faasDeep workflow for serverless workloads—event sources, IAM, cold start/latency, limits, observability, security, cost, and deployment patterns (functions, con...
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clawdbot install clawkk/faasGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 6, 2026
Design a serverless REST API using API Gateway and Lambda with idempotent handlers, DLQ for failed requests, and structured logging. Ideal for handling retail order submissions or payment webhooks where at-least-once delivery requires duplicate detection and safe replay.
Build a serverless image resizing and format conversion pipeline triggered by S3 uploads. Optimize for latency using provisioned concurrency for critical paths, ARM Graviton processors, and connection reuse to reduce cold starts for a media editing platform.
Ingest sensor data from IoT devices via Kinesis, process with Lambda, and store in DynamoDB. Focus on iterator age monitoring, IAM least privilege for device shadow access, and cost governance to avoid runaway compute for a smart manufacturing company.
Implement a daily financial report generator using CloudWatch Events, Lambda, and Step Functions. Ensure idempotency for partial failures, dead-letter handling with replay runbooks, and memory tuning to keep duration within limits for a fintech startup.
Deploy edge workers (CloudFront Functions + Lambda@Edge) for a low-latency chat application across global regions. Address geography constraints, CPU time limits, cache semantics, and structured logging for debugging async message delivery in a gaming platform.
Charge customers based on the number of function invocations and memory duration, enabling fine-grained billing for usage patterns from sporadic to high throughput.
Offer expertise in designing, migrating, and operating serverless architectures with SLAs on latency, cost control, and observability. Recurring revenue from monitoring and runbook maintenance.
Provide a multi-tenant serverless platform where each tenant gets an isolated function environment with resource-scoped IAM, per-tenant observability, and cost allocation via tags.
💬 Integration Tip
Integrate with CI/CD pipelines to enforce IAM policy reviews and load tests before production deployment; use structured logging and tracing libraries (e.g., AWS X-Ray SDK) to correlate async calls for debugging.
Scored May 6, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
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Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...