Results for “e-e-a-t”

Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).

NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-face...

Klasy ORM i wzorce kodu biznesowego platformy Soneta (enova365, Soneta Enterprise, Triva). Używaj gdy użytkownik: (1) pisze, modyfikuje lub refaktoruje kod biznesowy enova365/Soneta/Triva (Row/Table/Module, sesje i transakcje, selector, typy wierszy); (2) pyta o konkretny mechanizm ORM — Session, Commit/Save, optimistic lock, Context, RowCondition, Datapack, ViewInfo, Features, thread-safety; (3) prosi o code review kodu biznesowego Soneta (safe-code); (4) pisze worker, extender, akcję w menu Czynności, folder/listę; (5) chce zinwentaryzować moduły, pola, workery lub formularze/zakładki (pola, sekcje, kolejność wprowadzania) z bibliotek DLL; (6) chce rozpocząć nowy dodatek/rozszerzenie Soneta — wygenerować szkielet źródeł z CLI (`dotnet new soneta-addon`, Soneta.MsBuild.SDK, szablony Soneta Platform Developer). Sięgnij też, gdy inny skill potrzebuje warstwy ORM/kodu biznesowego Soneta.

Expert web research skill for professionals, creators, and curious individuals who need to research any topic quickly and thoroughly. Use this skill whenever the user wants to research a topic, find information, fact-check a claim, compare options, understand an industry, investigate a subject, or compile a research brief. Triggers: "research this for me", "find information about", "can you look into", "I need to understand", "compare these options", "what do I need to know about", "help me research", "give me a summary of", "fact-check this", or any request where the user wants comprehensive, organized information on a topic. Do NOT limit to obvious research requests — if the user is trying to make a decision or understand something complex, treat it as a research task.

Assist with Colibri: pure-C LLM inference engine for running GLM-5.2 (744B MoE) on consumer machines with ~25 GB RAM. Use when setting up, building, converting models, running inference, configuring expert streaming and caching, optimizing speculative decoding (MTP), GPU integration, and integrating Colibri into production pipelines. Includes build setup, model download & conversion, chat/inference modes, performance tuning, and API integration patterns.

Send WhatsApp messages to other people or search and sync WhatsApp history via the wacli CLI, used only on explicit request.

Diagnose bugs, failing tests, or unexpected behavior by reproducing, isolating, hypothesizing with evidence, and confirming fixes before making changes.

Use this skill to determine if your carrier should check sex offender registries when hiring drivers. Covers legal requirements, EEOC considerations, and best practices.

腾讯云迁移平台（CMG/MSP）全流程能力。触发词：资源扫描、扫描阿里云/AWS/华为云/GCP资源、生成云资源清单、选型推荐、对标腾讯云、推荐规格、帮我推荐、给我推荐、ECS对应什么腾讯云产品、成本分析、TCO、迁移报价、询价、价格计算器、cmg-scan、cmg-recommend、cmg-tco

Update an existing implementation plan file with new or updated requirements for features, refactoring, package upgrades, design, architecture, or infrastructure.

Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries for database-like note management.

Provides technical reference for creating and editing PowerPoint files by manipulating Office Open XML directly, covering schema compliance, slide structure, and file updates.

Selects and scores marketing ideas for SaaS products using a feasibility scoring system to prioritize high-impact, low-effort opportunities.

Secure Solana wallet generation using official Solana Labs libraries — Ed25519 keypairs, memory zeroization, vanity address generation, offline-only operation, and multi-language implementations (Rust, TypeScript, Bash).

Use when generating changesets in the pythinker-code repository, including package bump selection, internal package and CLI bundle handling, bump levels, major confirmation, and English changelog wording.

Queries the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biomedical relationships across genes, drugs, diseases, phenotypes, pathways, and biological processes. Use when exploring drug-disease or gene-disease links, building disease-centric knowledge subgraphs, or sourcing relations for drug repurposing and precision-medicine analyses. Part of the AlterLab Academic Skills suite.

Builds React 18+ components, implements custom hooks, debugs rendering issues, migrates class components to functional, and manages state with Context, Redux, or Zustand. Covers React 19 Server Components, Suspense boundaries, useActionState forms, and performance optimization.

Create Railway projects, services, and databases with proper configuration. Use when user says "setup", "deploy to railway", "initialize", "create project", "create service", or wants to deploy from GitHub. Handles initial setup AND adding services to existing projects. For databases, use railway-railway-database skill instead.

Semantic-search personal knowledge (memory, plans, handoffs, skills, Codex rules) via the local RAG index at ~/.claude/rag-index/. Use when a query is fuzzy or cross-file ("how did we fix X", "what did we decide about Y", "which skill handles Z"). Complements grep (exact) and Serena (code symbols). If the user asks a recall question that doesn't map to a specific known file, reach here first.

Diagnose your own behavior by reading the structured logs you leave behind — turns.jsonl, events.jsonl, chat_history.jsonl, scheduler.yaml. Use when something has gone wrong (a message didn't land, a scheduled job isn't firing, a communication pattern feels off), when you need to understand a pattern over many turns, or when cost / token usage needs auditing. Covers jq query recipes and points at the debugging-jobs / debugging-communication / debugging-drift companion guides for specific failure modes.

Generates tailored marketing ideas and growth strategies for SaaS products based on stage, budget, and goals.

Validate multi-skill workflows by checking skill existence, inter-skill data contracts, JSON schema compatibility, file naming conventions, and handoff integrity.

Operate Hugging Face Hub repositories, models, datasets, and Spaces via the hf CLI, including downloads, uploads, authentication, and compute jobs.

Log in Node.js with Pino. Use when a user asks to add structured logging, improve logging performance, configure log levels, format logs for production, or replace console.log with proper logging.

Master smart contract security best practices to prevent common vulnerabilities and implement secure Solidity patterns. Use when writing smart contracts, auditing existing contracts, or implementing security measures for blockchain applications.

Review MetaSkill skills before publication for privacy, public-safe examples, frontmatter and folder standards, truthful capability claims, and resource consistency.

Provides expert guidance on PyTorch Fully Sharded Data Parallel (FSDP) training, covering parameter sharding, mixed precision, CPU offloading, and FSDP2.

Plan-driven implementation in Sage/Acorn — reads docs/plans/ directory, implements components from approved sub-plans, runs scaffold generators (lando acorn acf:block), commits incrementally, auto-invokes block-scaffolding per ACF block, runs lando flush and lando theme-build after changes; full PR workflow with sage-reviewer gate. Invoke for: "/building", "implement from the plan", "implement from the plan", "build from the plan", "execute the plan", "start building", "code this feature". Skip when: there is no approved plan yet — run /architecture-discovery then /plan-generator first.

Create polished HTML technical reports and multi-page documents for consulting deliverables. Includes a customizable design system with dark cover page, warm cream content pages (8.5x11 portrait), professional typography, and a curated component library (KPI cards, data tables with severity coloring, callout boxes, recommendation cards, priority banners). Trigger on report, audit report, technical document, written report, assessment, or multi-page document. Outputs standalone HTML files exported to PDF via Chrome headless.

Converts a pre-.NET 8 Blazor Server app into a .NET 8+ Blazor Web App by updating project files, migrating entry points, and adopting new render modes.

Implements FIDO2/WebAuthn hardware security key authentication with registration, authentication, YubiKey enrollment, and passkey migration using the python-fido2 library.

Convert and quantize models to GGUF format for efficient CPU/GPU inference with llama.cpp, supporting 2-8 bit quantization and Apple Silicon acceleration.

Displays HTML content on connected OpenClaw nodes (Mac, iOS, Android) via a local HTTP server and node bridge, with actions for presenting, navigating, evaluating, and capturing snapshots.

Review technical and strategy documents for codebase drift, strategic alignment, cross-document conflicts, simplification opportunities, engineering quality, and document organization. Use when auditing whether docs should be kept, updated, merged, split, moved, archived, or deleted.

Interactive project setup wizard. From a clean codebase, guides user through provider selection (OpenAI/Azure/DeepSeek/Ollama/Qwen/Gemini/etc.), API key configuration, dependency installation, config generation, and launches the dashboard. If user selects an unimplemented provider, auto-scaffolds the provider code following the plugin architecture. Auto-diagnoses and fixes startup failures with up to 3 retry rounds. Use when user says 'setup', 'set up', 'configure', 'init project', '初始化', '环境配置', '项目配置', 'first run', 'get started', 'quick start', or wants to configure and launch the project from scratch.

Audit App Store and Google Play listings for discoverability and conversion — keywords, localized metadata, screenshots, ratings prompts — then emit a prioritized ASO plan. Use when "optimize our store listing", "improve app downloads", or "ASO". Submission mechanics → plan-mobile-readiness. Plan only.