Bootstrap agents for iOS, iPadOS, macOS, Swift, SwiftUI, SwiftData/Core Data, Swift Testing, Xcode build/test/debug, Simulator, App Intents, or XcodeBuildMCP work. Use before building, fixing, refactoring, QAing, or setting up Apple-platform repos, and when asked to load/install Ray's iOS skills or bootstrap iOS.
npx skills add https://github.com/RayFernando1337/rayfernando-skills --skill bootstrap-ios
Use this as the single entry point before touching an Apple-platform app.
It is a router skill: discover the project, load only the references needed
for the current job, verify that build/test tools exist, then act.
The default posture is conservative:
SwiftData, and current Xcode APIs.
unfiltered xcodebuild output when possible.
project/workspace, Tuist, XcodeGen, CocoaPods, or buildable folders.
references/install-and-bootstrap.md.
read references/xcodebuildmcp.md.
references/skill-map.md.
| User asks for... | Load |
|---|---|
| "Bootstrap iOS", "install my iOS skills", "one command" | install-and-bootstrap.md |
| Build, test, simulator, logs, debug, device install | xcodebuildmcp.md |
| SwiftUI screen, navigation, sheets, app wiring | skill-map.md SwiftUI entries |
| Animation, motion, "make it feel alive", loaders, delight | Also use swiftui-animation-match (interaction-to-animation matcher) |
| Async/await, actors, Sendable, Swift 6 migration | skill-map.md concurrency entries |
| Unit tests, Swift Testing, XCTest migration | skill-map.md testing entries |
| SwiftData, models, queries, migrations, CloudKit | skill-map.md SwiftData entries |
| Core Data stack, fetches, background contexts | skill-map.md Core Data entries |
| Slow builds, compiler time, project settings | SwiftLee Xcode Build Optimization in skill-map.md |
| Architecture/rules loader/advanced Swift discipline | Merowing rules in skill-map.md |
| App Intents, Siri, Shortcuts, widgets | Official Build iOS Apps plugin notes in skill-map.md |
| QA this iOS app | Also use running-bug-review-board and its iOS simulator playbook |
Do not silently modify the user's machine. If the user asks to install or
bootstrap, explain what will be installed, then use the helper script in dry-run
first:
bash scripts/bootstrap-ios-skills.sh --dry-run --agent cursor
After the user confirms, run without --dry-run. The helper is idempotent and
keeps optional/non-GitHub sources as instructions instead of pretending it can
install them. After a real install it verifies every expected skill actually
landed and is complete (every references/, scripts/, and assets/ file
cited by each SKILL.md exists on disk) and fails loudly with reinstall
instructions if any skill is missing entirely or installed shallow. See
references/install-and-bootstrap.md.
Before reporting an Apple-platform task done:
report the blocker with the exact next command to fix it.
the next agent to verify.
This skill synthesizes Paul Solt's X article "Install These Skills Before Codex
Touches Your Xcode Project", the linked community skill repos, official OpenAI
plugin references, Merowing rules, AppCreator notes, and getsentry/XcodeBuildMCP.
See references/sources.md.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take rayfernando1337/bootstrap-ios from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.