OtterKit Agent Skills
Skills that teach AI coding agents (Claude Code, Cursor, Copilot — anything that reads the Agent Skills format) to drive OtterKit: tunnels and serverless webhook endpoints with capture, signature verification, and replay.
| Skill | What the agent learns |
|---|---|
otterkit | Core: tunnels, webhook endpoints, capture, inspect, replay, daemons, pricing |
stripe-webhooks | Stripe: signed synthetic events, Stripe-Signature verification, re-signed replay |
github-webhooks | GitHub Apps: persistent capture endpoint, X-Hub-Signature-256 verification, replay |
shopify-webhooks | Shopify: stable --tunnel-url for the CLI, HMAC verification, standby endpoints |
slack-webhooks | Slack: Events API via capture tunnel, signing-secret verification, re-signed replay |
Install (Claude Code)
Copy any skill directory into .claude/skills/ in your project (or ~/.claude/skills/
for all projects):
git clone https://github.com/useotterkit/skill && cp -r skill/stripe-webhooks .claude/skills/
Or add the OtterKit MCP server, which exposes the same capabilities as tools:
claude mcp add otterkit -- npx otterkit mcp
What's different from a plain tunnel
Every skill leans on three things ngrok-class tools don't do:
otterkit send— synthetic provider events signed with real signature headers (stripe:payment_intent.succeeded,github:pull_request.opened, …) against a local handler, free, no provider account interaction.otterkit verify— check captured deliveries against a signing secret, per request, with the failure reason.otterkit replay --resign— re-deliver a captured event to local code, re-signed with a current timestamp so timestamp-tolerant handlers (Stripe, Slack) still accept it.
Skills are generated from the CLI's actual implementation and updated alongside it.