social-media-marketing
Build social presence and engagement that supports brand, community, and demand — without chasing empty vanity metrics. Use when defining social strategy, content pillars, community management, or platform-specific tactics.
- License 许可
- MIT
- 最近更新
- 2026-07-22
- Stars
- ★ 7
- Forks
- 1
01 前言 Front Matter
- name
- social-media-marketing
- description
- Build social presence and engagement that supports brand, community, and demand — without chasing empty vanity metrics. Use when defining social strategy, content pillars, community management, or platform-specific tactics.
03 SKILL.md 正文
Social Media Marketing
Overview
Social media is a conversation channel, distribution surface, and brand stage. Effective social work ties platform behavior to clear business or community goals.
When to Use
- Building or refining social strategy
- Launch and campaign amplification
- Community building and support
- Thought leadership and employer brand
Core Practices
- Choose platforms based on where the audience actually is
- Define content pillars aligned with positioning
- Design for native formats (short video, threads, carousels, etc.)
- Engage — don’t only broadcast
- Track engagement quality, referral traffic, and pipeline influence where possible
Principles
- Platform-native beats cross-posted sludge
- Consistency builds familiarity; quality keeps attention
- Community trust is fragile — respond like a human
- Not every brand needs to be everywhere
Verification
- [ ] Platforms and goals are explicitly matched
- [ ] Content pillars are clear and repeatable
- [ ] Metrics go beyond follower count
04 同仓库更多 Skills
compliance-monitoring
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.