En bref
Inspecte les chemins d'URL et propose, teste, commande et applique les règles de nettoyage de chemin au niveau du projet afin que les segments dynamiques (ID numériques, UUIDs, limaces, dates) s'effondrent en alias lisibles. Utilisez quand l'utilisateur dit "nettoyer les chemins", "normaliser les URLs", "grouper des pages similaires", "trop de chemins distincts", "/users/123 et /users/456 sont la même page", "configurer le nettoyage des chemins", ou demande pourquoi une ventilation Web analytique ou Paths est fragmentée à travers des milliers d'URL presque identiques. Couvre la syntaxe regex (re2), alias la convention placeholder, l'ordre des règles, le flux de travail de test et l'application des règles via l'outil MCP de nettoyage des chemins.
Ce que ça fait
- Modèle de données
- Flux de travail
- En cas d'application des règles
Pour qui, et un exemple
Les personnes dont la tâche correspond : Inspecte les chemins URL et propose, teste, commande et applique des règles de nettoyage de chemin au niveau du projet de sorte que les segments dynamiques (identifiants numériques, UUID, Stars, dates) s'effondrent en alias lisibles.
Exemple de demande : « Gestion des règles de nettoyage du chemin : Inspecte les chemins d'URL et propose, teste, commande et applique les règles de nettoyage de chemin au niveau du projet afin que les segments dynamiques (ID nu »
Inspecte les chemins d'URL et propose, teste, commande et applique les règles de nettoyage de chemin au niveau du projet afin que les segments dynamiques (ID numériques, UUIDs, limaces, dates) s'effondrent en alias lisibles. Exemple rédigé par iadujour.fr à partir du SKILL.md, non testé.
Installer
Claude Code : /plugin marketplace add PostHog/skills, puis /plugin install posthog-all@posthog-skills (README).
/plugin marketplace add PostHog/skills/plugin install posthog-all@posthog-skillsFonctionne avec
- Claude Code
Source : README : marketplace Claude Code `/plugin marketplace add PostHog/skills`. D’autres agents ne sont pas nommés.
Niveau : Intermédiaire
Suppose un projet déjà en place chez l’éditeur et les outils décrits dans le SKILL.md.
À savoir
Extrait du SKILL.md
La description d’origine, celle que l’agent lit pour décider de charger la skill (en anglais) :
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", […]
Citée depuis le SKILL.md au commit 445764b .
Le SKILL.md compte 197 lignes et 4 sections principales :
- Data model
- Workflow
- Where the rules apply
- Common pitfalls
Licence : MIT
Consultée le 13 novembre 2026 : fichier de licence du dépôt.
La licence autorise la reprise : le texte intégral du SKILL.md est reproduit ci-dessous, sans modification, avec sa mention de licence.
Texte intégral du SKILL.md
Reproduit sans modification depuis PostHog/skills (commit 445764b) , © PostHog, sous licence MIT (fichier de licence d’origine ).
Afficher le SKILL.md original (197 lignes, en anglais)
---
name: managing-path-cleaning-rules
description: '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 path-cleaning-rules-update MCP tool.'
---
# 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:
- recognize when path cleaning is the right tool
- inspect real paths to find what needs cleaning
- write `regex` + `alias` rules in re2 syntax with the project's placeholder
convention
- test rules before saving them
- order rules so specific patterns aren't swallowed by generic ones
- apply the rules via MCP
## Data model
`Team.path_cleaning_filters` is a JSON list of `PathCleaningFilter` objects:
```json
{
"regex": "/users/\\d+/profile",
"alias": "/users/<id>/profile",
"order": 0
}
```
- **`regex`** — a [re2](https://github.com/google/re2/wiki/Syntax) pattern. No
need to escape `/`. Anchor with `^` / `$` when you mean it.
- **`alias`** — the replacement. Default to angle-bracket placeholders
(`<id>`, `<slug>`, `<uuid>`, `<date>`) so the cleaned path stays
human-readable. Backreferences to the regex's capture groups also work, but
they cost more to evaluate — see the backreference pitfall below before
reaching for one.
- **`order`** — integer. Rules apply **sequentially** in `order` ascending,
each rule's output feeds the next.
Application is `replaceRegexpAll(pathname, regex, alias)` per rule, chained.
## Workflow
### 1. Confirm path cleaning is the right move
Ask yourself: is the user complaining about cardinality (too many distinct paths
in a chart), or do they want a per-URL drill-down? Path cleaning is for the
former. If they want per-URL data, suggest a property filter on `$pathname`
instead.
### 2. Inspect the real paths
Don't guess at patterns — query them. With the `execute-sql` MCP tool:
```sql
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:
- numeric IDs: `/users/123`, `/orders/4242`
- UUIDs: `/sessions/8f3c1a3b-…`
- slugs: `/posts/why-i-love-posthog`
- dates: `/archive/2024-09-12`
- locales: `/en-US/`, `/fr-FR/`
- pagination: `?page=3`, `/page/3/`
### 3. Draft regex + alias
| 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:
- start the regex with `^` only when the segment must be at the beginning of
the path
- end with `$` to keep a generic rule (e.g. `\d+$`) from matching mid-path
segments
### 4. Test before saving
Three options, pick one:
- **Settings page tester**: `/settings/project#path_cleaning` has a built-in
"test path" input that replays the full ordered chain.
- **Project HogQL** (via `execute-sql`):
```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.
- **Built-in AI helper**: there is already an `AiRegexHelper` modal accessible
from 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.
### 5. Order rules from most-specific to most-general
Sequential application means a generic rule placed first will swallow
everything that should have hit a specific rule.
```text
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.
### 6. Apply via MCP
Prefer the `path-cleaning-rules-update` tool. It reads the current rules,
applies granular operations (`append`, `insert`, `replace`, `remove`,
`reorder`), auto-numbers `order`, and — unless you pass `confirm: true` —
returns a **preview** of the resulting rules without saving. Pass
`sample_paths` to see how the resulting set rewrites real paths.
First call it without `confirm` to get the preview, surface that to the user,
then re-send the same call with `"confirm": true` to save:
```json
{
"operations": [{ "action": "append", "alias": "/users/<id>/profile", "regex": "/users/\\d+/profile" }],
"sample_paths": ["/users/123/profile", "/users/me/profile"]
}
```
Because the tool does the read-modify-write for you, you don't have to fetch
the full list, renumber `order`, or risk clobbering existing rules — the common
failure mode when editing `path_cleaning_filters` directly.
If you must fall back to `project-settings-update` (whole-list overwrite),
always **read the existing rules first** and merge — overwriting silently
destroys whatever the team has already configured.
## Where the rules apply
When the user (or a HogQL query) opts in:
- Web analytics: the **Path cleaning** toggle in the page header
- Paths insights: the path cleaning toggle in the insight filters
- HogQL: any query that calls `apply_path_cleaning(path_expr, team)`
The rules are stored once per project — they are not insight-scoped.
## Common pitfalls
- **Prefer a placeholder alias over a backreference** — a rule that substitutes
a capture group costs roughly 3x more per row than the same rule with a fixed
alias, because re2 has to track submatch boundaries instead of answering
match/no-match on its fast path. Reach for one only when it collapses several
near-identical rules into one, which is a clear net win since cleaning
evaluates every rule against every row. Keep the regex `^`-anchored either
way: `replaceRegexpAll` keeps scanning for further matches, so an unanchored
pattern is much more expensive than an anchored one.
- **Backreferences in `alias` need double-escaping** — ClickHouse's
`replaceRegexpAll` 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.
- **Forgetting `$`** — `\d+` without an end anchor matches every numeric run
in any path, so `/blog/2024-09-12/post` becomes
`/blog/<num>-<num>-<num>/post` when you only meant to match the year
segment. Use `\d+$` or `\d+(/|$)` depending on intent.
- **Escaping `/`** — re2 does not require it. `\/` works but adds noise.
- **Case sensitivity** — re2 is case-sensitive by default. Use `(?i)` at the
start of the pattern for case-insensitive matching, e.g. `(?i)/users/\d+`.
- **Replacing the whole list** — the raw `path_cleaning_filters` field is
overwrite, not append. Use `path-cleaning-rules-update` (which does the
read-modify-write for you) instead of hand-editing the field; if you must
edit it directly, always start from the current list.
- **Rules apply globally** — adding a rule can change historical numbers in
every Web analytics / Paths chart that has cleaning enabled. Warn the user
before applying anything destructive.
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