New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Official agent skill

Scanning Experiments With Replay Vision

by PostHog in PostHog/posthog

Provisions a Replay Vision scanner scoped to one experiment's exposed sessions: sets experimenttargeting so the API derives the person-scoped exposure filter server-side, templates a prompt that…

OfficialCustom licenceAuto-check passedBackend & APIs

Install Scanning Experiments With Replay Vision

skills CLI
$ npx skills add PostHog/posthog --skill scanning-experiments-with-replay-vision -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install PostHog/posthog scanning-experiments-with-replay-vision --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/products/experiments/skills/scanning-experiments-with-replay-vision .claude/skills/scanning-experiments-with-replay-vision && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
scanning-experiments-with-replay-vision
GitHub stars
40k
Token cost
~5.9k tokens
SKILL.md length
3,025 words
Files
1
Skills in repo
254
Repo updated
First seen
Licence
Custom licence

At a glance

Provisions a Replay Vision scanner scoped to one experiment's exposed sessions: sets experimenttargeting so the API derives the person-scoped exposure filter server-side, templates a prompt that…

  • Works in 5 steps: Resolve the experiment → Point the scanner at the experiment → Scanner type and prompt template → …
  • : user wants Replay Vision to watch an experiment
  • SKILL.md covers Step 1: Resolve the experiment, Step 2: Point the scanner at…, Step 3: Scanner type and… and Step 4: Size it against the…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scanning Experiments With Replay Vision is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Provisions a Replay Vision scanner scoped to one experiment's exposed sessions: sets experimenttargeting so the API derives the person-scoped exposure filter server-side, templates a prompt that stays comparable across variants, sizes credit spend against the experiment's own population, and creates the scanner disabled so its prompt can be previewed on real sessions before it sweeps. TRIGGER when: user wants Replay Vision to watch an experiment, asks to scan or analyze an experiment's recordings with AI, asks…

Its SKILL.md is about 5.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering Backend development. The repository describes itself as: :hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error…

When your agent uses it

  • : user wants Replay Vision to watch an experiment
  • Analyze an experiments recordings with AI
  • Asks what are users actually doing in the test variant
  • Wants a scanner scoped to an experiments exposed sessions

Example prompts

  • “s recordings with AI, asks”
  • “, or wants a scanner scoped to an experiment”
  • “Use the scanning-experiments-with-replay-vision skill to provision a Replay Vision scanner scoped to one experiment's exposed sessions: sets…”
  • “/scanning-experiments-with-replay-vision”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Resolve the experiment
  2. Point the scanner at the experiment
  3. Scanner type and prompt template
  4. Size it against the experiment, not the month
  5. Create disabled, preview, then hand over

What it can do on your machine

Read from SKILL.md and the folder at commit c012c8d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json and sql).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scanning Experiments With Replay Vision loads about 5.9k tokens when it runs. Until then it costs about 250 tokens; SKILL.md has 3,025 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~250
When it runs · the whole SKILL.md, loaded when a task matches
~5.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 3,025 words (~5,928 tokens).

“The job: "I'm running an experiment. Watch the recordings and tell me what's actually happening in each variant."”

— opening of SKILL.md by PostHog, Custom licence
name
scanning-experiments-with-replay-vision

Read the full SKILL.md on GitHub

Files

Just SKILL.md in products/experiments/skills/scanning-experiments-with-replay-vision of PostHog/posthog.

Open the folder on GitHubat commit c012c8d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in PostHog/posthog, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Scanning Experiments With Replay Vision next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scanning Experiments With Replay Vision compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scanning Experiments With Replay Vision this skillPostHog/posthog40k—~5.9kAutomated safety check: PassCustom licence
Configuring Horizoncoollabsio/coolify63k4 repos~898Automated safety check: PassMIT
Fortify Developmentcoollabsio/coolify63k4 repos~1.9kAutomated safety check: PassMIT
Node Backend Development Guidelinesdiet103/claude-code-infrastructure-showcase10k2 repos~2kAutomated safety check: PassMIT
Laravel Best Practicesanonaddy/anonaddy4.9k13 repos~1.2kAutomated safety check: PassMIT
Laravel Actionscoollabsio/coolify63k—~2.4kAutomated safety check: PassApache-2.0

Similar skills

  • Configuring Horizon

    coollabsio/coolify

    A skill your agent uses whenever the user mentions Horizon by name in a Laravel context.

    63k GitHub starsUsed in 4 repos~898 tokens
    Backend & APIsAuto-check passed

  • Fortify Development

    coollabsio/coolify

    ACTIVATE when the user works on authentication in Laravel. An agent skill from coollabsio/coolify.

    63k GitHub starsUsed in 4 repos~1.9k tokens
    Backend & APIsAuto-check passed

  • Node Backend Development Guidelines

    diet103/claude-code-infrastructure-showcase

    Sets layered architecture and coding rules for Node.js, Express and TypeScript microservices, covering routes, controllers, services, repositories, Prisma, Sentry and Zod.

    10k GitHub starsUsed in 2 repos~2k tokens
    Backend & APIsAuto-check passed

  • Laravel Best Practices

    anonaddy/anonaddy

    Apply this skill whenever writing, reviewing, or refactoring Laravel PHP code.

    4.9k GitHub starsUsed in 13 repos~1.2k tokens
    Backend & APIsAuto-check passed

  • Laravel Actions

    coollabsio/coolify

    Build, refactor, and troubleshoot Laravel Actions using lorisleiva/laravel-actions.

    63k GitHub stars~2.4k tokensUpdated today
    Backend & APIsAuto-check passed

  • Nodejs Backend Patterns

    ever-works/ever-works

    Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices.

    162 GitHub starsUsed in 18 repos~4k tokens
    Backend & APIsAuto-check passed

More from PostHog/posthog

All 254 skills in this repo

  • Authoring Log Alerts

    PostHog/posthog

    Official

    Author useful, low-noise log alerts on services in a PostHog project.

    40k GitHub stars~3k tokensUpdated today
    Auto-check passed

  • Autoresolving PR Conflicts

    PostHog/posthog

    Official

    Operating procedure for the conflict-autoresolver agent: sweep open PostHog/posthog PRs that conflict with master, resolve the trivial conflicts (generated artifacts deterministically, source…

    40k GitHub stars~4.2k tokensUpdated today
    Auto-check passed

  • Diagnosing Stacktrace Symbolication

    PostHog/posthog

    Official

    Help users debug PostHog Error Tracking stack-trace symbolication for any supported platform — JavaScript/TypeScript web, React Native (Hermes), Android (Proguard / R8), or iOS / macOS (dSYM).

    40k GitHub stars~2.2k tokensUpdated today
    Auto-check passed

  • Exploring Apm Traces

    PostHog/posthog

    Official

    Investigates distributed application performance using PostHog APM (OpenTelemetry span) data via MCP.

    40k GitHub stars~3.5k tokensUpdated today
    Auto-check passed

  • Exploring LLM Traces

    PostHog/posthog

    Official

    Debug and inspect LLM/AI agent traces using PostHog's MCP tools.

    40k GitHub stars~4.4k tokensUpdated today
    Auto-check passed

  • Investigate Metric

    PostHog/posthog

    Official

    Diagnose why a product metric changed (dropped, spiked, or plateaued) by orchestrating breakdowns, actors, paths, lifecycle, retention, and annotations queries.

    40k GitHub stars~1.9k tokensUpdated today
    Auto-check passed

Categories

Questions about Scanning Experiments With Replay Vision

What does Scanning Experiments With Replay Vision do?

Provisions a Replay Vision scanner scoped to one experiment's exposed sessions: sets experimenttargeting so the API derives the person-scoped exposure filter server-side, templates a prompt that…. Scanning Experiments With Replay Vision is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Provisions a Replay Vision scanner scoped to one experiment's exposed sessions: sets experimenttargeting so the API derives the person-scoped exposure filter server-side, templates a prompt that stays comparable across variants, sizes credit spend against the experiment's own population, and creates the scanner disabled so its prompt can be previewed on real sessions before it sweeps.

When should I use Scanning Experiments With Replay Vision?

Scanning Experiments With Replay Vision fits situations like: : user wants Replay Vision to watch an experiment; analyze an experiments recordings with AI; asks what are users actually doing in the test variant; wants a scanner scoped to an experiments exposed sessions.

How do I install Scanning Experiments With Replay Vision in Claude Code?

Run `npx skills add PostHog/posthog --skill scanning-experiments-with-replay-vision -a claude-code`. Or copy the skill folder (products/experiments/skills/scanning-experiments-with-replay-vision in PostHog/posthog) into .claude/skills/scanning-experiments-with-replay-vision in your project. Claude Code loads it when a task matches its description.

How do I install Scanning Experiments With Replay Vision in Codex?

Run `npx skills add PostHog/posthog --skill scanning-experiments-with-replay-vision -a codex`. Or copy the skill folder (products/experiments/skills/scanning-experiments-with-replay-vision in PostHog/posthog) into .agents/skills/scanning-experiments-with-replay-vision in your project. Codex loads it when a task matches its description.

Can I use Scanning Experiments With Replay Vision in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add PostHog/posthog --skill scanning-experiments-with-replay-vision -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scanning-experiments-with-replay-vision, .gemini/skills/scanning-experiments-with-replay-vision, .github/skills/scanning-experiments-with-replay-vision and .opencode/skills/scanning-experiments-with-replay-vision in your project.

What does Scanning Experiments With Replay Vision need to run?

SKILL.md names no scripts, command-line tools or credentials: Scanning Experiments With Replay Vision is instructions for the agent only.

Does Scanning Experiments With Replay Vision access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Scanning Experiments With Replay Vision safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Scanning Experiments With Replay Vision use?

Scanning Experiments With Replay Vision has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Scanning Experiments With Replay Vision use?

About 5.9k tokens (SKILL.md is roughly 24k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Scanning Experiments With Replay Vision?

Skills that share tags, products or a category with Scanning Experiments With Replay Vision: Configuring Horizon (coollabsio/coolify, 63k stars), Fortify Development (coollabsio/coolify, 63k stars), Node Backend Development Guidelines (diet103/claude-code-infrastructure-showcase, 10k stars) and Laravel Best Practices (anonaddy/anonaddy, 4.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scanning Experiments With Replay Vision?

PostHog (a GitHub organization, an official publisher) maintains it in PostHog/posthog, which has 40,209 GitHub stars. The repository holds 254 skills in this directory. The repository was last updated on October 10, 2026.

Source: PostHog/posthog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.