Results for “e-e-a-t”

Analyzes test suites across multiple languages and tags each test with standardized traits (positive, negative, critical-path, etc.) for better test categorization and coverage visibility.

Adds a new API connector or provider to a repository by matching its existing integration pattern exactly, including layout, config, auth, error handling, tests, and wiring.

Detect business email compromise (BEC) attacks using email gateway rules, behavioral analytics, and financial process controls.

Guides when to use Salesforce Bulk API 2.0 and provides commands for importing, updating, upserting, deleting, and exporting records, along with CSV format requirements, limits, and error handling.

Design task-local harnesses, eval gates, and reusable skill extraction for adaptive agent workflows.

Generates comprehensive unit tests with edge cases, error paths, and boundary values. Auto-detects the test framework, scans for untested functions, adopts existing conventions, runs tests, and self-heals failures in up to 3 iterations while measuring coverage.

Anti-slop frontend design skill for building NEW landing pages, portfolios, and UI from a brief. Reads the brief and existing brand context first, infers a design direction from three configurable dials (variance, motion, density), and ships interfaces that don't look templated or default-AI. Use when starting a new page/UI with no existing identity to preserve, or when asked to design something "that doesn't look like every other AI landing page." For auditing and upgrading an EXISTING UI, use `taste-redesign` instead — this skill is for the moment before code exists. Triggers on: "build a landing page", "design a portfolio", "make this not look generic/templated/AI-generated", "anti-slop", starting UI work with a brief but no established identity yet. Also owns component-library selection (which package for toasts, dropdowns, charts, drag-and-drop, state, etc.) — use this instead of hand-rolling a component or guessing at a dependency. Source: github.com/Leonxlnx/taste-skill (taste-skill, the main v2 varian

Turns a decision the user can't fully answer into a questionnaire for someone else to fill in. Use when the user says "turn this into a questionnaire" or needs knowledge pulled out of an expert.

Calculates the lowest effective glucocorticoid dose (dexamethasone or prednisone) to normalize blood pressure and serum potassium in glucocorticoid-remediable aldosteronism (GRA/FH-I) by titrating to biochemical and clinical targets. Indicated when initiating medical treatment for confirmed GRA, triggered by findings such as early-onset hypertension, family history of stroke before age 40, spontaneous hypokalemia, or suppressed plasma renin activity with elevated aldosterone.

Detect container escape attempts using runtime security tools like Falco, Sysdig, and custom seccomp/audit rules.

BFL FLUX API integration guide covering endpoints, async polling patterns, rate limiting, error handling, webhooks, and regional endpoints with Python and TypeScript code examples.

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

Swap ERC20 tokens across supported chains via OpenSea's cross-chain DEX aggregator. Get quotes with optimal routing, check token balances, and execute swaps.

Parse Windows Prefetch files to determine program execution history including run counts, timestamps, and referenced files for forensic investigation.

Learn and apply prompt engineering techniques for LLMs, image generators, and video models using the inference.sh CLI.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.

Use when you need to remove adapter sequences from high-throughput sequencing reads, trim low-quality bases, or filter reads by length. Supports single-end and paired-end FASTQ/FASTA input with error-tolerant adapter matching.

Design and evaluate A/B tests with power, sample size, and robust metric interpretation. Use when: (1) planning controlled experiments, (2) reading p-values/effects, (3) sequential testing safeguards. NOT for: dark-pattern optimization.

Create and develop Microsoft 365 Copilot declarative agents with three workflows covering basic creation, enterprise design, and validation, using TypeSpec and the Microsoft 365 Agents Toolkit.

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.

Use when the main empirical results exist but the manuscript lacks the robustness, heterogeneity, mechanism, and placebo checks that AER referees will demand. Apply after aer-identification and before aer-introduction so that the value-added paragraph can reference these tests.

Enforces a verification gate before any completion claim, requiring fresh command output as evidence.

Accesses Quotient market intelligence through either x402 micropayments or API key auth, with explicit 402 challenge/settle handling when using x402.

Authoritative ato authoring and review skill: language reference, stdlib, design patterns, and end-to-end board design workflow.

Applies the ArchiMate enterprise architecture framework to structure analysis, break down complex problems, and align stakeholders with a common vocabulary.

Default execution rhythm — inspect → act → verify → checkpoint — applied iteratively until the task is done or a clear blocker emerges. Use when working through a known plan, draining a queue (PRs, issues, dependency bumps), or executing a multi-step recipe where each step's output informs the next. Each iteration must produce a concrete artifact (commit, comment, decision) and a one-line state update. Stop on first unrecoverable error rather than retrying blindly. Pair with `ship` for merge-bound work and `handoff` if budget runs out mid-loop.

Translate visa application documents from images to English and generate a bilingual PDF with the original and translation side by side.

Provides a rigorous thinking partner profile that challenges assumptions, calibrates claims to evidence, and improves decision quality under uncertainty.

Extracts YouTube video transcripts and metadata (title, publisher, likes) via the BrowserAct API without CAPTCHA or IP restrictions.

Load, configure, and apply textures in Three.js, including UV mapping, environment maps, HDR textures, and render targets.

You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.

Escreve microcopy de interface — mensagens de erro, estados vazios, tooltips, rótulos de botão, onboarding e notificações, com foco em clareza e acessibilidade.

Audit a page or a site for both classic search and answer-engine visibility, then return prioritized fixes so an AI answer engine will actually quote you. Checks entity clarity, structured answers, schema, internal links, and freshness, and ranks every fix by effort against impact. Trigger on "audit my SEO", "why don't I show up in AI answers", "will ChatGPT cite my page", "check my page for search", "AEO audit", or "how do I rank for this".

Expert en scheduling v2 (cron, Celery Beat, Temporal, BullMQ, tâches récurrentes, timezones)

SEO fundamentals, E-E-A-T, Core Web Vitals, and Google algorithm principles.

Builds an external attack surface management (EASM) program using Shodan, Censys, and ProjectDiscovery tools for asset discovery, subdomain enumeration, service fingerprinting, and exposure scoring.