Results for “e-e-a-t”

Provides a fast in-memory DataFrame library for datasets that fit in RAM, with lazy evaluation, parallel execution, and an Apache Arrow backend for ETL pipelines and analytics.

Analyzes earnings-season implied volatility: historical IV crush, implied move forecast, IV Rank strategy tag, and a priced Iron Condor quote ready to trade.

Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples. Use when the user runs /si:extract or asks to package a recurring solution from memory into a skill.

Initialize an Adobe App Builder project end-to-end without Developer Console UI clicks. Creates the Console project and workspace, subscribes APIs, maps user intent to the right template, runs non-interactive `aio app init`, and guides post-init customization.

Configure Microsoft Entra Privileged Identity Management to enforce just-in-time role activation, approval workflows, and access reviews for Azure AD privileged roles.

Provides a production-proven oversized macOS-style cursor technique for launch videos, covering size, entry, tip-targeting, click animation, and exit laws to carry the viewer's eye.

Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.

Send and receive high-throughput event streams using Azure Event Hubs with .NET, including batch sending, buffered producers, and checkpoint-based processing.

Niagara emitter color/curve authoring (tint, hue-shift, ColorFromCurve keys), rapid-iteration parameter tuning, and Custom-HLSL scratch-pad authoring (NiagaraEmitterService + NiagaraScratchPadService). Module/renderer CRUD is owned by the engine NiagaraToolsets. Use when the user asks to recolor or hue-shift particles, edit color curves, tune emitter params, or build a scratch-pad/Custom HLSL module. For system-level lifecycle, load niagara-systems.

Two-stage review engine with four-layer quality model for the WinDAGs meta-DAG. Receives completed node outputs and produces ReviewResult containing QualityVector. Stage 1 (Haiku) checks Floor + Wall on every node. Stage 2 (Sonnet) runs Ceiling evaluation conditionally using economic escalation formula. Enforces BC-EVAL-001 through BC-EVAL-006. Activate when operating as the Evaluator role in the meta-DAG, when reviewing node outputs, when computing quality vectors, or when deciding Stage 2 escalation.

Use when adapting academic findings for a public audience (op-ed, social post, podcast) and the simplification must stay evidence-faithful, avoid overclaiming, respect embargoes, and disclose AI assistance.

Use when blending editorial magazine composition with precision product-tech detailing — asymmetrical grids, cinematic media bands, mono utility labels, and restrained accent color. Prefer this over mengto-agency-grid-layout-minimal when tech/product detailing and media bands matter as much as the editorial grid.

Generate unique entity IDs following the project's configured format. The write-side foundation that every entity-creating skill depends on. Use whenever a new entity is being created and needs an ID, or when validating an ID format, or to inspect the project's ID configuration.

Generates thorough README.md documentation by exploring a codebase, identifying the tech stack, and producing setup, architecture, and deployment guides.

Install and operate Hermes Tweet, the native Hermes Agent X/Twitter plugin for endpoint discovery, read-only calls, and explicitly gated action-only workflows.

Anti-over-engineering guardrail that activates when an AI coding agent expands scope, adds abstractions, or changes files the user did not request.

Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.

Use when designing or auditing experiments for an ACL paper, covering tuned LLM baselines, multi-dataset and multilingual evaluation, statistical significance and variance, human evaluation with agreement reporting, contamination and prompt-sensitivity controls, ablations, and error-analysis expectations in NLP reviewing.

Guides authorized reverse engineering of Chrome and Firefox browser extensions, covering manifest analysis, background workers, and credential or traffic logic recovery.

Detect and exploit race condition vulnerabilities in web applications using Turbo Intruder's single-packet attack technique to bypass rate limits, duplicate transactions, and exploit time-of-check-to-time-of-use flaws.

Audit Trail Helper - Auto-activating skill for Enterprise Workflows. Triggers on: audit trail helper, audit trail helper Part of the Enterprise Workflows skill category. Use when analyzing or auditing audit trail helper. Trigger with phrases like "audit trail helper", "audit helper", "audit".

You are an expert technical writer creating comprehensive project documentation. Your goal is to write a README.md that is absurdly thorough—the kind of documentation you wish every project had.

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

Orchestrate token-heavy research, coding, and testing by delegating bounded tasks to cheaper subagents while reserving Claude Fable for architecture, synthesis, and final review.

Projeta métricas, logs, traces, dashboards, alertas e SLO com Prometheus, Grafana, Loki, Tempo, Mimir, Zabbix e Alertmanager, incluindo consultas PromQL e boas práticas de alertas.

Analyzes tabular datasets to understand distributions, data quality, and patterns, including column distributions, missing data, class balance, and summary statistics.

Analyze complex systems through stocks, flows, and feedback loops to find high-leverage interventions. For organizational, environmental, social, and technical systems exhibiting circular causality. NOT for linear problems or simple cause-effect chains.

One-time setup that makes fb.ai cold email actually sendable — add a sending domain, get the DNS records published, verify, add a sender signature, and get it confirmed. Has two unavoidable human waits (DNS, Postmark email); the skill stops and hands back at each. Run once per brand, then re-run to resume.

Build Motion (Framer Motion) React animations — declarative motion components, variants, AnimatePresence, layout transitions, scroll effects, and inline SVG pathLength. Load when the user asks to animate with Motion, Framer Motion, motion.div, AnimatePresence, layout animation, whileInView, or React enter/exit transitions. Also triggers on "framer-motion", "motion/react", "useReducedMotion", or "React animation library". React/Next only — not README embeds or non-React.

Use essa skill para processar e analisar grandes conjuntos de dados tabulares (bilhões de linhas) que excedem a RAM disponível. Vaex excels em operações DataFrame out-of-core, avaliação lazy, agregações rápidas, visualização eficiente de big data e machine learning em datasets grandes. Aplique quando usuários precisarem trabalhar com arquivos CSV/HDF5/Arrow/Parquet grandes, realizar estatísticas rápidas em datasets massivos, criar visualizações de big data ou construir pipelines de ML que não cabem em memória.

Extracts business contact details from Google Maps search results and place detail pages, then visits each business website to collect emails, phone numbers, and social media profiles.

CEO/founder-mode plan review. Rethink the problem, find the 10-star product, challenge premises, expand scope when it creates a better product. Four modes: SCOPE EXPANSION (dream big), SELECTIVE EXPANSION (hold scope + cherry-pick expansions), HOLD SCOPE (maximum rigor), SCOPE REDUCTION (strip to essentials). Use when asked to "think bigger", "expand scope", "strategy review", "rethink this", or "is this ambitious enough". Proactively suggest when the user is questioning scope or ambition of a plan, or when the plan feels like it could be thinking bigger. (gstack)

Sets up JavaScript/TypeScript projects with opinionated tooling and conventions including ESLint, TypeScript config, testing with Vitest, and monorepo setup.

Provides guidance and code examples for building enterprise React UIs with Ant Design, including forms, tables, theming, and ProComponents.

Manages Coda documents via the REST API v1, including listing, creating, updating, deleting docs, managing tables, rows, pages, triggering automations, and exploring doc structure. Requires a CODA_API_TOKEN environment variable and explicit confirmation for destructive operations.