Analyze TAKT piece YAML and facet maps to generate optimized file sets.
npx skills add https://github.com/j5ik2o/dotfiles --skill takt-optimize
Please help me install this Agent Skill. Skill: takt-optimize Source: https://github.com/j5ik2o/dotfiles/tree/main/.agent/skills/takt-optimize Command: npx skills add https://github.com/j5ik2o/dotfiles --skill takt-optimize
TAKT workflows often become bloated with fragmented pieces, duplicated facets, and manual optimization effort. takt-optimize automates the identification and consolidation of patterns, reducing token usage, unifying movements, simplifying rules, reusing facets, improving loop control, and proposing parallelization. When execution logs are available (e.g., .takt/logs/*.jsonl), it can base optimization on real runtime data.
Provide your TAKT piece and optional logs, and the optimizer will output an optimized file set ready for deployment.
High-intent search queries and answers about installing and using this skill.
TAKT workflow optimization analyzes existing piece YAML and facet maps to consolidate patterns, unify movements, and reduce token usage. It generates an optimized file set with streamlined structure and minimal token cost ready for deployment.
Execution logs from .takt/logs/*.jsonl can be used to justify TAKT workflow optimizations with data-driven metrics. When logs are provided, the optimizer bases its actionable optimization plan on real runtime data rather than static analysis.
Consolidating duplicated facets in a TAKT workflow is best handled by replacing custom facets with built-in references to reduce complexity and maintenance. This automated approach simplifies rules and reuses existing facet structures effectively.
Streamlining TAKT piece structures involves analyzing facet maps to unify movements, simplify rules, and improve loop control. The optimizer proposes concrete optimizations across patterns, policies, and iterations to create a minimal structure.
Execution logs are not required to run TAKT workflow optimization. The optimizer can analyze existing piece YAML and facet maps independently, but providing logs from .takt/logs/*.jsonl enables data-driven metrics to justify proposed changes.
TAKT workflows often become bloated due to fragmented pieces, duplicated facets, and manual optimization effort. Automated optimization identifies and consolidates these patterns, unifying movements and proposing parallelization to reduce overall token usage.
j5ik2oAnalyze TAKT pieces and facets for structural validation and style compliance.
j5ik2oOptimize TAKT workflow YAMLs by reducing token consumption and consolidating movements.
j5ik2oGenerate TAKT workflow YAML and facet files from user requirements.
j5ik2oAnalyze TAKT pieces and facets against YAML schemas and style guides.
