Three marketing agents covering major Chinese digital platforms:
- marketing/marketing-bilibili-content-strategist.md: Bilibili (China's YouTube+Twitch) UP主 content strategy, danmaku culture, mid-form video
- marketing/marketing-kuaishou-strategist.md: Kuaishou short-video strategy for lower-tier city markets, live commerce, trust-driven growth
- marketing/marketing-china-ecommerce-operator.md: Taobao/Tmall/Pinduoduo/JD cross-platform e-commerce operations, 618/Double 11 campaigns, live commerce
Generic memory integration pattern using any MCP-compatible memory
server. Replaces vendor-specific PR #57 based on maintainer feedback.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add game-development to AGENT_DIRS in convert.sh, lint-agents.sh,
install.sh, and the CI workflow
- Remove maxdepth 1 from find commands so nested subdirectories
(e.g., game-development/unity/) are discovered
- Update CI git diff globs to **/*.md for recursive matching
- Remove strategy from lint AGENT_DIRS (playbooks, not agents)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Prepares infrastructure for the upcoming Paid Media Division (PR #83).
Registers paid-media in convert.sh, lint-agents.sh, install.sh, and
the lint-agents GitHub Actions workflow.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Autonomous TikTok/Instagram carousel agent that analyzes websites via
Playwright, generates 6-slide carousels with Gemini, publishes via
Upload-Post API, and iteratively improves through analytics feedback.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Remove workflow example (too product-specific)
- Strip all install commands, API keys, and product references
- Replace tool-specific code blocks with generic JSON schemas
- Add Python matching example showing the resolution pattern
- Agent now teaches the concept, not a specific product
New specialized agent: Identity Graph Operator - operates a shared identity
graph so multiple agents in a system all resolve to the same canonical entity.
Prevents duplicate records, conflicting actions, and cascading errors when
agents encounter the same real-world entity from different sources.
New example workflow: Multi-Agent Shared Identity - step-by-step walkthrough
of 3 agents (Support, Backend, Analytics) handling the same customer across
email, phone, and web channels with shared identity resolution.
Enhanced Agentic Identity & Trust Architect with a section showing how it
complements the Identity Graph Operator (agent identity vs entity identity).
PR #67 already merged a better-fit engineering/engineering-technical-writer.md.
Keep only Compliance Auditor + lint workflow fix.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Three new specialist agents filling clear gaps in the current roster:
- engineering/engineering-data-engineer.md: ETL/ELT pipelines, Delta Lake,
Apache Spark, dbt, Medallion Architecture (Bronze/Silver/Gold), streaming
with Kafka, data quality with Great Expectations, cloud lakehouse platforms
(Fabric, Databricks, Synapse, Snowflake, BigQuery)
- engineering/engineering-technical-writer.md: Developer documentation,
API reference (OpenAPI), README templates, tutorials, docs-as-code
(Docusaurus/MkDocs), content quality standards, DX metrics
- specialized/specialized-developer-advocate.md: Developer relations,
DX auditing and improvement, technical content creation, community
building, GitHub engagement, conference talks, product feedback loops
Each agent follows the standard template with YAML frontmatter, identity,
core mission, critical rules, technical deliverables with working code,
workflow process, communication style, and success metrics.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
