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Releases: BESSER-PEARL/BESSER-Skills

v0.3.0

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@github-actions github-actions released this 26 Jun 09:50

Full coverage of every B-UML DSL and generator, deeper class-diagram /
state-machine / agent references, a complete editorial-review pass, a
marketing/positioning rework of the README, and field fixes surfaced by real
agent runs.

Added

  • Coverage of all remaining B-UML DSLs in besser-user — seven new
    source-verified references:
    • references/object-models.md — object/instance models (objects,
      attribute values, links), incl. the fluent builder and OCL test data.
    • references/feature-models.md — software product lines (features,
      groups, configurations).
    • references/ocl.md — writing and attaching OCL Constraints; bocl
      evaluation; which generators consume OCL.
    • references/deployment.md — deployment models for the
      TerraformGenerator.
    • references/neural-networks.md — NN models for the PyTorch/TF
      generators.
    • references/quantum.md — quantum circuits for the QiskitGenerator.
    • references/project.md — bundling models + metadata.
  • Two previously undocumented generators in besser-generators:
    • SupabaseGenerator (Postgres DDL + RLS) in references/persistence.md.
    • JSONObjectGenerator (JSON data from an ObjectModel) in
      references/python-and-data.md.
  • Much deeper class-diagram, state-machine, and agent references
    (community contribution): metamodel.md renamed to class-diagram.md and
    expanded (AssociationClass, GeneralizationSet,
    is_abstract/is_optional/is_read_only, navigability, composition
    direction, void methods, end-name uniqueness); state machines gain final
    states, conditions, fallback bodies, config properties, and the
    STATE_MACHINE method-implementation pattern; agents gain LLM integration,
    entities/slot-filling, intent-classifier config, RAG, DBReply,
    ReasoningState, tools/skills/workspaces, and rich platform replies.
  • The skills now cover all 19 BESSER generators and every B-UML
    metamodel/DSL; reference-layout tables, trigger descriptions, and the
    README were updated to surface them.
  • README "What your agent can build" capability block — surfaces the full
    BESSER surface an agent can drive: every B-UML model type, all 19 generators,
    the deterministic-codegen-then-build-on-top workflow, troubleshooting, and
    extending BESSER itself. Cross-links the standalone
    uml-drawing skill and adds an
    Agent Skills directory link.
  • One-call B-UML → SVG rendering in besser-user and the README — POST a
    model to BESSER v7.9.0's headless /besser_api/get-svg endpoint and embed the
    result, no browser required.
  • "Generate the baseline, then build on top" guidance in besser-generators:
    regenerate the deterministic baseline freely (cheap and identical each run) and
    put customizations in separate files so a re-run never clobbers them.

Changed

  • besser-dev restructured from a 487-line monolith into a lean overview
    • routing table plus five references/ (adding-a-generator,
      adding-a-metamodel, testing, docs-and-build, contributing-workflow),
      matching the progressive-disclosure pattern of the other skills.
  • De-duplicated drift-prone content across skills: the web-editor
    registry snippet is now single-sourced in besser-dev; the
    composite-generator tree lives only in debugging.md; the
    besser-troubleshooting generator-failure table is scoped to error-message
    lookups with a clear hand-off to besser-generators.
  • besser-generators editorial fixes: merged the redundant
    reference-layout/generator-picker tables; replaced the partial
    output-directory table with an exhaustive-by-rule "Output locations"
    call-out; normalized the Supabase/JSON-object entries to the house table
    style; clarified that BAL/CODE method bodies are inserted verbatim.
  • Consistency pass: standardized reference "Gotchas" headings, added
    tables of contents to the longer references, and moved per-file version
    stamps to a single note; relaxed the attribute-naming guidance to match
    what BESSER actually enforces (no spaces/hyphens; snake_case or camelCase).
  • README refreshed for v7.9.0: BESSER badge bumped to v7.9.0, the drawing
    section now leads with the one-call headless SVG endpoint, and the codegen
    bullet is reframed around deterministic baselines you extend on top — spend
    tokens only on what is genuinely custom. The intro now links directly to the
    uml-drawing repo instead of an in-page anchor.

Fixed

  • Corrected a broken copy-paste example (an always-false chained-comparison
    assertion) in object-models.md, and the chat_history type in
    agents.md. Reconciled CONTRIBUTING.md's description-voice rule with the
    trigger style all four skills actually use.
  • Stopped recommending default_value on enum-typed attributes across
    besser-user, besser-troubleshooting, and besser-generators'
    debugging.md. It passes validate(), but the Pydantic/SQLAlchemy generators
    serialize the literal's raw repr() → invalid Python (e.g. SyntaxError: leading zeros…), and the headless SVG endpoint rejects it. Set the initial
    value in the app/auth layer or as a DB column default instead. (Primitive
    defaults like True or 0 round-trip fine.)
  • Class diagrams are delivered as B-UML, never Mermaid (besser-user). The
    authoritative artifact is the validate()-checked B-UML model; a rendered
    SVG/PNG is the picture and a quick ASCII sketch is fine as a preview, but
    Mermaid (un-validated, can't be generated from) is no longer produced.

Notes

  • All new content was written against BESSER v7.8.3 source with verified API
    citations; several upstream documentation bugs were deliberately not
    reproduced (e.g. the wrong besser.BUML.notations.od.* import path and the
    ObjectModel(instances=…) kwarg). Known-broken paths are flagged in-place
    (e.g. the objectPlantUML parser is non-functional in v7.8.3).
  • The headless B-UML → SVG flow and the v7.9.0 badge track BESSER v7.9.0
    (PR #554, ELK auto-layout); all other API citations remain verified against
    v7.8.3 source.

v0.2.1

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@github-actions github-actions released this 18 Jun 11:50
48167de

Fixed

  • Corrected 24 API/accuracy errors across the skills, found by a
    systematic audit against BESSER v7.8.3 source:
    • besser-generators: the custom-endpoint example now uses
      Method(code=..., implementation_type=MethodImplementationType.BAL)
      (the previous MethodImplementation class/import did not exist); the
      SQLAlchemy customization example uses sqlalchemy.orm.Session + the
      generated engine (no Session is generated); BAFGenerator output is
      config.yaml, not config.ini.
    • TerraformGenerator(deployment_model=...); the PyTorch/TF generators
      import from besser.generators.nn.{pytorch,tf}.* with generation_type
      as a constructor argument; FlutterGenerator requires main_page and
      is registered in the web editor; many-to-many join-table name is the
      association name only; jinja2.TemplateNotFound; BackendGenerator
      filters invalid HTTP methods silently.
    • Python requirement corrected to 3.11+ (setup.cfg python_requires);
      bocl==1.0.1; Docker base python:3.11-slim; state-machine transitions
      live on State, not StateMachine.
    • besser-dev: SUPPORTED_GENERATORS (not GENERATORS); documented that
      BESSER now ships CI (pytest + ruff).

Added

  • Two evals (documentation delivery, SQLGenerator dialect) — the suite is
    now 10 (evals/evals.json), making those behaviors permanent regression
    checks.
  • README skills table and trigger table now surface "drawing UML for
    documentation".
  • CI: .github/workflows/release.yml automatically creates a GitHub Release
    from the matching CHANGELOG section whenever a v* tag is pushed.

v0.2.0

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@ArmenSl ArmenSl released this 18 Jun 08:37
7c4d30f

BESSER Skills v0.2.0.

Highlights

  • Modeling for documentation, not only codebesser-user now treats a B-UML model as having two first-class outcomes: generating code and documenting a system as a correct, embeddable UML class diagram. Triggers broadened so the skill activates on "draw/document a correct class diagram" requests even when BESSER isn't named.
  • Model delivery — deliver a model as a runnable .py file by default, or embed the same B-UML in Markdown for docs; plus how to import a model into the web editor (Import → B-UML). New references/delivering-models.md.
  • README "Drawing correct UML diagrams" section.

Fixed

  • SQLGenerator API in references/persistence.mdsql_dialect is a constructor argument and generate() takes none (only SQLAlchemyGenerator takes dbms in generate()). The reference previously showed a call that raises TypeError. This shipped in v0.1.0 and was caught by the v0.2.0 benchmark re-run.

Benchmarks

  • benchmarks/iteration-2/: v0.2.0 correctness re-run, graded with-skill vs no-skill baseline against BESSER v7.8.3 — 38/38 (100%) for both with the fixed skill. Performance figures carried over from v0.1.0 (skill-text-only changes).

Full details in CHANGELOG.md.

v0.1.0 — Initial release

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@ArmenSl ArmenSl released this 12 May 09:41

Initial public release of BESSER Skills — Agent Skills for BESSER, the low-code model-driven engineering platform.

Included skills

  • besser-user — end-user guide: domain modeling, code generation, web editor
  • besser-generators — per-generator operations, safe customization, template overrides
  • besser-troubleshooting — diagnosis guide for install, import, runtime, and deployment issues
  • besser-dev — contributor guide: adding generators, tests, docs, PR workflow

besser-user and besser-generators use the progressive-disclosure pattern: a slim SKILL.md plus references/*.md loaded on demand. Scaffolding scripts are bundled for both besser-user (scaffold_model.py) and besser-dev (scaffold_generator.py).

Benchmark — with skills vs no-skill baseline (8 evals)

Metric With skills Without skills (baseline) Skill advantage
Pass rate 100% 100% tie
Mean response time 36.5s 138.4s 74% faster
Mean token usage 25,181 48,007 48% fewer

Token usage is also dramatically more consistent with the skill (stddev ~1.4k vs ~19.8k baseline). Full data and per-eval breakdown in benchmarks/iteration-1/benchmark.md.

Install

Works with Claude Code, Cursor, Cline, Windsurf, GitHub Copilot, and any agent that follows the Agent Skills specification.

```bash
npx skills add BESSER-PEARL/BESSER-Skills --all
```

See README.md for full installation and usage instructions.