FICC_Researcher 是做什么的？
Agent-oriented fixed income research skill with FICC playbooks, evidence cards, data-source policy, templates, and OpenClaw/MCP integration.
Agent-oriented fixed income research skill with FICC playbooks, evidence cards, data-source policy, templates, and OpenClaw/MCP integration.
FICC_Researcher is a Claude Code agent skill that agent-oriented fixed income research skill with FICC playbooks, evidence cards, data-source policy, templates, and OpenClaw/MCP integration.
npx skills add Kevin-Zhu-11/FICC_ResearcherInstalled? Explore more 研究与数据分析 skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
Agent-oriented fixed income research skill with FICC playbooks, evidence cards, data-source policy, templates, and OpenClaw/MCP integration.
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
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.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.