Skills
Your team has established ways of doing RCA, DoE review, regression analysis — methods refined through years of experience. Until now, that knowledge lived in people's heads or buried in SOPs. Now you can capture it directly in Invert as a Skill: a reusable set of instructions that tells Assist how to conduct a specific type of analysis, so it works the way your team works.
How it works
Create a Skill in the Library by giving it a name, description, and a body — written in plain text, code, or both. The body is your method: step-by-step procedures, statistical thresholds, decision criteria, preferred chart types, or Python snippets that define how an analysis should be done.
When you're ready to use it, open Assist, type @ to bring up the mention menu, and select your Skill alongside any runs or reports you want to work with. Assist reads the Skill's instructions and follows your approach — same methodology, every time, regardless of who's running the analysis.
What can you do with Skills?
Standardize root cause analysis: Define the steps your team follows for RCA — which metrics to check first, what thresholds flag a deviation, how to structure the final summary — and let anyone on the team run the same investigation
Encode DoE review procedures: Specify how to evaluate experimental results, which statistical tests to apply, and what constitutes a meaningful difference between conditions
Create reporting templates: Describe the sections, plots, and key metrics that should appear in a campaign summary or tech transfer package, then let Assist generate it
Capture domain-specific calculations: Include Python code for custom analyses — growth rate calculations, metabolite ratios, yield corrections — so Assist executes them consistently
Compose multiple Skills: Reference more than one Skill in a single conversation. Combine a "Growth Phase Analysis" skill with a "Metabolite Profile" skill to build a complete picture
Example Skills to get started
Skill name | What it does |
Fed-Batch RCA | Walks through a structured root cause analysis: check feeds, DO, pH, temperature, then correlate deviations with titer impact |
Campaign Summary | Generates a standardized report with VCD/viability overlay, titer bar chart, and key observations per condition |
Scale-Up Comparison | Compares matched parameters between bench and pilot scale, flags any that fall outside defined equivalence bands |
Harvest Timing | Evaluates viability trend and titer plateau to recommend optimal harvest window |
Available now for all Assist-enabled organizations.