pipeline-manager - SKILL.md Agent Skill

name: pipeline-manager description: "Manage the sales pipeline: add/update prospects, score with FIT+INTENT+TIMING, track stage transitions, generate status reports. Central orchestrator for all pipeline skills. For signal detection, see signal-scanner. For outreach execution, see outreach-sender." user-invocable: true

[YOUR_PRODUCT] Context

Before helping, read MEMORY.md for: current wedge, ICP, competitors, PMF stage. Pipeline state lives in memory/pipeline.json. Read it at the start of every pipeline operation. Output in Russian (company names, emails, scores in original). For chat platforms: compact pipeline card, max 15 lines.

Pipeline Manager

Central orchestrator for the full-cycle sales pipeline. Manages prospect state, scoring, stage transitions, and reporting.

Pipeline State

All prospect data lives in memory/pipeline.json. Structure:

{
  "prospects": [{
    "id": "company-slug",
    "company": "Company Name",
    "domain": "company.com",
    "contact": {
      "name": "Full Name",
      "title": "VP Engineering",
      "email": "name@company.com",
      "linkedin": "linkedin.com/in/username"
    },
    "scores": {
      "fit": 0,
      "intent": 0,
      "timing": 0,
      "total": 0
    },
    "stage": "signal_detected",
    "signals": [],
    "outreach": [],
    "next_action": { "type": "", "date": "", "detail": "" },
    "notes": "",
    "created": "ISO",
    "updated": "ISO"
  }],
  "stats": {
    "total": 0,
    "by_stage": {},
    "last_scan": "",
    "last_review": ""
  }
}

Operations

1. Add Prospect

When a new prospect is identified (via signal-scanner, manual, or inbound):

Check if prospect already exists in pipeline.json (match by domain)
If new: create entry with initial data, set stage = signal_detected
Score using FIT+INTENT+TIMING (see Scoring below)
Route based on score:
- 75+: Notify CEO immediately via Telegram. Tag as priority.
- 50-74: Queue for agent-drafted outreach
- 25-49: Add to nurture list
- <25: Monitor, re-score next month
Log via structured-log

2. Update Prospect

When new information arrives (enrichment, reply, meeting):

Read current prospect state from pipeline.json
Update relevant fields
Re-score if new signals detected
Advance stage if transition criteria met
Set next_action with date and detail
Write back to pipeline.json

3. Stage Transitions

signal_detected → researched → qualified → outreach_sent →
follow_up_1 → follow_up_2 → follow_up_3 →
meeting_booked → discovery_done → proposal_sent →
closed_won | closed_lost | nurture

Transition triggers:

signal_detected → researched: company-intel + person-lookup + lead-enrichment completed
researched → qualified: FIT+INTENT+TIMING score calculated, ≥25
qualified → outreach_sent: CEO approved draft, email sent via outreach-sender
outreach_sent → follow_up_N: Automatic by cadence (Day 3/5/7/10)
Any → meeting_booked: Reply with meeting intent received
meeting_booked → discovery_done: After call + discovery-debrief completed
discovery_done → proposal_sent: Proposal or demo delivered
Terminal: closed_won, closed_lost, nurture

4. Pipeline Report

Generate a pipeline status report. Use for weekly reviews or on-demand.

Report contents:

Total prospects by stage (funnel visualization)
Top 5 highest-scored prospects with next actions
Stale prospects (>7 days without activity)
Conversion rates between stages (if enough data)
Signals detected this week vs last week
Outreach stats: sent, replied, bounced, meetings booked

Telegram format:

Pipeline Report [date]:
[N] total | [N] active | [N] stale

Top prospects:
1. Company (score) — stage — next action
2. ...

This week: [N] signals, [N] outreach, [N] replies
Conversion: signal→meeting [X]%

FIT+INTENT+TIMING Scoring

FIT (0-40) — ICP Match

Factor	Points	Criteria
Company size	0-10	Score against the size bands in your ICP from MEMORY.md (e.g. sweet spot=10, adjacent=5, edge=2)
Use-case complexity	0-10	Score against the complexity profile that matches your wedge (e.g. high=10, medium=7, low=3)
Tool maturity	0-10	Active in the category=10, evaluating=7, greenfield=3
Budget authority	0-10	VP+ contact=10, team lead=7, IC=3

INTENT (0-40) — Active Buying Signals

Signal	Points
Pain language (public)	8-10
Competitor evaluation	8-10
Active hiring (AI/DevTools)	6-8
Tech stack changes	6-8
Published content on pain	5-6
Event attendance	3-5

TIMING (0-20) — Window Open

Factor	Points
Funding (<90 days)	8-10
Hiring surge	5-8
Leadership change	5-7
Quarter start	3-5
Signal freshness (<7d)	5

Score Routing

Score	Action
75-100	CEO direct outreach, personalized demo
50-74	Agent drafts, CEO approves
25-49	Nurture sequence
0-24	Monitor, re-score monthly

Self-Optimization (Weekly Review)

During weekly pipeline-review:

Calculate conversion rates by stage
Identify which signal types → highest reply rates
Identify which outreach templates → highest reply rates
Flag patterns: "Funding signal + CTO contact → 3x better than hiring signal + IC"
Recommend weight adjustments for next week
Log insights via structured-log, promote to MEMORY.md if confirmed 2+ times

Related Skills

signal-scanner — detects signals that feed into pipeline
outreach-sender — executes outreach from pipeline
meeting-prep — prepares for meetings with pipeline prospects
prospect-demo — generates [YOUR_PRODUCT] demos for prospects
founder-sales — sales strategy and discovery framework
sales-qualification — qualification framework
structured-log — logging pipeline events
hypothesis-tracker — tracking outreach template hypotheses