Was macht quiver-compass?
GTM Research & Competitive AI Toolkit 2026 - Raine Soriano
GTM Research & Competitive AI Toolkit 2026 – Raine Soriano
Dieses Skill-Bundle, reem-plus/quiver-compass, ist ein spezialisiertes Toolkit für Go-to-Market (GTM)-Recherche und Wettbewerbsanalyse, optimiert für KI-Agenten wie Claude Code, Cursor und Codex. Es ermöglicht Entwicklern und Produktteams, tiefgehende Einblicke in Markttrends, Wettbewerbslandschaften und Produktstrategien zu gewinnen. Das Toolkit automatisiert die Sammlung und Analyse von Daten aus verschiedenen Quellen, liefert strukturierte Berichte und verbessert die Entscheidungsfindung in der GTM-Planung. Durch die Integration in KI-gestützte Entwicklungsumgebungen wird die Research-Phase signifikant beschleunigt und präziser gestaltet.
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GTM Research & Competitive AI Toolkit 2026 - Raine Soriano
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.