ing

Research profitable Amazon KDP categories for book publishing. Use when planning a book launch, analyzing competition, or optimizing category selection for…

Research Amazon platform data for competitive products, pricing bands, reviews, best sellers, and related sourcing analysis.

Builds interactive HTML presentation from project docs with Mermaid diagrams. Use when sharing project overview with stakeholders.

Automatically detects story settings (genres, time periods, themes) based on keywords and activates corresponding knowledge bases - works silently in the…

Explore-lane code adaptation skill for deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated…

验证研究报告中所有声明的引用准确性、来源质量和格式规范性。确保每个事实性声明都有可验证的来源，并提供来源质量评级。当最终确定研究报告、审查他人研究、发布或分享研究之前使用此技能。

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, conducting literature reviews,…

Set up or update the agent-first engineering harness for any repository. Implements the complete scaffolding that makes AI coding agents effective: knowledge maps (AGENTS.md as a concise TOC), structured documentation, architecture boundaries, enforcement rules (.harness/*.yml specs), quality scoring, and process patterns for agent-driven development. Use this skill whenever someone wants to make a repo agent-ready, set up AGENTS.md or docs/ structure, define domain boundaries or golden principles, generate .harness/ configuration, audit agent readiness, or update an existing harness. Also trigger when a user reports problems with agent effectiveness, context management, or architectural drift — these are symptoms of a missing or stale harness. Trigger on: "harness this repo", "set up harness", "agent-first setup", "make this agent-ready", "update the harness", "assess agent readiness", "set up AGENTS.md", "organize for agents", or any discussion about structuring a codebase for AI agent workflows.

Build Google Ads campaign structures with keyword research, ad copy, audience targeting, and budget allocation. Use when planning paid search campaigns,…

Trusted-lane training execution skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively…

Documentation generation workflow covering API docs, architecture docs, README files, code comments, and technical writing.

Integrate Firebase services including Authentication, Firestore, Cloud Messaging, Crashlytics, and Analytics. Use when adding backend capabilities, push…

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on…

Generate a high-quality deep-reading note for a single paper and write it into an Obsidian-style vault. Use when the user gives a paper title, DOI, URL, arXiv…

Research and enrich B2B leads using the Apollo.io API. Use when the user says "find leads", "prospect research", "company enrichment", "find decision makers",…

Agent-native CLI for Exa web search and content retrieval workflows.

Search the web for information. Use when you need to look something up, find current information, or research a topic.

Full research pipeline: Workflow 1 (idea discovery) → implementation → Workflow 2 (auto review loop) → Workflow 3 (paper writing, optional). Goes from a broad…

Explore-lane experimental execution skill for deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as…

Trusted-lane debug skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape…