agentsclimarketplace

Report generator

Skill aiskillstore/marketplace/skills/aaron-he-zhu/report-generator

Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.

Install
npx -y skills add aiskillstore/marketplace --skill report-generator

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

What its author says it does

Copied from the file, not written here

Use when the user asks to "create a campaign report", "build an executive summary", or "deliver client results"; produces audience-tailored influencer marketing reports (executive, client, internal team) with data tables, narrative, key learnings, and recommendations. Not for raw metric computation — use performance-analyzer.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

7.9 KB, as published. Nobody here has run it

Report Generator

This skill helps you create professional influencer marketing reports that tell the story of your campaign performance. It adapts content and depth based on the audience.

Cross-discipline (paid ads): this is also the paid-ads reporting surface — build exec/client/channel reports from RQS history (memory/audits/ad/) and measurement-loop readback verdicts. It presents metrics; it does not compute them (return math stays in roi-calculator). Save paid runs under memory/ad/report-generator/.

Quick Start

Shortest invocation:

Create a campaign report for [campaign name] for [audience: executive/client/team]

Common scenario:

Generate an executive summary for our Q3 influencer campaigns

Skill Contract

  • Reads: campaign name, reporting period, target audience, and computed metrics (reach, engagement, conversions, spend, revenue, ROI/ROAS, per-influencer results). Prior outputs from performance-analyzer and roi-calculator if available.
  • Writes: a finished report in the audience-appropriate template, saved to memory/influencer/report-generator/YYYY-MM-DD-<topic>.md.
  • Promotes: durable verdicts (final ROI/ROAS, top performers, renew/drop calls, headline learnings) to memory/hot-cache.md.
  • Done when:
    1. The report matches the requested audience template (executive, client, team, or board).
    2. Every metric is paired with context (target, benchmark, or prior period).
    3. The report ends with concrete recommendations and, where relevant, action items.
  • Primary next skill: content-quality-auditor

Handoff Summary

Emit the standard shape from skill-contract.md §Handoff Summary Format.

Data Sources

This family ships Tier 1: every step works with no live integration. Give the skill the campaign metrics directly and it builds the report from your inputs.

Optional connectors that can pre-fill data where available:

  • ~~social platform analytics — reach, impressions, engagement, video views per post
  • ~~influencer database — creator handles, tiers, fees, audience demographics
  • ~~analytics — link clicks, conversions, attributed revenue
  • ~~CRM — new-customer counts and downstream revenue

Without any of these, the skill asks you for the numbers and proceeds. See CONNECTORS.md for the free/keyless data recipe per category.

Instructions

When a user requests a report:

  1. Determine report parameters — set report type (post-campaign/monthly/quarterly/annual), campaign(s), period, and audience. Match depth to the audience: executive wants ROI and strategy at a high level; client wants results and value; team wants detailed learnings and optimization; board wants business impact. See the audience-needs matrix in report-templates.md.

  2. Pick the audience template and fill it in — full executive, client, and internal-team templates live in report-templates.md. Pull metrics from performance-analyzer and roi-calculator outputs when present; otherwise ask the user for the numbers. Pair every metric with context (target, benchmark, or prior period).

  3. Apply visualization and writing guidance — choose the right chart per data point and per audience, and follow the lead-with-outcomes narrative arc. See the visualization recommendations and writing best practices in report-templates.md.

  4. Close with recommendations and action items — end every report with concrete next steps; add an owner/deadline action-items table for team and board audiences.

  5. Save and promote — write the finished report to memory/influencer/report-generator/YYYY-MM-DD-<topic>.md (paid runs to memory/ad/report-generator/). Promote durable verdicts (final ROI/ROAS, top performers, renew/drop calls, headline learnings) to memory/hot-cache.md.

Example

User: "Create an executive report for our holiday campaign: $50K spend, $165K revenue, 3.5M reach across 15 influencers"

Output (excerpt — full template in report-templates.md):

# Holiday Campaign 2024: Executive Summary

## Bottom Line: Campaign Exceeded All Targets ✅

**ROI: 230%** | **ROAS: 3.3:1** | **Revenue: $165,000**

| Metric | Target | Actual | Status |
|--------|--------|--------|--------|
| Revenue | $100K | $165K | ✅ +65% |
| ROAS | 2:1 | 3.3:1 | ✅ +65% |
| Reach | 2M | 3.5M | ✅ +75% |

### Recommendation

Increase Q1 influencer budget by 25%, focused on TikTok micro-influencers and product-demo content.

Reference Materials

Next Best Skill

Primary: content-quality-auditor — run the finished report through the publish-readiness gate before it goes to a stakeholder.

Alternates (same measure phase / influencer family):

Termination note (visited-set): if a recommended skill has already been invoked this session, stop and report the chain as complete instead of re-running it. Honor a max chain depth of 3 hops to avoid loops.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.