Results for “e-e-a-t”

Extract structured best-selling product data from Amazon, including titles, prices, ratings, reviews, sales volume, and promotions, using the BrowserAct API.

Tests and exploits deep link vulnerabilities in Android and iOS mobile applications to identify unauthorized access, data injection, intent hijacking, and redirect manipulation.

Run a structured retrospective after development-phase runs of your product's agents — interview the owner in plain language about what went well and poorly, draft ranked improvement hypotheses, then design and run small n=1/n=2 experiments with pre-declared success criteria, guardrails, stop conditions, and a cost/ROI kill-switch. Load when the user says how did that run go, retro this run, the agent output was bad, what should we improve, draft hypotheses, run a small experiment, or after repeated dev runs of an agentic system produce uneven quality. Priority: output quality over performance over cost, each with diminishing-returns stops. NOT a product A/B test (experimentation), NOT coding-agent harness repair (harness-evolution), NOT production-scale learning (runtime-learning-loop).

Play an onchain capture-the-flag game on Base by yoinking the flag from the current holder, checking game stats and leaderboards, and competing for the trophy using Bankr for transaction execution.

Expert prompt optimization system for the prompts INSIDE an AI product you are building — system prompts, LLM feature prompts, chatbot/agent instructions. Use when the user wants to write or improve a system prompt for an AI feature they're shipping, review/critique an LLM prompt, apply prompt-engineering techniques (chain-of-thought, few-shot, structured output, hard constraints) to a product prompt, or optimize cost/latency of a production prompt. Do NOT use this to clarify or structure the user's own vague request to Claude Code — that is `prompt-clarifier`'s job, not this skill's.

Sends and manages iMessages through the BlueBubbles integration, including texts, attachments, reactions, edits, unsends, and thread replies.

Explicitly save important knowledge to auto-memory with timestamp and context. Use when a discovery is too important to rely on auto-capture.

Runs evidence-first current-state research, comparing options and enriching people or companies, then reports with explicit evidence boundaries.

Audits local content archives and builds a reusable, structured content engineering project with content units, topic maps, and assembly drafts for ongoing reuse.

Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks OpenClaw to add a note, list notes, search notes, or manage note folders.

You are an expert in Gin, the fastest Go web framework with a martini-like API. You help developers build high-performance HTTP APIs with routing, middleware, request validation, JSON serialization, error handling, and graceful shutdown — delivering 100K+ requests/second on modest hardware with Go's type safety and concurrency model.

Audit agent skills, plugins, prompts, manifests, scripts, dependencies, and bundled assets for provenance, prompt-injection, permission, execution, exfiltration, persistence, and update risk. Use when evaluating a third-party skill before installing, enabling, updating, publishing, or distributing it; reviewing an untrusted SKILL.md, agent configuration, MCP integration, archive, or repository; comparing a package with a known-good version; or investigating unexpected tool, network, credential, or filesystem behavior.

Design and evolve engineering team structures for fast flow of change using the Team Topologies framework, including Conway's law, four team types, three interaction modes, and cognitive load management.

Convert frontend code (Vite, React, etc.) into a Stitch Design by extracting static HTML, analyzing the design system, and uploading to Stitch.

Detect process hollowing (T1055.012) by analyzing memory-mapped sections, hollowed process indicators, and parent-child process anomalies in EDR telemetry.

Store and query embeddings with metadata filtering, vector search, and full-text search using an open-source database that scales from notebooks to production.

Guides users through installing Everything Claude Code skills and rules to user-level or project-level directories, verifying paths and optionally optimizing installed files.

Uploads local images to GitHub via the gh-image CLI extension and embeds the resulting user-attachments URLs into pull requests, issues, or comments.

Implementation guide for ePrivacy Directive compliant double opt-in email consent. Covers confirmation email workflow design, token expiration handling, record-keeping requirements, suppression list management, and integration with CAN-SPAM Act and CASL requirements for multi-jurisdiction compliance.

Define o estilo juridico das pecas civeis do plugin — peticoes iniciais, contestacoes, replicas, recursos, manifestacoes, razoes. Use sempre que outra skill for redigir um texto civel, para garantir tom, estrutura, enderecamento e terminologia processual corretos. Acionada internamente pelas skills de redacao.

Uses a multi-agent generator-evaluator feedback loop to build high-quality applications from a single prompt, inspired by GANs and Anthropic's harness design.

Reduces SOC alert fatigue by tuning detection rules, consolidating duplicate alerts, implementing risk-based alerting, and measuring alert quality metrics to maintain analyst effectiveness.

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.

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.

Comprehensive guide to t5. Master the concepts, implementation, best practices, and real-world applications of t5 in professional environments.

Comprehensive guide to axum. Master the concepts, implementation, best practices, and real-world applications of axum in professional environments.

Comprehensive guide to a2c. Master the concepts, implementation, best practices, and real-world applications of a2c in professional environments.

Comprehensive guide to a3c. Master the concepts, implementation, best practices, and real-world applications of a3c in professional environments.

Comprehensive guide to asr. Master the concepts, implementation, best practices, and real-world applications of asr in professional environments.

Comprehensive guide to td3. Master the concepts, implementation, best practices, and real-world applications of td3 in professional environments.

Comprehensive guide to tts. Master the concepts, implementation, best practices, and real-world applications of tts in professional environments.

Comprehensive guide to trpo. Master the concepts, implementation, best practices, and real-world applications of trpo in professional environments.

Comprehensive guide to tsne. Master the concepts, implementation, best practices, and real-world applications of tsne in professional environments.

Comprehensive guide to akaze. Master the concepts, implementation, best practices, and real-world applications of akaze in professional environments.

Comprehensive guide to anova. Master the concepts, implementation, best practices, and real-world applications of anova in professional environments.

Create a concise plan. Use when a user explicitly asks for a plan related to a coding task.