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Found 1,655 Skills
Convert an existing codebase in the current working directory into a ShinkaEvolve task directory by snapshotting the relevant code, adding evolve blocks, and generating `evaluate.py` plus Shinka runner/config files. Use when the user wants to optimize existing code with Shinka instead of creating a brand-new task from a natural-language description.
Use this skill when building production LLM applications, implementing guardrails, evaluating model outputs, or deciding between prompting and fine-tuning. Triggers on LLM app architecture, AI guardrails, output evaluation, model selection, embedding pipelines, vector databases, fine-tuning, function calling, tool use, and any task requiring production AI application design.
Use the Supermemory CLI to programmatically manage memories, documents, profiles, tags, connectors, keys, and teams from the terminal. Covers all commands, flags, and usage patterns.
Implement Syncfusion WPF SfRadialSlider for circular and radial numeric value selection. Use this when working with radial sliders, circular range selectors, or radial numeric inputs in WPF. Covers Value, Minimum, Maximum, TickFrequency, StartAngle, EndAngle, SweepDirection, rim radius factors, custom tick/label/pointer templates, and theming with SfSkinManager.
Compares Trailmark code graphs at two source code snapshots (git commits, tags, or directories) to surface security-relevant structural changes. Detects new attack paths, complexity shifts, blast radius growth, taint propagation changes, and privilege boundary modifications that text diffs miss. Use when comparing code between commits or tags, analyzing structural evolution, detecting attack surface growth, reviewing what changed between audit snapshots, or finding security-relevant changes that text diffs miss.
Implements Syncfusion WinUI Slider (SfSlider) control for numeric value selection in desktop applications. Use this when working with sliders, range selectors, value pickers, or interactive range controls. This skill covers slider configuration, ticks, labels, tooltips, value selection, and customization for WinUI applications.
Build a complete, production-ready full-stack web application from PRD documents, prototype images, and resource files. Handles the entire pipeline: system design, database schema, seed data, backend API, frontend UI, visual verification against prototypes, and deployment script generation. Use this skill whenever the user: - Provides a PRD (product requirement document) and wants a working app built - Says things like "根据PRD开发", "build from PRD", "implement this product", "把需求文档做成应用", "develop this app from requirements" - Has prototype images + requirements and wants full-stack implementation - Wants to turn product specifications into a running web application - Mentions building an app from wireframes/mockups combined with a requirements doc Trigger this skill even if the user just says "帮我开发" or "build this" with PRD materials present in the working directory.
When the user wants to finalize a blog draft for publishing — add schema markup, internal links, CTAs, frontmatter, and integrate it into the site repo. Use when the user mentions "publish blog," "finalize blog," "prep for publishing," "add schema," "add internal links," "blog integration," "move to production," "publish prep," "make this blog live," or "clean up this draft." Takes the output from seo-blog-s2-first-draft and produces a publish-ready blog post in the site's blog directory. For keyword research, see seo-blog-s1-keyword-research. For writing the first draft, see seo-blog-s2-first-draft.
Guide the design and implementation of automated pre-trade compliance systems that validate orders before execution. Use when building a compliance rule engine for an RIA or broker-dealer, configuring hard blocks and soft blocks, maintaining restricted and watch lists including MNPI-driven restrictions, setting concentration limits at security/sector/issuer level, implementing position limits or short selling controls, enforcing wash sale detection or free-riding prevention or pattern day trader identification, applying client-specific ESG screens or legal constraints, designing compliance override workflows with authorization and documentation, backtesting compliance rules, or evaluating compliance check latency impact on execution quality.
58pic AI Open Platform CLI: supports material search, directory browsing, model list query, download information retrieval by pid, and same-style task generation. Use when users mention 58pic search, same-style creation, PID, or material download; first use requires completing config / API Key setup. If no API Key is available, guide users to get it from the 58pic AI Open Platform page.
Patrones de integración de Prisma ORM con NestJS para aplicaciones de producción. Usar PROACTIVAMENTE cuando se trabaje con esquemas Prisma, migraciones, PrismaService, transacciones atómicas (incluyendo SELECT FOR UPDATE), repositorios como adaptadores de infraestructura en Clean Architecture, queries optimizadas (N+1, includes, paginación), seeds y testing con Prisma Mock. Activar siempre que aparezcan las palabras clave: Prisma, PrismaService, prisma.$transaction, prisma migrate, schema.prisma, PrismaClient, Prisma.validator, include/select, upsert, createMany, o cualquier operación de base de datos con Prisma en un proyecto NestJS.
Dense vector embeddings, semantic search, RAG pipelines, and reranking via Together AI. Generate embeddings with open-source models and rerank results behind dedicated endpoints. Reach for it whenever the user needs vector representations or retrieval quality improvements rather than direct text generation.