cloudflare-image-gen
Generate images using the Cloudflare Workers AI flux-1-schnell model. Enables text-to-image capabilities directly within your workflow.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
464 skills found
Generate images using the Cloudflare Workers AI flux-1-schnell model. Enables text-to-image capabilities directly within your workflow.
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
Intelligent GitHub release orchestration using AI swarms for automated versioning, multi-platform deployment, testing, and rollback management.
Persistent, Git-friendly memory for Claude. Automatically store and retrieve project decisions, bug fixes, and coding patterns in a local .mv2 file.
AWS SQS skill for managing message queues, decoupling microservices, configuring dead-letter queues, handling visibility timeouts, and implementing FIFO ordering.
A strategic marketing ideation engine for SaaS founders. Generate actionable, stage-appropriate growth strategies, content tactics, and promotional ideas tailored to your budget and specific product context.
AI performance marketing agent for Google, Meta, LinkedIn, and TikTok ads. Automate keyword research, budget management, ROAS tracking, and cross-platform reporting via natural language.
Generates a random lucky number between 0 and 9999 for games, decision-making, or entertainment.
Soul.Markets SDK for AI agent commerce. Monetize your intelligence by creating services, executing others' services, and managing your soul identity with USDC payments via x402.
AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.
Manage AWS EC2 virtual machines, AMIs, and networking. Use for instance lifecycle management, security group configuration, key pair handling, and troubleshooting connectivity.
Optimize agent context windows through KV-caching, observation masking, summarization-based compaction, and context partitioning to reduce costs and latency.