techwavedev Plaid Fintech
Patterns
Link Token Creation and Exchange
Create a link_token for Plaid Link, exchange public_token for access_token. Link tokens are short-lived, one-time use. Access tokens don't expire but may need updating when users change passwords.
Transactions Sync
Use /transactions/sync for incremental transaction updates. More efficient than /transactions/get. Handle webhooks for real-time updates instead of polling.
Item Error Handling and Update Mode
Handle ITEM_LOGIN_REQUIRED errors by putting users through Link update mode. Listen for PENDING_DISCONNECT webhook to proactively prompt users.
Anti-Patterns
❌ Storing Access Tokens in Plain Text
❌ Polling Instead of Webhooks
❌ Ignoring Item Errors
⚠️ Sharp Edges
| Issue | Severity | Solution |
|---|---|---|
| Issue | critical | See docs |
| Issue | high | See docs |
| Issue | high | See docs |
| Issue | high | See docs |
| Issue | medium | See docs |
| Issue | medium | See docs |
| Issue | medium | See docs |
| Issue | medium | See docs |
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
AGI Framework Integration
Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills
Memory-First Protocol
Retrieve prior agent configurations, team compositions, and orchestration patterns. Critical for multi-agent system consistency.
# Check for prior AI agent orchestration context before starting
python3 execution/memory_manager.py auto --query "agent patterns and orchestration strategies for Plaid Fintech"
Storing Results
After completing work, store AI agent orchestration decisions for future sessions:
python3 execution/memory_manager.py store \
--content "Agent pattern: hierarchical orchestration with Control Tower dispatcher, 3 specialist sub-agents" \
--type decision --project <project> \
--tags plaid-fintech ai-agents
Multi-Agent Collaboration
This skill is inherently multi-agent. Use cross-agent context to coordinate task distribution and avoid duplicate work.
python3 execution/cross_agent_context.py store \
--agent "<your-agent>" \
--action "Agent architecture designed — Control Tower + specialist agents with shared Qdrant memory" \
--project <project>
Control Tower Integration
Register agents and tasks with the Control Tower (execution/control_tower.py) for centralized orchestration across machines and LLM providers.
Blockchain Identity
Each agent has a cryptographic Ed25519 identity. All memory writes are signed — enabling trust verification in multi-agent systems.