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Found 700 Skills
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells and produce more human-like writing.
Remove AI-style noise from staged and branch diffs while preserving behavior and repository style.
Integrate Cartridge's verifiable random number generator (vRNG) into onchain games.
Removes AI writing artifacts from documentation and code. Use when editing LLM-generated prose, reviewing READMEs, polishing docs before publishing, or cleaning up AI-generated code. Use for emdash cleanup, formulaic phrase removal, tone calibration, over-commented code, verbose naming, and AI code smell detection.
Stop coding agents from shipping generic UI. Use UIZZE's 800,000+ real web and iOS screens to build product-specific interfaces, define a design contract, cover required states, and run a hard finish gate. Use for web or iOS UI design, implementation, redesign, critique, and pre-ship review in Codex, Claude Code, Cursor, Copilot, and other coding agents.
Configure Cartridge RPC endpoints with API token authentication and CORS whitelisting.
Beans-driven Ralp loop for beans-enabled repos. Use either to work on one bean on user request or to work on all beans in a repo.
Post-implementation cleanup that removes AI-generated bloat while preserving functionality. Runs pass-by-pass with test verification after each pass. Activate after kraken/spark complete a feature, or when a codebase needs hygiene work.
MUST USE when investigating performance issues on a ClickHouse-managed Postgres instance. Provides an evidence-based RCA workflow that scrapes the Prometheus endpoint for system signal, pulls per-digest evidence from the Slow Query Patterns API, and recommends (does not apply) a fix.
Guides users through writing, validating, and operationalizing Non-Functional Requirements (NFRs), Service Level Objectives (SLOs), Service Level Indicators (SLIs), and fitness functions. This skill should be used when a user wants to define or review NFRs for a system, translate NFRs into SLOs/SLIs, or generate automatable fitness functions (performance tests, ArchUnit-style architecture tests, availability checks, recovery drills) that validate a system against its non-functional requirements.
Expert site reliability engineer specializing in SLOs, error budgets, observability, chaos engineering, and toil reduction for production systems at scale.
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.