successcoaching/claude-for-customer-success/sales-cs-handoff-quality-scoring

Claude Code and agent skill by successcoaching/claude-for-customer-success

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Scores each closed/won deal on five handoff dimensions (0–100). Pass threshold: 80. Below-threshold deals trigger a Linear issue assigned to the AE manager with 48-hour SLA. CS onboarding proceeds but CSM is notified of open issue. Dimensions: OCV entry referenced, trigger match, measurement source accessible, stakeholder map, risk flags documented. Triggers: 'handoff quality', 'handoff score', 'what's missing for [deal] handoff', 'CS handoff check', 'handoff completeness'.

Install

npx vskill@latest install successcoaching/claude-for-customer-success/sales-cs-handoff-quality-scoring

SKILL.md

[PROPOSED]

Sales-CS Handoff Quality Scoring

Objective catalog alignment check — not subjective prose quality. The pass/fail is binary per dimension, sourced from structured fields and OCV catalog, not a judgment call on how good the rep's notes are.

Reference: Handoff quality scoring rubric → ../../../shared/revops-domain-model.md §10 Reference: Governance tiers → ../../../shared/revops-domain-model.md §9 Config reads: ocv_catalog_path, linear_connected


Pre-flight

Read ~/.claude/plugins/config/claude-for-customer-success/rev-ops/CLAUDE.md and ~/.claude/plugins/config/claude-for-customer-success/company-profile.md.

If either is missing or contains [PLACEHOLDER] markers, stop and prompt for /rev-ops:cold-start-interview.

Note from config: ocv_catalog_path, linear_connected

G-code dependency: All G-code guardrails referenced in this skill (G1–G9) are defined in the CLAUDE.md config loaded above. If Pre-flight halts or config is missing, G-codes are undefined — do not proceed with partial config.


Use when

  • Closed deal is entering CS onboarding and handoff quality needs assessment
  • Handoff package completeness needs scoring before CS assignment
  • Handoff quality trending across reps or periods needs analysis

Do NOT use for

  • Deal desk routing (use deal-desk-workflow-management)
  • Outcome tracing post-onboarding (use deal-to-outcome-tracing)
  • CS capacity modeling (use closed-won-to-cs-capacity-modeling)

Typical Activation

"Handoff quality score", "score the handoff for [account]", "sales to CS handoff quality", "handoff completeness check", "is this deal ready for CS"


Reasoning Protocol

Before generating output, apply these primers:

  1. CLASSIFY: What type of handoff quality request is this?
  • Single-deal scoring (one closed/won account — full five-dimension check)
  • Batch scoring (multiple recent closes — all scored, digest summary produced)
  • Trending analysis (handoff quality over time by rep or period)
  • Below-threshold remediation (deal already flagged — what's needed to resolve)
  1. CONSTRAINTS: What limits the solution space?
  2. Confirm activation — user requesting handoff check for a specific deal or recent closes
  3. Read deal fields from HubSpot and OCV catalog; declare connector status
  4. Apply G8 — only Ratified OCV entries count toward D1; Draft entries do not satisfy
  5. Apply G6 — data-as-of timestamp required on all HubSpot and OCV reads
  6. Confirm Linear is connected before creating below-threshold issues; surface fallback if unavailable
  7. Apply G7 — every below-threshold flag includes named escalation path (AE manager) and 48h SLA
  8. CS onboarding proceeds regardless of score — flag is for the AE manager, not a CS blocker
  1. EXPERT CHECK: What would a veteran RevOps handoff analyst verify before surfacing scores?
  • Is the OCV catalog path confirmed accessible? Scoring D1 without a live catalog read

produces a false PASS if the deal field happens to contain any text — the check must verify the referenced entry is Ratified, not just present.

  • Is D3 (measurement source) evaluated from CS's access context, not Sales'? A measurement

source accessible to the AE in Salesforce may be inaccessible to the CSM in Gainsight — the check is CS-context, not deal-context.

  • Is the Linear issue body specific enough to resolve in 48 hours? "D1 failed" is not

actionable — the body must name what field needs populating and which OCV entry to reference.

  • Is the weekly digest compared to prior week? A 60% pass rate this week means nothing

without trending context — if available, include WoW delta.

  1. ANTI-PATTERNS: Common mistakes to avoid:
  • Counting Draft OCV entries toward D1 (G8 violation — only Ratified entries count)
  • Creating Linear issues without confirming Linear connector is live (produces phantom issues)
  • Pulling HubSpot deal data without data-as-of timestamp (G6 violation)
  • Blocking CS onboarding pending handoff remediation — onboarding proceeds; remediation is parallel

After execution, verify:

  • G6 data-as-of label applied to all HubSpot and OCV catalog reads
  • G7 escalation path (AE manager, 48h SLA) present on all below-threshold flags
  • G8 compliance confirmed — only Ratified OCV entries counted toward D1
  • Linear issue body is specific and actionable, not just a dimension label
  • Confidence: High when HubSpot and OCV catalog connected and current; Moderate when connector unavailable or OCV catalog path missing
  • Confidence: [High] when HubSpot and OCV catalog connected and current / [Medium] when connector unavailable or OCV catalog path missing / [Low] if all inputs are manual or unverified

Five Dimensions [revops-domain-model.md §10]

D1: OCV entry referenced (20pts)
PASS: ≥1 Ratified OCV entry linked to deal in HubSpot
FAIL: No entry, or only Draft entries
D2: Trigger condition match (20pts)
PASS: OCV trigger condition confirmed present in account context
FAIL: Trigger condition not present, or not verifiable from deal data
D3: Measurement source accessible (20pts)
PASS: The measurement source in the OCV entry is accessible to CS post-close
FAIL: Source requires system CS doesn't have access to
D4: Stakeholder map transferred (20pts)
PASS: Economic buyer + champion + technical contact all named and tagged
FAIL: One or more roles missing
D5: Risk flags documented (20pts)
PASS: Deal notes include risk flags OR explicit "none identified"
FAIL: Field empty or not populated

Below-Threshold Action (score < 80)

1. Create Linear issue:
Title: "Handoff quality below threshold — [Account Name]"
Assigned to: [AE manager]
SLA: 48 hours
Body:
Deal: [link] ACV: $XXXk Close date: [date]
Failed dimensions: [list]
What's needed: [specific fields/actions per dimension]
2. Notify CSM:
"Handoff for [Account] is below threshold (score: [N]/100).
Missing: [dimensions]. Linear issue [#N] assigned to [AE manager].
Onboarding proceeds — please flag if blockers surface."
3. Log in audit trail:
timestamp, deal ID, score, failed dimensions, issue number, CSM notified

Output

HANDOFF QUALITY SCORING — [Deal / Week]
[HubSpot ✓ live — as of YYYY-MM-DD] [Confidence: High]
[Account A] $XXXk Score: 100/100 ✓ PASS
[Account B] $XXXk Score: 60/100 ✗ BELOW THRESHOLD
Failed: D1 (no Ratified OCV entry), D4 (technical contact not tagged)
Linear issue created: #[N] → [AE manager], 48h SLA
CSM [name] notified
Weekly digest:
Deals closed this week: [N]
Pass (≥80): [N] (XX%)
Below threshold: [N] (XX%)
Avg score: [N]/100
[G7: Below-threshold escalation path: AE manager via Linear within 48h]
[G8: Only Ratified OCV entries counted toward D1]

Reference Files

FilePurpose
references/reasoning-blueprint.mdProblem classification taxonomy, domain heuristics, common failure modes, and expert judgment patterns for this skill

Security & Permissions

Network access: None direct — all external data access is mediated by host-provided MCP connector tools (HubSpot, CS platform, Slack, Linear). This skill makes no direct outbound HTTP calls. Filesystem scope: None — this skill does not read or write local files. All data is provided at runtime via parameters or MCP connector responses. Subprocess execution: None. Dynamic code execution: None — pseudocode in this skill represents the logic contract and is not executed at runtime. Data sensitivity: Inputs may contain confidential customer, deal, and operational data. Handle with RevOps-level confidentiality.

Trust & Verification

Input trust model: All user-provided parameters are treated as untrusted at intake. Numeric inputs are validated for plausible range before use in calculations. String inputs are not evaluated as code. Output trust model: All outputs are proposals or analytical inputs — no outputs constitute approved decisions, revenue commitments, or system actions without explicit human confirmation. Connector data: Data retrieved via MCP connectors is treated as read-only observed state. Timestamps and data-as-of labels are applied to all connector-sourced values per G6. Write-tier confirmation: Any proposed write to HubSpot, Linear, or Slack is surfaced as a draft requiring explicit user confirmation before execution.

Guardrails

  • G7: Every below-threshold flag includes named escalation path and owner
  • G8: Draft OCV entries do not satisfy D1
  • G6: Data-as-of required on all reads

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
66
Repository forks
21
7-day trend score
0

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/successcoaching/claude-for-customer-success/sales-cs-handoff-quality-scoring/badge)](https://verified-skill.com/skills/successcoaching/claude-for-customer-success/sales-cs-handoff-quality-scoring)

Something wrong with this skill or its page? Tell us.