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Official agent skill

Migrating LLM Gateway Callers

by PostHog in PostHog/posthog

Migrates an LLM caller from services/llm-gateway to PostHog/ai-gateway.

OfficialCustom licenceAuto-check passedAI & LLM Engineering

Install Migrating LLM Gateway Callers

skills CLI
$ npx skills add PostHog/posthog --skill migrating-llm-gateway-callers -a claude-code

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

GitHub CLI
$ gh skill install PostHog/posthog migrating-llm-gateway-callers --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/.agents/skills/migrating-llm-gateway-callers .claude/skills/migrating-llm-gateway-callers && 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
migrating-llm-gateway-callers
GitHub stars
40k
Token cost
~1.3k tokens
SKILL.md length
682 words
Files
2 (incl. references)
Skills in repo
254
Repo updated
First seen
Licence
Custom licence

At a glance

Migrates an LLM caller from services/llm-gateway to PostHog/ai-gateway.

  • Works in 8 steps: Use build_openai_client,… → Use the slugless Go base URL. Do not… → Use a supported phs_ or pha_ credential… → …
  • Adding a gateway caller
  • SKILL.md covers Inventory the caller, Check whether migration is…, Implement the migration and Update tests and docs, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Migrating LLM Gateway Callers is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Migrates an LLM caller from services/llm-gateway to PostHog/ai-gateway. Use when adding a gateway caller, converting an existing Python gateway integration, adopting shared Go-capable client builders, changing gateway URLs or headers for a caller, or removing a Python fallback. Inventories the caller's contract, checks the parity record, implements the supported migration, updates tests, and stops with a documented blocker when Go parity is missing.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/migration-examples.md`).

It sits in AI & LLM Engineering, covering Model routing and gateways. It works with PostHog and Python. 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

  • Adding a gateway caller
  • Converting an existing Python gateway integration
  • Adopting shared Go-capable client builders
  • Changing gateway URLs

Example prompts

  • “Use the migrating-llm-gateway-callers skill to migrate an LLM caller from services/llm-gateway to PostHog/ai-gateway”
  • “/migrating-llm-gateway-callers”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Use build_openai_client, build_async_openai_client, or build_async_anthropic_client from posthog/llm/gateway_client.py for Django callers…
  2. Use the slugless Go base URL. Do not carry a Python /{product}/ path into the Go URL.
  3. Use a supported phs_ or pha_ credential with llm_gateway:read. Do not weaken auth or expose a shared secret to an untrusted runtime.
  4. Send event labels in one X-PostHog-Properties JSON object. Use the dedicated distinct ID and trace ID headers where required.
  5. Treat ai_product as telemetry only. Do not use it to replace trusted product auth or billing policy.
  6. Confirm the canonical model and API shape against the Go model catalog.
  7. Preserve the caller's provider and fallback requirements. Use provider pinning only when the caller requires a specific host.
  8. Keep a Python fallback only when rollout needs it, and make the switch explicit in settings or the shared builder.

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

Migrating LLM Gateway Callers loads about 1.3k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 682 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~121
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3k

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 682 words (~1,339 tokens).

“Use services/llm-gateway/PARITY.md as the current decision record. If it is stale or the migration reveals a new gap, run /auditing-llm-gateway-parity before continuing.”

— opening of SKILL.md by PostHog, Custom licence
name
migrating-llm-gateway-callers

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in .agents/skills/migrating-llm-gateway-callers of PostHog/posthog.

  • SKILL.md
  • references/migration-examples.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

Migrating LLM Gateway Callers 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.

Migrating LLM Gateway Callers compared with similar skills
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Migrating LLM Gateway Callers this skillPostHog/posthog40k—~1.3kAutomated safety check: PassCustom licence
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Agent Squad Python Guide2FastLabs/agent-squad7.8k—~4.7kAutomated safety check: PassApache-2.0
Synthetic Data GenerationRed-Hat-AI-Innovation-Team/sdg_hub164—~3.1kAutomated safety check: PassApache-2.0
Openrouter Common Errorsjeremylongshore/tons-of-skills-marketplace2.8k—~2.7kAutomated safety check: PassMIT
Openrouter Debug Bundlejeremylongshore/tons-of-skills-marketplace2.8k—~2.5kAutomated safety check: PassMIT

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Works with

Categories

Questions about Migrating LLM Gateway Callers

What does Migrating LLM Gateway Callers do?

Migrates an LLM caller from services/llm-gateway to PostHog/ai-gateway. Migrating LLM Gateway Callers is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Migrates an LLM caller from services/llm-gateway to PostHog/ai-gateway.

When should I use Migrating LLM Gateway Callers?

Migrating LLM Gateway Callers fits situations like: adding a gateway caller; converting an existing Python gateway integration; adopting shared Go-capable client builders; changing gateway URLs.

How do I install Migrating LLM Gateway Callers in Claude Code?

Run `npx skills add PostHog/posthog --skill migrating-llm-gateway-callers -a claude-code`. Or copy the skill folder (.agents/skills/migrating-llm-gateway-callers in PostHog/posthog) into .claude/skills/migrating-llm-gateway-callers in your project. Claude Code loads it when a task matches its description.

How do I install Migrating LLM Gateway Callers in Codex?

Run `npx skills add PostHog/posthog --skill migrating-llm-gateway-callers -a codex`. Or copy the skill folder (.agents/skills/migrating-llm-gateway-callers in PostHog/posthog) into .agents/skills/migrating-llm-gateway-callers in your project. Codex loads it when a task matches its description.

Can I use Migrating LLM Gateway Callers 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 migrating-llm-gateway-callers -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/migrating-llm-gateway-callers, .gemini/skills/migrating-llm-gateway-callers, .github/skills/migrating-llm-gateway-callers and .opencode/skills/migrating-llm-gateway-callers in your project.

What does Migrating LLM Gateway Callers need to run?

SKILL.md names no scripts, command-line tools or credentials: Migrating LLM Gateway Callers is instructions for the agent only. Our summary lists: Python 3.

Does Migrating LLM Gateway Callers 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 Migrating LLM Gateway Callers 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 Migrating LLM Gateway Callers use?

Migrating LLM Gateway Callers 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 Migrating LLM Gateway Callers use?

About 1.3k tokens (SKILL.md is roughly 5.4k 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 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Migrating LLM Gateway Callers?

Skills that share tags, products or a category with Migrating LLM Gateway Callers: SDK Core (VectorSpaceLab/AREX-Skill, 331 stars), Agent Squad Python Guide (2FastLabs/agent-squad, 7.8k stars), Synthetic Data Generation (Red-Hat-AI-Innovation-Team/sdg_hub, 164 stars) and Openrouter Common Errors (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Migrating LLM Gateway Callers?

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.