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dashboard_brief
Align analysts and designers on the goals, requirements, and storytelling approach for a new or updated dashboard.
.claude
Imported from https://github.com/bonfire-networks/bonfire-app.
axiom-ownership-conventions
Use when optimizing large value type performance, working with noncopyable types, or reducing ARC traffic. Covers borrowing, consuming, inout modifiers, consume operator, ~Copyable types.
axiom-swiftui-performance
Use when UI is slow, scrolling lags, animations stutter, or when asking 'why is my SwiftUI view slow', 'how do I optimize List performance', 'my app drops frames', 'view body is called too often', 'List is laggy' - SwiftUI performance optimization with Instruments 26 and WWDC 2025 patterns
axiom-sqlitedata-ref
SQLiteData advanced patterns, @Selection column groups, single-table inheritance, recursive CTEs, database views, custom aggregates, TableAlias self-joins, JSON/string aggregation
microsoft-extensions-configuration
Microsoft.Extensions.Options patterns including IValidateOptions, strongly-typed settings, validation on startup, and the Options pattern for clean configuration management.
transactional-emails
Build transactional emails using MJML templates with variable substitution. Render responsive HTML that works across email clients. Test with Mailpit/Mailhog in development via Aspire.
axiom-camera-capture-ref
Reference — AVCaptureSession, AVCapturePhotoSettings, AVCapturePhotoOutput, RotationCoordinator, photoQualityPrioritization, deferred processing, AVCaptureMovieFileOutput, session presets, capture device APIs
bm-md
使用 bm.md 服务进行 Markdown 排版、渲染和格式转换，支持微信公众号、知乎、掘金等多平台
knowledge-extractor
Extracts key learnings from conversations, debugging sessions, and failed attempts. Use at session end or after solving complex problems to capture insights. Automatically suggests updates to: DISCOVERIES.md (learnings), PATTERNS.md (reusable solutions), new agent creation (repeated workflows). Ensures knowledge persists across sessions.
getting-pr-review-comments
Use when needing Claude bot review recommendations from PR - automatically waits for workflows (including Claude review) to complete, then extracts recommendations and returns concise summary without loading full review into context
meta-cognition-parallel
EXPERIMENTAL: Three-layer parallel meta-cognition analysis. Triggers on: /meta-parallel, 三层分析, parallel analysis, 并行元认知
debug
Imported from https://github.com/cyberkaida/reverse-engineering-assistant.
services
Imported from https://github.com/cyberkaida/reverse-engineering-assistant.
structures
Imported from https://github.com/cyberkaida/reverse-engineering-assistant.
binary-triage
Performs initial binary triage by surveying memory layout, strings, imports/exports, and functions to quickly understand what a binary does and identify suspicious behavior. Use when first examining a binary, when user asks to triage/survey/analyze a program, or wants an overview before deeper reverse engineering.
test.slow
Imported from https://github.com/cyberkaida/reverse-engineering-assistant.
imports
Imported from https://github.com/cyberkaida/reverse-engineering-assistant.
constants
Imported from https://github.com/cyberkaida/reverse-engineering-assistant.
.claude
Imported from https://github.com/badass-courses/course-builder.
WritingPlans
Creates detailed implementation plans that break complex features into 2-5 minute tasks, specifying exact file paths, providing complete code examples, and including test steps, enabling efficient execution with minimal codebase context.
Python
This skill provides Python development best practices using modern tooling like uv, ruff, mypy, and pytest. It guides dependency management, testing, linting, and type checking to ensure code quality and maintainability for projects in 2025.
TestDrivenDevelopment
Enforces strict Test-Driven Development by requiring a failing test before any production code, guiding users through the red-green-refactor cycle to ensure systematic, test-first development with reliable verification at each step.
concept-building
Generates user stories from git commits with duplicate detection and conflict vetting. Handles multi-node batching and maintains story lifecycle states. Integrates with existing story database and supports both CI and interactive workflows.