finding-experiments
Skill1 starsChanged 20 days agoMITView on GitHub
Resolves a PostHog experiment reference from natural language to a concrete experiment ID by browsing `experiment-list` (not feature-flag tools), with disambiguation when multiple experiments match. Use when the user names or quotes an experiment ("split test demo", "the File engagement boost experiment", "onboarding retention test", "landing page hero experiment", "pricing experiment"), describes it loosely ("the signup experiment", "my pricing test", "the one with the new checkout"), uses a relative reference ("latest", "most recent", "the one I created yesterday"), filters by status (running, draft, paused, exposure frozen, stopped, archived), or otherwise refers to an experiment by anything other than its concrete ID.
2 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- PostHog/ai-pluginedited, first seen Sep 25, 2026
- PostHog/skillsedited, first seen Sep 13, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 2
- PostHog/ai-plugin★ 10078% same
- PostHog/skills★ 7878% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository112 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .agents/skills/react-best-practices/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- ab-testingSkill
- ad-creativeSkill
- adsSkill
- ai-seoSkill
- analyticsSkill
- asoSkill
- attributionSkill
- auditing-experiments-flagsSkill
- churn-preventionSkill
- cleaning-up-stale-feature-flagsSkill
- cloudflareSkill
- cold-emailSkill
- co-marketingSkill
- community-marketingSkill
- competitor-profilingSkill
- competitorsSkill
- configuring-experiment-analyticsSkill
- configuring-experiment-rolloutSkill
- content-strategySkill
- copy-editingSkill
- copying-flags-across-projectsSkill
- copywritingSkill
- create-prdSkill
- creating-experimentsSkill
- croSkill
- customer-researchSkill
- deployments-cicdSkill
- diagnosing-sdk-healthSkill
- directory-submissionsSkill
- e2e-testing-patternsSkill
- eas-app-storesSkill
- eas-hostingSkill
- eas-update-insightsSkill
- eas-workflowsSkill
- emailsSkill
- env-varsSkill
- eventsSkill
- expo-data-fetchingSkill
- expo-dev-clientSkill
- expo-routerSkill
- expo-upgradeSkill
- find-skillsSkill
- free-toolsSkill
- frontend-designSkill
- github-actionsSkill
- grill-with-docsSkill
- imageSkill
- infisical-apiSkill
- infisical-secret-syncsSkill
- infisical-user-setup-guideSkill
- influencer-marketingSkill
- instrument-feature-flagsSkill
- instrument-product-analyticsSkill
- investigate-metricSkill
- launchSkill
- lead-magnetsSkill
- maestro-mobile-testingSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
Use the experiment-list tool from the Posthog-local MCP server.
- Distinctive: line 29
Exactly one match: Use it. Confirm with the user by name before destructive actions (delete, ship, end).
- Very specific: line 35
After resolving to an ID, call experiment-get for the full object (metrics, flag details, parameters).
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Finding experiments
Users refer to experiments by name, description, or relative references — not by ID. This skill resolves natural language references to concrete experiment IDs.
How to find an experiment
Use the experiment-list tool from the Posthog-local MCP server.
IMPORTANT: Do NOT use feature-flag-get-all or any feature flag tool to find
experiments. Use the dedicated experiment list tool: experiment-list.
This tool returns experiments with their id, name, status, feature_flag_key, start_date, end_date, and created_at. Browse the returned list to find the experiment matching the user's reference:
- By name: scan the
namefield for matches - By recency: results are ordered newest first by default
- By status: match the
statusfield (draft, running, paused, exposure_frozen, stopped) - By flag key: match the
feature_flag_keyfield
After finding matches
- Exactly one match: Use it. Confirm with the user by name before destructive actions (delete, ship, end).
- Multiple matches: List them with name, status, and creation date. Ask the user to pick.
- No matches: Tell the user. Suggest checking archived experiments or different terms.
Get full details if needed
After resolving to an ID, call experiment-get for the full object (metrics, flag details, parameters).
Examples
User: "pause my signup experiment"
Agent:
1. Calls experiment-list
2. Scans results, finds "New signup process" (ID: 1371, status: running)
3. Proceeds to pause experiment 1371When NOT to search
- You already have the experiment ID from earlier in the conversation
- The user just created the experiment — you have the ID from the create response
- The user provided the ID directly
Related skills
managing-experiment-lifecycle— act on the experiment once you've resolved its IDdiagnosing-experiment-results— investigate the experiment you found
Does it work?
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

