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Found 225 Skills
Enforces Flutter/Dart project scaffolding where the layout makes defects greppable — a single-package app by default (feature-first under lib/features/, shared foundation split by role in core/ data/ services/ routing/ theme/ l10n/, a thin main.dart that calls bootstrap(), no lib/src in the app), extracting a generically-named pure-Dart package only when a body of logic earns it (public barrel over private lib/src/ for PACKAGES only, meta-only deps as the compile firewall, resolution:workspace member, downward-only dependency DAG), with pubspec treated as the audit artifact and no utils/helpers/common/misc/grab-bag-shared junk-drawer folders. Use when creating any .dart file or directory, deciding where a repository/Notifier/MethodChannel/value-type/token belongs, authoring or fixing a pubspec.yaml, adding a workspace member, writing an import directive, mirroring a test under test/, or reviewing a diff for organisation.
Discover and navigate the Anypoint Platform API developer portal to find APIs, agent skills, and schemas. Use when bootstrapping knowledge of the Anypoint Platform, onboarding to the API ecosystem, finding available APIs, understanding the portal structure, resolving URNs, looking up JTBD skills, understanding x-origin dynamic parameters, or planning multi-API workflows.
Detect the env manager and bootstrap the runtime, agent-tools, and composed development environments. Detect with `python -m skore_skills env detect`, persist the manager and `env.managed`, then `env init --manager`, `env sync --execute`, install Skore for a recorded hub or mlflow destination (plain Skore when unset or local), and `env verify --execute`. Does not add other stage ML libraries. TRIGGER when the user asks for the env manager, pixi, uv, or a Python environment, or when none is recorded yet. SKIP later packages (add-python-package). SKIP scaffolding src/ (setup-workspace). HOW TO USE: detect, ask managed vs user-managed, ask the manager when needed, then env init, env sync, add Skore, and env verify. When setup-ml-project dispatched this turn, skip each ask whose answer is already recorded. One recorded answer does not skip the other ask.
Before starting a Ralph RLM loop, interview the user to sharpen the goal, stress-test the design, and write an authored PLAN.md (goal, definition of done, milestones, open questions, invariants) that the loop can follow. Use when a user wants to plan, scope, or stress-test work before delegating it to the supervisor / start_loop, or whenever PLAN.md is still the placeholder bootstrap.
Build modern Shiny dashboards and applications using bslib (Bootstrap 5). Use when creating new Shiny apps, modernizing legacy apps (fluidPage, fluidRow/column, tabsetPanel, wellPanel, shinythemes), or working with bslib page layouts, grid systems, cards, value boxes, navigation, sidebars, filling layouts, theming, accordions, tooltips, popovers, toasts, or bslib inputs. Assumes familiarity with basic Shiny.
Develop FRONTEND React components, pages, and UI logic for Link Loom web applications. Handles view rendering, user interactions, and client-side state using `link-loom-react-sdk`.
Guidelines for semantic HTML markup, document structure, forms, accessibility attributes, and modern HTML best practices
Create the brain from scratch — the gateway skill. If AI First OS is not present it installs the complete system first, then interviews the operator with five questions and writes the minimum node structure — identity, voice, root resolver, the tree of paths a scan walks, and one folder per organization. Manually triggered, once per brain, before any other tool.
Эксперт анализа распределений. Используй для statistical distributions, data analysis и hypothesis testing.