global-macro

Global macro analysis framework (central bank policy transmission / FX forecasting / geopolitical risk / capital flows), used to build macro factor signals that drive cross-asset allocation.

Quality

87%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

92%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is dense, actionable, and well-sequenced with concrete thresholds, executable code, and a clear macro-dashboard workflow, but it is a monolithic file with no progressive disclosure to supporting reference files despite its length.

Suggestions

Split the large indicator tables (central-bank monitoring, FX models, northbound signal rules) into a reference file such as references/indicators.md and link to it from SKILL.md to reduce inline token load.

Move the detailed historical transmission data and geopolitical-impact averages into a separate backtest-data reference, keeping SKILL.md as a concise overview.

Confirm whether a separate output-template or scoring-script file would let the main body stay under ~50-60 lines as an overview.

Dimension	Reasoning	Score
Conciseness	Lean, table-driven content that assumes Claude's competence and supplies only domain-specific empirical knowledge (indicator thresholds, signal rules, historical averages) rather than explaining basic concepts; every section earns its place.	3 / 3
Actionability	Provides concrete executable guidance: quantitative thresholds (China-US 10Y spread > 0, DXY > 105), a -2..+2 factor scoring scheme, runnable Python blocks for geopolitical-risk proxies and macro factor scoring, and a copy-ready output report template.	3 / 3
Workflow Clarity	The 'Steps for Building a Macro Dashboard' section sequences four clear steps (data collection → cycle positioning → factor scoring → asset mapping) and anchors to a structured output format; no destructive/batch operations are involved so absent validation loops are not penalized.	3 / 3
Progressive Disclosure	The body is a single long monolithic document with no bundle/reference files and no one-level-deep references, though it is reasonably well organized into labeled sections; substantial indicator tables and detailed frameworks remain inline where separate reference files could offload them.	2 / 3
	Total	11 / 12 Passed

Description

82%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and distinctive, naming several concrete analytical capabilities and natural domain terms, but it omits an explicit 'Use when...' trigger clause, leaving the 'when to use' guidance only implied.

Suggestions

Append an explicit trigger clause, e.g. 'Use when the user asks for global macro analysis, central bank / Fed-ECB-BOJ policy outlooks, FX or USD/CNY forecasting, geopolitical risk assessment, or cross-asset allocation guidance.'

Add common user phrasings such as 'macro view', 'rate cycle', or 'dollar cycle' to broaden natural trigger coverage.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete capabilities — 'central bank policy transmission / FX forecasting / geopolitical risk / capital flows' and 'build macro factor signals that drive cross-asset allocation' — rather than vague language.	3 / 3
Completeness	Clearly states what the skill does ('build macro factor signals that drive cross-asset allocation') but lacks any explicit 'Use when...' trigger clause, capping completeness at 2 per the rubric guideline.	2 / 3
Trigger Term Quality	Contains natural analyst-facing terms a user would say ('global macro', 'central bank policy', 'FX forecasting', 'geopolitical risk', 'capital flows', 'cross-asset allocation') with good coverage of the domain.	3 / 3
Distinctiveness Conflict Risk	Occupies a clear niche (global macro analysis) with distinct domain triggers unlikely to overlap with unrelated skills.	3 / 3
	Total	11 / 12 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: HKUDS/Vibe-Trading
Path: agent/src/skills/global-macro/SKILL.md
Commit: 8643fcd

Reviewed: 2 days ago

Table of Contents

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