skill-strategy-advisor · Strategy Iteration Advisor
A skill for data-driven strategy iteration: feed it a period of content performance data and get next-stage recommendations — direction adjustments, new lane suggestions, format optimization, cadence changes, and profile tweaks.
It differs from skill-content-strategy in its starting point: that skill builds strategy from zero; this one iterates on existing data. Recommendations are priority-ranked, each backed by data and labeled with confidence.
Example invocation: "Analyze the last 30 days of data and recommend next month's strategy."
Full brief
Positioning
skill-strategy-advisor is a data-driven strategy iteration advisor: given content performance data and a profile, it diagnoses the current state, finds problems and opportunities, and recommends concrete next-stage adjustments. No platitudes like "improve content quality" — every recommendation states the current state, the data behind it, expected impact, and execution notes.
Core capabilities
- Diagnosis: means, trends, and volatility of core metrics; anomaly detection; account health against platform benchmarks — including positive signals, not just problems.
- Attribution: cross-analysis of content-direction × format performance, time trends, and external factors (rule changes, industry events, seasonality).
- Recommendations: 3–5 items ranked by expected impact (high impact, low effort first), each labeled with confidence.
- Direction matrix: existing directions sorted into keep / strengthen / reduce / drop, each backed by data; new-lane suggestions come with low-cost trial plans.
- Format & cadence: format, length, frequency, and best-time suggestions.
- Profile tweaks: with a profile, deviations between data and the profile's positioning get explicit before/after fixes.
Workflow
- Data intake & cleanup: CSV, screenshots, descriptions, or review reports normalized to one format; can reuse skill-content-postmortem output
- Diagnosis: metric averages, trends, anomalies, health check
- Attribution: cross-analysis and external-factor review
- Trend & opportunity scan: industry shifts, unamplified growth signals
- Strategy generation: 3–5 concrete, priority-ranked recommendations
- Direction matrix: keep / strengthen / reduce / drop
- Profile tweaks (with profile): before/after comparisons for positioning, audience, style
- Delivery: full report + action list (this week / two weeks / watchlist), saved to
outputs/
Inputs & outputs
| Input | Notes |
|---|---|
| Content data summary | Required — titles, platforms, core metrics, or a review report |
| Time range | Recommended — e.g. "last 30 days" |
| Current strategy | Recommended — direction, lanes, cadence, formats |
| Goal changes / industry info | Optional — goal shifts, recent industry moves |
Output: a strategy iteration report — diagnosis (metrics overview, key issues, positive signals), 3–5 priority-ranked recommendations, direction matrix, format & cadence optimization, profile tweaks (with profile), action list, and a data-limitations statement.
Boundaries with adjacent skills
- skill-content-strategy: builds content strategy from zero (meta-strategy layer); this skill iterates on existing data (attribution layer).
- skill-content-postmortem: produces the retrospective diagnosis; this skill can consume its output to generate next-stage actions.
Fit
- Monthly or quarterly reviews followed by next-stage planning
- Declining or stalled metrics — find what's wrong and what to change
- Goal shifts (e.g. growth → monetization) requiring strategy realignment
Before you start
- Bring content data in any form (CSV, screenshots, text, reports) with at least titles, platforms, and core metrics; the more concrete the data, the sharper the advice.
- Note current strategy and goal changes; with a profile, recommendations stay aligned with long-term positioning.
- No API key or fees; all conclusions carry data limitations and assumptions.
skill-strategy-advisor is part of the Aiglade Skill library. Invoke it from the Aiglade chat box in plain language.