checkpoint-management
Git-backed state management for safe rollback. Create and restore checkpoints with tagged commits and metadata tracking.
dp-pattern-library
Maintain and match against a library of classic dynamic programming patterns. Provides pattern matching, template code generation, variant detection, and problem-to-pattern mapping for DP problems.
dp-optimizer
Apply advanced DP optimizations automatically
data-structure-selector
Select optimal data structure based on operation requirements
cses-tracker
Track progress through CSES Problem Set with structured learning
complexity-analyzer
Automated Big-O complexity analysis of code and algorithms. Performs static analysis of loop structures, recursive call trees, space complexity estimation, and amortized analysis with detailed derivation documents.
combinatorics-calculator
Calculate combinatorial values with modular arithmetic
codeforces-api-client
Interface with Codeforces API for contest data, problem sets, and submissions
code-template-manager
Manage and generate competitive programming templates
code-profiler
Profile code performance and identify bottlenecks
advanced-ds-library
Provide implementations of advanced data structures
zep-memory-integration
Zep memory server integration for long-term conversation memory and user profiling
spacy-ner
spaCy NER model training and entity extraction for conversational AI
langchain-retriever
LangChain retriever implementation with various retrieval strategies for RAG applications
langchain-tools
LangChain tool creation and integration utilities for agent systems
langfuse-integration
LangFuse LLM observability integration for tracing, analytics, and cost tracking
convoy-management
Create, track, and land convoys of related beads as primary work orders in the Gas Town multi-agent orchestration framework.
single-file-bundling
Configure Vite with vite-plugin-singlefile for mandatory single-file HTML bundling of MCP Apps. All assets (JS, CSS, images, fonts) must be inlined into a single HTML file for sandboxed iframe compatibility.
semantic-kernel-setup
Microsoft Semantic Kernel planner and plugin setup for orchestrated AI
mcp-app-verification
Comprehensive verification checklists for MCP Apps. Tests with basic-host reference, validates handler-before-connect, text fallback, resource URI linking, single-file bundling, host styling, CSP, and legacy pattern detection.
redis-memory-backend
Redis backend for conversation state persistence and caching
rasa-nlu-integration
Rasa NLU pipeline configuration and training for intent and entity extraction
rag-reranking
Cross-encoder reranking and MMR diversity filtering for improved retrieval quality
rag-query-transformation
Query expansion, HyDE, and multi-query generation for improved retrieval
rag-hybrid-search
Hybrid search combining semantic and keyword retrieval for RAG pipelines. Implement BM25 + dense vector search with fusion strategies.
rag-embedding-generation
Batch embedding generation with caching, rate limiting, and multiple provider support
medical-agent
Build medical AI agents for clinical decision support, medical record summarization, diagnostic assistance, and healthcare workflow automation.
mcp-tool-resource-pattern
Implements the core MCP Apps architectural pattern where a Tool declares _meta.ui.resourceUri referencing a registered Resource. Covers registerAppTool, registerAppResource, text fallback, structuredContent, and app-only helper tools.
geometry-primitive-library
Provide robust computational geometry primitives
geometry-algorithm-library
Implement computational geometry algorithms
guardrails-ai-setup
Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.
flow-network-builder
Model optimization problems as network flow problems
dp-state-designer
Assist in designing optimal DP states and transitions
swarm-orchestration
Multi-agent swarm formation and coordinated execution with topology-aware agent deployment, consensus protocols, and anti-drift enforcement.
nostr-expert
Nostr protocol implementation patterns in Quartz (AmethystMultiplatform's KMP Nostr library). Use when working with: (1) Nostr events (creating, parsing, signing), (2) Event kinds and tags, (3) NIP implementations (57 NIPs in quartz/), (4) Event builders and TagArrayBuilder DSL, (5) Nostr cryptography (secp256k1, NIP-44 encryption), (6) Relay communication patterns, (7) Bech32 encoding (npub, nsec, note, nevent). Complements nostr-protocol agent (NIP specs) - this skill provides Quartz codebase patterns and implementation details.
find-missing-translations
Use when comparing Android strings.xml locale files to find untranslated string resources, missing translation keys, or preparing translation work for a specific language
gradle-expert
Build optimization, dependency resolution, and multi-module KMP troubleshooting for AmethystMultiplatform. Use when working with: (1) Gradle build files (build.gradle.kts, settings.gradle), (2) Version catalog (libs.versions.toml), (3) Build errors and dependency conflicts, (4) Module dependencies and source sets, (5) Desktop packaging (DMG/MSI/DEB), (6) Build performance optimization, (7) Proguard/R8 configuration, (8) Common KMP + Android Gradle issues (Compose conflicts, secp256k1 JNI variants, source set problems).
quartz-integration
Integration guide for using the Quartz Nostr KMP library in external projects. Use when: (1) adding Quartz as a Gradle dependency, (2) setting up NostrClient with WebSocket, (3) creating/signing/sending events, (4) building relay subscriptions with Filter, (5) handling keys with KeyPair/NostrSignerInternal, (6) using Bech32 encoding/decoding (NIP-19), (7) platform-specific setup (Android vs JVM/Desktop), (8) NIP-57 zaps, NIP-17 DMs, NIP-44 encryption in external projects.
kotlin-coroutines
Advanced Kotlin coroutines patterns for AmethystMultiplatform. Use when working with: (1) Structured concurrency (supervisorScope, coroutineScope), (2) Advanced Flow operators (flatMapLatest, combine, merge, shareIn, stateIn), (3) Channels and callbackFlow, (4) Dispatcher management and context switching, (5) Exception handling (CoroutineExceptionHandler, SupervisorJob), (6) Testing async code (runTest, Turbine), (7) Nostr relay connection pools and subscriptions, (8) Backpressure handling in event streams. Delegates to kotlin-expert for basic StateFlow/SharedFlow patterns. Complements nostr-expert for relay communication.
compose-expert
Advanced Compose Multiplatform UI patterns for shared composables. Use when working with visual UI components, state management patterns (remember, derivedStateOf, produceState), recomposition optimization (@Stable/@Immutable visual usage), Material3 theming, custom ImageVector icons, or determining whether to share UI in commonMain vs keep platform-specific. Delegates navigation to android-expert/desktop-expert. Complements kotlin-expert (handles Kotlin language aspects of state/annotations).
kotlin-expert
Advanced Kotlin patterns for AmethystMultiplatform. Flow state management (StateFlow/SharedFlow), sealed hierarchies (classes vs interfaces), immutability (@Immutable, data classes), DSL builders (type-safe fluent APIs), inline functions (reified generics, performance). Use when working with: (1) State management patterns (StateFlow/SharedFlow/MutableStateFlow), (2) Sealed classes or sealed interfaces, (3) @Immutable annotations for Compose, (4) DSL builders with lambda receivers, (5) inline/reified functions, (6) Kotlin performance optimization. Complements kotlin-coroutines agent (async patterns) - this skill focuses on Amethyst-specific Kotlin idioms.
kotlin-multiplatform
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zlibrary-to-notebooklm
自动从 Z-Library 下载书籍并上传到 Google NotebookLM。支持 PDF/EPUB 格式，自动转换，一键创建知识库。
code-review-skill
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stripe-projects
>-
stripe-best-practices
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upgrade-stripe
Guide for upgrading Stripe API versions and SDKs
treatment-plans
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
scientific-schematics
Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
scientific-critical-thinking
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.
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