Webhook Skills – Agent skills for webhook providers and best practices
I built a collection of webhook skills because AI coding agents are surprisingly bad at webhook integrations. The generated code looks reasonable until you run it, then signature verification fails, raw body handling is wrong, or the middleware order breaks everything. PostHog's research on LLM code generation (https://posthog.com/blog/correct-llm-code-generation) found that agents produce more reliable code when referencing known-working examples rather than reconstructing from training data. That's the approach here. `webhook-skills` is a collection of provider-specific…
What it does
In the maker’s words, at launch
I built a collection of webhook skills because AI coding agents are surprisingly bad at webhook integrations. The generated code looks reasonable until you run it, then signature verification fails, raw body handling is wrong, or the middleware order breaks everything. PostHog's research on LLM code generation (https://posthog.com/blog/correct-llm-code-generation) found that agents produce more reliable code when referencing known-working examples rather than reconstructing from training data. That's the approach here. `webhook-skills` is a collection of provider-specific webhook implementations and best practices guides built on the Agent Skills spec (agentskills.io): - Runnable examples (currently Express, Next.js, FastAPI, with more frameworks coming) - Signature verification with provider-specific gotchas documented - Best-practice patterns: idempotency, error handling, retry logic - 11 providers at launch (Stripe, Shopify, GitHub, OpenAI, Clerk, Paddle, others), expanding based on my needs or requests. Example: # list skills npx skills add hookdeck/webhook-skills --list # install skills npx skills add hookdeck/webhook-skills --skill stripe-webhooks --skill webhook-handler-patterns Works with Claude Code, Cursor, Copilot. The examples are useful even without an agent: minimal, tested handlers you can copy directly. PRs welcome for new providers and frameworks. I also built an AI-powered generator that automatically creates new provider skills. Point it at webhook docs, and it researches the signature scheme, generates verification code for each framework, writes tests, and opens a PR.
Does the same job
all alternatives →
- APA package manager for agent skills with built-in evalsFeb 2026 · tessl.io · ▲7
I'm Guy, the founder behind Snyk — now building Tessl, a package manager for agent skills. We’ve recently witnessed that most teams still treat skills as static artifacts: markdown files, created or copied from repo to repo. This approach offers a strong initial boost, but quickly creates debt: - Skills are duplicated, and updates never roll out. - Poor quality skills go unseen, misguiding agents instead of helping. - Skill knowledge grows stale, and don’t keep up with the systems and practices they describe. Without a way to evaluate skills, teams have no clear way to understand how good a…
- SASkillscript – A declarative, sandboxed language for tool orchestrationJul 2026 · github.com · ▲18
Hi HN — I'm Scott. Skillscript is a small language I built to write what I want my local agent to actually do, in a form I can read and version, instead of hoping the model gets it right each time. The itch started with something small. I wanted my NanoClaw agent to run my morning brief the same way every day. Check overnight tickets, summarize the deploy pipeline, flag anything urgent. Every session, it would re-figure out how to do this from scratch, drift a little, and cost tokens for what's basically a fixed procedure. I could put it in a system prompt or an MD skill file, but those are…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
