Prd V08 Marketing Ops Handoff logo

Prd V08 Marketing Ops Handoff

Community
mattgierhart
prd-v08-marketing-ops-handoff

Define lifecycle stages and marketing → sales / CSM handoff rules for leads captured by GTM channels during PRD v0.8 Deployment & Ops. Triggers on requests to set up lead lifecycle, define MQL/SQL criteria, build handoff process, or when user asks "what's an MQL?", "marketing to sales handoff", "lead lifecycle", "lead routing", "RevOps", "MOPS", "marketing operations". Outputs BR-MOPS-* lifecycle rules and GTM-MOPS-* handoff flow entries.

Overview

Publishermattgierhart
RepositoryPRD-driven-context-engineering
Skill nameprd-v08-marketing-ops-handoff
Stars
179
Forks
11
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by mattgierhart on GitHub. Read the source before you install it.

Installation

Install the Prd V08 Marketing Ops Handoff AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mattgierhart/PRD-driven-context-engineering.git /tmp/PRD-driven-context-engineering
mkdir -p .claude/skills
cp -r /tmp/PRD-driven-context-engineering/plugins/prd-ce/skills/prd-v08-marketing-ops-handoff .claude/skills/prd-v08-marketing-ops-handoff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prd V08 Marketing Ops Handoff in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Prd V08 Marketing Ops Handoff on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Prd V08 Marketing Ops Handoff is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Marketing-Ops Handoff (Lead Lifecycle + Sales Routing)

Position in workflow: v0.8 Monitoring Setup → v0.8 Marketing-Ops Handoff → v0.9 Launch Channels (ORB), v0.9 Cold Outreach

Execution Mode

Default is standard. See .claude/rules/08-skill-execution-modes.md for selection logic.

ModeWhat this skill produces
quick3-stage lifecycle (Anonymous → Lead → Customer); single handoff rule; SLA per stage
standardFull 5-stage lifecycle (Anonymous → MQL → SQL → Opportunity → Customer); entry/exit criteria; handoff payload spec; SLAs
deepFull lifecycle + per-segment routing (by ICP / region / size); scoring model; rejection-loop rules; SLA monitoring + escalation

What This Does

Defines the lifecycle stages a lead passes through from first touch to customer (or churn), plus the handoff rules at each transition. Without this, marketing-captured leads get dropped, double-worked, or never followed up. With this, you have an auditable definition of who owns what at each moment.

This skill applies primarily to B2B and prosumer products with a human-touch sales motion (founder-led sales, BDR/SDR teams, customer-success-led expansion). Pure self-serve products use a simpler version: lifecycle = Anonymous → Trial → Paid, with no human handoff.

How It Works

  1. Pick the lifecycle shape — Match the product:
    • Self-serve: Anonymous → Signup → Activated → Paid → Expanded
    • Sales-assisted: Anonymous → MQL → SQL → Opportunity → Customer
    • Hybrid (PLG + Sales): Anonymous → Signup → Activated → Paid → SQL → Opportunity → Expansion
  2. Define entry criteria per stage — What event/behavior moves a lead into this stage? Examples:
    • MQL: filled out a high-intent form, downloaded gated content, hit usage threshold
    • SQL: explicit "talk to sales" or scoring threshold reached
    • Opportunity: discovery call held, budget + authority confirmed
  3. Define exit criteria per stage — Two paths out: progress (to next stage) and disqualify (back to nurture or out). Disqualification rules matter as much as progression.
  4. Map ownership — Who owns the lead at each stage:
    • Anonymous: marketing automation
    • MQL: BDR/SDR
    • SQL: AE / founder
    • Opportunity: AE / founder
    • Customer: CS / founder
  5. Define handoff payload — When a lead moves between owners, what context goes with them? At minimum:
    • Source (which GTM-* channel produced this lead)
    • Touchpoint history (what they've engaged with)
    • Best-fit signals (firmographic match, behavioral fit)
    • Disqualifiers (anything that ruled out an earlier stage)
    • Open questions (what the next owner should clarify)
  6. Set SLAs per stage — How fast must the new owner respond after handoff? MQL → BDR typically <1 business hour for high-signal, <1 business day for low-signal. SQL → AE typically <30 minutes.
  7. Plan rejection routing — When SQL → AE handoff is rejected ("not a fit"), where does the lead go? Back to nurture, disqualified, requeued? Without this rule, leads die in limbo.

Example

B2B SaaS, $200/month entry price, sales-assisted motion.

StageEntry criteriaExit criteriaOwnerSLA
AnonymousAny first touchFilled form OR signed upMarketingn/a
MQLFilled high-intent form (demo request, pricing page)BDR qualifies in OR disqualifiesBDR1 business hour
SQLBDR confirms fit + intentAE accepts OR rejectsBDR → AE30 min
OpportunityAE held discovery, budget + authority confirmedClosed-won OR closed-lostAE24 hr per touch
CustomerClosed-won contract signedChurn OR expandCSOnboarding kickoff <1 business day

Handoff payload at MQL → SQL (BDR → AE):

  • Source: GTM-002 (Product Hunt) + retargeting
  • Touchpoints: 3 blog posts, demo video, pricing page (3×)
  • Best-fit signals: 50-person SaaS (matches PER-001), VP Eng signed up
  • Disqualifiers: none
  • Open questions: confirm budget owner; confirm timeline

Rejection routing at SQL → AE rejection ("too small"): lead returns to MQL queue with "small-team" tag; BDR can re-engage in 90 days if size signal changes.

What You Get Back

  • BR-MOPS-* lifecycle rule entries — One per stage with entry/exit/owner/SLA
  • GTM-MOPS-* handoff flow entries — One per transition (MQL→SQL, SQL→OPP, etc.) with payload spec
  • Rejection-routing rules — Disqualifier-aware routing back to nurture
  • SLA monitoring plan — Hooks into MON-DRIFT-* for SLA drift watching

When to Use It

TriggerMode
B2B / sales-assisted product, pre-launchstandard
Hybrid PLG + Sales motiondeep
Pure self-serve consumer productskip — overkill
Adding human sales to existing self-servestandard
Sales velocity issues (leads dying in queue)deep (rebuild with SLAs)
Pre-Series A audit (investor wants to see process)deep

Consumes

  • PER-* best-fit characteristics (sharpened by v0.9 Positioning when available) — Defines what fit-signal scoring looks like
  • GTM-* channel mix (from v0.9 Launch Channels ORB, when available) — Lead sources feed into Anonymous stage
  • GTM-* offer card (from v0.9 Offer Construction) — Determines what "qualified" means (price tier sets bar)
  • BR-PRICING-* (from v0.3 + v0.9) — Sets stage thresholds (above $X/year → SQL; below → self-serve)
  • KPI-* baseline targets — Stage conversion targets feed into KPI- entries

When this skill runs before v0.9, channel and offer references use placeholders that get reconciled when v0.9 finalizes.

Produces

  • BR-MOPS-* entries (lifecycle stage rules) in SoT/SoT.BUSINESS_RULES.md
  • GTM-MOPS-* entries (handoff flow specs) — One per stage transition
  • CFD-* gaps surfaced — When stage criteria can't be cleanly defined, log as research gap

Output Template

BR-MOPS-XXX: Lifecycle Stage — [Stage name]
Type: Lifecycle-Stage
Order: [#]
Status: Active

Stage: [Anonymous | Signup | Activated | MQL | SQL | Opportunity | Customer | Expansion]

Entry criteria:
  - [Criterion 1 — e.g., "Filled out demo request form"]
  - [Criterion 2 — e.g., "Reached usage threshold X"]

Exit criteria (progression):
  - To [next stage]: [Criterion]

Exit criteria (disqualification):
  - [Criterion that routes back to earlier stage or out]

Owner: [Marketing automation | BDR/SDR | AE | CS | Founder]

SLA:
  Response time after entering this stage: [duration]
  Escalation: [What happens if SLA missed]

Linked IDs: PER-XXX (fit signals), GTM-YYY (source channels), BR-PRICING-ZZZ (tier threshold), KPI-AAA (conversion rate)
GTM-MOPS-XXX: Handoff — [Stage A] → [Stage B]
Type: Handoff
Status: Active

From: [Stage A] (owner: ...)
To: [Stage B] (owner: ...)

Trigger: [Specific event — e.g., "BDR marks lead as Qualified in CRM"]

Payload (what context transfers):
  - Source: [GTM-* channel]
  - Touchpoint history: [What they engaged with]
  - Best-fit signals: [Firmographic + behavioral match]
  - Disqualifiers: [Anything that ruled out earlier stages]
  - Open questions: [What new owner should clarify]

Rejection rule:
  Condition: [When does the new owner reject this handoff?]
  Routing: [Where does the rejected lead go? Nurture / disqualified / requeue]
  Re-engagement: [Conditions under which this lead can return]

SLA: [Response time required from new owner]

Linked IDs: BR-MOPS-AAA (Stage A rule), BR-MOPS-BBB (Stage B rule)

Anti-Patterns

PatternSignalFix
MQL = "anyone who filled a form"High-volume MQLs with 1% SQL conversionTighten MQL entry criteria; add fit-signal scoring
No rejection routingLeads die when SQL → AE rejectsDefine where rejected leads go (nurture, disqualified, requeue)
SLA without escalation"Respond in 1 hour" with no consequence if missedSLA must have an escalation path
Handoff without payloadNew owner asks "who is this?"Mandatory payload fields at every handoff
Stages without owners"We'll figure out who handles SQLs later"One owner per stage; named role minimum
Lifecycle for self-serve$20/month consumer product with MQL/SQL/OPPUse Signup → Activated → Paid; no human handoff
No SLA monitoringSLAs exist on paper, missed in practiceDrift-monitor SLA via MON-DRIFT-

Quality Gates

Before activating handoff:

  • Lifecycle shape matches product motion (self-serve / sales-assisted / hybrid)
  • Every stage has entry, exit-progression, and exit-disqualification criteria
  • Every stage has a named owner (role minimum)
  • Every stage has an SLA with escalation path
  • Every transition has a handoff payload spec
  • Rejection routing defined for every owner-changing handoff
  • SLA drift monitoring set up via MON-DRIFT-

Downstream Connections

ConsumerWhat it usesExample
Launch Channels (ORB)Each channel's leads enter the lifecycle at AnonymousGTM-002 (Product Hunt) → Anonymous → MQL routing
Cold Outreach (Tiered)Tier 1/2/3 sequences map to lifecycle stagesTier 1 = SQL-tier ABM; Tier 3 = MQL nurture
Launch MetricsStage conversion rates become KPI- entriesKPI-MQL-to-SQL-conversion
Feedback Loop SetupRejected leads' "why we passed" reasons feed CFD-Pattern: "too small" rejections → CFD- pricing signal
Drift MonitoringSLA drift catches process decayMON-DRIFT-MQL-response-SLA

Detailed References

  • alirezarezvani's marketing-ops and revenue-operations skills (claude-skills)
  • Predictable Revenue (Aaron Ross) — sales handoff structure
  • From Impossible to Inevitable (Aaron Ross + Jason Lemkin) — stage discipline
  • SiriusDecisions lead-lifecycle framework (the canonical B2B reference)
  • (No bundled references/ — lifecycle shapes vary; this skill encodes the discipline, not a specific shape)

Frequently asked questions

What does the Prd V08 Marketing Ops Handoff AI skill do?

Define lifecycle stages and marketing → sales / CSM handoff rules for leads captured by GTM channels during PRD v0.8 Deployment & Ops. Triggers on requests to set up lead lifecycle, define MQL/SQL criteria, build handoff process, or when user asks "what's an MQL?", "marketing to sales handoff", "lead lifecycle", "lead routing", "RevOps", "MOPS", "marketing operations". Outputs BR-MOPS-* lifecycle rules and GTM-MOPS-* handoff flow entries.

Why use Prd V08 Marketing Ops Handoff on TypingMind?

Because you install it once and use it with any model. Prd V08 Marketing Ops Handoff is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Prd V08 Marketing Ops Handoff in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/plugins/prd-ce/skills/prd-v08-marketing-ops-handoff. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Prd V08 Marketing Ops Handoff?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Prd V08 Marketing Ops Handoff?

As many as you like. As long as a model supports skills, you can use Prd V08 Marketing Ops Handoff with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prd V08 Marketing Ops Handoff AI skill free?

Yes. It is published on GitHub by mattgierhart under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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