What does this skill do, and when should you use it?
This skill is the report phase of the repository’s influencer discipline. It creates executive, client, internal-team, or board reports after a campaign or reporting period, using supplied or previously computed metrics. Outputs include data tables, audience-specific narrative, key learnings, visualization guidance, recommendations, and—when relevant—action items. It does not calculate raw performance metrics, although it can also format paid-ads reporting inputs.
Reads a campaign name, reporting period, audience, and computed reach, engagement, conversion, spend, revenue, ROI/ROAS, and per-influencer results; uses performance-analyzer and roi-calculator outputs when available; selects an executive, client, team, or board template; pairs metrics with targets, benchmarks, or prior-period context; applies chart-selection and outcome-led writing guidance; closes with recommendations and action items; saves influencer reports to memory/influencer/report-generator/YYYY-MM-DD-<topic>.md and promotes durable verdicts to memory/hot-cache.md. Paid-ads runs are saved under memory/ad/report-generator/.
- A marketing lead needs an executive summary after an influencer campaign ends.
- An agency needs a client-facing results report with campaign value and next steps.
- An influencer team needs a monthly or quarterly retrospective based on computed metrics.
- A leadership team needs a board report covering ROI/ROAS, business impact, and action items.
How do you install this skill?
- Require explicit user confirmation before writing to memory or promoting findings to HOT cache, and disclose that reports may contain budget, revenue, client, or creator data.
- The skill claims board-report support, but the supplied reference does not show a distinct board template; define the reuse rule or add one.
- Chinese output quality and connector reachability from mainland China are not established by the supplied files.
- Add structured handling for missing or inconsistent metrics, failed saves, and unavailable benchmarks.
- Local filesystem
For Claude Code, run /plugin marketplace add aaron-he-zhu/aaron-marketing-skills, then /plugin install aaron-marketing@aaron. On another Agent Skills-compatible host, run npx skills add aaron-he-zhu/aaron-marketing-skills -s aaron-report-generator; alternatively, run git clone https://github.com/aaron-he-zhu/aaron-marketing-skills and use influencer/report/report-generator/SKILL.md.
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skills.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/influencer/report/report-generator" ~/.claude/skills/
rm -rf "$tmp"Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
Use Create a campaign report for [campaign name] for [audience: executive|client|team|board]. Another supported prompt is Generate an executive summary for our Q3 influencer campaigns. Supply the reporting period, audience, and computed metrics; if numbers are missing, the skill asks for them.
What are this skill's strengths and limitations?
- Adjusts depth for executive, client, team, and board audiences.
- Requires context for every metric through targets, benchmarks, or prior periods.
- Produces narrative, data tables, visualization guidance, insights, recommendations, and action items.
- Works at Tier 1 with user-supplied data and does not require live integrations.
- Does not calculate raw metrics; it requires computed data or outputs from related skills.
- Templates and shared protocols depend on other repository files.
- The source does not document a dedicated test suite for this individual skill.
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| Influencer Campaign Report Generator this page | 44 · Not recommended | ★ 3k | 12d ago | Apache-2.0 |
| Influencer Campaign Performance Analyzer | 49 · Use with care | ★ 3k | 12d ago | Apache-2.0 |
| Influencer ROI Calculator | 60 · Recommended | ★ 3k | 12d ago | Apache-2.0 |
| Influencer Fit Scorer | 52 · Use with care | ★ 3k | 12d ago | Apache-2.0 |
| Trend Spotter | 49 · Use with care | ★ 3k | 12d ago | Apache-2.0 |
Its scope is distinct from performance-analyzer and roi-calculator: this skill structures, explains, and presents results, while those related skills provide performance analysis or ROI/ROAS calculations.
How did FollowSkills review this skill?
The skill limits inputs to user-provided campaign metrics and the repository describes private memory controls, write checks, and zero third-party dependencies. However, writes to memory and HOT cache are not gated by explicit per-action user confirmation, and sensitive-data classification, rollback, and deletion procedures are not specified, so points are deducted.
Triggers, inputs, outputs, completion criteria, and template references are reasonably clear, and missing numbers are surfaced to the user. However, there are no dedicated tests for this skill's key paths, board coverage is not fully represented by a distinct template, and abnormal-input and write-failure feedback are thin, so points are deducted.
The intended executive, client, team, and board scenarios are clear, as is the boundary that raw metric computation is out of scope; the Tier 1 path can work without connectors. However, the actual guidance is primarily English, Chinese support and mainland-China reachability are unverified, and board-to-template boundaries are incomplete, so points are deducted.
The skill provides version, Apache-2.0 licensing, author, homepage, Quick Start, templates, references, and next-skill guidance. Maintenance ownership, update path, changelog coverage, and compatibility policy are not sufficiently explicit, and important behavior depends on shared documents, so points are deducted.
The templates cover major audiences, metric context, insights, recommendations, and action items, producing directly editable Markdown. However, the skill requires complete precomputed data, does not calculate or validate metrics itself, and visualization guidance does not create actual charts; static review cannot verify final usability, so points are deducted.
The files contain concrete templates and worked examples, while repository-level tests and CI provide some general evidence. There are no dedicated key-path tests, third-party corroboration, or independently reproducible results for this skill, and the examples are author-provided, so points are deducted.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
See the full review method →