By tonone-ai
Capture, inspect, and debug LLM call traces with full span hierarchy, token usage, cost attribution, and prompt/completion logging to diagnose AI system behavior.
Debug AI system behavior using traces — prompt reconstruction, output comparison, failure attribution.
Instrument LLM calls with tracing — span structure, token counts, latency, model metadata.
Audit LLM observability coverage — trace gaps, logging completeness, cost attribution accuracy.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub tonone-ai/tonone --plugin traceDesign Team — Copy: UX writing and content design — microcopy, error messages, onboarding flows, UI content strategy
Design or audit a feature store
Design an API versioning and deprecation policy
Design Team — Wire: Prototyping and handoff — interactive flow docs, component specs, developer handoff
Map the system architecture — read the codebase, identify services and connections, output a C4-level architecture map as Mermaid diagrams with component descriptions. Use when asked to "map the architecture", "system diagram", "how does this work", or "architecture overview".
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research
v9.54.1 — Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.
Comprehensive .NET development skills for modern C#, ASP.NET, MAUI, Blazor, Aspire, EF Core, Native AOT, testing, security, performance optimization, CI/CD, and cloud-native applications