tma1-ai
OrganizationLocal-first observability your agent reads back. TMA1 records every LLM call, then routes what it sees into the agent's next turn via hooks and MCP.
Categories
Indexed Skills (4)
tma1
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.
tma1-setup
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.
tma1-peer
List recent sessions on this project by agent — peers (Claude Code, OpenClaw, Copilot CLI) or your own past sessions. Invoke this skill when the user asks you to read another agent's review feedback, see what someone else tried, act on cross-agent context, or recall your own earlier work here. Trigger phrases: "what did claude do", "what did openclaw do", "what did copilot do", "peer sessions", "cross-agent context", "what did I do earlier", "/tma1-peer".
tma1-search
Search past agent sessions on this project by keyword, and read back any session's conversation. Invoke this skill when the answer lives in an earlier session — how something was fixed before, what was decided, what another agent tried last week — or when the user hands you a session id. Trigger phrases: "what did we decide about", "how did we fix this before", "search my sessions", "find that session", "read session <id>", "/tma1-search".
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.