report-generator
GitHub生成达人营销及付费广告的专业报告,适配高管、客户或内部团队视角。基于已计算指标编写叙事与建议,不执行原始数据运算。
触发场景
安装
npx skills add aaron-he-zhu/aaron-marketing-skills --skill report-generator -g -y
SKILL.md
Frontmatter
{
"name": "report-generator",
"slug": "aaron-report-generator",
"license": "Apache-2.0",
"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",
"homepage": "https:\/\/github.com\/aaron-he-zhu\/aaron-marketing-skills",
"metadata": {
"phase": "report",
"author": "aaron-he-zhu",
"hermes": {
"tags": [
"marketing",
"influencer",
"report"
],
"category": "influencer"
},
"version": "20.1.0",
"openclaw": {
"emoji": "📣",
"homepage": "https:\/\/github.com\/aaron-he-zhu\/aaron-marketing-skills"
},
"discipline": "influencer",
"geo-relevance": "low"
},
"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",
"displayName": "Report Generator · 报告生成",
"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]",
"compatibility": "Claude Code and compatible agent-skill hosts"
}
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 undermemory/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, andowner_refvalues 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 opaquecreator_refvalues 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 anunknownplaceholder rather than deriving a decision. Save the report/card together tomemory/influencer/report-generator/YYYY-MM-DD-<topic>.mdonly with exact WARM-save authorization. Every saved report, template field, appendix, and handoff uses opaqueclient_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 qualitativerenew | retest | retire | unknowndecision, 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:
- The report matches the requested audience template (executive, client, team, or board).
- 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. - The report ends with concrete recommendations and, where relevant, action items.
- When current tracker-state evidence proves
measuredorclosed, 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 anunknownplaceholder andNEEDS_INPUT, never a newly derived decision. - 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:
-
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_refvalues 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. -
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-analyzeroutput and financial ratios only fromroi-calculatoroutput. If the required computed artifact is absent, return a partial shell plusNEEDS_INPUTand the exact handoff; do not recompute from raw numbers. Pair every metric with compatible source-dated context or mark the comparison pending. -
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.
-
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. -
Represent the measured cycle without re-deciding it — only preserve an existing Campaign Retro Card from
performance-analyzerwhen it explicitly binds the samecampaign_id, opaquecreator_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 bounddecision: unknownplaceholder plusNEEDS_INPUTfor the performance-analyzer artifact. Keep the card outside a client/board-facing copy unless the user requests it. -
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(ormemory/ad/report-generator/for paid runs) for exact WARM-save authorization; the saved artifact keepsclient_ref,preparer_ref,contact_ref, andowner_refunresolved. 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 tomemory/hot-cache.md. After an authorized save, offer a handoff to campaign-planner to append the saved artifact reference to the relevant tracker row'sevidence_refs; that tracker edit needs a fresh path-and-operation-scoped exact WARM authorization, and this skill neither edits the tracker nor advances itsstage. -
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
- report-templates.md — full executive/client/team templates, visualization recs, writing best practices, worked example
- skill-contract.md — shared contract and handoff format
- state-model.md — memory tiers and save-path convention
- CONNECTORS.md — free/keyless data recipes per connector category
- performance-analyzer — generates the metrics this report consumes
- roi-calculator — supplies ROI/ROAS figures
- campaign-planner — original plan to compare results against
- content-amplifier — amplification results to report on
- content-quality-auditor — quality gate for the report itself
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):
- performance-analyzer — if the report exposes data gaps, re-analyze before re-reporting.
- roi-calculator — recompute return figures if the financial inputs changed.
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.
版本历史
-
3840622
当前 2026-09-03 10:14
新增跨学科控制工件运行时支持
-
2e8d35d
2026-08-28 12:19
发布20.0.0版本,重新定位为AI Staff,统一技能与发布门控标准。
- 8ebe52f 2026-08-20 02:01
- bc7d62d 2026-07-25 08:08


