macro-regime
SkillDev toolsMacro 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.
No other account needed.
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
| Parameter | Default Value | Rationale |
|---|---|---|
| lookback_quarters | 8 | 2yr captures cycle inflection while remaining responsive |
| regime_indicators | yield_curve, credit_spreads, PMI, VIX, fed_posture | Standard macro regime detection set |
| probability_weighting | bear/base/bull | Three-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)
- Knowledge entries FIRST — query gold.knowledge_entries for L1 regime frameworks
- Historical analogues SECOND — query search_by_analogue(market_regime) for matching cases
- Real-time data LAST — supplemental only
Methodology
Retrieval Scope
structured_only
Retrieval Strategy
- Query knowledge entries for L1 frameworks via search_knowledge_entries
- Query search_by_analogue for historical regime precedents
- Supplement with real-time data
Temporal Scope
See frontmatter temporal_scope block.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
- Regime Detection — classify current macro environment using yield curve, credit spreads, PMI, VIX, Fed posture
- Framework Application — apply relevant L1 framework from references/knowledge-frameworks.md
- Analogue Retrieval — query search_by_analogue(market_regime) for historical precedents
- Probability Weighting — Bear/Base/Bull scenarios with transition catalysts
Output File
{ticker}/{YYYY-MM-DD_HHMM}_macro-regime_{affix}.md
Output Structure
- Executive Summary — current regime with probability weights
- Regime Indicators — yield curve, credit spreads, PMI, VIX with readings
- Framework Analysis — applied L1 frameworks with evidence
- Historical Analogues — matched cases with /v/cases/ citations
- Scenario Matrix — Bear/Base/Bull with catalysts
- Risk Factors and Coverage Gaps
Error Handling
| Error | Fallback |
|---|---|
| No L1 frameworks | Proceed with standard indicators; flag degraded |
| search_by_analogue empty | Note no analogue found; do not fabricate |
| Real-time quote unavailable | Use 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.mdcontracts/citation-and-memory.mdcontracts/output-frontmatter-schema.mdcontracts/memory-load.mdcontracts/snapshot-synthesis.mdcontracts/preflight.md
Signals
- GitHub stars
- 204
- Forks
- 16
- Last commit
- Sep 2026
Advanced
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macro-regime- Source
- github.com/agentii-ai/agentii-investment-intelligence