A custom LLM skill packages prompt logic, tools and business knowledge into a reusable capability an assistant can invoke reliably, built for Claude, ChatGPT/GPTs or open-source LLM stacks depending on the client's existing tooling. Best suited to repeatable, rule-based tasks like lead qualification or report generation.
What's included?
- Task scoping: identifying which repeatable workflows are worth automating
- Skill design: prompt logic, knowledge base and tool integration
- Testing against edge cases before deployment
- Documentation so the client's team can maintain and extend it
Most teams use AI like a search box
They type a prompt, get something half useful and rewrite it by hand. A custom skill packages the instructions, examples, knowledge and tools an assistant needs to do one job properly every time: write a proposal in your format, check a document against your policy, prepare a weekly report from your data.
Why now
Assistants are part of daily work for a large share of staff. ChatGPT reported 900 million weekly active users in February 2026 (TechCrunch, Feb 2026), and Klarna reported 90% of its employees used generative AI tools daily in its first year of adoption (OpenAI, Klarna case study). The gap is consistency: the same task done differently every time. Skills close that gap.
What we build
- Skills and custom assistants for Claude, ChatGPT or open-source models
- Knowledge packs: your style guides, policies, product facts and examples, kept current
- Tool connections: your CRM, analytics, documents or internal systems where needed
- Evaluation sets: example inputs and expected outputs so quality can be checked
- Guidance: short training for the people who will use them
Good first candidates
- Proposal and quote drafting in your house format
- Brand voice and compliance checks on marketing copy
- Weekly or monthly reporting from connected data
- Sales call summaries and follow-up emails
- Content briefs built from your keyword and product data
Keep a human in the loop for anything that goes to a customer or regulator. Skills make people faster; they do not replace review.
How we measure it
Time per task before and after, quality scores against your checklist, adoption across the team and error rate. For multi-step autonomous workflows, see custom agentic AI.