src/dynamic_os/skills/builtins/generate_figures/SKILL.md
模板驱动的图表生成技能。LLM 分析输入 artifact 数据并输出 JSON 图表规格, 由内置模板渲染器(matplotlib / networkx / mermaid-cli)生成 PDF + PNG 图表, 输出 `FigureSet` 供 `draft_report` 嵌入论文。 支持的图表类型:bar_chart, grouped_bar_chart, line_chart, scatter_plot, heatmap, pie_chart, network_graph, flowchart, sequence_diagram, class_diagram, timeline。 使用 `ctx.tools.llm_chat()` 获取图表规格。
npx skillsauth add szaaaaaa/researchagent src/dynamic_os/skills/builtins/generate_figuresInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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模板驱动的图表生成技能。LLM 分析输入 artifact 数据并输出 JSON 图表规格,
由内置模板渲染器(matplotlib / networkx / mermaid-cli)生成 PDF + PNG 图表,
输出 FigureSet 供 draft_report 嵌入论文。
支持的图表类型:bar_chart, grouped_bar_chart, line_chart, scatter_plot, heatmap, pie_chart, network_graph, flowchart, sequence_diagram, class_diagram, timeline。
使用 ctx.tools.llm_chat() 获取图表规格。
tools
Clarify the user's intent into one of three tiers: a confidently inferred goal, a default-filled goal with explicit assumptions, or a structured reask with option-style questions. The skill uses `ctx.tools.llm_chat()` with a structured JSON schema and emits either `ClarifiedIntent` or `ClarificationRequest`. When previous-round `ClarificationResponse` artifacts are present in `ctx.input_artifacts`, they are folded into the prompt so the LLM can incorporate prior answers.
data-ai
# extract_keywords_v0 (broken baseline) Demo asset for the `reflect_on_failure → optimize_skill` chain. See `run.py` for the deliberate bug.
testing
Use this skill to search papers.
testing
This fixture skill attempts a network call and should be blocked by its own permissions.