Results for “c-lang”

Analyzes and documents SpaceX's design language, including color palettes, typography, layout, and elevation, for use in design systems and brand guidelines.

Analyzes and documents Webflow's design language, including color palette, typography hierarchy, spacing system, and layout principles for use in design systems.

Builds production RAG and semantic search systems with Qdrant, covering collection setup, vector indexing, filtered and hybrid search, and integration with LangChain and LlamaIndex.

Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.

Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.

Edit PDFs with natural-language instructions using the nano-pdf CLI.

Create optimized multi-stage Dockerfiles for any language or framework

Edit PDFs with natural-language instructions using the nano-pdf CLI.

Edit PDFs with natural-language instructions using the nano-pdf CLI.

Edit PDFs with natural-language instructions using the nano-pdf CLI.

Edit PDFs with natural-language instructions using the nano-pdf CLI.

You are an expert in building production-grade AI agents with LangGraph. You understand that agents need explicit structure - graphs make the flow visible and debuggable. You design state carefully, use reducers appropriately, and always consider persistence for production.

Instrument a shipped product's AI agents with tracing and observability so you can see what they did, why outputs happened, and what each run cost. Plain-language primer plus free-tier-first backend selection (Langfuse, Phoenix, LangSmith, Braintrust) and OpenTelemetry/OpenInference instrumentation. Load when the user asks to add observability, add tracing, instrument my agents, see what my agent is doing in production, set up Langfuse or Phoenix or LangSmith, debug why my agent gave a bad answer, or track LLM cost per request. Also fires when agent-system-architecture or setup-evaluation requires an observability plan for an agent-chain product. NOT for tracing the coding agent itself — that is run-trace. Precondition for runtime-learning-loop.

Write idiomatic Kotlin 1.9+ with null safety, sealed classes, data classes, extension functions, delegates, collections, inline/reified generics, and expression syntax. Use for Kotlin language constructs, Java-to-Kotlin migration, lazy delegates, data classes, backing properties, or inline/reified generics; keep language constructs in scope even inside response models, and defer coroutine configuration, Android Context/framework, Retrofit/OkHttp client setup, and other library-specific recipes.

Installs and configures Language Server Protocol servers for Copilot CLI to enable code intelligence features like go-to-definition, find-references, hover, and type info.

Manage Attio CRM operations through natural language: search records, query contacts and companies with advanced filters, manage notes, list attributes, and navigate relationship data via the Composio MCP integration.

Fine-tune and deploy CLIP vision-language models for zero-shot classification, image-text retrieval, and embedding extraction with ONNX and TensorRT support.

Model software around the business domain using bounded contexts, aggregates, and ubiquitous language, with scoring and diagnostic tools for evaluating domain model quality.

Write correct, efficient Kusto Query Language queries with coverage of syntax, joins, dynamic types, datetime pitfalls, regex, serialization, memory management, and advanced functions.

Analyzes Vercel's design language, documenting its color system, typography, surface hierarchy, and gradient-based decorative system for use in design systems or brand analysis.

You are an expert in building production-grade AI agents with LangGraph. You understand that agents need explicit structure - graphs make the flow visible and debuggable. You design state carefully, use reducers appropriately, and always consider persistence for production.

Edit PDFs with natural-language instructions using the nano-pdf CLI.

Define or refactor a shared frontend UI system by establishing token governance, visual-language rules, primitive naming, and cross-product consistency before polishing individual screens.

Analyzes Warp's design language—warm dark canvas, restrained Inter typography, tight button radii, and terminal-mockup imagery—to extract a reusable design token system.

Generates a focused style foundation prompt for AI Studio, building exactly three exemplary sections—hero, typography, and card grid—to establish a reusable visual language for any subsequent development.

Expert at building multi-language applications. Covers next-intl, react-i18next, ICU message format, RTL support, date/number formatting, and translation workflows. Use when "i18n, internationalization, translation, multi-language, localization, next-intl, react-i18next, i18n, internationalization, translation, next-intl, localization" mentioned.

Holistic evaluation framework for language models measuring accuracy, calibration, robustness, and fairness

提供奉俊昊导演风格的创意建议，涵盖视觉方案、叙事建议、场景设计和执行要点，适用于剧本创作和影像设计。

Create or update the feature specification from a natural language feature description.

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

Create or update the feature specification from a natural language feature description.

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.