macro-regime

SkillDev tools

Macro regime analysis, bull bear market detection, business cycle analysis, macro environment assessment, interest rate cycle, yield curve analysis, monetary policy, fiscal policy, global macro, central bank posture, credit cycle, recession probability, expansion regime, macro regime shift, stagflation detection

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the macro-regime skill

What this skill tells your AI

The instructions your AI receives, as published by agentii-ai/agentii-investment-intelligence in plugins/vertical-plugins/macro-strategy/skills/agentii/macro-regime/SKILL.md and read by ahel’s review.

Defaults

ParameterDefault ValueRationale
lookback_quarters82yr captures cycle inflection while remaining responsive
regime_indicatorsyield_curve, credit_spreads, PMI, VIX, fed_postureStandard macro regime detection set
probability_weightingbear/base/bullThree-scenario framework per institutional standard

Preflight

Run the canonical pre-flight sequence: MCP health probe, ticker resolution, workspace style override, memory load, and coverage check. See contracts/preflight.md. Propagate X-Agentii-Trace header per contracts/x-agentii-trace-header.md.

Data Source Priority (mandatory order)

  1. Knowledge entries FIRST — query gold.knowledge_entries for L1 regime frameworks
  2. Historical analogues SECOND — query search_by_analogue(market_regime) for matching cases
  3. Real-time data LAST — supplemental only

Methodology

Retrieval Scope

structured_only

Retrieval Strategy

  1. Query knowledge entries for L1 frameworks via search_knowledge_entries
  2. Query search_by_analogue for historical regime precedents
  3. Supplement with real-time data

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

  1. Regime Detection — classify current macro environment using yield curve, credit spreads, PMI, VIX, Fed posture
  2. Framework Application — apply relevant L1 framework from references/knowledge-frameworks.md
  3. Analogue Retrieval — query search_by_analogue(market_regime) for historical precedents
  4. Probability Weighting — Bear/Base/Bull scenarios with transition catalysts

Output File

{ticker}/{YYYY-MM-DD_HHMM}_macro-regime_{affix}.md

Output Structure

  1. Executive Summary — current regime with probability weights
  2. Regime Indicators — yield curve, credit spreads, PMI, VIX with readings
  3. Framework Analysis — applied L1 frameworks with evidence
  4. Historical Analogues — matched cases with /v/cases/ citations
  5. Scenario Matrix — Bear/Base/Bull with catalysts
  6. Risk Factors and Coverage Gaps

Error Handling

ErrorFallback
No L1 frameworksProceed with standard indicators; flag degraded
search_by_analogue emptyNote no analogue found; do not fabricate
Real-time quote unavailableUse last-known values with staleness flag

Memory Load

Load prior context before retrieval. See contracts/memory-load.md.

Snapshot

Post-session synthesis. See contracts/snapshot-synthesis.md.

Final Summary (TUI)

Include ### Key Citations block with 0-10 clickable /v/ URLs for cited frameworks and cases.

References

  • references/knowledge-frameworks.md
  • contracts/citation-and-memory.md
  • contracts/output-frontmatter-schema.md
  • contracts/memory-load.md
  • contracts/snapshot-synthesis.md
  • contracts/preflight.md

Signals

GitHub stars
204
Forks
16
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
macro-regime
Source
github.com/agentii-ai/agentii-investment-intelligence