Official agent skill

Designing Replay Vision Scanners

by PostHog in PostHog/posthog

Designs a Replay Vision scanner that produces trustworthy observations: one visible question per scanner, a type chosen from the answer shape, a query that selects only sessions able to answer it, a…

OfficialCustom licenceAuto-check passed

Install Designing Replay Vision Scanners

skills CLI
$ npx skills add PostHog/posthog --skill designing-replay-vision-scanners -a claude-code

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

GitHub CLI
$ gh skill install PostHog/posthog designing-replay-vision-scanners --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/replay_vision/skills/designing-replay-vision-scanners .claude/skills/designing-replay-vision-scanners && 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
designing-replay-vision-scanners
GitHub stars
40k
Token cost
~3.5k tokens
SKILL.md length
2,003 words
Files
1
Skills in repo
254
Repo updated
First seen
Licence
Custom licence

At a glance

Designs a Replay Vision scanner that produces trustworthy observations: one visible question per scanner, a type chosen from the answer shape, a query that selects only sessions able to answer it, a…

  • Works in 6 steps: Test the question → Pick the type from the answer shape → Aim the query → …
  • : user wants to design
  • SKILL.md covers Step 1: Test the question, Step 2: Pick the type from the…, Step 3: Aim the query and Step 4: Write the prompt, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Designing Replay Vision Scanners is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Designs a Replay Vision scanner that produces trustworthy observations: one visible question per scanner, a type chosen from the answer shape, a query that selects only sessions able to answer it, a prompt that demands on-screen proof and allows no or inconclusive, a model picked by the cost of a wrong answer, and a first-batch test pass. Sizing and the create call stay in creating-replay-vision-scanners. TRIGGER when: user wants to design, draft, or improve a Replay Vision scanner or its prompt, asks what to…

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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 to design
  • Improve a Replay Vision scanner
  • Asks what to scan for
  • Asks why a scanner returns vague observations

Example prompts

  • “Use the designing-replay-vision-scanners skill to design a Replay Vision scanner that produces trustworthy observations: one visible question per…”
  • “/designing-replay-vision-scanners”

Workflow steps

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

  1. Test the question
  2. Pick the type from the answer shape
  3. Aim the query
  4. Write the prompt
  5. Pick the model by the cost of a wrong answer
  6. Test on the first batch

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.

    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

Designing Replay Vision Scanners loads about 3.5k tokens when it runs. Until then it costs about 239 tokens; SKILL.md has 2,003 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~239
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k

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 2,003 words (~3,546 tokens).

“A scanner is one prompt applied to one recording at a time. It watches the recording and writes an observation. Replay Vision fixes the watching part. It does not fix the thinking part. The thinking is the design work this…”

— opening of SKILL.md by PostHog, Custom licence
name
designing-replay-vision-scanners

Read the full SKILL.md on GitHub

Files

Just SKILL.md in products/replay_vision/skills/designing-replay-vision-scanners 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

Designing Replay Vision Scanners 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.

Designing Replay Vision Scanners compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Designing Replay Vision Scanners this skillPostHog/posthog40k—~3.5kAutomated safety check: PassCustom licence
Observability Designeralirezarezvani/claude-skills28k—~3.5kAutomated safety check: PassMIT
Design Systemaffaan-m/ECC276k—~698Automated safety check: PassMIT
Design Guidepaperclipai/paperclip100k1 repos~3.1kAutomated safety check: PassMIT
Design Audit Against Rams' Principlesthedotmack/claude-mem99k—~4.6kAutomated safety check: PassApache-2.0
Figma Design to Codewarpdotdev/warp65k4 repos~2.9kAutomated safety check: PassAGPL-3.0

Similar skills

  • Observability Designer

    alirezarezvani/claude-skills

    Design production-ready observability strategies combining metrics, logs, and traces.

    28k GitHub stars~3.5k tokensUpdated 1 mo ago
    DevOps & CloudAuto-check passed
  • Design System

    affaan-m/ECC

    Generate a design system from an existing codebase or audit one for visual consistency: extract tokens (colors, typography, spacing, shadows) into design-tokens.json and CSS custom properties with…

    276k GitHub stars~698 tokensUpdated yesterday
    Frontend & DesignAuto-check passed
  • Design Guide

    paperclipai/paperclip

    Paperclip UI design system guide for building consistent, reusable frontend components.

    100k GitHub starsUsed in 1 repo~3.1k tokens
    Frontend & DesignAuto-check passed
  • Audits a design against Dieter Rams' ten principles of good design, scores each with evidence, and hands off a make-plan prompt for a new, refined or redesigned outcome.

    99k GitHub stars~4.6k tokensUpdated 2 days ago
    Frontend & DesignAuto-check passed
  • Figma Design to Code

    warpdotdev/warp

    Turns a Figma frame or component into production code that matches the design, using the Figma MCP server and the project's own design system.

    65k GitHub starsUsed in 4 repos~2.9k tokens
    Frontend & DesignAuto-check passed
  • Design Consultation

    garrytan/gstack

    Learns about your product, studies the landscape and writes a DESIGN.md with a full design system covering type, color, layout, spacing and motion.

    136k GitHub stars~16k tokensUpdated today
    Frontend & DesignAuto-check: notes

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
  • 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
  • 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

Questions about Designing Replay Vision Scanners

What does Designing Replay Vision Scanners do?

Designs a Replay Vision scanner that produces trustworthy observations: one visible question per scanner, a type chosen from the answer shape, a query that selects only sessions able to answer it, a…. Designing Replay Vision Scanners is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Designs a Replay Vision scanner that produces trustworthy observations: one visible question per scanner, a type chosen from the answer shape, a query that selects only sessions able to answer it, a prompt that demands on-screen proof and allows no or inconclusive, a model picked by the cost of a wrong answer, and a first-batch test pass.

When should I use Designing Replay Vision Scanners?

Designing Replay Vision Scanners fits situations like: : user wants to design; improve a Replay Vision scanner; asks what to scan for; asks why a scanner returns vague observations.

How do I install Designing Replay Vision Scanners in Claude Code?

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

How do I install Designing Replay Vision Scanners in Codex?

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

Can I use Designing Replay Vision Scanners 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 designing-replay-vision-scanners -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/designing-replay-vision-scanners, .gemini/skills/designing-replay-vision-scanners, .github/skills/designing-replay-vision-scanners and .opencode/skills/designing-replay-vision-scanners in your project.

What does Designing Replay Vision Scanners need to run?

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

Does Designing Replay Vision Scanners 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 Designing Replay Vision Scanners 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 Designing Replay Vision Scanners use?

Designing Replay Vision Scanners 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 Designing Replay Vision Scanners use?

About 3.5k tokens (SKILL.md is roughly 14k 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 Designing Replay Vision Scanners?

Skills that share tags, products or a category with Designing Replay Vision Scanners: Observability Designer (alirezarezvani/claude-skills, 28k stars), Design System (affaan-m/ECC, 276k stars), Design Guide (paperclipai/paperclip, 100k stars) and Design Audit Against Rams' Principles (thedotmack/claude-mem, 99k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Designing Replay Vision Scanners?

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.