Conciseness

The body is efficient and skill-specific — tables for components, regimes, and sibling-skill comparisons, with no explanations of concepts Claude already knows. Minor trimmable redundancy remains: the three reference files are listed in both the Workflow and a separate Resources section, and the Script Arguments section partially repeats the run command from the Workflow, fitting 'minor instances of over-explanation that could be trimmed' rather than the lean 5 anchor.

Actionability

Concrete, copy-paste-ready commands are provided ('python3 -m pip install -r skills/macro-regime-detector/requirements.txt', 'uv run python3 skills/macro-regime-detector/scripts/macro_regime_detector.py --output-dir reports/') with documented options. Minor gaps: requirements.txt is referenced but absent from the bundle, and the Script Arguments block shows 'python3 macro_regime_detector.py' without the full path context used in the Workflow — 'concrete code or commands with minor gaps'.

Workflow Clarity

The four-step sequence is clear with prerequisites, data-fetch fallback behavior (FMP → yfinance, SHY/TLT fallback), and an explicit fail-closed checkpoint ('The detector fails closed and writes no report when none of its six components has usable data. Do not treat a missing report or non-zero exit as a valid low-transition regime.'). It falls short of the 5 anchor because there is no explicit error-recovery step telling Claude what to do (e.g., check FMP_API_KEY, retry without key) when the script fails — the guidance only says what not to conclude.

Progressive Disclosure

The SKILL.md is a clean overview with well-signaled, one-level-deep references, and every referenced file (references/regime_detection_methodology.md, references/indicator_interpretation_guide.md, references/historical_regimes.md) exists in the bundle. Detailed methodology and interpretation content is appropriately split into those reference files rather than inlined, and the Resources section annotates what each contains — matching the clear-overview 5 anchor.

Specificity

Multiple concrete actions are named with specific instruments: 'Detect structural macro regime transitions (1-2 year horizon)', 'Analyze RSP/SPY concentration, yield curve, credit conditions, size factor, equity-bond relationship, and sector rotation', and identification of five named regime states. Coverage is comprehensive and entirely third-person ('Detect', 'Analyze').

Completeness

Both questions are explicitly answered: the 'what' is concrete ('Detect structural macro regime transitions... Analyze RSP/SPY concentration, yield curve...'), and the 'when' is an explicit trigger clause ('Run when user asks about macro regime, market regime change, structural rotation, or long-term market positioning'). This matches the 5-anchor example structure of concrete what + explicit when with trigger phrases.

Trigger Term Quality

Good natural trigger phrases: 'macro regime', 'market regime change', 'structural rotation', 'long-term market positioning', plus named ratios (RSP/SPY, yield curve) users would mention. A few common variations are missing (e.g., 'market cycle', 'risk-on/risk-off', 'rotation trade'), which fits the 'a few natural terms missing' anchor rather than comprehensive coverage.

Distinctiveness Conflict Risk

The niche is clear — cross-asset ratio regime detection with distinctive vocabulary (RSP/SPY, five named regime states) — but the trigger phrase 'long-term market positioning' is broad enough to overlap with general portfolio-allocation skills, matching 'mostly distinct; minor overlap risk with closely related skills' rather than the minimal-conflict 5 anchor.