Campaign metrics often lack the structure and context stakeholders need. This skill turns existing influencer data into audience-specific reports with insights and recommendations.
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Agent request
Review the Skillstore skill "report-generator" from https://skillstore.io/skills/aaron-he-zhu-report-generator.md and its manifest at https://skillstore.io/api/skills/aaron-he-zhu-report-generator/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.
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Agent-readable resources
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All 38 static findings are false positives caused by Markdown links, code fences, inline code, metadata URLs, or ordinary reporting language. One medium semantic risk remains because the skill directs agents to persist campaign reports and selected metrics in shared memory without requesting confirmation.
The skill directs agents to save reports and promote ROI, creator decisions, and campaign learnings into shared memory without checking sensitivity or user consent.
The persistence instructions and target paths are explicit. The impact depends on host memory scope and whether campaign data is confidential.
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Summarize business outcomes, ROI, major lessons, and investment recommendations for leadership.
Client Results Delivery
Present campaign performance, creator highlights, audience insights, and next steps in a polished client report.
Team Performance Retrospective
Document detailed metrics, content patterns, budget variance, learnings, and assigned actions for future campaigns.
Try These Prompts
Create a Basic Campaign Report
Create a campaign report for [campaign name]. The audience is [executive, client, team, or board]. Use these metrics: [metrics].
Build an Executive Summary
Build an executive summary for [campaign and period]. Compare results with [targets or prior period]. Highlight ROI, key outcomes, and one recommendation.
Prepare a Client Performance Report
Prepare a client report for [campaign]. Include objectives, delivery, performance, top creators, audience insights, recommendations, and next steps. Use [provided data].
Develop a Detailed Team Retrospective
Develop a team retrospective for [campaign]. Analyze results by platform, creator, content format, budget, and efficiency. Add evidence-based recommendations, owners, and deadlines.
Best Practices
Provide validated metrics, campaign dates, audience, targets, and comparison periods before requesting the report.
Match detail to the audience and explain every important metric with relevant context.
Review confidential data and confirm persistence preferences before saving reports or conclusions.
Avoid
Do not ask the skill to invent missing results, targets, benchmarks, or financial values.
Do not use one report structure for executives, clients, and delivery teams.
Do not present isolated metrics without explaining performance, causes, implications, and next actions.
Frequently Asked Questions
Does this skill calculate ROI or ROAS?
No. It reports supplied values and expects a separate analyzer or calculator to produce validated financial metrics.
Which report audiences are supported?
It supports executive, client, internal team, and board audiences with different detail levels and priorities.
What information should I provide?
Provide the campaign name, period, audience, objectives, targets, spend, revenue, reach, engagement, conversions, and creator results when available.
Can it work without live platform connections?
Yes. Supply the campaign metrics directly, and the skill can create the report without live integrations.
Does it create charts?
It recommends suitable chart types and report layouts. Actual chart rendering depends on the host and available tools.
Where can reports be saved?
The skill proposes workspace memory paths. Confirm the location and remove sensitive information before enabling persistence.