reports-analytics – Marketing & SEO skill for AI agents
Report register: type, source modules, owner, audience, frequency, last and next run and report link. Use for reporting governance.
Install the reports-analytics skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/reports-analytics-dae7b.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /reports-analytics – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/reports-analytics-dae7b.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $reports-analytics – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/reports-analytics-dae7b.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /reports-analytics – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/reports-analytics-dae7b.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /reports-analytics – then describe the task you want done.
SKILL.md content
Reports & Analytics
What it is: Insights hub.
Overview
Works out the smallest useful Reports & Analytics setup for the business in front of it, then
builds it only when asked. The default output is a short recommendation, not a
spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on
request, from one field list so they cannot drift apart.
Layer: Layer 9: Analyze. Fits: Scale stage. Table code: n/a.
When to Use This Skill
- report builder
- analytics report template
- periodic report tracker
- insight reports
Also use it when the user says "insights hub", or describes the same process happening in a
spreadsheet, a document or someone inboxes.
Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces
empty templates only - it never holds or processes real employee or customer data.
How It Works
Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.
Step 1 - Identify intent
Read the request and pick the intent before asking anything.
- "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
- "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
- "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
- "how do I ..." -> advice question; answer directly and offer the build only if it helps.
Ask only if this is the highest-value missing fact; otherwise proceed without an opener:
> Q: Who reads the reports you produce now?
Step 2 - Ask only what is missing
Skip anything the user already answered, in any earlier message. Ask the rest one at a
time, and stop as soon as the remaining answers would not change the output.
- Readers - Who reads them? / How often? / Monthly or weekly?
- Content - Which numbers? / Comparisons included? / Any narrative?
- Data - Sources available? / Who prepares it? / How long does it take?
- Current process - How produced now? / Manual effort? / Is it trusted?
- Outcome - What do you need? / A report set, a template or the underlying data?
Never invent an answer. If the user does not know, record it as unknown and carry on.
Step 3 - Hold the internal context
Hold the answers in this shape. It stays internal - it is not shown to the user unless
they ask, and it never carries a value the user did not give.
module: reports-analytics
intent: null # setup | advice | review | fix | build | convert | export
scale: null # Starter | Growth | Scale, only if the answer changes it
areas:
"Readers": null
"Content": null
"Data": null
"Current process": null
"Outcome": null
requested_outputs: [] # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: [] # only what the user actually said
open_questions: [] # the unanswered ones, in the order worth askingStep 4 - Recommend the smallest workflow
If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.
Recommended approach: Build a fixed monthly pack with a small set of numbers and one comment per number, and stop producing reports nobody reads.
Why this one: Reporting effort goes into formatting, not analysis. A fixed template plus a comment per metric is the smallest useful version.
Workflow: Data gathered → Metric calculated → Comment written → Circulated → Action noted
Step 5 - Build only on request
Once the user asks for it, derive the fields from the confirmed context and emit the
requested artifacts. For machine-readable text, keep prose outside the data; for files,
provide a usable link. Report material validation failures or limitations separately.
**A selected Notion output is rendered by notion-manual-import, so route the
Notion step there.** When the user selects Notion, hand that step to
@notion-manual-import: it holds the CSV, the property
mapping, the import steps and the verification checklist, and it renders the Field
Reference below instead of defining a table of its own. Do not restate the mapping
here and do not improvise the import steps. Manual CSV and mapping outputs need no
connection. For requested workspace changes, follow the shared contract: verify actual
tool access and the target before writing. A user saying "connected" is not tool evidence.
Never ask for a Notion password or token.
For an Excel-compatible CSV, use UTF-8 with a byte order mark so Excel opens the
text correctly. A CSV is not an .xlsx workbook; create .xlsx only when the user
requests a workbook.
A CSV carries no types, so after it, name the columns
that need a number, date or currency format applied.
Report Name,Report Type,Source Modules,Owner,Audience,Frequency,Last Run,Next Run,Report Link,Status,Report ID
Monthly Delivery Report,Operational,"Payments Received, Invoices & Billing",Sneha Iyer,All employees,Daily,2026-01-15T09:30:00Z,2026-01-15T09:30:00Z,https://example.com/reports/monthly-ops,Published,CREATE TABLE reports_analytics (
report_name VARCHAR(255),
report_type VARCHAR(100) NOT NULL,
source_modules VARCHAR(255),
owner VARCHAR(255),
audience VARCHAR(255),
frequency VARCHAR(100) NOT NULL,
last_run TIMESTAMPTZ,
next_run TIMESTAMPTZ,
report_link TEXT,
status VARCHAR(100) NOT NULL,
report_id SERIAL PRIMARY KEY,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
);
CREATE INDEX idx_reports_analytics_status ON reports_analytics (status);{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "Reports & Analytics",
"type": "object",
"additionalProperties": false,
"properties": {
"Report Name": { "type": "string" },
"Report Type": { "type": "string" },
"Source Modules": { "type": "string" },
"Owner": { "type": "string" },
"Audience": { "type": "string" },
"Frequency": { "type": "string" },
"Last Run": { "type": ["string", "null"], "format": "date-time" },
"Next Run": { "type": ["string", "null"], "format": "date-time" },
"Report Link": { "type": "string", "format": "uri" },
"Status": { "type": "string" },
"Report ID": { "type": "integer" }
},
"required": [
"Report Type",
"Frequency",
"Status"
]
}| CSV column | Notion property | Set after import |
|---|---|---|
| Report Name | Title | Use as the database title |
| Report Type | Select (add options after import) | Convert to Select, add options: "Operational", "Financial", "Management", "Compliance", "Custom" |
| Source Modules | Text | Leave as Text |
| Owner | Text | Leave as Text |
| Audience | Text | Leave as Text |
| Frequency | Select (add options after import) | Convert to Select, add options: "Daily", "Weekly", "Monthly", "Quarterly", "Half Yearly", "Annual" |
| Last Run | Date (include time) | Convert to Date (include time) |
| Next Run | Date (include time) | Convert to Date (include time) |
| Report Link | URL | Convert to URL |
| Status | Select (add options after import) | Convert to Select, add options: "Scheduled", "Running", "Published", "Failed" |
| Report ID | Text (preserve source ID) | Keep imported IDs as Text; optionally add a separate Unique ID property |The rows above are documentation examples only. Emit empty templates unless the user explicitly requests examples. Money stays currency, dates stay date,
and anything pointing at another table stays relation.
Field Reference
| # | Field | Type | SQL | JSON Schema | Notion | CSV example |
|---:|---|---|---|---|---|---|
| 1 | Report Name | text | VARCHAR(255) | string | Text | Monthly Delivery Report |
| 2 | Report Type | select | VARCHAR(100) | string | Select (add options after import) | Operational |
| 3 | Source Modules | text | VARCHAR(255) | string | Text | Payments Received, Invoices & Billing |
| 4 | Owner | text | VARCHAR(255) | string | Text | Sneha Iyer |
| 5 | Audience | text | VARCHAR(255) | string | Text | All employees |
| 6 | Frequency | select | VARCHAR(100) | string | Select (add options after import) | Daily |
| 7 | Last Run | datetime | TIMESTAMPTZ | string or null, format: date-time | Date (include time) | 2026-01-15T09:30:00Z |
| 8 | Next Run | datetime | TIMESTAMPTZ | string or null, format: date-time | Date (include time) | 2026-01-15T09:30:00Z |
| 9 | Report Link | url | TEXT | string, format: uri | URL | https://example.com/reports/monthly-ops |
| 10 | Status | select | VARCHAR(100) | string | Select (add options after import) | Published |
| 11 | Report ID | id | SERIAL PRIMARY KEY | integer | Text (preserve source ID) | (blank) |
Select Options
**Report T
… (full content is in the download package)
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