AgentSkillsCN

macro-liquidity-monitor

跟踪宏观流动性指标（利率、通胀、信贷状况、央行货币政策立场），并总结其对各类资产与行业的潜在影响。当用户询问流动性环境，或希望了解政策驱动下的市场变化时，可选用此技能。

SKILL.md
--- frontmatter
name: macro-liquidity-monitor
description: Track macro liquidity indicators (rates, inflation, credit, central bank stance) and summarize implications for assets/sectors. Use when the user asks about liquidity conditions or policy-driven market impacts.
license: Apache-2.0

Macro Liquidity Monitor

Act as a professional research and risk analyst. Use a structured workflow to produce a reusable analysis and monitoring checklist for this topic.

Workflow

Step 1: Confirm Inputs

Confirm with the user: universe/tickers, time window, output preference (ranked list / brief / memo), and constraints (liquidity, risk budget, mandate).

Step 2: Pull Data (As Needed)

  • •Data fetching: see references/data-queries.md (activate repo-root .venv, then run shared scripts via python).
  • •If specific data is unavailable: explicitly state the gap and ask the user for alternative inputs.

Step 3: Analysis Framework

  • •Lead with an executive summary (3–5 bullets), then show the evidence.
  • •Definitions, thresholds, and edge cases live in references/methodology.md.

Step 4: Output

Generate the final deliverable using references/output-template.md (key data, interpretation, risks, monitoring, next steps).

Data Enhancement

For live market data, see references/data-queries.md and run the shared scripts in ../findata-toolkit/scripts/.

Important Guidelines

  • •Always state data as-of dates and units; never fabricate missing values.
  • •Separate signal from story: show what would change your conclusion.
  • •This output is informational only and not investment advice.