serenity-skill

Cangjie Skill turns books, courses, long videos, podcasts, interviews, and other transcripts with reusable methods into modular agent skill packages rather than ordinary summaries. Its workflow maps the source, extracts frameworks, principles, examples, counterexamples, and terminology in parallel, filters weak candidates, and stress-tests the remaining skills. Deliverables can include an overview, skill index, reader digest, glossary, individual SKILL.md modules, and test prompts, making it best suited to structured reuse instead of simple content compression.

This agent skill helps consultants and business teams turn a company name into an AI opportunity map. It guides a web-search-capable agent through company and industry research, pain-point analysis, scenario discovery, prioritization, and implementation planning, with quick, standard, and deep report modes. The repository includes industry examples, analysis frameworks, and report templates. Research quality depends on the connected agent and its search and reasoning capabilities, and the supporting framework script requires Python 3.8 or later.

asta-skill is an optional instruction layer for Ai2’s Asta MCP server. It maps requests for paper search, identifier lookup, authors, citation traversal, batch queries, or full-text snippets to appropriate tool calls with safer defaults and workflow guidance. Access still requires the Asta MCP server and an API key; the tools work without installing the skill.

Remote Sensing Research Radar is a Codex skill for daily or weekly monitoring of geospatial AI, optical remote sensing, large-scale Earth-observation data, and computer-vision methods that may transfer into the field. It discovers and ranks papers, repositories, datasets, benchmarks, and trends by novelty, evidence, reproducibility, and research fit, then produces reading queues, related-work tables, reproduction plans, or publishable directions. SAR, PolSAR, InSAR, microwave-only, and SAR-optical fusion work are excluded by default unless explicitly requested.