全部能力

Creates or replans 3-7 Epics from scope using Decompose-First pattern. Use when initiative needs Epic-level breakdown or Epic scope changed.

Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support

Master React version upgrades, class to hooks migration, concurrent features adoption, and codemods for automated transformation.

Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only…

Generate battle-tested sales page copy through hostile validation, output only polished final copy

Implement comprehensive cloud security across AWS, Azure, and GCP with IAM, encryption, network security, compliance, and threat detection.

no-use-effect — an installable skill for AI agents, published by factory-ai/factory-plugins.

Access US stock market data including price bars, news with sentiment, and company details via eng0 data API. Use when user asks for stock prices, OHLCV data,…

Search 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles. Covers PubMed, PMC (full text), bioRxiv, medRxiv,…

Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.

When the user wants to set up or update their social media profile, voice, audience, content pillars, or platform preferences. Also use when the user mentions…

Checks outdated packages, unused deps, reinvented wheels, CVE/CVSS vulnerability scan. Use when auditing dependencies.

Generate a pre-earnings briefing for any stock using Yahoo Finance data. Use this skill whenever the user wants to prepare for an upcoming earnings report, understand what analysts expect, review a company's beat/miss track record, or get a quick overview before an earnings call. Triggers include: "earnings preview for AAPL", "what to expect from TSLA earnings", "MSFT reports next week", "earnings preview", "pre-earnings analysis", "what are analysts expecting for NVDA", "earnings estimates for", "will GOOGL beat earnings", "earnings beat/miss history", "upcoming earnings", "before earnings", "earnings setup", "consensus estimates", "earnings whisper", "EPS expectations", "what's the street expecting", "earnings season preview", any mention of preparing for or previewing an earnings report, or any request to understand expectations ahead of a company's earnings date. Always use this skill when the user mentions a ticker in context of upcoming earnings, even if they don't say "preview" explicitly.

Build resilient applications with robust error handling strategies that gracefully handle failures and provide excellent debugging experiences.

审阅者代理技能 - 使用 $agent-reviewer 调用

精通现代 Angular（v20+），深入掌握 Signals、Standalone Components、无 Zone 应用、SSR/Hydration 及响应式模式。

Execute tasks from a track's implementation plan following TDD workflow

Build and deploy Streamlit apps natively in Snowflake. Covers snowflake.yml scaffolding, Snowpark sessions, multi-page structure, Marketplace publishing as Native Apps, and caller's rights connections (v1.53.0+). Use when building data apps on Snowflake, deploying SiS, fixing package channel errors, authentication issues, cache key bugs, or path resolution errors.

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks,…

Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be…