Marketing Campaign Reporter

Report generator

by aaron-he-zhu · Apache-2.0 license · ★ 2,858 on GitHub · v20.1.0

Report generator cover

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…

---
name: report-generator
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"
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'
version: "20.1.0"
license: Apache-2.0
compatibility: "Claude Code and compatible agent-skill hosts"
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, executive or board summaries, client-facing results decks, internal team retrospectives, and monthly or quarterly performance reports. Pick this when the inputs are already-computed metrics that need structure, narrative, and recommendations for a named audience."
argument-hint: "<campaign name> [audience: executive|client|team|board]"
metadata: {"author": "aaron-he-zhu", "version": "20.1.0", "discipline": "influencer", "phase": "report", "geo-relevance": "low", "hermes": {"tags": ["marketing", "influencer", "report"], "category": "influencer"}, "openclaw": {"emoji": "📣", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# 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.

Overview

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.

Manual install (npx, ZIP)
Claude Codenpx skills add aaron-he-zhu/aaron-marketing-skills --skill report-generator -g -a claude-code
Claude Code (degit)npx degit aaron-he-zhu/aaron-marketing-skills/influencer/report/report-generator#main ~/.claude/skills/report-generator
Claude.ai / desktopZip the folder and upload it under Settings → Capabilities → Skills.
Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

Files included

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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.

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):

# 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.

1---
2name: report-generator
3slug: aaron-report-generator
4displayName: "Report Generator · 报告生成"
5summary: "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"
6description: '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'
7version: "20.1.0"
8license: Apache-2.0
9compatibility: "Claude Code and compatible agent-skill hosts"
10homepage: "https://github.com/aaron-he-zhu/aaron-marketing-skills"
11when_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, executive or board summaries, client-facing results decks, internal team retrospectives, and monthly or quarterly performance reports. Pick this when the inputs are already-computed metrics that need structure, narrative, and recommendations for a named audience."
12argument-hint: "<campaign name> [audience: executive|client|team|board]"
13metadata: {"author": "aaron-he-zhu", "version": "20.1.0", "discipline": "influencer", "phase": "report", "geo-relevance": "low", "hermes": {"tags": ["marketing", "influencer", "report"], "category": "influencer"}, "openclaw": {"emoji": "📣", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
14---
15 
16# Report Generator
17 
18This 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.
19 
20> **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](../roi-calculator/SKILL.md)). Save paid runs under `memory/ad/report-generator/`.
21 
22## Quick Start
23 
24Shortest invocation:
25 
26```
27Create a campaign report for [campaign name] for [audience: executive/client/team]
28```
29 
30Common scenario:
31 
32```
33Generate an executive summary for our Q3 influencer campaigns
34```
35 
36## Skill Contract
37 
38- **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](../roi-calculator/SKILL.md), and performance deltas/rankings from [performance-analyzer](../performance-analyzer/SKILL.md); 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.
39- **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.
40- **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](../../../protocol/creator-registry/SKILL.md) alone decides whether it becomes canonical.
41- **Done when**:
42 1. The report matches the requested audience template (executive, client, team, or board).
43 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.
44 3. The report ends with concrete recommendations and, where relevant, action items.
45 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.
46 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.
47- **Primary next skill**: [content-quality-auditor](../../../seo-geo/tune/content-quality-auditor/SKILL.md)
48 
49### Handoff Summary
50 
51> Emit the standard shape from [skill-contract.md §Handoff Summary Format](../../../references/skill-contract.md).
52 
53## Data Sources
54 
55This 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.
56 
57Optional connectors that can pre-fill data where available:
58 
59- `~~social platform analytics` — reach, impressions, engagement, video views per post
60- `~~influencer database` — creator handles, tiers, fees, audience demographics
61- `~~analytics` — link clicks, conversions, attributed revenue
62- `~~CRM` — new-customer counts and downstream revenue
63 
64Without 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](../../../CONNECTORS.md) for the free/keyless data recipe per category.
65 
66## Instructions
67 
68When a user requests a report:
69 
701. **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](references/report-templates.md).
71 
722. **Pick the audience template and fill it in** — full executive, client, and internal-team templates live in [report-templates.md](references/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.
73 
743. **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](references/report-templates.md).
75 
764. **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.
77 
785. **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.
79 
806. **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](../../target/campaign-planner/SKILL.md) 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`.
81 
827. **Offer, do not launch, the next-cycle assessment** — if the user wants to select the next roster, offer an explicit handoff to [fit-scorer](../../scout/fit-scorer/SKILL.md) 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.
83 
84## Example
85 
86**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."
87 
88**Output** (excerpt — full template in [report-templates.md](references/report-templates.md)):
89 
90```markdown
91# Holiday Campaign 2024: Executive Summary
92 
93## Bottom Line: Campaign Exceeded the Supplied Targets ✅
94 
95**ROI: 230% (`roi-ref-01`)** | **ROAS: 3.3:1 (`roi-ref-01`)** | **Attributed Revenue: $165,000**
96 
97Metric 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.
98 
99| Metric | Target | Actual | Status |
100|--------|--------|--------|--------|
101| Attributed revenue | $100K | $165K | ✅ +65% |
102| ROAS | 2:1 | 3.3:1 | ✅ +65% |
103| Reach | 2M | 3.5M | ✅ +75% |
104 
105### Recommendation
106 
107The 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.
108```
109 
110## Reference Materials
111 
112- [report-templates.md](references/report-templates.md) — full executive/client/team templates, visualization recs, writing best practices, worked example
113- [skill-contract.md](../../../references/skill-contract.md) — shared contract and handoff format
114- [state-model.md](../../../references/state-model.md) — memory tiers and save-path convention
115- [CONNECTORS.md](../../../CONNECTORS.md) — free/keyless data recipes per connector category
116- [performance-analyzer](../performance-analyzer/SKILL.md) — generates the metrics this report consumes
117- [roi-calculator](../roi-calculator/SKILL.md) — supplies ROI/ROAS figures
118- [campaign-planner](../../target/campaign-planner/SKILL.md) — original plan to compare results against
119- [content-amplifier](../../activate/content-amplifier/SKILL.md) — amplification results to report on
120- [content-quality-auditor](../../../seo-geo/tune/content-quality-auditor/SKILL.md) — quality gate for the report itself
121 
122## Next Best Skill
123 
124**Primary**: [content-quality-auditor](../../../seo-geo/tune/content-quality-auditor/SKILL.md) — run the finished report through the publish-readiness gate before it goes to a stakeholder.
125 
126**Alternates (same report phase / influencer family)**:
127 
128- [performance-analyzer](../performance-analyzer/SKILL.md) — if the report exposes data gaps, re-analyze before re-reporting.
129- [roi-calculator](../roi-calculator/SKILL.md) — recompute return figures if the financial inputs changed.
130 
131**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.
132 
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Details

Version
20.1.0
License
Apache-2.0
Stars on the repo
★ 2,858
Checked
Source
aaron-he-zhu/aaron-marketing-skills ↗
Creator
aaron-he-zhu · 99 listings
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SkillAd Test Designeraaron-he-zhu/aaron-marketing-skills · by aaron-he-zhuUse when the user asks to "design an A/B test", "set up a creative/landing test", "run an incrementality test", or "is this result statistically and practically material?"; produces a hypothesis, variant matrix, sample-size/duration/power plan, and a documented effect/uncertainty read from own exported results. It applies only a precommitted owner-approved action rule; the statistical helper never chooses a business action. Not for producing variants — use ad-creative-builder; not for reading back one shipped change — use paid-measurement-loop. 广告AB测试设计/实验设计/显著性判定/增效测试★ 2.9k GitHub starsSkillAdvocacy Program Designeraaron-he-zhu/aaron-marketing-skills · by aaron-he-zhuUse when the user asks to "design an employee advocacy program", "set up founder-led sharing", or "build a share kit for the team"; produces an advocacy program blueprint in two modes — participation-driven opt-in (default) or top-down assigned with its coercion and authenticity risks flagged — with a voluntary opt-in roster spec submitted as channel-registry proposal events, share kits with mandatory per-person variation, staggered human posting windows plus anti-pod guardrails (no coordinated identical reshares, no engagement rings), per-person material-connection disclosure lines per FTC and 《互联网广告管理办法》, and a Slack/Teams distribution spec. Not for paid creator campaigns — use campaign-planner. 员工倡导/创始人IP分享/内部分享计划/披露合规★ 2.9k GitHub starsSkillBuyer Belief Mapperaaron-he-zhu/aaron-marketing-skills · by aaron-he-zhuUse when the user asks to "map what our buyers believe", "capture the objections we keep hearing", or "find the switching forces that move the beachhead"; produces a belief map of the beachhead — held beliefs and mental models, the recurring objections and their reframes, and the JTBD four forces (push of the problem, pull of the new, anxiety of switching, habit of the present) — each item sourced from interviews or win-loss notes (User-provided) and labeled Measured / User-provided / Estimated, with any unverified quote or comparative claim marked "[needs source]" and routed to the claims candidates, never adjudicated here. Not for demographic or persona profiling — use audience-mapper; not for the positioning canvas — use positioning-truth-tracer. 受众信念/异议地图/切换四力/流失语言★ 2.9k GitHub starsSkillTarget Audience Profileraaron-he-zhu/aaron-marketing-skills · by aaron-he-zhuUse when the user asks to "analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", or "deep-dive a subculture before partnering with creators"; in audience mode produces demographic/psychographic profiles, a platform-priority matrix, named personas, and an influencer-selection criteria set, and in niche mode produces a community map, culture decode (language/norms/taboos), key-voice tiers, a Brand Fit Score, and a phased entry strategy. Not for finding specific creators to contract — use influencer-discovery; not for scoring a shortlist on Suitability — use fit-scorer. 目标受众画像/人群分析 · 细分社群/亚文化调研★ 2.9k GitHub starsSkillAudience Segment Builderaaron-he-zhu/aaron-marketing-skills · by aaron-he-zhuUse when the user asks to "build audience segments from my customer list", "make value-based / lookalike seed lists", "set up exclusion / suppression segments", or "map audiences to funnel stages across platforms"; turns the user''s OWN customer/CRM/GA4 export into seed audiences, value-based lookalike SEED lists, exclusion/suppression segments, and a cross-platform funnel-stage targeting map, informing the ROAS A (Audience) dimension. Not for building account structure or match types — use campaign-architect; not for organic SERP intent — use keyword-research. 付费广告受众分群/种子人群/排除人群/相似人群种子★ 2.9k GitHub starsSkillBrand Voice Codifieraaron-he-zhu/aaron-marketing-skills · by aaron-he-zhuUse when the user asks to "codify our brand voice", "define naming rules for our products and tiers", or "write the tone-of-voice guide with banned phrases"; produces the brand-level voice canon (register, tone spectrum, banned-phrase list, few-shot examples drawn only from the brand''s own published material) and the naming tax (product / feature / tier naming rules plus approved and banned terms) that seeds the narrative-registry canon and that every channel''s voice adaptation points up to. Not for per-platform voice adaptation — use channel-registry''s voice-dossier; not for finished copy or blog posts — use content-writer; not for the message hierarchy itself — use message-system-architect; not for claim adjudication — use offer-claims-registry. 品牌语气/词汇表/命名税/禁用词/品牌语言规范★ 2.9k GitHub stars