Erd Studio Setup
liam-machine/erd-studio
Friendly, step-by-step setup for ERD Studio in an existing dbt project, for people who may be new to dbt or data modelling.
Build reusable revenue models — MRR, ARR, gross revenue, new/expansion/contraction/churn, ARPU, LTV, and per-customer/per-account revenue — on either PostHog data-warehouse views (HogQL) or an…
Install Modeling Revenue Metrics
$ npx skills add PostHog/posthog --skill modeling-revenue-metrics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install PostHog/posthog modeling-revenue-metrics --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/products/data_modeling/skills/modeling-revenue-metrics .claude/skills/modeling-revenue-metrics && rm -rf skills-srcUse ~/.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/
Install the "modeling-revenue-metrics" agent skill from https://github.com/PostHog/posthog/tree/master/products/data_modeling/skills/modeling-revenue-metrics into .claude/skills/modeling-revenue-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modeling-revenue-metrics", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/PostHog/posthog/tree/master/products/data_modeling/skills/modeling-revenue-metricsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add PostHog/posthog --skill modeling-revenue-metrics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install PostHog/posthog modeling-revenue-metrics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .agents/skills && cp -r skills-src/products/data_modeling/skills/modeling-revenue-metrics .agents/skills/modeling-revenue-metrics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "modeling-revenue-metrics" agent skill from https://github.com/PostHog/posthog/tree/master/products/data_modeling/skills/modeling-revenue-metrics into .agents/skills/modeling-revenue-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modeling-revenue-metrics", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add PostHog/posthog --skill modeling-revenue-metrics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install PostHog/posthog modeling-revenue-metrics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/products/data_modeling/skills/modeling-revenue-metrics .cursor/skills/modeling-revenue-metrics && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "modeling-revenue-metrics" agent skill from https://github.com/PostHog/posthog/tree/master/products/data_modeling/skills/modeling-revenue-metrics into .cursor/skills/modeling-revenue-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modeling-revenue-metrics", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/PostHog/posthog.git --path products/data_modeling/skills/modeling-revenue-metrics--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add PostHog/posthog --skill modeling-revenue-metrics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install PostHog/posthog modeling-revenue-metrics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/products/data_modeling/skills/modeling-revenue-metrics .gemini/skills/modeling-revenue-metrics && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "modeling-revenue-metrics" agent skill from https://github.com/PostHog/posthog/tree/master/products/data_modeling/skills/modeling-revenue-metrics into .gemini/skills/modeling-revenue-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modeling-revenue-metrics", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install PostHog/posthog modeling-revenue-metricsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add PostHog/posthog --skill modeling-revenue-metrics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .github/skills && cp -r skills-src/products/data_modeling/skills/modeling-revenue-metrics .github/skills/modeling-revenue-metrics && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "modeling-revenue-metrics" agent skill from https://github.com/PostHog/posthog/tree/master/products/data_modeling/skills/modeling-revenue-metrics into .github/skills/modeling-revenue-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modeling-revenue-metrics", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add PostHog/posthog --skill modeling-revenue-metrics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install PostHog/posthog modeling-revenue-metrics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/products/data_modeling/skills/modeling-revenue-metrics .opencode/skills/modeling-revenue-metrics && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "modeling-revenue-metrics" agent skill from https://github.com/PostHog/posthog/tree/master/products/data_modeling/skills/modeling-revenue-metrics into .opencode/skills/modeling-revenue-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modeling-revenue-metrics", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
modeling-revenue-metrics- GitHub stars
- 40k
- Token cost
- ~2.1k tokens
- SKILL.md length
- 678 words
- Files
- 10 (incl. references)
- Skills in repo
- 254
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Build reusable revenue models — MRR, ARR, gross revenue, new/expansion/contraction/churn, ARPU, LTV, and per-customer/per-account revenue — on either PostHog data-warehouse views (HogQL) or an…
- Works in 3 steps: find where revenue lives → model on the managed views, not raw tables → build the model
- The user wants to model
- SKILL.md covers Step 1 — find where revenue…, Step 2 — model on the managed…, Rules before you model… and Step 3 — build the model, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Modeling Revenue Metrics is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Build reusable revenue models — MRR, ARR, gross revenue, new/expansion/contraction/churn, ARPU, LTV, and per-customer/per-account revenue — on either PostHog data-warehouse views (HogQL) or an external dbt project. Use when the user wants to model, define, or compute recurring revenue, monthly/annual recurring revenue, churn or retention of revenue, lifetime value, average revenue per user, or revenue by customer, cohort, product, or currency. On PostHog, build on the managed revenueview views (revenueitem, mrr…
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `references/dbt/_sources_stripe.yml`, `references/dbt/schema.yml` and `references/revenue-metric-definitions.md`).
It sits in Data & Analytics, covering Data pipelines and ETL, Data warehousing and Financial modeling. It works with PostHog, dbt and Stripe. 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
- The user wants to model
- Compute recurring revenue
- Monthly/annual recurring revenue
- Retention of revenue
Example prompts
- “/modeling-revenue-metrics”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- find where revenue lives
- model on the managed views, not raw tables
- build the model
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 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
Modeling Revenue Metrics loads about 2.1k tokens when it runs, and up to ~6k if it reads all its reference files. Until then it costs about 255 tokens; SKILL.md has 678 words of instructions outside code blocks.
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 678 words (~2,111 tokens).
“Turn payment/subscription data into durable revenue models. Read modeling-warehouse-foundations first for the view-vs-dbt decision, the view-* workflow, and convertCurrency(); this skill is the revenue-specific layer on top. Metric definitions live in references/revenue-metric-definitions.md; copy-paste recipes in references/posthog/ and references/dbt/.”
- name
- modeling-revenue-metrics
Files
SKILL.md and 9 other files (references) in products/data_modeling/skills/modeling-revenue-metrics of PostHog/posthog.
- SKILL.md
- references/dbt/_sources_stripe.yml
- references/dbt/dim_customer.sql
- references/dbt/fct_mrr.sql
- references/dbt/fct_revenue_item.sql
- references/dbt/schema.yml
- references/posthog/gross_revenue_by_month.sql
- references/posthog/mrr_and_arr.sql
- references/posthog/revenue_by_customer.sql
- references/revenue-metric-definitions.md
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
Modeling Revenue Metrics 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Modeling Revenue Metrics this skillPostHog/posthog | 40k | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Erd Studio Setupliam-machine/erd-studio | 165 | — | ~8.6k | Automated safety check: Pass | Custom licence | |
| dbt Incremental ModelsAltimateAI/data-engineering-skills | 128 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Analytics Engineerborghei/Claude-Skills | 891 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Airflow State Storeastronomer/agents | 451 | — | ~6.1k | Automated safety check: Pass | Apache-2.0 | |
| Migrating Dbt Project Across PlatformsKilo-Org/kilo-marketplace | 190 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Modeling Revenue Metrics
What does Modeling Revenue Metrics do?
Build reusable revenue models — MRR, ARR, gross revenue, new/expansion/contraction/churn, ARPU, LTV, and per-customer/per-account revenue — on either PostHog data-warehouse views (HogQL) or an…. Modeling Revenue Metrics is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Build reusable revenue models — MRR, ARR, gross revenue, new/expansion/contraction/churn, ARPU, LTV, and per-customer/per-account revenue — on either PostHog data-warehouse views (HogQL) or an external dbt project.
When should I use Modeling Revenue Metrics?
Modeling Revenue Metrics fits situations like: the user wants to model; compute recurring revenue; monthly/annual recurring revenue; retention of revenue.
How do I install Modeling Revenue Metrics in Claude Code?
Run `npx skills add PostHog/posthog --skill modeling-revenue-metrics -a claude-code`. Or copy the skill folder (products/data_modeling/skills/modeling-revenue-metrics in PostHog/posthog) into .claude/skills/modeling-revenue-metrics in your project. Claude Code loads it when a task matches its description.
How do I install Modeling Revenue Metrics in Codex?
Run `npx skills add PostHog/posthog --skill modeling-revenue-metrics -a codex`. Or copy the skill folder (products/data_modeling/skills/modeling-revenue-metrics in PostHog/posthog) into .agents/skills/modeling-revenue-metrics in your project. Codex loads it when a task matches its description.
Can I use Modeling Revenue Metrics 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 modeling-revenue-metrics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/modeling-revenue-metrics, .gemini/skills/modeling-revenue-metrics, .github/skills/modeling-revenue-metrics and .opencode/skills/modeling-revenue-metrics in your project.
What does Modeling Revenue Metrics need to run?
SKILL.md names no scripts, command-line tools or credentials: Modeling Revenue Metrics is instructions for the agent only.
Does Modeling Revenue Metrics 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 Modeling Revenue Metrics 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 Modeling Revenue Metrics use?
Modeling Revenue Metrics 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 Modeling Revenue Metrics use?
About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.9k tokens, read only when the agent opens those files.
What are the alternatives to Modeling Revenue Metrics?
Skills that share tags, products or a category with Modeling Revenue Metrics: Erd Studio Setup (liam-machine/erd-studio, 165 stars), dbt Incremental Models (AltimateAI/data-engineering-skills, 128 stars), Analytics Engineer (borghei/Claude-Skills, 891 stars) and Airflow State Store (astronomer/agents, 451 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Modeling Revenue Metrics?
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.