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Duration 7 hours
Course Outline
- Day 1: From a recurring workflow to a skill
- Levels of working with Claude
- Chat, instructions, memory, project, skill, and agent
- What belongs on which level so that nothing contradicts
- Examples of finished skills from Anthropic, for example for Word, Excel, and PowerPoint
- Exercise: Review the own standing instructions and mark the parts that belong in a skill.
- Finding the right workflow
- Criteria are frequency, fixed steps, and a consistent format
- Examples from administration, purchasing, HR, and project work
- Describing input material and desired result
- Exercise: Select two candidates for an own skill and describe them briefly.
- Structure of a skill
- Description of when the skill applies
- Workflow in steps with checkpoints
- Good and bad examples, templates, and reference files
- Having skills drafted together with Claude
- Exercise: Write the first skill for one of the candidates.
- Testing and improving
- Three to five test cases with expected results
- Typical errors, such as a description that is too broad or missing limits
- Comparing versions
- Exercise: Test the skill on three real cases and save an improved version.
- Skills in the team
- Sharing in Team and Enterprise, approvals, and responsibilities
- Naming rules, versions, and maintenance
- Connecting skills with connectors and Cowork
- Exercise: Share a skill in the team and have another person run it.
- Outcome: Each participant has a tested skill for a real, recurring task that is shared in the team, and a list of further candidates.
- Levels of working with Claude
Requirements
- Claude account (Pro, Team, or Enterprise) with skills enabled, familiarity with Claude projects, and two to three recurring tasks with illustrative examples.
- No programming experience required.
Target Audience
- Specialist users and key stakeholders seeking to manage recurring tasks for government consistently and with uniform quality using Claude.
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt