Custom Skills
Your team's know-how, packaged as skills Claude loads every session.
- A portable SKILL.md with scripts and resources
- Progressive disclosure that keeps context lean
- Versioned in your repo or shipped as a plugin
Custom Claude skills, subagents & MCP integrations — from the team behind the open-source wondelai/skills. Shipped to production, not demoed.
1,451 stars on GitHubFor teams who want senior-level Claude work shipped — not another impressive demo.
---
name: acme-support-triage
description: Triage inbound support tickets the
way our senior team does — classify, draft, escalate.
---
## When to use
Every new ticket that lands in the queue.
## Steps
1. Classify: billing · bug · feature · churn-risk
2. Pull account history via the Zendesk MCP.
3. Draft a reply in our voice, and cite the doc.
4. Escalate churn-risk to #cs-leads. The proof-of-concept dazzles in the meeting, then stalls before it ever reaches production. Impressive is not the same as shipped.
Every engineer prompts from scratch, pasting the same 200 words of context each time. Nothing compounds, nothing is reusable.
Without evals, no one can say whether the agent is right — so it stays a toy, never wired into the work that actually matters.
Most AI projects die in the gap between impressive and shipped.
Skills, agents and the plumbing that connects them — built against evals, shipped into your stack.
Your team's know-how, packaged as skills Claude loads every session.
Reviewers, debuggers, data-scientists — agents scoped to do one job well.
Secure connectors into your systems, plus a library that compounds.
MCP is the hands, Skills are the know-how, subagents are the orchestration — a serious build usually needs all three.
Founded by Michał Jaskólski — built & sold two companies, shipped consumer products to 4M+ users a month. This studio ships the open skills you can already read, star and run.
We map the time-consuming, repeatable workflows — the tasks where your team pastes the same context every single time.
Before a line of code, we run Claude without the skill, document where it fails, and turn those failures into evals. Evals become the source of truth.
We pick the right primitive — Skill, subagent, MCP, hook or Agent-SDK app — and build against the evals, not vibes.
Version-controlled, integrated with your tools, and deployed where your team already works — not left behind in a notebook.
We watch real usage, expand the evals, and keep everything current as the models and your needs move.
Evals are the deliverable, not an afterthought.
A fixed-scope paid POC that de-risks the jump from pilot to production.
A production build — skills, agents and the MCP plumbing that connects them.
An evolving internal library of skills and agents that compounds every month.
Shipped to production, or you don't pay the final milestone.
No. The work is evals and context engineering — defining what “good” means, then designing skills, tool scoping and model routing to hit it repeatably. Prompting is the easy 10%.
You can, or we do. The Library retainer keeps your evals green, expands coverage, and handles model upgrades so nothing quietly drifts.
We treat a skill like installing software: least-privilege subagents, MCP servers scoped to exactly what they need, and secrets kept off surfaces that never require them.
Skills are built on the open agentskills.io standard, so the know-how stays portable to other compatible agents. You own the artifacts either way.
A studio, with a founder-operator who has actually shipped — not a faceless agency, and not a $50/hr freelancer.
Michał has built and sold two companies — Nokaut.pl (~$22M IPO) and Morizon.pl (~$20M M&A) — and shipped consumer products to 4M+ users a month as CPO of Grupa Morizon, now part of Ringier Axel Springer. Today he builds Wondel.ai and Czat.ai, and the open-source skills this studio is built on.
A quick 15-minute call: bring a workflow, leave with a clear plan and a fixed-scope first sprint.
Prefer email? [email protected] · or start with the free skills.