Outcome pod
Custom Skills Library
A 5–8 day build of a library of reusable Claude skills tailored to your team's workflows — research, drafting, data extraction, or whatever your team does repeatedly.
- Duration
- 1–2 weeks
- Pod
- 1 senior expert + orchestrated agents
- Price guide
- $10,000–$14,000
- Billing
- upfront 50 50
What you get
- 5–10 production-ready skills for your team's most valuable repetitive tasks
- Skill library deployed in your existing tools (Slack, Notion, or custom interface)
- Quality benchmarks for each skill so you know when they degrade
- Documentation and contribution guide so your team can add skills
- Handover workshop so every team member can use and extend the library
How it runs
- 01Day 1: workflow audit and skill prioritisation with your team
- 02Day 2-3: skill design and first 3 skills built and tested
- 03Day 4-6: remaining skills, tool integrations, and quality benchmarks
- 04Day 7-8: deployment, documentation, and team handover workshop
Outcomes
- Library of 5–10 skills that your team uses daily
- Consistent, high-quality AI outputs across the team (not person-dependent)
- Team that can evaluate skill quality and add new skills independently
How it works
## What is it?
Your team already uses Claude for ad-hoc tasks. The problem is that each person starts from scratch, uses different prompts, and gets inconsistent results. Good prompts live in individual notes or Slack threads. Quality varies across team members. There is no institutional knowledge.
Custom Skills Library changes that. We identify the 5–10 repetitive tasks where Claude delivers the most value for your team, build reusable skills (structured prompts with tool integrations) for each one, and deploy them where your team already works — Slack, internal tools, or a custom interface.
The library grows over time. The skills we build are the foundation; your team adds to them.
Related accelerators
Often paired with this engagement.
Outcome pod
MCP Integration
A 5-day build that connects your internal data and tooling to Claude via the Model Context Protocol, giving your team AI that knows your stack.
Outcome pod
AI Feature Build
A 5–10 day build of a production-ready AI feature inside your existing product — from spec to shipped, with tests and observability included.
Begin
Start the engagement. Or ask a question first.
Selecting Start creates a pre-scoped project with the plan and deliverables already populated. Your expert reviews and personalises it with you in the first session. No commitment until you sign.