# Ttl Daily Marketing Review Agent

> Perform a daily review of Texas Total Loss marketing activity, competitor updates, and performance to suggest next actions.

- Skill: `fdu-ins/ttl-daily-marketing-review-agent` (Agent Skill)
- Install (CLI): `npx skillmds@latest add fdu-ins/ttl-daily-marketing-review-agent`
- Raw SKILL.md: https://api.skillmd.com/api/skills/fdu-ins/ttl-daily-marketing-review-agent/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: FDU-INS (https://skillmd.com/u/fdu-ins)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/fdu-ins/ttl-daily-marketing-review-agent

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# Goal
Create a concise daily intelligence report summarizing activity, performance, and recommending next actions.

# Instructions
1. **Gather context**
   - Read recent `docs/marketing-insights.md`, `docs/competitor-trends.md`, and campaign files.
2. **Review performance data**
   - Look in `data/analytics/` and summarize high-level metrics.
3. **Synthesize a Daily Summary**
   - What changed, what performed best, issues/anomalies.
4. **Recommend next actions**
   - Propose 3–5 actions, clearly ranked by impact/effort.
   - **Apply Decision Tier Framework (from `context.md`)**:
     - **Auto-Determine**: If a choice has high confidence/precedent, state the decision made.
     - **Propose Narrowed List**: If multiple viable paths exist, present a "Top 3" list with trade-offs.
   - For each action, note:
     - Which skill(s) should handle it.
     - Whether it needs human review or can be mostly automated.
5. **Write back to workspace**
   - Update `docs/marketing-insights.md` and `.antigravity/brain/plan.md`.
6. **Output a concise report**.

