t0ddc3by/claude-for-customer-success/deal-classification
Claude Code and agent skill by t0ddc3by/claude-for-customer-success
- community
Checking that the SKILL.md file is still in the repository.
Independently scores each open opportunity as Commit / Best Case / Pipeline using CRM activity data — without relying on rep self-reporting. Surfaces delta vs. rep's stated forecast category when classification disagrees by more than one tier. Triggers: 'deal classification', 'classify the pipeline', 'commit vs best case', 'independent forecast', 'override rep call'.
Install
npx vskill@latest install t0ddc3by/claude-for-customer-success/deal-classificationSKILL.md
[PROPOSED]
Deal Classification
Classifies open opportunities using CRM activity signals, not rep self-reporting. Disagrees with rep calls only when evidence is clear — flags the delta, doesn't override.
Reference: Confidence bands → ../../../shared/revops-domain-model.md §2 Config reads: primary_segment, avg_sales_cycle_days
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: primary_segment, avg_sales_cycle_days
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
- Deal needs to be classified by type (New ARR, Expansion, Renewal, Reactivation) for ARR reporting accuracy and pipeline routing
- ARR classification is disputed or ambiguous for a specific opportunity
- Closed-won deal classification needs verification before CS handoff
Do NOT use for
- Deal health or risk scoring (use deal-health-scoring)
- Revenue recognition decisions (classification is analytical input only)
- Bulk ARR reporting (classification feeds reporting but does not produce it)
Typical Activation
"Classify this deal", "what type of ARR is [deal]", "is this new or expansion", "deal classification for [account]", "verify ARR classification"
Classification routing
Deal type determines pipeline ownership and tracking destination:
- New ARR / Reactivation → Sales-owned pipeline; tracks to Sales new-logo forecast
- Expansion → CS-owned pipeline; tracks to CS expansion pipeline and CS deal desk for commercial terms; routes to
pipeline-coverage-analysisfor CS expansion attainment - Renewal → CS-owned pipeline; tracks to CS renewal book of business and GRR monitoring
Classification is the routing mechanism. An Expansion or Renewal classification means CS leadership and CS ops own the downstream tracking — not Sales.
Reasoning Protocol
Before generating output, apply these primers:
- CLASSIFY: What type of deal classification request is this?
- Single deal scoring (one opportunity, independent signal)
- Portfolio classification sweep (rep / segment / all open pipeline)
- Call validation (rep's stated category vs. model signal)
- Closed-won verification before CS handoff
- CONSTRAINTS: What limits the solution space?
- Confirm activation — user wants independent deal scoring or call validation
- Check HubSpot for activity data — required for classification; declare fallback if absent
- Apply G5 — classification is analytical input; rep and manager own the judgment
- Apply G6 — surface data-as-of on all activity reads
- Do not present classification as override — present as independent signal
- EXPERT CHECK: What would a veteran RevOps analyst verify first?
- Is HubSpot activity data fresh enough to score? Stale data produces misleading signals — declare data age before presenting classification.
- Is the scoring model applied consistently across all deals in a sweep? Rep-specific exceptions undermine portfolio-level credibility.
- Is the delta between rep call and model call surfaced clearly without editorializing? The analyst's job is to flag — rep and manager own the resolution.
- Is the classification being used in a forecast context? If so, G1 forecast language qualification is required before the output leaves RevOps.
- ANTI-PATTERNS: Common mistakes to avoid:
- Presenting model classification as a forecast override (G5 violation)
- Surfacing classification output without data-as-of timestamp (G6 violation)
- Running a portfolio sweep without declaring scope (segment, rep, date range)
- Omitting the G1 forecast qualification when classification feeds a leadership or board view
After execution, verify:
- G5 analytical input qualifier present on all outputs
- G6 data-as-of label applied to all HubSpot reads
- Delta column populated when rep call and model call diverge
- Confidence: High when HubSpot is connected and activity data is current; Moderate when data is stale or connector is unavailable
- Confidence: [High] when HubSpot is connected and activity data is current / [Medium] when data is stale or connector is unavailable / [Low] if all inputs are manual or unverified
Scoring Dimensions (20 points each, total 100)
| Dimension | Commit signal | Best Case signal | Pipeline signal | |
|---|---|---|---|---|
| Activity recency | Contact in ≤7 days | Contact in 8–21 days | No contact >21 days | |
| Stakeholder coverage | EB + Champion + TC all engaged | 2 of 3 engaged | 1 or fewer engaged | |
| Stage progression rate | On or ahead of historical avg | 0–25% behind avg | >25% behind avg | |
| Competitive signal | No active competitor / counter-play logged | Competitor mentioned, response logged | Competitor active, no response | |
| Rep forecast accuracy | Rep's trailing commit accuracy ≥70% | 50–70% | <50% |
Classification:
- 80–100 → Commit
- 55–79 → Best Case
- <55 → Pipeline
Output
Reference Files
| File | Purpose | |
|---|---|---|
references/reasoning-blueprint.md | Problem 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 deal and pipeline 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
- G5: Always include: "This classification is an analytical input based on CRM
signals. The rep and their manager own the forecast judgment."
- G6: Data-as-of timestamp required
- G1: If summary is used in a forecast context, apply forecast language qualification
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
- SKILL.md in the repositoryCheckingrev-ops/skills/deal-classification/SKILL.md
Popularity
- Repository stars
- 62
- Repository forks
- 21
- 7-day trend score
- 21
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
[](https://verified-skill.com/skills/t0ddc3by/claude-for-customer-success/deal-classification)