Inspects URL paths and proposes, tests, orders, and applies project-level path cleaning rules so dynamic segments (numeric IDs, UUIDs, slugs, dates) collapse into readable aliases. Use when the user says "clean the paths", "normalize URLs", "group similar pages", "too many distinct paths", "/users/123 and /users/456 are the same page", "set up path cleaning", or asks why a Web analytics or Paths breakdown is fragmented across thousands of nearly-identical URLs. Covers regex syntax (re2), alias placeholder convention, rule ordering, the test workflow, and applying rules via the project-settings-update MCP tool.
npx skills add https://github.com/PostHog/skills --skill managing-path-cleaning-rules
Path cleaning rules normalize $pathname and $entry_pathname so that pages
sharing the same template (/users/123/profile, /users/456/profile, …) collapse
into one row (/users/<id>/profile) in Web analytics tiles, Paths insights, and
any HogQL query that calls apply_path_cleaning. They are the right answer when
a breakdown is fragmented across thousands of near-identical URLs.
This skill teaches you how to:
regex + alias rules in re2 syntax with the project's placeholderconvention
Team.path_cleaning_filters is a JSON list of PathCleaningFilter objects:
{
"regex": "/users/\\d+/profile",
"alias": "/users/<id>/profile",
"order": 0
}
regex — a re2 pattern. Noneed to escape /. Anchor with ^ / $ when you mean it.
alias — the literal replacement. Use angle-bracket placeholders(<id>, <slug>, <uuid>, <date>) by convention so the cleaned path stays
human-readable. The alias is _not_ a regex template — backreferences are not
supported.
order — integer. Rules apply sequentially in order ascending,each rule's output feeds the next.
Application is replaceRegexpAll(pathname, regex, alias) per rule, chained.
Source: posthog/hogql/property.py:613.
Ask yourself: is the user complaining about cardinality (too many distinct paths
in a chart), or do they want a per-URL drill-down? Path cleaning is for the
former. If they want per-URL data, suggest a property filter on $pathname
instead.
Don't guess at patterns — query them. With the execute-sql MCP tool:
SELECT properties.$pathname AS path, count() AS views
FROM events
WHERE event = '$pageview'
AND timestamp > now() - INTERVAL 7 DAY
GROUP BY path
ORDER BY views DESC
LIMIT 200
Scan the result for:
/users/123, /orders/4242/sessions/8f3c1a3b-…/posts/why-i-love-posthog/archive/2024-09-12/en-US/, /fr-FR/?page=3, /page/3/| Pattern | Example match | regex | alias |
| ------------------- | ---------------------- | ---------------------------- | ---------------------- |
| Numeric segment | /users/123/profile | /users/\d+/profile | /users/<id>/profile |
| UUID v4 | /sessions/8f3c1a3b-… | /sessions/[0-9a-f-]{36} | /sessions/<uuid> |
| Slug | /posts/why-posthog | /posts/[a-z0-9-]+$ | /posts/<slug> |
| ISO date | /archive/2024-09-12 | /archive/\d{4}-\d{2}-\d{2} | /archive/<date> |
| Locale prefix | /en-US/about | ^/[a-z]{2}-[A-Z]{2}/ | /<locale>/ |
| Trailing query/page | /blog?page=3 | \?page=\d+$ | (empty alias drops it) |
Anchoring rules of thumb:
^ only when the segment must be at the beginning ofthe path
$ to keep a generic rule (e.g. \d+$) from matching mid-pathsegments
Three options, pick one:
/settings/project#path_cleaning has a built-in"test path" input that replays the full ordered chain.
execute-sql): SELECT replaceRegexpAll('/users/42/profile', '/users/\d+/profile', '/users/<id>/profile')
Chain replaceRegexpAll calls in the same order the rules will run if you
want to verify multi-rule interaction.
AiRegexHelper modal accessiblefrom the rule editor (Help me with Regex button) that turns natural
language into a regex. Suggest it to the user when they say "I don't know
regex" — but always validate the output against real paths via the tester.
Sequential application means a generic rule placed first will swallow
everything that should have hit a specific rule.
order=0 /users/me/profile → /users/me/profile (specific, runs first)
order=1 /users/\d+/profile → /users/<id>/profile
order=2 /users/[a-z0-9-]+ → /users/<slug> (catch-all, runs last)
If /users/[a-z0-9-]+ ran first it would also match /users/me/profile and
make the more specific rule unreachable.
Use the project-settings-update tool with the full list (the field is
replaced, not merged):
{
"path_cleaning_filters": [
{ "regex": "/users/me/profile", "alias": "/users/me/profile", "order": 0 },
{ "regex": "/users/\\d+/profile", "alias": "/users/<id>/profile", "order": 1 },
{ "regex": "/users/[a-z0-9-]+", "alias": "/users/<slug>", "order": 2 }
]
}
Always read the existing rules first (project settings include
path_cleaning_filters) and merge — overwriting silently destroys whatever the
team has already configured.
When the user (or a HogQL query) opts in:
(PathCleaningToggle.tsx)
apply_path_cleaning(path_expr, team)The rules are stored once per project — they are not insight-scoped.
alias need double-escaping — ClickHouse'sreplaceRegexpAll supports \0 (whole match) and \1–\9 (capture
groups). In a JSON field or SQL string literal the backslash must be
doubled, so use \\1 in path_cleaning_filters / HogQL to get the \1
backreference at the ClickHouse layer.
$ — \d+ without an end anchor matches every numeric runin any path, so /blog/2024-09-12/post becomes
/blog/<num>-<num>-<num>/post when you only meant to match the year
segment. Use \d+$ or \d+(/|$) depending on intent.
/ — re2 does not require it. \/ works but adds noise.(?i) at thestart of the pattern for case-insensitive matching, e.g. (?i)/users/\d+.
path_cleaning_filters is overwrite, notappend. Always start from the current list.
every Web analytics / Paths chart that has cleaning enabled. Warn the user
before applying anything destructive.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
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Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Take posthog/managing-path-cleaning-rules from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.