技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
project-datamodel【数据与研究】Load, validate, persist, inspect, export, and package Kiln .kiln project data models.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Use this sub-skill when the task is about Kiln project files and core data-model objects: Project, Task, TaskRun, TaskOutput, Prompt, DatasetSplit, Skill, data guides, JSON schemas, input transforms, and safe CLI export of .kiln projects.
Do not use this sub-skill to invoke model providers or run a saved task. Route provider/task execution, tools, MCP runtime, and adapter selection to task-execution-providers-tools. Route evals, fine-tunes, prompt optimization, and synthetic-data generation workflows to evals-optimization-finetuning. Route documents, extraction, vector stores, and RAG to rag-documents-data.
load_from_file / save_to_file / delete, readonly behavior, task-run leaf filtering, prompts, skills, dataset splits, and data guides.kiln_ai projects list, kiln_ai tasks list, and kiln_ai package_project workflows.Use inspect_kiln_project.py for read-only inspection of a project file and optional task:
python scripts/inspect_kiln_project.py --project-file /path/to/project.kiln
python scripts/inspect_kiln_project.py --project-file /path/to/project.kiln --task-id TASK_ID
The helper prints project/task metadata and counts without writing files or invoking providers.
kiln_ai.datamodel APIs over direct JSON edits; they preserve model types, validation, parent relationships, and on-disk folder conventions.parent= or an explicit stable path; then call save_to_file().readonly=True; for mutation, reload with readonly=False or use mutable_copy().Task.runs() returns leaf runs only by default. Pass include_intermediate_runs=True when a full multiturn run chain or exact on-disk inventory is required.delete() as destructive: for a model file it removes the containing model directory, not just the .kiln file.