Analyze TAKT pieces and facets for structural validation and style compliance.
npx skills add https://github.com/j5ik2o/ai-tools --skill takt-analyzer
Please help me install this Agent Skill. Skill: takt-analyzer Source: https://github.com/j5ik2o/ai-tools/tree/main/plugins/takt/skills/takt-analyzer Command: npx skills add https://github.com/j5ik2o/ai-tools --skill takt-analyzer
This Skill helps you identify and fix problems in your TAKT pieces and facets, ensuring they adhere to best practices and improving your AI agent's performance and reliability.
.takt/logs/*.jsonl) to find performance bottlenecks, rule evaluation inefficiencies, and ABORT rates.takt analyze to catch potential issues like incorrect YAML structure, style guide violations in facets, or inefficient rule logic, preventing runtime errors and improving overall agent quality.Use the takt-analyzer skill to analyze the piece located at './my-takt-piece/SKILL.md'.
High-intent search queries and answers about installing and using this skill.
To validate TAKT piece YAML structure and check facet quality, an automated analysis checks piece YAML structure, facet quality, and rule design against official style guides. This identifies structural issues, style guide violations, and unused facets to ensure best practices.
Inter-facet consistency analysis in TAKT rule design evaluates alignment across facets within a piece. It detects inconsistencies and unused facets by comparing against official style guides and engine specifications to ensure rule design optimization.
To diagnose TAKT execution logs for rule evaluation bottlenecks, log-based diagnostics analyze `.takt/logs/*.jsonl` files. This reports rule evaluation efficiency, identifies loop hotspots, and calculates ABORT rates to pinpoint performance issues.
Yes, you can detect unused facets and style guide violations before committing a TAKT piece by running an analysis tool. It checks piece YAML structure and facet quality against official standards to catch potential issues and prevent runtime errors.
The best way to optimize TAKT rule design and improve agent performance is to analyze pieces for rule design optimization and run log-based diagnostics. This identifies inefficient rule logic, loop hotspots, and high ABORT rates to enhance reliability.
j5ik2oOptimize TAKT workflow YAMLs by reducing token consumption and consolidating movements.
j5ik2oAnalyze TAKT piece YAML and facet maps to generate optimized file sets.
HomericIntelligenceRun Mojo format, markdownlint, and pre-commit hooks for code quality checks.
j5ik2oAnalyze TAKT pieces and facets against YAML schemas and style guides.