keyed on _sns_styles, _sns_scripts, _sns_classes, and the per-post _sns_size values, then chart posts with custom code, payload size, and where on the site the extra CSS and JS actually live.

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SleekView Charts dashboard for Scripts n Styles

The plugin attaches code, charts finally summarise the spread

Scripts n Styles lets editors paste CSS, JS, and body classes into individual posts and pages, storing each blob as a postmeta row. That flexibility is genuinely useful, but a year in nobody knows how many posts carry custom code, how big the payloads are, or whether a single landing page is shipping ten kilobytes of inline JS to every reader.

SleekView Charts reads the same wp_postmeta rows the plugin writes. A Number card pins total posts carrying custom code. A Pie breaks down posts by which kind of code they have, CSS only, JS only, or both. A Bar ranks post types by per-post code payload size. An Area card plots when custom code was last edited so a stale wave of one-off styles becomes visible across a year of content.

The plugin keeps owning the editor, the saving, and the output filter. SleekView Charts owns the dashboard layer on top, reading the _sns_styles, _sns_scripts, and _sns_classes meta keys live, so the dashboard reflects the current state of inline code across the entire content tree rather than a one-off audit nobody trusts.

Workflow

How SleekView Charts reads Scripts n Styles data

1

Point at the Scripts n Styles meta

Choose wp_postmeta filtered to the _sns_styles, _sns_scripts, and _sns_classes keys. SleekView reads the joined wp_posts row and offers post type, status, author, and modified date as group-by candidates.
2

Configure the chart cards

Drop a Number card for posts carrying custom code, a Pie for the CSS vs JS vs both breakdown, a Bar for post types by payload size, and an Area card for edits per month. Each card maps a column to an aggregation in a single dropdown.
3

Filter once, apply everywhere

Set a date range, a post type, or an author at the view level and every chart card respects it. A dashboard scoped to landing pages never quietly pulls in blog posts, and the reverse is also true across the content tree.
4

Save and share by capability

Name the view ("Inline code audit", "Custom CSS spread") and gate access by WordPress capability so editors, developers, and performance reviewers each see the cards relevant to their slice of the audit.

Sample dashboard

Charts you can build from Scripts n Styles data

A few card configurations that turn the plugin's per-post metadata into a working inline-code audit dashboard, so the real spread of custom CSS and JS across the site finally becomes visible.
Number · Default

Posts with custom code

A single big-number KPI counting distinct post_id values in wp_postmeta where meta_key matches the _sns_ prefix, with the prior quarter underneath for context on growth.
Count
Pie · Donut

Posts by code kind

A donut split across CSS only, JS only, body classes only, and combinations, computed from which of the _sns_styles, _sns_scripts, and _sns_classes meta keys are populated on each post.
Count group by code_kind
Bar · Horizontal

Post types by payload size

A horizontal bar ranking post_type values by total bytes of inline code, summing the length of _sns_styles and _sns_scripts meta values, so heavyweight post types surface immediately.
Sum(sns_payload_bytes) group by post_type
Area · Gradient

Inline code edits over time

A gradient area chart of post_modified timestamps on posts that carry _sns_ meta rows, so the rhythm of inline-code edits across the year becomes a visible curve instead of guesswork.
Count group by post_modified

Comparison

Default Scripts n Styles editor vs SleekView Charts

Default per-post code editor

  • The plugin is per-post by design and has no site-wide list of which posts carry code
  • No way to see how many posts ship CSS versus JS versus body classes without checking each
  • Payload size per post is invisible from the admin, even though it ships on every render
  • Edit history across all posts with inline code is buried behind individual post screens
  • Auditing inline code site-wide requires writing custom SQL against wp_postmeta

SleekView Charts

  • Number cards for posts carrying custom code from _sns_ meta rows
  • Pie or Donut cards split by which code kind a post has, computed live from meta
  • Bar cards ranking post_type by total inline code bytes shipped to readers
  • Area cards plotting post_modified timestamps so edit cadence is visible
  • Same filters as the SleekView table apply to every chart card on the dashboard

Features

What SleekView Charts gives you for Scripts n Styles

Real postmeta drives real charts

Charts read directly from wp_postmeta rows keyed on _sns_styles, _sns_scripts, and _sns_classes, so every card reflects the live state of inline code rather than a stale spreadsheet.

Filters flow across cards

Set a post type, a date range, or an author once and every chart card on the dashboard respects it. The same configuration that drives the editing table drives the reporting view without extra setup.

Spot inline code bloat in seconds

A post type shipping fifty kilobytes of inline JS across every render jumps out of a horizontal bar in a way no individual post editor could surface, so performance cleanup gets a priority list.

Audience

Who builds Scripts n Styles chart dashboards

WordPress developers

Audit which content actually ships custom code. A pie of code kinds and a bar of post types surface the work that has to happen before refactoring inline styles into a real stylesheet.

Performance reviewers

Track payload size by post type on a trendline. If landing pages are creeping past ten kilobytes of inline JS, the chart catches it before users start feeling the slowdown.

Agency leads

Hand clients an audit dashboard that quantifies inline-code spread rather than a vague warning about technical debt. The cards put real numbers on the conversation.

The bigger picture

Why per-post code deserves a chart view

Scripts n Styles does the right thing for its job, which is letting editors attach a one-off snippet of CSS or JS to a specific post without touching the theme. The plugin deliberately stays per-post and leaves reporting alone, which is fine for the first few posts and increasingly painful as years of edits accumulate. Editors lose track of which posts still need their custom styles, developers cannot tell which post types ship the heaviest inline payloads, and performance reviews drag because nobody has a site-wide view.

SleekView Charts reads the same _sns_ meta rows the plugin writes, pivots code kind and payload size into chart sources, and lets a small set of cards summarise the spread. The plugin keeps owning the editor, the chart layer owns summarisation, and the conversation about inline-code hygiene finally has numbers instead of vague unease.

Questions

Common questions about SleekView Charts for Scripts n Styles

Directly from wp_postmeta rows keyed on _sns_styles, _sns_scripts, and _sns_classes, joined to the matching wp_posts rows for post type, status, and modified date. No shadow copy or export pipeline. Cards run live queries against the same meta the plugin writes.

 

Yes. The plugin's meta keys have stayed stable across recent versions, so the _sns_ prefix is a reliable source. If a fork or successor changes the prefix, edit the SleekView source filter to match and every chart card picks up the new key without further changes.

 

Yes. SleekView reads the length of the _sns_styles and _sns_scripts meta values as a numeric column, so a Bar card grouped by post_type with that value summed surfaces which content categories ship the heaviest inline code on every render.

 

Yes. SleekView only queries the columns and rows the active cards need, so a multi-thousand-row wp_postmeta produces a lean grouped count rather than a full table scan. Heavy aggregations are pushed to the database engine and cached at the view level.

 

When the meta row is deleted the post drops out of the chart counts automatically, because cards query live wp_postmeta state. To track historical removals, point a separate source at an activity log plugin and chart deletions alongside the current count.

 

Yes. View-level filters for post type, author, status, or date range apply to every chart card on the dashboard. One saved configuration drives both the editing table and the reporting view, so investigation and summary stay aligned across the entire audit.

 

Charts are read-only summaries by design. To act on an insight, switch to the SleekView table filtered to the same slice (for example, posts with heavy inline JS) and open each one in the plugin's editor from there. Code editing stays inside the existing workflow.

 

No. The per-post code editor, the body class field, and the output filtering stay exactly where the plugin puts them. SleekView Charts adds a reporting surface on top of the postmeta the plugin already writes, so editing stays a single-screen task and the dashboard owns the summarisation.

 

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