What it is.
Shiyam Sunder wrote up how the team builds reusable Claude workflows. You write the system prompt first and spend most of your time there, map the flow on paper before building anything, then wire it into a platform that runs it. The post puts 80% of output quality on that first prompt.
The concrete example is the content brief Skill, at 25 nodes, four AI models, and roughly $0.10 in API charges per run. Brief production went from 45 to 60 minutes down to under 10.
This is TripleDart's own post, and the execution layer it names is our own platform. The Direction and Blueprint idea transfers to any orchestration tool.
What you get.
- A three-layer structure for turning a prompt into a repeatable Skill.
- Six categories of marketing Skill with named examples in each, from content briefs to ICP scoring.
- Cost and time figures: about $0.10 a run, and briefs down from 45 to 60 minutes to under 10.
- A validation step before rollout, run against ten inputs you already know the answers to.
How to set it up.
Pick one task you do weekly and write down every input it needs, because that list becomes the Skill's interface.
Write the Direction prompt first and spend most of your time there, since the post puts 80% of output quality on it.
Map the Blueprint before you build, because mapping catches the flow problems early.
Connect the data sources through MCP so the Skill pulls live data and stops relying on what a model remembers.
Set the output destination, whether that is a sheet, a doc, or a CMS.
Validate against ten inputs you already know the answers to before anyone else uses it.
Use cases
Turn a prompt into a Skill
Take a job you repeat and structure it in the three layers described.
Decide what earns one
Score the candidate against the criteria before you build anything.
Pick a starting category
Choose from the named examples that match the work already on your plate.
Best for
Tasks you repeat weekly
A brief, an audit, a keyword pass. Anything with a repeatable shape and variable inputs.
Teams where quality varies by person
A Skill produces the same output whoever triggers it, so quality stops depending on who ran it.
Costing out AI work
A stated $0.10 per run makes the build-versus-buy conversation short.