Predictable RevenueCAUTION
Wondel.ai Agent Skills — Business, Marketing, UX & Coding Frameworks from Bestselling Books. 50 skills + 12 guided journeys for Claude Code, Codex, Cursor & other agentskills.io agents.
Overview
Wondel.ai Agent Skills — Business, Marketing, UX & Coding Frameworks from Bestselling Books. 50 skills + 12 guided journeys for Claude Code, Codex, Cursor & other agentskills.io agents.
c502026d022aOBSERVED · 2026-10-10What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: predictable-revenue
description: 'Build a scalable outbound B2B sales machine with specialized roles (SDR, AE, CSM). Use when the user mentions "outbound sales", "Cold Calling 2.0", "cold email sequences", "sales pipeline", "SDR process", "sales development", "build an outbound sales team", or "fill my pipeline". Also trigger when setting up a B2B SaaS sales team from scratch or building a lead-qualification framework to improve close rates. Covers the three lead types (seeds/nets/spears), role specialization, the referral-email method, ANUM qualification, and pipeline math. For offer design, see hundred-million-offers. For persuasion science, see influence-psychology.'
license: MIT
metadata:
author: wondelai
version: "1.4.0"
---
# Predictable Revenue Framework
A systematic approach to building a scalable, predictable B2B sales machine — the outbound prospecting system that helped Salesforce add $100M in recurring revenue.
## Core Principle
**Predictable lead generation drives predictable revenue.** The biggest mistake in sales is having the same people prospect AND close — specialization creates a repeatable, scalable machine. Traditional cold calling is dead; Cold Calling 2.0 (mass, personalized cold emails that generate referrals to the right person) is the new outbound.
## Scoring
**Goal: 10/10.** Score a sales process 0-10 by awarding 2 points for each of the five [Quick Diagnostic](#quick-diagnostic) rows it satisfies (prospecting/closing separated, defined outbound process, 3-month pipeline predictability, known lead-type mix, standardized SDR→AE handoff). Bands: **9-10** = role separation plus a repeatable process that predicts pipeline; **5-6** = some specialization but ad-hoc prospecting or unpredictable pipeline; **≤3** = one person prospects and closes, revenue depends on heroics. Always give the current score and the specific diagnostic rows blocking 10/10.
## The Three Types of Leads
**Not all leads are equal — treat them differently.**
| Type | Source | Conversion | Cost | Example |
|------|--------|------------|------|---------|
| **Seeds** | Word of mouth, referrals, organic | Highest | Lowest (takes time) | Customer referral, NPS-driven |
| **Nets** | Marketing campaigns, inbound | Medium | Medium | Content, SEO, webinars |
| **Spears** | Outbound prospecting | Lower but predictable | Higher (people-intensive) | Cold Calling 2.0 |
**Key insight:** Most companies over-invest in nets and under-invest in spears; seeds are the best but can't be manufactured quickly. Invest accordingly — customer success and referral programs (seeds), content and paid acquisition (nets), SDR team (spears).
See [references/lead-types.md](references/lead-types.md) when deciding where to invest — it sizes the seeds/nets/spears budget split by company stage.
## Sales Role Specialization
**The #1 principle: separate prospecting from closing.** When AEs prospect and close, they hate prospecting and pipeline becomes feast-or-famine.
| Role | Focus | Metrics |
|------|-------|---------|
| **SDR (Sales Development Rep)** | Outbound prospecting → qualified opportunities | Qualified meetings/month |
| **MDR (Market Development Rep)** | Inbound lead qualification | Qualified leads/month |
| **AE (Account Executive)** | Close deals | Revenue closed, win rate |
| **CSM (Customer Success Manager)** | Retain and grow accounts | Retention, expansion revenue |
### SDR (Sales Development Rep)
Generate qualified pipeline: research target accounts, send Cold Calling 2.0 emails, get referred to the right person, qualify with ANUM, pass to AEs. Not their job: closing, inbound leads, or existing customers. One SDR typically generates 10-20 qualified opportunities per month — measure opportunities, response rate, meetings booked, and pipeline value.
### AE (Account Executive)
Close deals from qualified pipeline: run discovery, demo, negotiate, close, hand off to CSM. Not their job: prospecting (SDR), inbound qualification (MDR), or post-sale management (CSM). Measure revenue closed, win rate, average deal size, and sales cycle length.
### CSM (Customer Success Manager)
Retain and grow accounts: onboard, drive adoption, surface expansion opportunities, prevent churn. Measure net revenue retention, churn rate, expansion revenue, and NPS/CSAT.
**The virtuous cycle:** SDR generates pipeline → AE closes → CSM retains/grows → happy customer refers (Seeds).
See [references/roles.md](references/roles.md) when defining a new role or org chart — it has full charters, career paths, and hiring profiles for each role.
## Cold Calling 2.0
**Outbound prospecting that replaces traditional cold calling**, which fails on every front: 1-3% connection rate, gatekeepers, brand damage, no scalability.
```
1. Build list → 2. Send mass email → 3. Get referral → 4. Call the referral → 5. Qualify
```
### Step 1: Build Target Account List
Define your Ideal Customer Profile (company size, industry, tech stack, geography, pain points), then build the list via LinkedIn Sales Navigator, ZoomInfo/Apollo/Clearbit, or industry directories. Target 200-500 accounts per SDR per quarter.
### Step 2: The Referral Email
**The core innovation: don't email the decision maker — email above them and ask for a referral down.** Senior people forward emails, and referrals get 3-5x higher response because the introduction comes from inside the company. The email asks one thing — "who is the right person?" — under 100 words, no pitch, no attachments, no links, easy to forward. Response rate: 9-15% vs. 1-3% for traditional cold emails. For the verbatim template, subject-line open-rate table, and the full Day 1/3/7/14/30 sequence bodies, open [references/cold-calling-2.md](references/cold-calling-2.md).
### Step 3: Follow Up
| Day | Action |
|-----|--------|
| 1 | Send referral email |
| 3 | Follow up if no response |
| 7 | Second follow-up (different angle) |
| 14 | Break-up email ("Should I close your file?") |
| 30 | RTrust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (5)
.agents/skills/37signals-way
.agents/skills/architecture-optimization
.agents/skills/blue-ocean-strategy
.agents/skills/clean-architecture
.agents/skills/clean-code
Gates applied: no_behavioural_pass.
c502026d022afull audit observations/trust-audit/skill/wondelai__predictable-revenue.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-10 | c502026d022a | CAUTION | B | 89 | first audit |
Questions
What does the Predictable Revenue skill do?
Wondel.ai Agent Skills — Business, Marketing, UX & Coding Frameworks from Bestselling Books. 50 skills + 12 guided journeys for Claude Code, Codex, Cursor & other agentskills.io agents.
Is Predictable Revenue safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Predictable Revenue access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (c502026d022a), read on 2026-10-10. The repository is watched, and a new audit runs when it changes — this is the first audit.