Agent skill

Reports Analytics

by sickn33 in sickn33/agentic-awesome-skills

Report register: type, source modules, owner, audience, frequency, last and next run and report link.

MITAuto-check passed

Install Reports Analytics

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill reports-analytics -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills reports-analytics --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/reports-analytics .claude/skills/reports-analytics && 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
reports-analytics
GitHub stars
47k
Used in
1 other repo
Token cost
~3.4k tokens
SKILL.md length
1,349 words
Files
1
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

Report register: type, source modules, owner, audience, frequency, last and next run and report link.

  • Works in 5 steps: Identify intent → Ask only what is missing → Hold the internal context → …
  • Reporting governance
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Field Reference, plus 9 more sections
  • Reaches json-schema.org

What it does

Reports Analytics is an agent skill from sickn33/agentic-awesome-skills. Report register: type, source modules, owner, audience, frequency, last and next run and report link. Use for reporting governance.

Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Reporting governance

Example prompts

  • “/reports-analytics”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Identify intent
  2. Ask only what is missing
  3. Hold the internal context
  4. Recommend the smallest workflow
  5. Build only on request

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. 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 yaml, csv, sql, json and markdown).

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • json-schema.org

    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.

Context cost

Reports Analytics loads about 3.4k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 1,349 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k

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 sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 1,349 words, ~3,389 tokens.

Download SKILL.mdSave it as .claude/skills/reports-analytics/SKILL.md (or your agent's skills folder).
name
reports-analytics
description
Report register: type, source modules, owner, audience, frequency, last and next run and report link. Use for reporting governance.
category
business
risk
safe
source
self
source_type
self
date_added
2026-09-26
author
WHOISABHISHEKADHIKARI
tags
sme, business, operations, database, csv, notion, sql, analyze
source_repo
WHOISABHISHEKADHIKARI/sme-ops-system-builder

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.

yaml
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 asking
Step 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.

csv
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,2026-01-15 09:30,2026-01-15 09:30,https://example.com/reports/monthly-ops,Published,
sql
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 TIMESTAMP NOT NULL,
  next_run TIMESTAMP NOT NULL,
  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);
json
{
  "$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", "format": "date-time" },
      "Next Run": { "type": "string", "format": "date-time" },
      "Report Link": { "type": "string", "format": "uri" },
      "Status": { "type": "string" },
      "Report ID": { "type": "integer" }
  },
  "required": [
      "Report Type",
      "Frequency",
      "Last Run",
      "Next Run",
      "Status"
  ]
}
markdown
| 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

#FieldTypeSQLJSON SchemaNotionCSV example
1Report NametextVARCHAR(255)stringTextMonthly Delivery Report
2Report TypeselectVARCHAR(100)stringSelect (add options after import)Operational
3Source ModulestextVARCHAR(255)stringTextPayments Received, Invoices & Billing
4OwnertextVARCHAR(255)stringTextSneha Iyer
5AudiencetextVARCHAR(255)stringTextAll employees
6FrequencyselectVARCHAR(100)stringSelect (add options after import)Daily
7Last RundatetimeTIMESTAMPstring, format: date-timeDate (include time)2026-01-15 09:30
8Next RundatetimeTIMESTAMPstring, format: date-timeDate (include time)2026-01-15 09:30
9Report LinkurlTEXTstring, format: uriURLhttps://example.com/reports/monthly-ops
10StatusselectVARCHAR(100)stringSelect (add options after import)Published
11Report IDidSERIAL PRIMARY KEYintegerText (preserve source ID)(blank)
Show full SKILL.md (494 more words)Show less

Select Options

Report Type

Operational | Financial | Management | Compliance | Custom

Frequency

Daily | Weekly | Monthly | Quarterly | Half Yearly | Annual

Status

Scheduled | Running | Published | Failed

Relations

Link fields: none

Examples

Prompt

We spend two days a month assembling reports nobody comments on.

Context first - one question per message, nothing already answered:

Q: Who reads them? A: Directors.

Q: How often? A: Monthly.

Q: How produced? A: Manually, from accounting exports.

Recommended next step - offered, not built:

Build a fixed monthly pack with a small set of numbers and one comment per number, and stop producing reports nobody reads.

Workflow: Data gathered → Metric calculated → Comment written → Circulated → Action noted

Want the CSV, SQL, JSON Schema and Notion mapping for this?

Best Practices

  • Build when requested; recommend and offer a build for advice-only requests.
  • One question per message. A batched intake reads as a form and gets guessed at.
  • Keep display names identical across CSV and JSON; document normalized SQL identifiers.
  • Use relation for anything that points at another table, text only for free text.
  • Money fields are currency, never text. Dates are date, never free text.
  • If the user requests an example row, keep it obviously fake so nobody imports it as real data.

Limitations

  • Empty template only. It does not compute payroll, tax, leave balances or KPIs.
  • Notion relations need both databases imported before the link column resolves.
  • Select options are a starting set. Rename them to match how the business talks.
  • No automation, reminders or sync. Those need the integration layer.
  • Does not gather data from source systems or verify accuracy.
  • Legal, tax and HR review is still required before this drives real decisions.

Security & Safety Notes

  • Never fill in real names, salaries, medical or banking data. Placeholders only.
  • Label example rows as synthetic, and keep bank details masked.
  • Local reads, generation commands, and validation are part of a requested artifact build. External writes, messages, provisioning, and publication require authorization for that action and target; existing explicit authorization does not need to be repeated.
  • If sensitive data is supplied, avoid repeating unnecessary identifiers. Use only what the requested review needs; keep generated templates empty. Do not claim deletion from the conversation or service storage.
  • Privacy, legal and disciplinary cases need a qualified human reviewer before anything is acted on.

Common Pitfalls

  • Problem: a static mapping is described as a completed workspace build. Solution: deliver manual mappings without a connection; claim a live change only after the authorized tool operation succeeds.
  • Problem: asked all six questions in one message. Solution: ask one, wait, and drop any the first answer already covered.
  • Problem: built a full system when one table was asked for. Solution: build what was requested; mention the parent skill separately.
  • Problem: all four artifacts drift apart. Solution: derive all four from the field list in this file, never by hand.
  • Problem: Notion import shows every column as Text. Solution: that is expected. Apply the property mapping table once, after import.
  • Module Catalog - find the relevant module, then read its skill.
  • @people-directory - the employee master record most modules link to.
  • @notification-reminder-hub - turns due dates in this module into reminders.

Reusable Prompt

I want to set up insights hub for my company.
Ask me one short question at a time, and only about what I have not already told you.
Then recommend the smallest setup that fits, and wait for me to ask before you build it.
When I ask, output CSV, SQL DDL, JSON Schema, a Notion property mapping or an Excel workbook. Data only.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/reports-analytics of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 1e53ce2

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Reports Analytics 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.

Reports Analytics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reports Analytics this skillsickn33/agentic-awesome-skills47k1 repos~3.4kAutomated safety check: PassMIT
Iot Registerruvnet/ruflo74k—~263Automated safety check: PassMIT
Es Modulesthedaviddias/Front-End-Checklist74k—~482Automated safety check: PassMIT
HTML Ppt Course Modulenexu-io/open-design100k—~1.4kAutomated safety check: PassApache-2.0
Terraform Module Librarywshobson/agents40k10 repos~1.3kAutomated safety check: PassMIT
WxJava Module Selectorbinarywang/WxJava33k—~155Automated safety check: PassApache-2.0

Similar skills

  • Iot Register

    ruvnet/ruflo

    Register a Cognitum Seed device by endpoint and establish agent bridge

    74k GitHub stars~263 tokensUpdated today
    Auto-check passed
  • Es Modules

    thedaviddias/Front-End-Checklist

    A skill your agent uses when reviewing scripts, client components, bundles, or runtime behavior related to Use ES modules (import/export).

    74k GitHub stars~482 tokensUpdated yesterday
    Auto-check passed
  • HTML Ppt Course Module

    nexu-io/open-design

    A first-30-days onboarding module for new hospitality hires — the behaviors, the practice, the checks, and the manager follow-up.

    100k GitHub stars~1.4k tokensUpdated today
    Documents & OfficeAuto-check passed
  • Build reusable, tested Terraform modules for AWS, Azure, GCP and OCI, with a standard file layout, an AWS VPC example, versioning rules and Terratest checks.

    40k GitHub starsUsed in 10 repos~1.3k tokens
    DevOps & CloudAuto-check passed
  • WxJava Module Selector

    binarywang/WxJava

    Recommends which WxJava Maven module, BOM and example entry point fits a given WeChat product and server setup, from official accounts to payments.

    33k GitHub stars~155 tokensUpdated 11 days ago
    Backend & APIsAuto-check passed
  • Agile Product Owner

    davila7/claude-code-templates

    Agile product ownership toolkit for Senior Product Owner including INVEST-compliant user story generation, sprint planning, backlog management, and velocity tracking.

    32k GitHub starsUsed in 2 repos~256 tokens
    Product & Project ManagementAuto-check passed

More from sickn33/agentic-awesome-skills

All 1,394 skills in this repo
  • Liuguang Banlan UI

    sickn33/agentic-awesome-skills

    Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • User Thoughts Memory

    sickn33/agentic-awesome-skills

    Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • Using LWC Memory and Graphs

    sickn33/agentic-awesome-skills

    Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.

    47k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed
  • Find Complementary Founders

    sickn33/agentic-awesome-skills

    Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.

    47k GitHub starsUsed in 1 repo~4.8k tokens
    Auto-check passed
  • Whatsapp Cloud API

    sickn33/agentic-awesome-skills

    Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.

    47k GitHub starsUsed in 2 repos~4.5k tokens
    Auto-check passed
  • Cline Pilot

    sickn33/agentic-awesome-skills

    Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.

    47k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed

Questions about Reports Analytics

What does Reports Analytics do?

Report register: type, source modules, owner, audience, frequency, last and next run and report link. Reports Analytics is an agent skill from sickn33/agentic-awesome-skills. Report register: type, source modules, owner, audience, frequency, last and next run and report link.

When should I use Reports Analytics?

Reports Analytics fits situations like: reporting governance.

How do I install Reports Analytics in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill reports-analytics -a claude-code`. Or copy the skill folder (skills/reports-analytics in sickn33/agentic-awesome-skills) into .claude/skills/reports-analytics in your project. Claude Code loads it when a task matches its description.

How do I install Reports Analytics in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill reports-analytics -a codex`. Or copy the skill folder (skills/reports-analytics in sickn33/agentic-awesome-skills) into .agents/skills/reports-analytics in your project. Codex loads it when a task matches its description.

Can I use Reports Analytics 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 sickn33/agentic-awesome-skills --skill reports-analytics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reports-analytics, .gemini/skills/reports-analytics, .github/skills/reports-analytics and .opencode/skills/reports-analytics in your project.

What does Reports Analytics need to run?

SKILL.md names no scripts, command-line tools or credentials: Reports Analytics is instructions for the agent only.

Does Reports Analytics access the network?

SKILL.md names 1 domain. In commands or code: json-schema.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Reports Analytics 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 Reports Analytics use?

Reports Analytics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reports Analytics use?

About 3.4k 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.

What are the alternatives to Reports Analytics?

Skills that share tags, products or a category with Reports Analytics: Iot Register (ruvnet/ruflo, 74k stars), Es Modules (thedaviddias/Front-End-Checklist, 74k stars), HTML Ppt Course Module (nexu-io/open-design, 100k stars) and Terraform Module Library (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reports Analytics?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.