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Found 2,259 Skills
Creates and validates Salesforce flows with 110-point scoring and Winter '26 best practices. Use when building record-triggered flows, screen flows, autolaunched flows, scheduled flows, or reviewing existing flow performance.
Use when building 3D content, AR experiences, or spatial computing with RealityKit. Covers ECS architecture, SwiftUI integration, RealityView, AR anchors, materials, physics, interaction, multiplayer, performance.
Rust compiler skill for systems programming. Use when selecting RUSTFLAGS, configuring Cargo profiles, tuning release builds, reading assembly or MIR output, understanding monomorphization, or diagnosing compilation errors. Activates on queries about rustc flags, Cargo.toml profiles, opt-level, LTO, codegen-units, target-cpu, emit asm, MIR, or Rust build performance.
Expert GDScript best practices including static typing (var x: int, func returns void), signal architecture (signal up call down), unique node access (%NodeName, @onready), script structure (extends, class_name, signals, exports, methods), and performance patterns (dict.get with defaults, avoid get_node in loops). Use for code review, refactoring, or establishing project standards. Trigger keywords: static_typing, signal_architecture, unique_nodes, @onready, class_name, signal_up_call_down, gdscript_style_guide.
Optimize application performance and scalability. Use when investigating slow applications, scaling bottlenecks, or improving response times. Use for profiling, caching, database optimization, frontend performance, and backend tuning.
Analyze code performance, detect bottlenecks, suggest optimizations for algorithms, queries, and resource usage. Use when improving application performance or investigating slow code.
Score each creator on a completed campaign across consistency, content quality, engagement rate, and brand alignment, then produce a ranked retention list for future campaigns. This skill should be used when grading creators after a campaign ends, evaluating influencer performance post-campaign, ranking creators by campaign performance, building a retention list of top creators, deciding which creators to rebook for the next campaign, scoring influencer deliverables after a launch, comparing creator performance across a campaign roster, auditing which creators delivered the most value, or tiering creators into re-engage versus one-and-done lists. For calculating engagement rates and benchmarking them by tier, see engagement-rate-calculator-benchmarker. For scoring niche fit before a campaign, see niche-fit-scorer. For building the full campaign report with ROI narrative, see campaign-roi-calculator-narrative-builder.
Enforces TheOne Studio React Native development standards including TypeScript patterns, React/Hooks best practices, React Native architecture (Zustand/Jotai, Expo Router), and mobile performance optimization. Triggers when writing, reviewing, or refactoring React Native code, implementing mobile features, working with state management/navigation, or reviewing pull requests.
Query Developer Experience (DX) data via the DX Data MCP server PostgreSQL database. Use this skill when analyzing developer productivity metrics, team performance, PR/code review metrics, deployment frequency, incident data, AI tool adoption, survey responses, DORA metrics, or any engineering analytics. Triggers on questions about DX scores, team comparisons, cycle times, code quality, developer sentiment, AI coding assistant adoption, sprint velocity, or engineering KPIs.
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.
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and self-assessments without modifying their static .md configuration.
Use when you need to optimize database performance, schema design, indexing, and query performance across different database systems