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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…

Best for

    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

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    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.

    Source-detected install commandSource
    npx skills add https://github.com/magnus919/agent-skills --skill "conditional-customer-success"
    Safe inspection promptEditorial

    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

    1. 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
    2. 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.
    3. 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.
    4. 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…
    5. 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

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score91/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars34SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated 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)

    ExampleWhat makes it a match
    B2B subscription product with named account managersAccounts, renewals, dedicated CS team
    Enterprise SaaS with quarterly business reviewsQBR cadence, account-tier engagement
    Renewal-risk analysis needed for a contract portfolioRenewal evidence, churn-risk signals
    Product with an assigned customer-success team managing health plansSuccess plans, health tracking
    Account-expansion opportunity identified but adoption signals are mixedExpansion with relationship context
    Customer feedback loop — insight surfaced, product change made, customer communication neededClosed-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.

    ExampleWhy it does not apply
    Internal developer tool with no accounts, no renewals, no QBRsNo recurring human relationship; no CS team
    Pure transactional e-commerce product — one-time purchases, no account managementNo accounts, no renewals, no QBRs, no CS team
    Public-service benefit-application portal — no account-tier engagement, no CS teamNo accounts (in the CS sense), no renewals, no QBRs
    Consumer mobile game with subscription billing but no human CS relationshipSubscription alone is insufficient; no human CS relationship
    Open-source project with community support but no paid accountsNo accounts, no renewals, no CS team
    Internal analytics dashboard for a single teamNo 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:

    HandoffTriggerReceiving TeamArtifact
    Feature request from customer evidenceValidated pattern across ≥3 accountsProductSuccess-plan extract + health evidence
    Support escalationBlocking issue with account impactSupportEscalation record with account context
    Technical defect with account riskReproducible bug affecting ≥1 accountEngineeringDefect record + account-impact assessment
    Churn risk requiring lifecycle actionSustained health decline, 2+ remediation attempts failedProduct-lifecycle-learningHealth/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)

    SkillWhat it ownsHow this skill consumes it
    ../product-analytics-and-measurement/SKILL.mdMetric trees, tracking plans, instrumentation QA, measurement governanceProvides health evidence and metric definitions for health/risk records
    ../product-adoption/SKILL.mdOnboarding, activation, behavior change, feature discovery, sustained useProvides adoption signals (activation, feature adoption, sustained use) as health dimensions
    ../product-experimentation/SKILL.mdExperiment design, readout, ship/no-ship decisionsConsumed when CS evidence suggests an experiment (e.g., intervention test for at-risk accounts)
    ../go-to-market/SKILL.mdAcquisition campaigns, marketing conversionDoes NOT own. CS consumes acquisition context only.
    ../crm/SKILL.mdHubSpot CRM operations — contact records, deal pipeline views, confirmed deal stage changesProvides account records and pipeline/health context for health/risk records and QBR preparation

    Routes to (prose references — skills not yet landed)

    SkillWhat it ownsHow this skill routes to it
    product-lifecycle-learningRetirement communication plans, customer treatment during sunset, migration-support coordination, churn-pattern learning across the portfolioEscalates 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-scientist and product-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-market and legal-strategy skills.

    File Map

    FilePurposeLoad when
    references/discovery-brief.mdMaps existing related content, ownership boundaries, and routing decisionsFirst load — required context
    references/privacy-and-human-judgment.mdFull privacy and human-judgment boundaries, surveillance-risk guidance, consent frameworkPrivacy or judgment question arises
    templates/applicability-decision.mdStructured applicability assessment — decline or proceed with evidenceCustomer-success method considered for any product
    templates/success-plan.mdCustomer success plan with desired outcomes, milestones, evidence gatesBuilding or reviewing a success plan
    templates/health-risk-record.mdEvidence-based health/risk record with signal, source, trend, confidence, and conflicting-signal trackingHealth review, QBR prep, renewal-risk analysis
    templates/escalation-and-feedback-closure.mdEscalation path definition and closed-loop feedback closure recordEscalation 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:

    1. Success-plan review — progress against desired outcomes, milestone achievement.
    2. Health evidence — each dimension, its signal, trend, and confidence. Conflicting signals presented, not averaged.
    3. Adoption evidence — feature adoption, activation trends, sustained-use patterns (from product-adoption evidence).
    4. Risk review — open risks, mitigation status, escalation history.
    5. Forward plan — next-period success-plan adjustments, expansion opportunities (routed to go-to-market for commercial motion), and risk-mitigation actions.
    6. 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:

    ModelQBR Trigger
    TransactionalPurchase-milestone threshold, account-tier change, or 6-month dormancy
    Public ServiceService-review cycle, equity-gap detection, or accessibility-audit result
    Internal ProductInternal service-review cycle, team-reorg, or adoption decline

    Output Contract

    1. An applicability decision recorded before any CS method is applied.
    2. A success plan with desired outcomes, milestones, evidence gates, and a named relationship owner.
    3. A health/risk record with evidence per dimension, not a score.
    4. An escalation path with explicit human-judgment gates.
    5. A closed-loop record tracing customer insight → product decision → customer communication.
    6. Handoff records to product, support, or engineering with account context and evidence.