Total 51,238 skills
Showing 12 of 51238 skills
Orchestrate the full Platonic Coding workflow from conceptual design to RFC specs, implementation guides, code implementation, and spec-compliance review. Always shows current phase; uses interactive chat in Phase 0, invokes platonic-specs in Phase 1, platonic-impl-guide in Phase 2, coding agents in Phase 3, and platonic-code-review in Phase 4.
Orchestrate app launch preparation - SEO, screenshots, personas, ads, articles, landing pages
Use when ANY question involves Apple framework APIs, Swift compiler errors, or Xcode-bundled documentation. Covers Liquid Glass, Swift 6.2 concurrency, Foundation Models, SwiftData, StoreKit, 32 Swift compiler diagnostics.
Use when physics contacts don't fire, objects tunnel through walls, frame rate drops, touches don't register, memory spikes, coordinate confusion, or scene transition crashes
Use when configuring, running, or fixing PHPStan static analysis in WordPress projects (plugins/themes/sites): phpstan.neon setup, baselines, WordPress-specific typing, and handling third-party plugin classes.
Expert-level Swift development for iOS, macOS with SwiftUI, Combine, and modern Swift 5.9+
Manage repositories, check pipelines, review PRs, and collaborate on Bitbucket
Automate documentation updates when API endpoints, functions, or architecture change. Detects code changes that require doc updates, generates API reference from FastAPI routers, updates architecture diagrams, and syncs between internal and external docs.
Define and manage coding standards in docs/rules/code/. Use when creating TypeScript rules, naming conventions, error handling patterns, architecture standards, or any code-related enforceable rules.
OpenRouter unified AI API - Access 200+ LLMs through single interface with intelligent routing, streaming, cost optimization, and model fallbacks
Documentation-as-Source-of-Truth workflow. Use when working with projects that use docs/ as the canonical source for definitions, rules, and tasks. Routes to specialized sub-skills for specific documentation types.
SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage