发现 AI Agent Skills

Build and refactor SwiftUI UI with component patterns and examples. Use when shaping navigation, state, layouts, controls, or screen composition.

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

Board meeting preparation for the adversarial scenario, not the friendly one. Forces numbers-cold mastery, anticipates hard questions, builds a narrative that acknowledges weakness without losing the room. Use when preparing for a board meeting, an investor update, fundraising presentation, or any high-stakes adversarial review where every number must live in your head not just on a slide.

Segment integration. Manage Workspaces. Use when the user wants to interact with Segment data.

Analyze CDN domain traffic anomalies using hcloud CLI. Query billing mode and traffic/bandwidth metrics for specified domains, compare against 3-month baseline and absolute thresholds to identify traffic theft or abuse. Use this skill when the user wants to: (1) analyze CDN domain traffic anomalies, (2) check if a domain has traffic theft or abuse, (3) query CDN billing mode and traffic/bandwidth metrics, (4) compare current traffic against historical baseline. Triggers include: CDN流量异常, 流量异常分析, 域名流量分析, 流量盗刷, 带宽异常, 95带宽异常, 流量突增, 流量对比, 基准分析, traffic anomaly, bandwidth anomaly, CDN traffic analysis, traffic theft detection, baseline comparison

Ritekit integration. Manage Hashtags, Images, Texts. Use when the user wants to interact with Ritekit data.

Implement a piece of work based on a spec or set of tickets.

Use when designing PostgreSQL + Redis data models, indexes, caching strategies, JSONB usage, tiered storage, or cache consistency contracts.

Jina Search - fast web search returning SERP results

One sentence - what this skill does and when to invoke it

Expert bash/shell scripting across environments where Bash is available (Linux, macOS, Git Bash on Windows, WSL, containers). This is a Bash-focused skill - it does not provide PowerShell parity; on Windows the target is the Bash interpreter (Git Bash / WSL), not native PowerShell. PROACTIVELY activate for: (1) ANY bash/shell script task, (2) System automation, (3) DevOps/CI/CD scripts, (4) Build/deployment automation, (5) Script review/debugging, (6) Converting commands to scripts. Provides: Google Shell Style Guide compliance, ShellCheck validation, Bash portability across Linux/macOS/WSL/Git Bash/containers, POSIX compliance, security hardening, error handling, performance optimization, testing with BATS, and production-ready patterns. Ensures professional-grade, secure, portable Bash scripts every time.

Maintain durable feature-level memory across AI coding sessions with lightweight Markdown tracks for status, source-of-truth docs, decisions, risks, and changes.

Anime.js v4 - A fast, multipurpose and lightweight JavaScript animation library. Use when creating animations, timelines, draggable interactions, SVG animations, text effects, or working with CSS properties, DOM attributes and JavaScript objects.

Use when starting any implementation task, feature request, bug fix, or refactoring work. Triggers on /plan command, before any code is written, when requirements need structured analysis, or when transitioning from brainstorming to implementation. Forces question-asking, approach comparison, and explicit approval before any code.

This skill should be used when the user asks about "FastAPI", "FastAPI routes", "FastAPI dependencies", "Pydantic models", "FastAPI middleware", "API endpoints", "OpenAPI", or mentions FastAPI development.

Manage EC2 instances, AMIs, and auto-scaling groups. Configure security groups, key pairs, and instance types. Use when deploying compute resources on AWS.

Integrate TweetSmash REST bookmark retrieval, filtering, pagination, and label management into scripts or tools. Excludes browser automation, other Twitter/X APIs, and marketing copy.

Feature planning and implementation with 4 adaptive phases (Specify, Design, Tasks, Execute). Auto-sizes depth by complexity. Writes testable requirements in EARS notation, atomic tasks, atomic Conventional Commits, and requirement traceability. Ships deterministic Python validation scripts so structural gates are enforced by code, not memory. Features an independent Verifier (author != verifier, evidence-or-zero), a discrimination sensor, a decision log (STATE.md), a test-coverage matrix, and a self-improving lessons layer. Stack-agnostic and tool-agnostic. Use when (1) planning features, (2) implementing with verification and atomic commits, (3) validating an implementation against a spec. Triggers on "specify feature", "discuss feature", "design", "tasks", "implement", "validate", "verify work", "UAT", "record decision", "pause work", "resume work". Do NOT use for pure architecture decomposition analysis or standalone technical design documents.