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Found 3,737 Skills
6 ColdIQ messaging templates - Ask Before Pitch, Not Too Different Persona, Upfront Value, Leverage Content, and Why Are You Paying. Use when creating outreach campaigns, A/B testing message structures, or choosing a messaging approach.
Verify statistics from raw data with methodology checking, significance testing, claim validation, and bias detection. Use when fact-checking statistical claims, validating research findings, or auditing data analysis.
Get best practices for TUnit unit testing, including data-driven tests
Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing.
Write copy that gets a "yes" using Joanna Wiebe's research-first, Voice of Customer methodology Use when: **Writing landing pages, emails, or sales pages** that need measurable conversion results; **Starting a new copy project** and need a systematic process to follow; **Struggling with what to write** and staring at a blank page; **Wanting to prove ROI** to clients with data-backed decisions; **Improving existing copy** through validation and testing
Instrument Python LLM apps, build golden datasets, write eval-based tests, run them, and root-cause failures — covering the full eval-driven development cycle. Make sure to use this skill whenever a user is developing, testing, QA-ing, evaluating, or benchmarking a Python project that calls an LLM, even if they don't say "evals" explicitly. Use for making sure an AI app works correctly, catching regressions after prompt changes, debugging why an agent started behaving differently, or validating output quality before shipping.
Runs Fastly Compute WASM applications locally with Viceroy, specifically for Rust and Component Model projects. Use when starting a local Fastly Compute dev server with Viceroy, configuring fastly.toml for local backend overrides and store definitions, running Rust unit tests with cargo-nextest against the Compute runtime, debugging Compute apps locally, adapting core WASM modules to the Component Model, or troubleshooting local Compute testing issues (connection refused, missing backends, store config). For non-Rust Compute work or understanding the Compute API, prefer the fastlike skill instead — its source code is easier to understand as a Fastly Compute API reference.
Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.
Systematic exploratory QA testing of web applications — find bugs, capture evidence, and generate structured reports
Supply-chain testing via package-manager dependency confusion: when internal package names resolve to attacker-controlled public registries, leading to malicious install and script execution. Use for npm/pip/gem/Maven/Composer/Docker manifest review and authorized red-team supply-chain exercises.
Hash attack playbook. Use when exploiting length extension, MD5/SHA1 collisions, HMAC timing leaks, birthday attacks, or hash-based proof of work in CTF and authorized testing scenarios.
Resilience review and testing: evaluate error handling, graceful degradation, API contract compliance, edge cases, and failure recovery with browser-based fault injection and validation.