Generate a structured talisman execution plan with topology and conflict checks.
npx skills add https://github.com/isLinXu/under-one --skill tongtian-lu
Please help me install this Agent Skill. Skill: tongtian-lu Source: https://github.com/isLinXu/under-one/tree/main/underone/skills/tongtian-lu Command: npx skills add https://github.com/isLinXu/under-one --skill tongtian-lu
It prevents LLM agent workflows from becoming disorganized by turning a vague goal into a structured talisman sequence with an explicit execution topology and risk/cursing constraints.
Use tongtian-lu to generate a fu_plan.json by providing a task description or task_spec.json, then execute the produced talisman topology.
High-intent search queries and answers about installing and using this skill.
To generate a structured execution plan for workflow automation, you provide a task description or task specification to decompose the intent into analysis, creation, verification, transformation, retrieval, and decision units, producing a runnable topology plan.
Conflict detection in task orchestration works by scanning the generated execution topology to identify style, dataflow, constraint, and performance conflicts across sequential and parallelizable steps before outputting the final plan.
The best way to control parallelism and coverage limits in multi-stage planning is by selecting orchestration modes like quick-cast, balanced-array, or full-ritual, which dictate verification tail depth and mode-driven talisman limits.
Yes, you can use a structured JSON task specification to create a deterministic report generation pipeline by mapping the inputs into a defined sequence of retrieval, analysis, drafting, validation, and transformation steps.
Risk budget checks prevent workflow assembly errors in agent-ops scenarios by estimating curse levels and validating constraints against the execution topology, ensuring safe assembly across sequential and parallelizable steps.
The limitation of using mode-driven limits on talismans is that orchestration modes restrict the number of execution units and verification depth, which may cap complexity for highly intricate agent-ops pipelines requiring extensive parallelization.
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