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Спутники
РН
SpaceX
Роскосмос
NASA
СпутникиРНSpaceXРоскосмосNASAAgentic development enhanced with software analysis and design capabilities
Agent Skills are a new, lightweight way to make an AI coding agent good at a specific tool or task. A Skill is just a folder of instructions and reference material that gives the agent an expert’s judgment about how to use a tool, instead of leaving it to improvise from whatever it picked up in training. Load a Skill and the agent stops guessing at your platform’s API and conventions, and starts using them the way someone who already knows the tool would.
Now that agents are massively used for software development, helping agents become experts in software analysis and design would be a great way to ground their generation process and make it more reliable. But, so far, agents are not good at these tasks and lack the right tools to do so. This is why we have just released BESSER skills, enabling agents to create and use software models as part of their development. BESSER is a free and open source low-code, model-driven engineering (MDE) platform built on a single principle: you describe your system as one or more validated B-UML models, and those models become the source of truth for everything downstream.
Install our skills and your agents will be able to specify and design before generating enhanced with the BESSER features.
Note: these skills complement our recent MCP support for agentic low-code. MCP gives an agent live tools to call BESSER; a Skill gives it the judgment to use them well. The two are complementary.
What the BESSER Skills actually encodeThey follow the open Agent Skills standard, so any compatible agent can pick them up. Their purpose is to give an agent BESSER’s metamodel, generators, and workflows on demand, without loading the whole codebase into context. Our main skills are the following:
Ask a plain agent for “a FastAPI backend for a library” and it starts typing class Book(BaseModel): … straight into a file, improvising the code line by line. Our Skills stop that and impose a simple three-step discipline:
model.validate(), so structural mistakes are caught before a single line of code exists.https://modeling-languages.com/wp-content/uploads/2026/07/BESSER-Demo-BESSERSkills.mp4
One model, many outputs that can’t driftWith the Skills, the B-UML model is the single source of truth, and every file is generated from it. Point different generators at the same validated model and each target comes out consistent with the others by construction:
from besser.generators.sql_alchemy import SQLAlchemyGenerator
from besser.generators.sql import SQLGenerator
from besser.generators.django import DjangoGenerator
# One model, three targets, none of them can drift from the others
SQLAlchemyGenerator(
model=library_model,
output_dir="./orm",
).generate(dbms="postgresql")
SQLGenerator(
model=library_model,
output_dir="./schema",
sql_dialect="postgresql",
).generate()
DjangoGenerator(
model=library_model,
project_name="library",
app_name="catalog",
output_dir="./django",
).generate()Need to add a field to Book? Change it once in the model and regenerate; the ORM, the raw SQL schema, and the Django app all pick it up in the same pass.
Or just document your code with embedded diagramsFor those that prefer not to follow model-driven engineering principles but still would like to better understand what the agents is creating (e.g. for communication, documentation, maintainability…) we have another skill that focuses just on that.
You can ask the agent for a diagram. Without the skill, if you ask the agent to “explain the architecture” or “add a class diagram to the README” and you usually get one of two bad outcomes: a diagram that looks nice but it’s often incorrect (in terms of notation and semantics), or a block of ASCII or pseudo-syntax trapped in a code fence that no viewer ever turns into an image.
Our skill uml-drawing.fixes this by instructing the user to create and render models thanks to the BESSER services.
Try itInstalling the skills is one line each:
npx skills add BESSER-PEARL/BESSER-Skills --all
npx skills add BESSER-PEARL/uml-drawing --allSkills: github.com/BESSER-PEARL/BESSER-Skills
uml-drawing skill: github.com/BESSER-PEARL/uml-drawing-skill
BESSER: github.com/BESSER-PEARL/BESSER
This matters beyond BESSER. As coding agents get better, the bottleneck shifts from writing code to writing the right code, consistently, at scale. Model-driven engineering has spent two decades on that problem, and Agent Skills are a low-friction way to give an agent those answers.
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