community-led-success
Use customer community as a success channel — peer support, best-practice sharing, and champion development that scales help. Use when building or leveraging communities for adoption, support deflection, and advocacy.
- License 许可
- MIT
- 最近更新
- 2026-07-22
- Stars
- ★ 7
- Forks
- 1
01 前言 Front Matter
- name
- community-led-success
- description
- Use customer community as a success channel — peer support, best-practice sharing, and champion development that scales help. Use when building or leveraging communities for adoption, support deflection, and advocacy.
03 SKILL.md 正文
Community-Led Success
Overview
Community-led success harnesses peers to help peers. It scales knowledge, surfaces product insight, and strengthens belonging among customers.
When to Use
- Launching or maturing a user community
- Deflecting repetitive how-to demand
- Developing champions and power users
- Gathering grassroots product feedback
Core Practices
- Define community purpose beyond “marketing channel”
- Seed expert content and moderate for quality
- Recognize and elevate helpful members
- Connect community insights to CS and Product
- Measure health: active members, solved questions, sentiment
- Integrate community into onboarding and education paths
Principles
- Community is reciprocal — extractive programs die
- Moderation and psychological safety are product features
- Not every segment wants community equally
- Peer answers can be more trusted than vendor answers
Verification
- [ ] Purpose and success metrics are defined
- [ ] Moderation and recognition systems operate
- [ ] Insights flow to Product/CS on a cadence
04 同仓库更多 Skills
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Design compliance monitoring and testing programs that verify controls work in practice and surface issues before regulators do. Use when building monitoring plans, compliance testing, or continuous control monitoring.
complaints-handling
Operate complaints-handling processes that meet regulatory standards — logging, timely resolution, root-cause analysis, and fair outcomes. Use when designing or improving regulated complaints frameworks or analyzing complaint themes for conduct risk.
aml-kyc-basics
Apply AML/KYC fundamentals — customer due diligence, monitoring, suspicious activity escalation, and recordkeeping — for financial crime compliance. Use when designing onboarding controls, transaction monitoring concepts, or AML program components in financial services.
ai-model-compliance
Apply compliance controls to AI and automated decision systems — transparency, fairness, human oversight, documentation, and regulatory alignment. Use when deploying AI in regulated processes (credit, fraud, customer decisions) or responding to AI governance expectations.
data-quality-management
Manage data quality end-to-end — dimensions, rules, remediation, and prevention — beyond one-off cleaning scripts. Use when building sustained data quality programs or fixing systemic accuracy, completeness, or consistency problems.
data-lineage
Capture and use data lineage — where data comes from, how it transforms, and what depends on it — for impact analysis, debugging, and trust. Use when tracing metric origins, assessing change impact, or diagnosing broken pipelines.