magnus919/agent-skills/conditional-customer-success/SKILL.md
conditional-customer-success
Guide recurring human-relationship practices — success plans, health evidence, renewal and expansion signals, QBRs, handoffs, escalation, and closed-loop Voice of Customer. Do not use this skill for products without accounts, renewals, QBRs, or a customer-success team, including some internal tools, pure transactional products without recurring relationships, and public services without account-based engagement. Load only when the product context includes a recurring human relationship; decline
- Source repository stars
- 34
- Declared platforms
- 0
- Static risk flags
- 0
- Last source update
- 2026-08-06
- Source checked
- 2026-08-06
Decision brief
What it does—and where it fits
A CONDITIONAL skill for products with recurring human relationships. This skill must never be loaded for every product context. It loads only when the product has accounts, renewals, QBRs, or a dedicated customer-success team. When those conditions are absent — for internal tool…
Not for
- This skill must not be loaded for products without accounts, renewals, QBRs, or a customer-success team. See the should-not-trigger examples below.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/magnus919/agent-skills --skill "conditional-customer-success"Inspect the Agent Skill "conditional-customer-success" from https://github.com/magnus919/agent-skills/blob/a4db8e7d4350816f02515bac12d91c8050db1e58/conditional-customer-success/SKILL.md at commit a4db8e7d4350816f02515bac12d91c8050db1e58. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
Quarterly Business Review (QBR) Structure
A QBR is an evidence review, not a sales presentation. The structure:
Success-plan review — progress against desired outcomes, milestoneHealth evidence — each dimension, its signal, trend, and confidence.Adoption evidence — feature adoption, activation trends, sustained-use - 02
When to Load (Should-Trigger Examples)
Review the “When to Load (Should-Trigger Examples)” section in the pinned source before continuing.
Review and apply the “When to Load (Should-Trigger Examples)” source section. - 03
When not to use
This skill must not be loaded for products without accounts, renewals, QBRs, or a customer-success team. See the should-not-trigger examples below.
This skill must not be loaded for products without accounts, renewals, QBRs, or a customer-success team. See the should-not-trigger examples below. - 04
When NOT to Load (Should-Not-Trigger Examples)
This skill must not load when the product context lacks the required preconditions. The skill must decline and route the caller away.
This skill must not load when the product context lacks the required preconditions. The skill must decline and route the caller away.Decline rule: If none of the should-trigger conditions are present — that is, the product has no accounts, no renewals, no QBRs, and no customer-success team — this skill must decline with an applicability assessment th… - 05
Product/Relationship Models
This skill defines when customer-success practice applies and what adaptations are needed for four distinct models. None assumes SaaS.
Success plans focus on repeat-purchase patterns and re-order outcomes, notHealth evidence uses purchase frequency, order-value trends, and accountQBRs become periodic business reviews triggered by purchase milestones or
Permission review
Static risk signals and limitations
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 91/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 34 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- magnus919/agent-skills
- Skill path
- conditional-customer-success/SKILL.md
- Commit
- a4db8e7d4350816f02515bac12d91c8050db1e58
- License
- MIT
- Collected
- 2026-08-06
- Default branch
- main
View the original SKILL.md
Conditional Customer Success
A CONDITIONAL skill for products with recurring human relationships. This skill must never be loaded for every product context. It loads only when the product has accounts, renewals, QBRs, or a dedicated customer-success team. When those conditions are absent — for internal tools, pure transactional products, or public services without account-based engagement — this skill declines and routes the caller away.
When to Load (Should-Trigger Examples)
| Example | What makes it a match |
|---|---|
| B2B subscription product with named account managers | Accounts, renewals, dedicated CS team |
| Enterprise SaaS with quarterly business reviews | QBR cadence, account-tier engagement |
| Renewal-risk analysis needed for a contract portfolio | Renewal evidence, churn-risk signals |
| Product with an assigned customer-success team managing health plans | Success plans, health tracking |
| Account-expansion opportunity identified but adoption signals are mixed | Expansion with relationship context |
| Customer feedback loop — insight surfaced, product change made, customer communication needed | Closed-loop Voice of Customer |
When not to use
This skill must not be loaded for products without accounts, renewals, QBRs, or a customer-success team. See the should-not-trigger examples below.
When NOT to Load (Should-Not-Trigger Examples)
This skill must not load when the product context lacks the required preconditions. The skill must decline and route the caller away.
| Example | Why it does not apply |
|---|---|
| Internal developer tool with no accounts, no renewals, no QBRs | No recurring human relationship; no CS team |
| Pure transactional e-commerce product — one-time purchases, no account management | No accounts, no renewals, no QBRs, no CS team |
| Public-service benefit-application portal — no account-tier engagement, no CS team | No accounts (in the CS sense), no renewals, no QBRs |
| Consumer mobile game with subscription billing but no human CS relationship | Subscription alone is insufficient; no human CS relationship |
| Open-source project with community support but no paid accounts | No accounts, no renewals, no CS team |
| Internal analytics dashboard for a single team | No recurring relationship outside the team; no CS team |
Decline rule: If none of the should-trigger conditions are present — that is, the product has no accounts, no renewals, no QBRs, and no customer-success team — this skill must decline with an applicability assessment that records which preconditions were absent and routes the caller to the nearest appropriate skill (product-analytics-and-measurement, product-adoption, or product-lifecycle-learning).
Product/Relationship Models
This skill defines when customer-success practice applies and what adaptations are needed for four distinct models. None assumes SaaS.
1. B2B Subscription
Applies fully. Accounts, renewals, QBRs, expansion tiers, and a dedicated customer-success team are the canonical fit. All artifacts apply: success plans, health/risk records, escalation paths, handoff protocols, and closed-loop feedback.
2. Transactional (Non-Subscription)
Partial application — adapted. The product may have repeat customers and account relationships without formal subscriptions. CS adaptations:
- Success plans focus on repeat-purchase patterns and re-order outcomes, not subscription renewal dates.
- Health evidence uses purchase frequency, order-value trends, and account engagement signals — not MRR or churn metrics.
- QBRs become periodic business reviews triggered by purchase milestones or account tier, not calendar dates.
- Escalation triggers on declining purchase frequency or account dormancy.
3. Public Service
Minimal application — routing preferred. Public-service products often have citizens or beneficiaries, not "accounts." CS applies only when there is explicit account-based engagement (e.g., a case-management portal).
- Success plans become service-outcome plans, not commercial plans.
- Health evidence uses service-access equity, completion-rate gaps across cohorts, and accessibility barriers — never commercial metrics.
- Escalation routes to program governance, not commercial leadership.
- Privacy boundaries are stricter: citizen data must not be repurposed. See references/privacy-and-human-judgment.md.
When no account-based engagement exists, decline and route to product-adoption (for service-adoption diagnostics) and product-analytics-and-measurement (for service-outcome measurement).
4. Internal Product
Conditional — strong routing preference. Internal products may have "internal customers" (other teams, business units), but CS applies only when there is a recurring human relationship with structured engagement.
- Success plans become internal service-level agreements, not commercial plans.
- Health evidence uses internal adoption, workflow-completion, and time-saved metrics — never revenue or MRR.
- QBRs become internal service reviews, structured around team outcomes.
- Escalation routes to internal governance, not commercial leadership.
When the internal product has no recurring human relationship (e.g., a single-team analytics dashboard), decline and route to product-adoption or product-lifecycle-learning.
Core Artifacts
Every artifact is a decision-support tool, never an automated decision.
1. Applicability Decision
Before applying any customer-success method, produce an applicability assessment. If the product context lacks accounts, renewals, QBRs, or a CS team, decline and route the caller away. Record which preconditions were absent.
Template: templates/applicability-decision.md
2. Success Plan
A structured record of the customer's desired outcomes, aligned product capabilities, measurable milestones, and assigned relationship owner. Not a sales plan; not a support ticket; not a project plan. The success plan is the living artifact that connects customer intent to product evidence.
Template: templates/success-plan.md
3. Health / Risk Record
An evidence-based record — never an automated score. For each health dimension, capture:
- The signal (observable evidence, not a proxy metric).
- The source (analytics, adoption, direct observation).
- The trend (direction and recency).
- The confidence (how reliable the evidence is).
- Conflicting signals (surface disagreement, not a forced consensus).
Template: templates/health-risk-record.md
4. Escalation Path
A defined path from signal to decision-maker, with explicit human-judgment gates. Every escalation requires a human decision before action. The path defines:
- The trigger signal and its threshold.
- The escalation owner (named role, not a system).
- The review cadence.
- The decision options (and who makes each).
- The fallback if no decision is reached.
Template: templates/escalation-and-feedback-closure.md
5. Handoff Protocols
Defined handoffs to product, support, and engineering teams with clear ownership boundaries:
| Handoff | Trigger | Receiving Team | Artifact |
|---|---|---|---|
| Feature request from customer evidence | Validated pattern across ≥3 accounts | Product | Success-plan extract + health evidence |
| Support escalation | Blocking issue with account impact | Support | Escalation record with account context |
| Technical defect with account risk | Reproducible bug affecting ≥1 account | Engineering | Defect record + account-impact assessment |
| Churn risk requiring lifecycle action | Sustained health decline, 2+ remediation attempts failed | Product-lifecycle-learning | Health/risk record + remediation history |
6. Closed-Loop Feedback Closure
The path from customer insight to product change to customer communication:
Customer Insight → Validate (pattern? isolated?) →
Product Decision (build / defer / decline) →
Implementation → Communication Back to Customer →
Close Loop (record evidence)
Every step is recorded. "Communication Back to Customer" is mandatory — closing the loop means the customer knows what happened with their feedback. See templates/escalation-and-feedback-closure.md.
Privacy and Human Judgment Boundaries
These boundaries are non-negotiable.
Customer Feedback Must Not Become Surveillance
- Feedback is collected with consent and a stated purpose.
- Usage is limited to the stated purpose.
- Aggregation is permitted for pattern detection; individual-level behavior tracking beyond the stated purpose is not.
- Customer data shared across teams is scoped to the minimum necessary.
Health Scores Are Decision-Support, Not Automated Decisions
- A health signal is evidence; it never becomes an automated action (no auto-churn, no auto-escalation without human review).
- Conflicting signals must be surfaced, not averaged into a single score.
- The health/risk record includes confidence and provenance for every signal.
Human Judgment Is Required for Escalation Decisions
- Every escalation trigger requires a human decision before any action.
- The escalation path defines who decides, on what evidence, with what options.
- A "no decision" state has a defined fallback — escalate further, not auto-act.
Privacy Boundaries Around Customer Data
- Customer-identifiable data is never embedded in templates shared outside the CS team.
- Health evidence uses anonymized or aggregated signals when shared across teams.
- Data retention and access are governed by the product's privacy policy, not the CS practice.
See references/privacy-and-human-judgment.md for the full boundaries reference.
Routing and Related Skills
This skill routes to specialist skills rather than re-deriving their methodology. All routing references use relative paths to existing directories, or prose references for skills not yet landed.
Routes to (existing skills)
| Skill | What it owns | How this skill consumes it |
|---|---|---|
| ../product-analytics-and-measurement/SKILL.md | Metric trees, tracking plans, instrumentation QA, measurement governance | Provides health evidence and metric definitions for health/risk records |
| ../product-adoption/SKILL.md | Onboarding, activation, behavior change, feature discovery, sustained use | Provides adoption signals (activation, feature adoption, sustained use) as health dimensions |
| ../product-experimentation/SKILL.md | Experiment design, readout, ship/no-ship decisions | Consumed when CS evidence suggests an experiment (e.g., intervention test for at-risk accounts) |
| ../go-to-market/SKILL.md | Acquisition campaigns, marketing conversion | Does NOT own. CS consumes acquisition context only. |
| ../crm/SKILL.md | HubSpot CRM operations — contact records, deal pipeline views, confirmed deal stage changes | Provides account records and pipeline/health context for health/risk records and QBR preparation |
Routes to (prose references — skills not yet landed)
| Skill | What it owns | How this skill routes to it |
|---|---|---|
| product-lifecycle-learning | Retirement communication plans, customer treatment during sunset, migration-support coordination, churn-pattern learning across the portfolio | Escalates sustained health decline (2+ remediation attempts failed) for lifecycle action. Routes churn and sunset signals for portfolio-level learning. |
Does NOT own
- Statistical inference or experiment design — belongs to
data-scientistandproduct-experimentation. - Product-analytics instrumentation — belongs to
product-analytics-and-measurement. - Acquisition, marketing conversion, or campaign design — belongs to
go-to-market. - Product roadmapping or portfolio prioritization — belongs to
product-roadmapping-and-portfolio. - Customer support operations or ticket management — belongs to support-tooling skills.
- Contract negotiation, pricing, or legal terms — belongs to
go-to-marketand legal-strategy skills.
File Map
| File | Purpose | Load when |
|---|---|---|
| references/discovery-brief.md | Maps existing related content, ownership boundaries, and routing decisions | First load — required context |
| references/privacy-and-human-judgment.md | Full privacy and human-judgment boundaries, surveillance-risk guidance, consent framework | Privacy or judgment question arises |
| templates/applicability-decision.md | Structured applicability assessment — decline or proceed with evidence | Customer-success method considered for any product |
| templates/success-plan.md | Customer success plan with desired outcomes, milestones, evidence gates | Building or reviewing a success plan |
| templates/health-risk-record.md | Evidence-based health/risk record with signal, source, trend, confidence, and conflicting-signal tracking | Health review, QBR prep, renewal-risk analysis |
| templates/escalation-and-feedback-closure.md | Escalation path definition and closed-loop feedback closure record | Escalation design or feedback-loop operation |
QBR and Engagement Cadence
Quarterly Business Review (QBR) Structure
A QBR is an evidence review, not a sales presentation. The structure:
- Success-plan review — progress against desired outcomes, milestone achievement.
- Health evidence — each dimension, its signal, trend, and confidence. Conflicting signals presented, not averaged.
- Adoption evidence — feature adoption, activation trends, sustained-use patterns (from product-adoption evidence).
- Risk review — open risks, mitigation status, escalation history.
- Forward plan — next-period success-plan adjustments, expansion opportunities (routed to go-to-market for commercial motion), and risk-mitigation actions.
- Feedback loop status — open feedback items, product decisions made, communication-back status.
Triggering QBRs Outside B2B Subscription
For non-subscription models, QBRs are triggered by events, not calendar dates:
| Model | QBR Trigger |
|---|---|
| Transactional | Purchase-milestone threshold, account-tier change, or 6-month dormancy |
| Public Service | Service-review cycle, equity-gap detection, or accessibility-audit result |
| Internal Product | Internal service-review cycle, team-reorg, or adoption decline |
Output Contract
- An applicability decision recorded before any CS method is applied.
- A success plan with desired outcomes, milestones, evidence gates, and a named relationship owner.
- A health/risk record with evidence per dimension, not a score.
- An escalation path with explicit human-judgment gates.
- A closed-loop record tracing customer insight → product decision → customer communication.
- Handoff records to product, support, or engineering with account context and evidence.