Use this when: audit my agent observability, do I have enough logging for auto-improvement, trace infrastructure readiness, can a meta-agent read my agent's reasoning, agent trace audit, do I have full reasoning traces, tool call logging, decision point visibility, structured trace format, session reproducibility for agents, agent harness version control, baseline snapshots for optimization, failure classification in traces, cost and latency tracking per agent step, sandboxed execution environment, agent evaluation harness, LangSmith setup, Braintrust setup, Arize setup, am I logging enough for a meta-agent, what traces does auto-improvement need, agent observability gaps, trace infrastructure gaps, auto-improvement infrastructure readiness, meta-agent trace requirements, agent replay from logs, is my logging sufficient for optimization loop
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Use this when: audit my agent observability, do I have enough logging for auto-improvement, trace infrastructure readiness, can a meta-agent read my agent's reasoning, agent trace audit, do I have full reasoning traces, tool call logging, decision point visibility, structured trace format, session reproducibility for agents, agent harness version control, baseline snapshots for optimization, failure classification in traces, cost and latency tracking per agent step, sandboxed execution environment, agent evaluation harness, LangSmith setup, Braintrust setup, Arize setup, am I logging enough for a meta-agent, what traces does auto-improvement need, agent observability gaps, trace infrastructure gaps, auto-improvement infrastructure readiness, meta-agent trace requirements, agent replay from logs, is my logging sufficient for optimization loop
Quick start
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Use this when: audit my agent observability, do I have enough logging for auto-improvement, trace infrastructure readiness, can a meta-agent read my agent's reasoning, agent trace audit, do I have full reasoning traces, tool call logging, decision point visibility, structured trace format, session reproducibility for agents, agent harness version control, baseline snapshots for optimization, failure classification in traces, cost and latency tracking per agent step, sandboxed execution environment, agent evaluation harness, LangSmith setup, Braintrust setup, Arize setup, am I logging enough for a meta-agent, what traces does auto-improvement need, agent observability gaps, trace infrastructure gaps, auto-improvement infrastructure readiness, meta-agent trace requirements, agent replay from logs, is my logging sufficient for optimization loop
About this listing
Category
General
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.