Agent skill

Report Generator

by aaron-he-zhu in aaron-he-zhu/aaron-marketing-skills

A skill your agent uses when the user asks to "create a campaign report", "build an executive summary", or "deliver client results"; produces audience-tailored influencer marketing reports…

Apache-2.0Auto-check passedMarketing & SEO

Install Report Generator

skills CLI
$ npx skills add aaron-he-zhu/aaron-marketing-skills --skill report-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aaron-he-zhu/aaron-marketing-skills report-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/influencer/report/report-generator .claude/skills/report-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
report-generator
GitHub stars
2.9k
Token cost
~3.6k tokens
SKILL.md length
1,326 words
Files
2 (incl. references)
Skills in repo
119
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when the user asks to "create a campaign report", "build an executive summary", or "deliver client results"; produces audience-tailored influencer marketing reports…

  • Works in 5 steps: The report matches the requested… → Every metric is paired with compatible… → The report ends with concrete… → …
  • The user asks to create a campaign report
  • SKILL.md covers Quick Start, Skill Contract, Data Sources and Instructions, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Report Generator is an agent skill from aaron-he-zhu/aaron-marketing-skills. 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. 达人营销报告/结案汇报

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/report-templates.md`). Compatibility notes: Claude Code and compatible agent-skill hosts

It sits in Marketing & SEO, covering Influencer and creator marketing and Summarization. The repository describes itself as: 120 marketing skills as an AI marketing staff — plugin, portable skills, or an 8-bot team across 7 disciplines (narrative, SEO/GEO, social, email, paid, influencer, launch) on… The licence is Apache-2.0.

When your agent uses it

  • The user asks to create a campaign report
  • Build an executive summary
  • Deliver client results
  • Produces audience-tailored influencer marketing reports (executive

Example prompts

  • “create a campaign report”
  • “build an executive summary”
  • “deliver client results”
  • “/report-generator”

Requirements

  • Compatibility (from SKILL.md): Claude Code and compatible agent-skill hosts

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. The report matches the requested audience template (executive, client, team, or board).
  2. Every metric is paired with compatible source-dated context (target, benchmark, or prior period) or explicitly marked Unknown/NEEDS_INPUT…
  3. The report ends with concrete recommendations and, where relevant, action items.
  4. When current tracker-state evidence proves measured or closed, the report package preserves the matching performance-analyzer Retro Card…
  5. Saved/copyable output contains only opaque client/preparer/contact/owner/creator refs; any resolved labels/contact details exist only in a…

What it can do on your machine

Read from SKILL.md and the folder at commit d5529cb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Claude Code and compatible agent-skill hosts

    From compatibility in the SKILL.md frontmatter.

Context cost

Report Generator loads about 3.6k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 1,326 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aaron-he-zhu/aaron-marketing-skills at commit d5529cb, republished under its Apache-2.0 licence (© aaron-he-zhu). 1,326 words, ~3,556 tokens.

Download SKILL.mdSave it as .claude/skills/report-generator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
report-generator
description
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. 达人营销报告/结案汇报
compatibility
Claude Code and compatible agent-skill hosts
slug
aaron-report-generator
displayName
Report Generator · 报告生成
summary
面向干系人的营销活动报告:叙事结构、图表建议与洞察提炼
version
20.1.0
license
Apache-2.0
homepage
https://github.com/aaron-he-zhu/aaron-marketing-skills
when_to_use
Activate after a campaign or reporting period ends and the user needs a written report for a specific stakeholder. Triggers include post-campaign wrap-ups…
argument-hint
<campaign name> [audience: executive|client|team|board]
metadata.author
aaron-he-zhu
metadata.version
20.1.0

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, opaque client_ref, preparer_ref, contact_ref, and owner_ref values when those roles appear, plus already-computed metrics with their provenance, window, target/comparator, and source artifact refs. ROI/ROAS/net-return values must come from roi-calculator, and performance deltas/rankings from performance-analyzer; raw spend plus revenue is not a computed ROI handoff. Reuse opaque creator_ref values from those artifacts, the optional tracker/stage, and an existing Campaign Retro Card. Raw client/staff/owner names, email addresses, and organization labels are transient resolver inputs only.
  • Writes: return the finished audience-appropriate report inline by default. Preserve only a current scope-bound Campaign Retro Card from performance-analyzer; if it is absent or invalid, include an unknown placeholder rather than deriving a decision. Save the report/card together to memory/influencer/report-generator/YYYY-MM-DD-<topic>.md only with exact WARM-save authorization. Every saved report, template field, appendix, and handoff uses opaque client_ref, preparer_ref, contact_ref, owner_ref, creator_ref, and artifact/source refs—never resolved client/staff/owner/creator names, organization labels, contact emails, profile URLs, or provider IDs. Resolve those refs only in-memory for one explicitly named audience's transient render, discard the resolution afterward, and never save the mapping. Any external send/share/export requires a new exact authorization naming the report artifact/version, recipient audience, delivery channel, and identity/asset refs allowed for that audience; report creation or WARM save does not authorize distribution.
  • Promotes: only with separate exact authorization, promote durable evidence-backed facts (verified final ROI/ROAS, measured performance baselines, and headline learnings) to memory/hot-cache.md. The Retro Card's qualitative renew | retest | retire | unknown decision, rationale, next hypothesis, and limitations remain WARM and are not creator-registry facts. This skill makes no creator-registry proposal: after a creator row is closed, only a separately authorized, evidence-backed actual rate, signed rights window/expiry, or measured performance baseline may be proposed by the owning workflow; creator-registry alone decides whether it becomes canonical.
  • Done when:
    1. The report matches the requested audience template (executive, client, team, or board).
    2. Every metric is paired with compatible source-dated context (target, benchmark, or prior period) or explicitly marked Unknown/NEEDS_INPUT; the report does not manufacture context or recompute missing performance/return metrics.
    3. The report ends with concrete recommendations and, where relevant, action items.
    4. When current tracker-state evidence proves measured or closed, the report package preserves the matching performance-analyzer Retro Card with exact campaign/creator/state/measurement/decision-rule refs; a missing or invalid card produces an unknown placeholder and NEEDS_INPUT, never a newly derived decision.
    5. Saved/copyable output contains only opaque client/preparer/contact/owner/creator refs; any resolved labels/contact details exist only in a transient render for the declared audience, and external distribution is blocked without a fresh audience-scoped exact authorization.
  • 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: no live integration is required. Give it already-computed, provenance-labeled campaign metrics and it builds the report. If only raw observations are supplied, route metric analysis to performance-analyzer; if only spend/revenue/LTV inputs are supplied, route return math to roi-calculator before reporting.

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 for the existing computed artifacts/metrics. It may return a partial report shell, but any missing dependent claim remains Unknown/NEEDS_INPUT; it does not calculate ROI/ROAS, rankings, attribution, or causal drivers here. See CONNECTORS.md for the free/keyless data recipe per category.

Show full SKILL.md (688 more words)Show less

Instructions

When a user requests a report:

  1. Determine report parameters — set report type (post-campaign/monthly/quarterly/annual), campaign(s), period, one explicit audience, opaque client_ref/preparer_ref/contact_ref/owner_ref values where applicable, and supplied tracker stage when present. 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. Keep any raw identity/contact locator transient. 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 performance metrics/deltas only from performance-analyzer output and financial ratios only from roi-calculator output. If the required computed artifact is absent, return a partial shell plus NEEDS_INPUT and the exact handoff; do not recompute from raw numbers. Pair every metric with compatible source-dated context or mark the comparison pending.

  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 opaque owner_ref/deadline action-items table for team and board audiences.

  5. Represent the measured cycle without re-deciding it — only preserve an existing Campaign Retro Card from performance-analyzer when it explicitly binds the same campaign_id, opaque creator_ref, current non-forked measured/closed tracker-state ref, locked measurement contract, and precommitted decision-rule ref. Never derive or change the decision in this reporting skill. If the card is absent, mismatched, or stale, emit a bound decision: unknown placeholder plus NEEDS_INPUT for the performance-analyzer artifact. Keep the card outside a client/board-facing copy unless the user requests it.

  6. Return, then offer persistence or distribution — return the ref-only report and any Retro Card inline. Offer memory/influencer/report-generator/YYYY-MM-DD-<topic>.md (or memory/ad/report-generator/ for paid runs) for exact WARM-save authorization; the saved artifact keeps client_ref, preparer_ref, contact_ref, and owner_ref unresolved. If the user requests a human-readable audience copy, resolve only the approved refs in-memory for that one explicit audience and discard the mapping after rendering. Before any external send/share/export, require a new exact authorization naming the exact report artifact/version, recipient audience, delivery channel, and allowed identity/asset refs; never infer distribution authority from report generation, transient rendering, or WARM save. Request a separate authorization before promoting any eligible durable fact to memory/hot-cache.md. After an authorized save, offer a handoff to campaign-planner to append the saved artifact reference to the relevant tracker row's evidence_refs; that tracker edit needs a fresh path-and-operation-scoped exact WARM authorization, and this skill neither edits the tracker nor advances its stage.

  7. Offer, do not launch, the next-cycle assessment — if the user wants to select the next roster, offer an explicit handoff to fit-scorer with the Retro Card's cited evidence and next_campaign_hypothesis. Do not invoke it automatically and do not translate, invent, or carry forward a STAR/SQS verdict from the qualitative Retro decision.

Example

User: "Create an executive report for Holiday Campaign 2024. roi-ref-01 already reports $50K spend, $165K attributed revenue, 230% arithmetic ROI and 3.3:1 ROAS on its declared verified basis. performance-ref-01 reports 3.5M reach across 15 opaque creator refs and calculated target deltas. The preregistered targets were $100K attributed revenue, 2:1 ROAS, and 2M reach. No segmented breakdown or reallocation rule is included."

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

markdown
# Holiday Campaign 2024: Executive Summary

## Bottom Line: Campaign Exceeded the Supplied Targets ✅

**ROI: 230% (`roi-ref-01`)** | **ROAS: 3.3:1 (`roi-ref-01`)** | **Attributed Revenue: $165,000**

Metric status: financial values and their calculation/provenance come from `roi-ref-01`; reach and target deltas come from `performance-ref-01`. This report formats those outputs and performs no return or attribution recomputation. No incremental-revenue claim is made.

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

### Recommendation

The supplied overall figures clear the supplied targets. A platform, creator-tier, content-format, or budget-change recommendation is `NEEDS_INPUT` because no segmented results or decision rule was supplied; request that evidence before proposing a Q1 reallocation.

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 report 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.

© aaron-he-zhu, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in influencer/report/report-generator of aaron-he-zhu/aaron-marketing-skills.

  • SKILL.md
  • references/report-templates.md

Open the folder on GitHubat commit d5529cb

Compare with similar skills

Report Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Report Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Report Generator this skillaaron-he-zhu/aaron-marketing-skills2.9k—~3.6kAutomated safety check: PassApache-2.0
Report Generatoraiskillstore/marketplace433—~2kAutomated safety check: PassApache-2.0
Audience ResearchScrapeCreators/social-media-research-skills3.4k—~635Automated safety check: NotesMIT
Influencer Discoverytigerless-labs/influencer-discovery212—~2.5kAutomated safety check: NotesNone
Opencloneteam-attention/openclone130—~2.6kAutomated safety check: NotesMIT
Reelclaw Adsdansugc/reelclaw145—~3.9kAutomated safety check: NotesMIT

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Categories

Questions about Report Generator

What does Report Generator do?

A skill your agent uses when the user asks to "create a campaign report", "build an executive summary", or "deliver client results"; produces audience-tailored influencer marketing reports…. Report Generator is an agent skill from aaron-he-zhu/aaron-marketing-skills. 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.

When should I use Report Generator?

Report Generator fits situations like: the user asks to create a campaign report; build an executive summary; deliver client results; produces audience-tailored influencer marketing reports (executive.

How do I install Report Generator in Claude Code?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill report-generator -a claude-code`. Or copy the skill folder (influencer/report/report-generator in aaron-he-zhu/aaron-marketing-skills) into .claude/skills/report-generator in your project. Claude Code loads it when a task matches its description.

How do I install Report Generator in Codex?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill report-generator -a codex`. Or copy the skill folder (influencer/report/report-generator in aaron-he-zhu/aaron-marketing-skills) into .agents/skills/report-generator in your project. Codex loads it when a task matches its description.

Can I use Report Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill report-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/report-generator, .gemini/skills/report-generator, .github/skills/report-generator and .opencode/skills/report-generator in your project.

What does Report Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Report Generator is instructions for the agent only. Compatibility (from SKILL.md): Claude Code and compatible agent-skill hosts.

Does Report Generator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Report Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Report Generator use?

Report Generator is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Report Generator use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.6k tokens, read only when the agent opens those files.

What are the alternatives to Report Generator?

Skills that share tags, products or a category with Report Generator: Report Generator (aiskillstore/marketplace, 433 stars), Audience Research (ScrapeCreators/social-media-research-skills, 3.4k stars), Influencer Discovery (tigerless-labs/influencer-discovery, 212 stars) and Openclone (team-attention/openclone, 130 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Report Generator?

aaron-he-zhu (a GitHub user) maintains it in aaron-he-zhu/aaron-marketing-skills, which has 2,898 GitHub stars. The repository holds 119 skills in this directory. The repository was last updated on October 11, 2026.

Source: aaron-he-zhu/aaron-marketing-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.