Skip to content
Automation
Skill

/pulse-monthly

Monthly community report — aggregates Discord and WhatsApp activity for the full month: MAM, growth, sentiment trends, top contributors, product insights, docs gaps, and week-over-week evolution. Generates an HTML report using the Evolution brand. Use when user says 'community

From plugin
evo-nexus
549193 skills38 agents40 commands9 MCP

Claude Code

$ npx -y skills add evolution-foundation/evo-nexus --skill pulse-monthly --agent claude-code

SKILL.md

pulse-monthly.SKILL.md
name: pulse-monthly
description: "Monthly community report — aggregates Discord and WhatsApp activity for the full month: MAM, growth, sentiment trends, top contributors, product insights, docs gaps, and week-over-week evolution. Generates an HTML report using the Evolution brand. Use when user says 'community monthly', 'monthly community report', 'monthly pulse', or any reference to monthly community analysis."

Monthly Community Report

Monthly routine that analyzes all Discord and WhatsApp activity for the month and generates a complete HTML report with trends, insights, and recommendations.

**Always respond in English.**

Workflow

Step 1 — Determine period

  • Reference month: previous month (e.g., if today is 04/01, analyze March)
  • Period: first to last day of the reference month
  • Divide the month into weeks (W1, W2, W3, W4/W5) for trend analysis

Step 2 — Collect Discord data (30 days)

Use the `/discord-get-messages` skill to fetch messages for the month in the main channels.

Guild ID: `YOUR_GUILD_ID`

Channels to monitor:

  • All community text channels (chat-pt, chat-en, chat-es, help, feedback, suggestions, showcase, news)
  • New members channel (`🆕・new-members`)

For each channel, fetch paginated messages (100 per request) until covering the full month.

Step 3 — Collect WhatsApp data (30 days)

Use the `/int-whatsapp` skill:

python3 {project-root}/.claude/skills/int-whatsapp/scripts/whatsapp_client.py messages_30d
python3 {project-root}/.claude/skills/int-whatsapp/scripts/whatsapp_client.py stats --start YYYY-MM-01 --end YYYY-MM-DD
python3 {project-root}/.claude/skills/int-whatsapp/scripts/whatsapp_client.py groups --start YYYY-MM-01 --end YYYY-MM-DD

Step 4 — Calculate monthly KPIs

1. **MAM (Monthly Active Members)**: unique members who sent a message in the month (Discord + WhatsApp) 2. **Total Messages**: Discord + WhatsApp separate and combined 3. **New Members**: entries in Discord `🆕・new-members` for the month 4. **Resolution Rate**: answered questions / total in #help (goal: >80%) 5. **Comparison**: compare all KPIs with the previous month (read previous report if it exists in `workspace/community/reports/monthly/`)

Step 5 — Weekly evolution

For each week of the month, calculate:

  • Messages
  • Active members
  • New members
  • Sentiment (positive/neutral/negative)
  • Open support tickets

Present in a table to visualize the trend throughout the month.

Step 6 — Metrics by platform

**Discord:**

  • Total messages, active members, support tickets, sentiment
  • Most active channel, most helped channel

**WhatsApp:**

  • Total messages, active groups, unique participants, sentiment
  • Most active group

Step 7 — Top contributors

Rank by message volume + answers given in #help:

  • Top 10 most active members
  • Main platform (Discord/WhatsApp)
  • Highlight (helper, active new member, topic leader)

Step 8 — Month's topics

Group all discussions by theme:

  • Top 10 most discussed topics
  • Frequency, sentiment by topic
  • Sources (Discord, WhatsApp, or both)

Step 9 — Product insights

1. **Requested features**: spontaneous feature requests (with frequency) 2. **Reported bugs**: technical problems mentioned (with frequency) 3. **Docs gaps**: recurring questions whose answers should be in the documentation

Step 10 — Sentiment trend

For each week of the month:

  • % positive, % neutral, % negative
  • Trend: improving, stable, worsening

Step 11 — Analysis and recommendations

**Analysis** (3-5 bullets):

  • Community growth or contraction
  • Engagement patterns (peak days/times)
  • Sentiment evolution
  • Support effectiveness
  • Discord vs WhatsApp: which platform is growing more?

**Recommendations** (3-5 bullets):

  • Actions to improve engagement
  • Docs to create/update
  • Features to prioritize based on feedback
  • Members to recognize/engage

Step 12 — Generate HTML report

Read the template at `.claude/templates/html/custom/community-monthly-report.html` and replace ALL `{{PLACEHOLDER}}`.

For dynamic rows, use the pattern from the other pulse skills:

**Weeks:**

<tr>
  <td>Week 1 (01-07/MM)</td>
  <td class="right">XXX</td>
  <td class="right">XX</td>
  <td class="right">X</td>
  <td class="right"><span class="badge green">Positive</span></td>
  <td class="right">X</td>
</tr>

**Top contributors:**

<tr>
  <td>Nome</td>
  <td><span class="badge blue">Discord</span></td>
  <td class="right">XXX</td>
  <td class="right">XX</td>
  <td><span class="badge green">Helper</span></td>
</tr>

**Topics:**

<div class="list-item">Topic — XX mentions, positive/mixed/negative sentiment</div>

**Features/Bugs:**

<div class="list-item">Description — X mentions (Discord/WhatsApp)</div>

**Docs gaps:**

<tr>
  <td>Recurring question</td>
  <td>Discord #help / WhatsApp</td>
  <td class="right">X times</td>
  <td><span class="badge yellow">Installation</span></td>
</tr>

Step 13 — Save

Save to:

workspace/community/reports/monthly/[C] YYYY-MM-community-monthly.html

Create the directory `workspace/community/reports/monthly/` if it does not exist.

Step 14 — Confirm

## Community Monthly generated

**File:** workspace/community/reports/monthly/[C] YYYY-MM-community-monthly.html
**Month:** {reference month}
**MAM:** {N} ({delta}%) | **Messages:** {N} | **New:** {N}
**Sentiment:** {trend} | **Resolution:** {X}%
**Highlights:** {N} features, {N} bugs, {N} docs gaps
Read more
@evolution-foundation
Ships withevo-nexus

The open source operating system for AI-powered businesses

549193 skills38 agents9 MCP
Get the whole plugin

Stars on GitHub

Momentum

stars in total
549
Star history of evolution-foundation/evo-nexus on GitHub, a chart by star-history.com

Other skills on evo-nexus.

More skills from other plugins.

agent-builder

agent-builder

Load immediately after an Agent intent, before the first agent_builder_* call. Governs how you create, configure, test, and…

n8n12d209k
@n8n-io@n8n-ioInstall Skill
browser-use

browser-use

Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…

@browser-use@browser-useInstall Skill
agent-browser

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…

@vercel-labs-2@vercel-labs-2Install Skill
add-anydoc

add-anydoc

Add local office-document-to-Markdown conversion to NanoClaw agent containers with the pinned Firecrawl AnyDoc CLI. Use when…

@nanocoai@nanocoaiInstall Skill

Questions about pulse-monthly.

Which coding agents can use pulse-monthly?
pulse-monthly installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.