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Copying Endpoints Across Projects

Organization
PostHog
copying-endpoints-across-projects

Copy a PostHog endpoint (a saved HogQL/insight query exposed as an API route) to another project in the same organization, or duplicate it under a new name in the same project. Use when the user wants to duplicate an endpoint, promote an endpoint from staging to production, replicate an endpoint's query/variables/freshness config in another workspace, or clone an endpoint to iterate on it. Unlike feature flags and experiments, endpoints have NO native cross-project copy tool — this skill covers the read-then-recreate flow (endpoint-get then endpoint-create), the active-project switching it requires, name-collision checks, and the safe defaults (land unmaterialised in the target, verify with endpoint-run). Does not cover editing endpoint versions (see managing-endpoint-versions) or authoring a brand-new endpoint from scratch (see creating-an-endpoint).

Overview

PublisherPostHog
Repositoryskills
Skill namecopying-endpoints-across-projects
Stars
77
Forks
8
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by PostHog on GitHub. Read the source before you install it.

Installation

Install the Copying Endpoints Across Projects AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/PostHog/skills/tree/main/skills/omnibus/copying-endpoints-across-projects
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/PostHog/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/omnibus/copying-endpoints-across-projects .claude/skills/copying-endpoints-across-projects
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Copying Endpoints Across Projects in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Copying Endpoints Across Projects on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Copying Endpoints Across Projects is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Copying endpoints across projects

This skill duplicates a PostHog endpoint — a saved HogQL or insight query exposed as a callable API route — either into another project in the same organization, or under a new name in the same project.

The one thing to know first

There is no server-side endpoint copy operation. Feature flags have feature-flags-copy-flags-create and experiments have experiment-copy-to-project; endpoints have neither. Copying an endpoint means:

  1. Read the full source config with endpoint-get.
  2. Recreate it with endpoint-create (in the target project, or under a new name in the same project).

Both endpoint-get and endpoint-create operate only on the active MCP project — neither takes a project id. So a cross-project copy requires the active project to be switched between the read (source) and the write (target). Read the source first, capture the config, then switch to the target and create. If you cannot switch projects in this session, tell the user rather than creating the copy in the wrong project.

When to use this skill

  • "Copy this endpoint to another project", "duplicate this endpoint", "clone the endpoint"
  • "Promote the endpoint from staging to production" (projects-as-environments)
  • "Make a copy so I can iterate without touching the live one" (same-project duplicate under a new name)
  • Replicating an endpoint's query, variables, and freshness config in a different workspace

What this skill does not cover

  • Cross-organization copy. Endpoints (and their queries) can only be recreated in projects you have editor access to; there is no org-to-org path.
  • Editing versions of an existing endpoint — see managing-endpoint-versions.
  • Designing a new endpoint from scratch — see creating-an-endpoint (this skill assumes the source endpoint already exists and is configured correctly).
  • Bulk-copying every endpoint in a project. Copy one at a time; loop endpoints-get-all → per-endpoint copy if the user really wants all of them, and tell them you're doing so.

Workflow

1. Resolve the source endpoint

You need the endpoint's name and the source project.

  • If the user gave a name, use it. If they gave a fuzzy description, call endpoints-get-all in the source project and match on name/description.
  • If the user didn't say which project the endpoint lives in, ask — don't assume the active MCP project is the source. Copying out of the wrong source is the most common foot-gun.
  • Confirm the active project is the source (call project-get with no id to see the active project) before reading.

2. Read the full source config

Call endpoint-get with the source name. Capture everything you'll need to recreate it:

  • name
  • query (the whole HogQL/insight query definition — including any declared variables / code_names)
  • description
  • data_freshness_seconds
  • is_materialized (source state — see step 5 for why you usually don't copy this as-is)
  • tags

Present a short summary to the user before copying: what the query returns, its variables, its freshness setting, and whether the source is materialised.

3. Resolve the target and check for a name collision

Cross-project: confirm the target project belongs to the same org and the user has editor access there. The copy will be created in whatever project is active at endpoint-create time, so plan to switch the active project to the target between step 2 and step 6.

Same-project duplicate: the new endpoint needs a different name — names are unique within a project and the URL path (/api/projects/{team_id}/endpoints/{name}/run) depends on it. Agree a new name with the user.

Either way, run endpoints-get-all in the target project and check whether the intended name already exists. If it does, stop and ask: creating over an existing name is not a safe silent action. Get the name right up front — it's baked into the caller URL and not trivially renameable later.

4. Decide the name in the target

  • Cross-project, same purpose: keep the same name so caller code ports unchanged.
  • Same-project or "copy to iterate": pick a clearly-derived new name (e.g. weekly_active_users_v2, weekly_active_users_staging). Snake_case, URL-safe, starts with a letter, max 128 chars.

5. Choose materialisation for the copy (default: OFF)

Default to is_materialized: false on the copy, even when the source is materialised. Rationale mirrors the safe default in copying-flags-across-projects (land disabled): materialisation costs recompute/storage on a cadence, and a freshly-copied endpoint has no proven traffic in the target yet. Ship it unmaterialised, confirm it's actually called, then enable materialisation later once usage justifies the cost.

Override to is_materialized: true only if the user explicitly wants the copy materialised from day one (e.g. a like-for-like production promotion of a high-traffic endpoint). Note the caveats from creating-an-endpoint: queries with cohort breakdowns or compare mode, and insight kinds other than Trends/Lifecycle/Retention (e.g. Funnels), are not materialisable — endpoint-create will simply create them unmaterialised regardless.

Carry data_freshness_seconds over unchanged unless the user wants different freshness in the target (remember it doubles as the materialisation refresh cadence).

6. Create the copy

With the target project active, call endpoint-create with:

  • name — from step 4
  • query — the source query captured in step 2, verbatim (this carries the variables/code_names)
  • description — from source (optionally note it's a copy)
  • data_freshness_seconds — from source unless the user changed it
  • is_materialized — from step 5 (default false)
  • tags — from source if the user wants them; drop tags that are meaningless in the target project

7. Verify

Call endpoint-run on the new endpoint with a representative variables payload and confirm the response shape matches the source. For a cross-project promotion, sanity-check that the underlying events/properties the query references actually exist in the target project — a query that's valid in staging can return empty or error in a project with different taxonomy. If the copy is HogQL and callers rely on offset pagination, note that offset on endpoint-run is only supported for HogQL endpoints (not insight endpoints).

8. Report

Tell the user: the new endpoint's name and project, its materialisation state, its freshness setting, and the result of the verification run. If you switched the active project to do the copy, say which project is active now so they aren't surprised on their next call.

Important notes

  • The query is a copy, not a link. Like creating an endpoint from an insight, the target endpoint owns its own copy of the query. Later edits to the source endpoint do not propagate to the copy.
  • Variables come along inside query. HogQL code_name variable declarations and insight breakdown variables live inside the query definition, so copying query verbatim preserves them. Double-check the copy's variables in the verification run.
  • No undo. endpoint-create makes a new endpoint (or fails if the name is taken). Always confirm the target name and project with the user before creating, especially when the target is production.
  • Access. The user needs editor access on the target project's team; without it endpoint-create will be rejected.

Available tools

  • endpoint-get — read the full source endpoint config (query, variables, freshness, materialisation, tags). Supports ?version=N.
  • endpoint-create — create the copy in the active project. Fields: name, query, description, data_freshness_seconds, is_materialized, tags.
  • endpoints-get-all — list endpoints in the active project; use to resolve a fuzzy source name and to check for a name collision in the target.
  • endpoint-run — execute the new endpoint to verify the copy's response shape.
  • project-get — call with no id to confirm which project is currently active before reading the source or creating the copy.

Frequently asked questions

What does the Copying Endpoints Across Projects AI skill do?

Copy a PostHog endpoint (a saved HogQL/insight query exposed as an API route) to another project in the same organization, or duplicate it under a new name in the same project. Use when the user wants to duplicate an endpoint, promote an endpoint from staging to production, replicate an endpoint's query/variables/freshness config in another workspace, or clone an endpoint to iterate on it. Unlike feature flags and experiments, endpoints have NO native cross-project copy tool — this skill covers the read-then-recreate flow (endpoint-get then endpoint-create), the active-project switching it...

Why use Copying Endpoints Across Projects on TypingMind?

Because you install it once and use it with any model. Copying Endpoints Across Projects is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Copying Endpoints Across Projects in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/PostHog/skills/tree/main/skills/omnibus/copying-endpoints-across-projects. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Copying Endpoints Across Projects?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Copying Endpoints Across Projects?

As many as you like. As long as a model supports skills, you can use Copying Endpoints Across Projects with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Copying Endpoints Across Projects AI skill free?

Yes. It is published on GitHub by PostHog under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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