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tma1
tma1 contient 5 skills collectées depuis tma1-ai, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Local-first LLM agent observability that closes the loop: records agent work on the user's machine, then feeds the useful parts back into the next turn via hooks, MCP tools, and anomaly detection. Use when users say: - "install tma1" - "upgrade tma1" - "update tma1" - "setup observability" - "monitor my agent" - "how much am I spending on tokens" - "what has my agent been doing" - "local observability" - "I don't want to send data to the cloud" - "track token usage" - "agent metrics" - "agent telemetry" - "what is my agent executing" - "agent security audit" - "prompt injection risk" - "close the agent loop" - "inject session context" - "call tma1 MCP tools" - "list anomalies" - "show me detected anomalies" - "what did Codex / OpenClaw / Copilot do on this project" - "/tma1-peer" - "block stop on anomalies" - "what's the build status"
Pull recent session content from peer coding agents (Claude Code, OpenClaw, Copilot CLI) that worked on the same project. Invoke this skill when the user asks you to read another agent's review feedback, see what someone else tried, or act on cross-agent context. Trigger phrases: "what did claude do", "what did openclaw do", "what did copilot do", "peer sessions", "cross-agent context", "/tma1-peer".
Pull recent session content from peer coding agents (Codex, OpenClaw, Copilot CLI) that worked on the same project. Invoke when the user wants you to read another agent's review feedback, see what someone else tried, or act on cross-agent context. Trigger phrases: "what did codex do", "what did openclaw do", "what did copilot do", "peer sessions", "cross-agent context", "/tma1-peer".
Install and configure TMA1 local observability (Claude Code, Codex, GitHub Copilot CLI, OpenClaw, any OTel SDK). Use when the user says: install tma1, setup observability, monitor my agent, track token usage, set up telemetry.
Query TMA1 observability data (Claude Code, Codex, GitHub Copilot CLI, OpenClaw, any OTel SDK). Use when the user asks: how much did I spend, token usage, what has my agent been doing, agent cost, show me traces, show me events, check for errors, model comparison, tool usage.