octavehq/abm

/octave:abm - Account Planner

Create comprehensive account plans for target accounts by combining deep research, stakeholder mapping, persona matching, and coordinated outreach — all grounded in your library's Motion ICP cells and proof points.

Usage

/octave:abm <company> [--stakeholders <N>] [--motion <name>] [--depth quick|full]

Examples

/octave:abm acme.com                                      # Full account plan
/octave:abm acme.com --stakeholders 5                     # Map top 5 stakeholders
/octave:abm acme.com --motion "Enterprise Expansion"      # Scope to a specific Motion's ICP matrix
/octave:abm acme.com --depth quick                        # Quick assessment only
/octave:abm "Acme Corp"                                   # Search by company name

Instructions

When the user runs /octave:abm:

Step 1: Identify Target Account

Parse input:

• Domain (e.g., acme.com) → Use directly
• Company name → Search for domain
• LinkedIn URL → Extract domain

If company name provided without domain:

find_company({ name: "<company_name>" })

Step 2: Deep Account Research

# Full company enrichment
enrich_company({ companyDomain: "<domain>" })

# Qualify against ICP
qualify_company({
  companyDomain: "<domain>",
  additionalContext: "Evaluate fit against all segments. Identify which segment, use cases, and Motion ICP cells are most relevant."
})

Step 3: Stakeholder Mapping

# Find decision makers and influencers
# Use persona titles from library to guide search
list_entities({ entityType: "persona" })

# Search for stakeholders matching each persona
find_person({
  searchMode: "people",
  companyDomain: "<domain>",
  fuzzyTitles: ["<titles from persona 1>"],
  limit: <stakeholders_param or 3>
})

# Repeat for other relevant personas if needed
find_person({
  searchMode: "people",
  companyDomain: "<domain>",
  fuzzyTitles: ["<titles from persona 2>"],
  limit: 3
})

For each key stakeholder found:

# Enrich top stakeholders
enrich_person({
  person: {
    firstName: "<first>",
    lastName: "<last>",
    companyDomain: "<domain>"
  }
})

# Qualify against personas
qualify_person({
  person: {
    firstName: "<first>",
    lastName: "<last>",
    companyDomain: "<domain>",
    jobTitle: "<title>"
  },
  additionalContext: "Match to our buyer personas. Identify their likely role in a buying decision (champion, evaluator, economic buyer, blocker)."
})

Step 4: Match Motion ICP Cell and Gather Intelligence

# Find the right Motion for this account (offering + motion type)
list_motions()

# See the persona × segment matrix for the matched Motion
list_motion_icps({ motionOId: "<motion_oId>" })

# Fetch the narrative for the target persona × segment cell
find_motion_icp({ motionIcpOId: "<motion_icp_oId>", includeLearnings: true })

# Find relevant proof points (industry, size match)
search_knowledge_base({
  query: "<company industry> <company size> results case study",
  entityTypes: ["proof_point", "reference"]
})

# Check for competitive context
search_knowledge_base({
  query: "<company name> <any tech stack signals>",
  entityTypes: ["competitor"]
})

# Check for any existing conversation history
list_events({
  startDate: "<365 days ago>",
  filters: {
    companyDomains: ["<domain>"]
  }
})

Step 5: Generate Account Plan

See account-plan-template.md for the full account plan output template.

Step 6: Generate Initial Outreach (if requested)

For the recommended entry point stakeholder:

generate_email({
  person: {
    firstName: "<first>",
    lastName: "<last>",
    companyDomain: "<domain>",
    jobTitle: "<title>"
  },
  numEmails: 4,
  sequenceType: "COLD_OUTBOUND",
  allEmailsContext: "Account plan context: [company signals, persona match, Motion ICP narrative, proof points]",
  allEmailsInstructions: "Personalized to [company] specifically. Reference [relevant signals]. Use [proof points] progressively."
})

MCP Tools Used

Research

• enrich_company - Deep company intelligence
• enrich_person - Stakeholder background
• qualify_company - ICP fit scoring
• qualify_person - Persona matching
• find_person - Stakeholder discovery
• find_company - Company lookup by name

Library Context

• list_entities (persona) - Get persona definitions for stakeholder matching
• list_motions - List all Motions in the workspace
• list_motion_icps - List Motion ICP cells (persona × segment intersections) for a Motion
• find_motion_icp - Full Motion ICP cell narrative (Target ICP overview, Operating landscape, Strategic narrative, Pains and consequences, Benefits and impacts, Methodology, References) plus Learning Loop learnings
• search_knowledge_base - Proof points, references, competitive intel
• list_events - Existing conversation history with account

Content Generation

• generate_email - Outreach sequences (Step 6)

Error Handling

Company Not Found:

Couldn't find "[input]".

Try:

1. Provide the company's website domain (e.g., acme.com)
2. Check spelling
3. Search by name: I'll look it up

No Stakeholders Found:

No contacts found at [Company] matching your personas.

Options:

1. Broaden the search (search all titles, not just persona matches)
2. Search for specific titles you know
3. Proceed with company-level plan only

Low ICP Score:

[Company] scored [X/100] against your ICP.

This is below typical qualification thresholds. Continue anyway? Or:

1. Find similar companies with better fit
2. See why the score is low and if any signals are missing
3. Proceed with adjusted expectations

Related Skills

• /octave:research - Deep-dive on a specific stakeholder
• /octave:campaign - Generate multi-channel campaign for this account
• /octave:battlecard - Competitive intel if competitor detected
• /octave:pipeline - Deal-level strategy after engagement starts
• /octave:prospector - Find more accounts like this one