Results for “piloterr”

Generates a comprehensive copilot-instructions.md file that guides GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns.

Performance Profiler

Build cross-platform Flutter apps with proven patterns for widgets, state management (Riverpod/Bloc), GoRouter navigation, performance optimization, and testing.

Flutter cross-platform development guide covering widget patterns, Riverpod/Bloc state management, GoRouter navigation, performance optimization, and platform-specific implementations. Includes const optimization, responsive layouts, testing strategies, and DevTools profiling. Use when: building Flutter apps, implementing state management (Riverpod/Bloc), setting up GoRouter navigation, creating custom widgets, optimizing performance, writing widget tests, cross-platform development.

Watch one or more GitHub repositories for new issues, pull requests, comments, PR reviews, and inline diff comments — emits a fresh turn each time something actionable happens. Use when you've opened PRs / issues mimir should know about review activity for, when you want operator-actionable signals for repos mimir maintains, or when you need to track upstream activity on a watched repo. Filters out events authored by mimir's own GitHub identity (set ``MIMIR_GITHUB_SELF_LOGIN``) so the bot doesn't wake itself with its own comments. Companion to the ``pollers`` framework skill (mechanics) and the ``world-scanning`` skill (catalog of *what's worth polling*). Opt-in: copy this directory into ``<home>/skills/github-poller/`` then set the env vars below.

Build cross-platform applications with Flutter 3+ and Dart, covering widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, and performance optimization.

peter — 技能索引

Autopilot operator

Selects Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes based on Orin SM 8.7 vs Thor SM 11.0 and JetPack version.

Use when tuning predator-prey dynamics, regime detection coefficients, or cooldown mechanisms

Write idiomatic Elixir code with OTP patterns, supervision trees, and Phoenix LiveView. Masters concurrency, fault tolerance, and distributed systems.

Master orchestrator to resolve a PR by diagnosing state and delegating to specialized skills.

Manage your Prowlarr indexer hub from the terminal. List and inspect indexers, view query/grab statistics, check health, manage connected *arr applications and download clients, browse search history, and test indexer connectivity. Use when the user mentions Prowlarr, indexers, indexer management, testing indexers, search history, or the indexer hub.

Atheris is a coverage-guided Python fuzzer based on libFuzzer. Use for fuzzing pure Python code and Python C extensions.

Provides idiomatic Kotlin implementation patterns including coroutine concurrency, Flow stream handling, multiplatform architecture, Compose UI construction, Ktor server setup, and type-safe DSL design.

Systematically profile Node.js, Python, and Go applications to identify CPU, memory, and I/O bottlenecks, generate flamegraphs, analyze bundle sizes, optimize database queries, and run load tests with k6 and Artillery.

Apply image blur effects and privacy masks using Python PIL processing. Use when you need to blur, redact faces, or mask sensitive regions in images.

Detect when backtest iteration has stalled and generate structurally different strategy pivot proposals to break out of local optima.

Write idiomatic Elixir code with OTP patterns, supervision trees, and Phoenix LiveView. Masters concurrency, fault tolerance, and distributed systems.

Build, review, debug, or test declarative statistical visualizations in Python with Altair and Vega-Lite, including chart marks, typed encodings, transforms, parameters, layers, facets, and specification export.

Integrates Stripe and PayPal payment processing into Flutter apps, covering one-time payments, subscriptions, and digital wallets.

This skill should be used when building prediction market integrations, implementing betting functionality, or querying Polymarket odds. Covers market search, odds checking, and position management.

Creates executable Polars dataframe contracts using Pandera's Polars backend for runtime validation of schemas, columns, and checks.