Coordinate AI task documentation and alignment across plan, research, and execute stages.
npx skills add https://github.com/xxih/ai-harness-zh --skill nanospec
Please help me install this Agent Skill. Skill: nanospec Source: https://github.com/xxih/ai-harness-zh/tree/main/packages/nanospec/targets/codex/skills/nanospec Command: npx skills add https://github.com/xxih/ai-harness-zh --skill nanospec
NanoSpec standardizes the intermediate-document directory and alignment workflow for AI tasks, enabling coherent spec-driven processes across planning, research, and execution.
Create a new task skeleton with the provided script and begin the workflow by generating the spec and plan.
High-intent search queries and answers about installing and using this skill.
To maintain alignment across AI task workflows, you need a spec-driven process that propagates updates to outputs consistently. NanoSpec standardizes this by applying clarify, plan, and execute stages to keep documentation coherent.
A spec-driven workflow for AI tasks standardizes intermediate documents to coordinate planning, research, and execution. It establishes a predictable path through init, clarify, spec, plan, execute, align, accept, and summary stages.
You standardize AI task containers by creating a task skeleton with a provided script, then generating the spec and plan. This ensures intermediate documents remain traceable and reusable across the workflow.
Yes, NanoSpec supports tracing research and execution stages by routing through dedicated commands. It provides on-demand references and assets to keep work traceable throughout the entire process.
Yes, spec-driven alignment works independently as NanoSpec requires no external dependencies. It uses internal scripts and references to orchestrate task documentation and ensure alignment updates are propagated.
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