tannhatcms

tannhatcms/awesome-trae-agent

tannhatcms/awesome-trae-agent

tannhatcms/quickreply-ai

tannhatcms/quickreply-ai

tannhatcms/awesome-trae-agent

tannhatcms/awesome-trae-agent

tannhatcms/awesome-trae-agent

tannhatcms/awesome-trae-agent

tannhatcms/awesome-trae-agent

tannhatcms/awesome-trae-agent

tannhatcms/awesome-trae-agent

tannhatcms/awesome-trae-agent

Coordinate agents via messaging: send, receive, and manage inter-agent communication. Use when agents need to collaborate, hand of...

Orchestrate agents at runtime — task routing, scheduling, parallel execution, result aggregation, and supervision dashboards. Use ...

Build reusable agent workflow patterns — subagents with scoped briefs, event hooks, slash commands, and session management. Use wh...

Coordinate teams of role-based agents — role definitions, task delegation, sequential and hierarchical workflows, and shared memor...

Build agents on OpenAI's platform patterns — assistants-style threads, function calling, structured outputs, and multi-step tool w...

Build AI chatbots end to end — conversation design, persona, retrieval grounding, escalation, and deployment. Use when creating a ...

Handle professional audio tasks with recording, editing, mixing basics, formats, and loudness standards.

A pattern catalog for autonomous agents — ReAct, plan-and-execute, reflection, multi-agent debate, toolformer-style tool use, and ...

Estimate causal effects from observational and experimental data — DAGs, confounding control, quasi-experimental designs, and sens...

Design chatbot user interfaces — message layouts, suggestion chips, rich cards, feedback controls, and accessibility. Use when des...

Manage citations and references — collecting sources, organizing libraries, formatting bibliographies, and keeping reference integ...

Understanding and optimizing cloud/PaaS pricing — cost models, common traps, and FinOps habits — vendor-neutral.

Build with Meta's Code Llama — open code models for generation, infilling, and long-context code tasks.

Build with Mistral's Codestral code models — efficient open code generation with fill-in-the-middle.

Research libraries and APIs automatically by pulling live documentation into the agent's context before answering. Use when writin...

CSV processing done right — parsing edge cases, dialects, and large files — use when ingesting or exporting CSV data.

Relational schema design — normalization, keys, constraints, and evolution — use when modeling data or reviewing a schema.

Run structured design critiques with frameworks for feedback that is honest, specific, and actionable.