---
title: "Weekly Executive Digest"
description: "Produce a short executive update from latest vs prior snapshots."
order: 14
featured: false
---

   
                                
                                                                               
         
   
# Weekly Executive Digest

## What it does

Produce a highly concise weekly executive update comparing the latest result snapshots against prior snapshots, highlighting key deltas, positives, risks, and next steps.

## Execution Contract

```yaml
Every execution of this skill must operate under the following contract:
- **ingestion_plan**: A documented plan for pulling data.
- **max_api_calls**: 3 (default, strictly enforced).
- **cache_key**: A unique key identifying the cached API dataset.
- **dataset_timestamp**: ISO timestamp of the ingested dataset.
- **analysis_mode**: `offline_only`
```

## Data Access Policy

- **API Target**: Consume data from the FullMention API at `GET /v2/runs/{runId}`.
- **Controlled Ingestion**: Perform exactly one controlled ingestion pull from the FullMention API. Paginated batch fetching is preferred.
- **API Decoupling**: Do NOT treat the FullMention API as a persistent database or state-store; it is a read-only snapshot provider.
- **24-Hour TTL**: FullMention v2 deletes run data after 24 hours, meaning offline persistence/database caching is a strict requirement for historical tracking.
- **Local Persistence**: Save all analytical outputs locally in the current workspace directory.
  - Raw structured JSON must be saved to `[skill_name].json` (e.g. `weekly-executive-digest.json`).
  - A premium, beautifully styled markdown report must be saved to `[skill_name].md` (e.g. `weekly-executive-digest.md`).
- **Caching**: Reuse the same stored dataset across iterative prompts. Do not repeat identical API calls.
- **Refresh Window**: Make additional API calls only if the user explicitly requests a refresh window or a missing page fetch.
- **Rate Limits & Backoff**: Respect API rate limits and backoff policies. Never run open-ended call loops.
- **Allowed Sources**:
  - Local working dataset produced from one ingestion pull of FullMention API data.
  - Optional user-provided local file/DB snapshot (read-only).
  - No repeated API fetching during analysis.

## Required Input Fields & Parameters

The input dataset from the API/file must map to these fields:
- `updatedAt` (string, ISO-8601 timestamp of snapshot update)
- `keyword` (string, searched keyword)
- `brandRankings[].name` (string, brand name)
- `brandRankings[].position` (integer, brand rank position)
- `websiteRankings[].domain` (string, domain name)
- `websiteRankings[].position` (integer, domain rank position)
- `productRankings[].name` (string, product name)
- `productRankings[].position` (integer, product rank position)

## Analytical Method

Follow these step-by-step logic rules during analysis:
1. **Delta Calculation**: Compare the latest snapshot metrics against the immediate prior snapshot in the dataset to calculate:
   - **SOV Change**: Brand Share of Voice percentage shifts.
   - **Rank Wins/Losses**: Direct position changes for monitored brands.
   - **Citation Concentration**: Variations in the distribution of recommended websites/domains.
   - **Product Visibility Change**: Direct position changes and entry/exit of monitored products in `productRankings[]`.
2. **Impact Selection**: Identify and classify:
   - **Highlights**: Top positive performance deltas and strategic opportunities.
   - **Risks**: Notable decreases in SOV, rank losses, or rising competitor momentum.
3. **Action Projections**: Formulate actionable next steps designed to capitalize on highlights or mitigate identified risks.

## Expected Output

The skill must generate two outputs in the local workspace:

1. **`weekly-executive-digest.json`**:
   Contains the raw structured analytical output, including the execution contract metadata, deltas, selected highlights, risks, next actions, confidence metrics, and the evidence map.

2. **`weekly-executive-digest.md`**:
   A premium, beautiful human-readable report. This report must contain:
   - **Headline**: A brief, high-impact executive summary statement.
   - **KPI Delta Block**: A visual block/table displaying key metric changes (e.g. `Metric | Current | Delta | Status`).
   - **Highlights, Risks & Next Actions**:
     - **Highlights**: Key positive accomplishments or positive shifts.
     - **Risks**: Critical threats or negative trends.
     - **Next Actions**: Actionable recommendations.
   - **Confidence & Limitations**:
     - A confidence score from 0-100.
     - **Confidence Rationale**: Explanation of how the confidence score was derived.
     - **Limitations**: A list of data limitations or gaps.
   - **Evidence Map**: An array of objects `evidence_map[]` with:
     - `finding_id`
     - `metric_name`
     - `source_field_paths[]`
     - `sample_result_ids[]`

## Guardrails & Constraints

- **Evidence-Based and Concise**: Keep the analysis extremely concise, focused, and directly supported by data.
- **Traceable Deltas Only**: Every claim, highlight, or risk must be directly traceable to a calculated delta in the dataset. Do not make assumptions or claims without explicit data backing.
- **No Web Lookups**: Do not perform external web lookups or enrichment of brand data.
- **No Hallucination**: Do not invent brands, rankings, websites, or hidden fields that are not present in the ingested dataset.

## Copy-ready Skill Prompt

Use this as a full copy/paste prompt in your AI tool:

```text
Skill: Weekly Executive Digest
Goal: Produce a short executive update from latest vs prior snapshots.

Data Access Policy:
- **API Target**: Consume data from the FullMention API at `GET /v2/runs/{runId}`.
- **Controlled Ingestion**: Perform exactly one controlled ingestion pull from the FullMention API. Paginated batch fetching is preferred.
- **API Decoupling**: Do NOT treat the FullMention API as a persistent database or state-store; it is a read-only snapshot provider.
- **24-Hour TTL**: FullMention v2 deletes run data after 24 hours, meaning offline persistence/database caching is a strict requirement for historical tracking.
- **Local Persistence**: Save all analytical outputs locally in the current workspace directory.
  - Raw structured JSON must be saved to `[skill_name].json` (e.g. `weekly-executive-digest.json`).
  - A premium, beautifully styled markdown report must be saved to `[skill_name].md` (e.g. `weekly-executive-digest.md`).
- **Caching**: Reuse the same stored dataset across iterative prompts. Do not repeat identical API calls.
- **Refresh Window**: Make additional API calls only if the user explicitly requests a refresh window or a missing page fetch.
- **Rate Limits & Backoff**: Respect API rate limits and backoff policies. Never run open-ended call loops.
- **Allowed Sources**:
  - Local working dataset produced from one ingestion pull of FullMention API data.
  - Optional user-provided local file/DB snapshot (read-only).
  - No repeated API fetching during analysis.

Input Fields & Params:
The input dataset from the API/file must map to these fields:
- `updatedAt` (string, ISO-8601 timestamp of snapshot update)
- `keyword` (string, searched keyword)
- `brandRankings[].name` (string, brand name)
- `brandRankings[].position` (integer, brand rank position)
- `websiteRankings[].domain` (string, domain name)
- `websiteRankings[].position` (integer, domain rank position)
- `productRankings[].name` (string, product name)
- `productRankings[].position` (integer, product rank position)

Method:
Follow these step-by-step logic rules during analysis:
1. **Delta Calculation**: Compare the latest snapshot metrics against the immediate prior snapshot in the dataset to calculate:
   - **SOV Change**: Brand Share of Voice percentage shifts.
   - **Rank Wins/Losses**: Direct position changes for monitored brands.
   - **Citation Concentration**: Variations in the distribution of recommended websites/domains.
   - **Product Visibility Change**: Direct position changes and entry/exit of monitored products in `productRankings[]`.
2. **Impact Selection**: Identify and classify:
   - **Highlights**: Top positive performance deltas and strategic opportunities.
   - **Risks**: Notable decreases in SOV, rank losses, or rising competitor momentum.
3. **Action Projections**: Formulate actionable next steps designed to capitalize on highlights or mitigate identified risks.

Expected Output:
The skill must generate two outputs in the local workspace:

1. **`weekly-executive-digest.json`**:
   Contains the raw structured analytical output, including the execution contract metadata, deltas, selected highlights, risks, next actions, confidence metrics, and the evidence map.

2. **`weekly-executive-digest.md`**:
   A premium, beautiful human-readable report. This report must contain:
   - **Headline**: A brief, high-impact executive summary statement.
   - **KPI Delta Block**: A visual block/table displaying key metric changes (e.g. `Metric | Current | Delta | Status`).
   - **Highlights, Risks & Next Actions**:
     - **Highlights**: Key positive accomplishments or positive shifts.
     - **Risks**: Critical threats or negative trends.
     - **Next Actions**: Actionable recommendations.
   - **Confidence & Limitations**:
     - A confidence score from 0-100.
     - **Confidence Rationale**: Explanation of how the confidence score was derived.
     - **Limitations**: A list of data limitations or gaps.
   - **Evidence Map**: An array of objects `evidence_map[]` with:
     - `finding_id`
     - `metric_name`
     - `source_field_paths[]`
     - `sample_result_ids[]`

Guardrails:
- **Evidence-Based and Concise**: Keep the analysis extremely concise, focused, and directly supported by data.
- **Traceable Deltas Only**: Every claim, highlight, or risk must be directly traceable to a calculated delta in the dataset. Do not make assumptions or claims without explicit data backing.
- **No Web Lookups**: Do not perform external web lookups or enrichment of brand data.
- **No Hallucination**: Do not invent brands, rankings, websites, or hidden fields that are not present in the ingested dataset.
```

