Results for “e-e-a-t”

Drafts U.S. employee non-disclosure/confidentiality agreements that protect employer trade secrets and proprietary information while preserving employee mobility. Triggers on: employee NDA, confidentiality agreement, non-disclosure agreement, trade secret protection, proprietary information, onboarding confidentiality clause, pre-employment NDA.

Connect to an existing Chrome browser via Chrome DevTools Protocol to navigate, click, type, screenshot, evaluate JavaScript, read the accessibility tree, and monitor console or network events.

Stop throwing everywhere - handle errors as values using Either and TaskEither for cleaner, more predictable code

Stop throwing everywhere - handle errors as values using Either and TaskEither for cleaner, more predictable code

Stop throwing everywhere - handle errors as values using Either and TaskEither for cleaner, more predictable code

Stop throwing everywhere - handle errors as values using Either and TaskEither for cleaner, more predictable code

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in...

End-to-end testing for Windows native desktop apps (WPF, WinForms, Win32/MFC, Qt) using pywinauto and Windows UI Automation.

Connects Claude to 1000+ external apps to send emails, create issues, post messages, and take actions in services like Gmail, Slack, and GitHub.

When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," or "lifecycle emails." For in-app onboarding, see onboarding-cro.

When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," or "lifecycle emails." For in-app onboarding, see onboarding-cro.

When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," or "lifecycle emails." For in-app onboarding, see onboarding-cro.

Expert on the history, origin, and correct use of the em dash. Use when writing or reviewing code, comments, or data files to avoid em and en dashes, defaulting to never using them and replacing any found with a hyphen (-). Includes strong knowledge of punctuation marks and the proper usage of punctuation characters when writing comments.

Parse and analyze Windows forensic artifacts including MFT, registry hives, prefetch files, event logs, LNK files, and jump lists using Eric Zimmerman's EZ Tools suite and KAPE.

Detect data exfiltration through DNS tunneling by analyzing query entropy, subdomain length, query volume, TXT record abuse, and response payload sizes using passive DNS monitoring.

Plan, design, and analyze A/B tests and growth experiments, from hypothesis to statistically sound results.

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch with composable error handling and real API examples.

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch blocks with composable error handling and real API examples.

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch with composable error handling, chaining, and parallel execution.

When the user wants to write, improve, or build a sequence of B2B cold outreach emails to prospects who haven't asked to hear from them. Use when the user mentions 'cold email,' 'cold outreach,' 'prospecting emails,' 'SDR emails,' 'sales emails,' 'first touch email,' 'follow-up sequence,' or 'email prospecting.' Also use when they share an email draft that sounds too sales-y and needs to be humanized. Distinct from email-sequence (lifecycle/nurture to opted-in subscribers) — this is unsolicited outreach to new prospects. NOT for lifecycle emails, newsletters, or drip campaigns (use email-sequence).

Provides structured guidance for building production-grade AI agent systems through context engineering, covering fundamentals, architectural patterns, operational excellence, and evaluation.

Design SDKs that developers love to use—APIs that feel native, error messages that guide, and experiences that reduce friction. This skill covers creating SDKs that drive adoption through exceptional developer experience rather than aggressive marketing. Trigger phrases: "SDK design",...

Design SDKs that developers love to use—APIs that feel native, error messages that guide, and experiences that reduce friction. This skill covers creating SDKs that drive adoption through exceptional developer experience rather than aggressive marketing. Trigger phrases: "SDK design",...

Design SDKs that developers love to use—APIs that feel native, error messages that guide, and experiences that reduce friction. This skill covers creating SDKs that drive adoption through exceptional developer experience rather than aggressive marketing. Trigger phrases: "SDK design",...

Automate AWS GuardDuty threat detection findings processing using EventBridge and Lambda to enable real-time incident response, automatic quarantine of compromised resources, and security notification workflows.

Create and edit AnimSequence keyframes and tracks — add/remove keyframes, set bone tracks, query sequence info, and bake edits (AnimSequenceService). Use when the user asks to create a new animation sequence, add keyframes/tracks, or edit raw animation data. For constraint-aware bone posing, also load animation-editing.

Generate, review, fix, and migrate Playwright end-to-end tests with templates, CI integration, and optional TestRail/BrowserStack sync.

Runs AI-powered exploratory testing on web applications using the ScoutQA CLI, including smoke tests, accessibility audits, and user flow validation.

Identify and test IAM misconfigurations that allow privilege escalation in AWS environments using Pacu, CloudFox, Principal Mapper, and manual analysis.

Decomposes an approved specification into dependency-aware waves and atomic executable tasks with exact file scope, test-first actions, verification commands, and an execution gate.

Use when a task is well-defined, has an automatic way to verify success (tests, linter, build), and is tedious or large enough to benefit from unattended iteration - e.g. "get all tests passing", "implement this spec end to end", "fix every lint error". Not for one-shot changes or work that needs human judgment mid-stream.

Automates EODHD APIs operations through Composio's toolkit via Rube MCP, with tool discovery and connection management.

Ruthless team performance audits (Elon Algorithm) and meeting-to-action extraction. Use for performance audits, meeting action items, or org efficiency reviews.

Evaluates the throughput and resource allocation efficiency of RIS-aided mobile edge computing systems by measuring the total computation task bits successfully completed under varying network conditions.

Creates a comprehensive end-to-end user journey map with stages, touchpoints, emotions, pain points, and opportunity areas for product design and UX analysis.

Use this skill whenever LMX is used, produced, reviewed, migrated, or modified. This includes composing campaigns, loops, lifecycle emails, or email-message bodies for the Loops editor or Content API. LMX (Loops Markup Language) is the format used for Loops email content. Trigger on phrases like "create a campaign", "generate an email", "write a welcome email", "draft a lifecycle email", "build an email template", "create an onboarding email", "copy this into LMX", "migrate this email", "convert this email to LMX", "design a new Loops email", "use imagegen for a Loops email", "use gpt-image for an LMX reference", "visual reference for a Loops email", "LMX", "Loops email", or any request to produce, copy, migrate, convert, review, or modify email body content intended for Loops. For net-new emails or major visual redesigns, follow this skill's Net-New Email Design Flow before generating or sourcing new visual assets. Source copy, existing HTML, MJML, Markdown, screenshots, and migration instructions do not byp