Packs

1 pack

Run Agent Evaluation

Sets up evaluation framework, runs benchmarks, and produces comparative analysis of agent performance.

9 skills · pack

Results for “agent-performance”

8 skills

Guides a conversation to design a new AI team member, generating agent identity files and optionally setting up performance reviews.

Routes requests into the correct obsidian-mind mode: install, daily session loop, capture, review, maintenance, multi-agent wiring, or semantic search, using a ready-made Obsidian vault template for persistent agent memory.

reasoning-trace-optimizer

Debug and optimize AI agents by analyzing reasoning traces, context degradation, tool confusion, instruction drift, repeated task failures, and performance regressions.

16.9k · bundle

More results

agent-experience

Run multiple AI agents against a product, SDK, or docs site to score setup friction, speed, efficiency, error recovery, and doc quality from a minimal prompt.

agent-self-evaluation

Rates an agent's own output on five axes — accuracy, completeness, clarity, actionability, conciseness — producing a structured scorecard with evidence and improvement suggestions.

Discovers and installs agent skills from the open ecosystem using the Skills CLI, helping users find capabilities for tasks like React performance, PR reviews, and changelogs.

Analyzes past agent sessions to identify recurring failures and skill gaps, then automatically creates or patches skills and runs self-evolution to fix them, tracking improvement over time.

Maintains a working memory file for AI agents, tracking active goals, completed tasks, performance metrics, blockers, and key decisions across sessions.