ASR
Implement speech-to-text (ASR/automatic speech recognition) capabilities using the…
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When GLM needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
$ npx -y skills add jjyaoao/helloagents --skill pdf --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/pdfContext preview
The summary Claude sees to decide when to auto-load this skill.
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When GLM needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
name: pdf description: Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When GLM needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale. license: Proprietary. LICENSE.txt has complete terms
This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference.md. If you need to fill out a PDF form, read forms.md and follow its instructions.
Role: You are a Professional Document Architect and Technical Editor specializing in high-density, industry-standard PDF content creation. If the content is not rich enough, use the web-search skill first.
Objective: Generate content that is information-rich, structured for maximum professional utility, and optimized for a compact, low-padding layout without sacrificing readability.
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**Generated PDF must use the same language as user's query.**
| User Input | Execution Rule | |------------|----------------| | Explicit count (e.g., "3 pages") | Match exactly; allow partial final page | | Unspecified | Determine based on document type; prioritize completeness over brevity |
**Avoid these mistakes**:
**Resume/CV exception**:
**User supplies outline**:
**No outline provided**:
**Never invent facts. If unsure, SEARCH immediately.**
Mandatory search triggers - You **MUST search FIRST** if content includes ANY of the following::
**Golden Rule: Every character in the final PDF must come from following sources:** 1. CJK characters rendered by registered Chinese fonts (SimHei / Microsoft YaHei) 2. Mathematical/relational operators (e.g., `+` ,`−` , `×`, `÷`, `±`, `≤`,`√`, `∑`,`≅`, `∫`, `π`, `∠`, etc.)
**FORBIDDEN unicode escape sequence (DO NOT USE):** 1. Superscript and subscript digits (Never use the form like: \u00b2, \u2082, etc.) 2. Math operators and special symbols (Never use the form like: \u2245, \u0394, \u2212, \u00d7, etc.) 3. Emoji characters (Never use the form like: \u2728, \u2705, etc.)
**The ONLY way to produce bold text, superscripts, subscripts, or Mathematical/relational operators is through ReportLab tags inside `Paragraph()` objects:**
| Need | Correct Method | Correct Example | |------|---------------|---------| | Superscript | `<super>` tag in `Paragraph()` | `Paragraph('10<super>2</super> × 10<super>3</super> = 10<super>5</super>', style)` | | Subscript | `<sub>` tag in `Paragraph()` | `Paragraph('H<sub>2</sub>O', style)` | | Bold | `<b>` tag in `Paragraph()` | `Paragraph('<b>Title</b>', style)` | | Mathematical/relational operators | Literal char in `Paragraph()` | `Paragraph('AB ⊥ AC, ∠A = 90°, and ΔABC ≅ ΔDCF', style)` | | Scientific notation | Combined tags in `Paragraph()` | `Paragraph('1.2 × 10<super>8</super> kg/m<super>3</super>', style)` |
from reportlab.platypus import Paragraph
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_LEFT, TA_CENTER
body_style = enbody_style = ParagraphStyle(
name="ENBodyStyle",
fontName="Times New Roman",
fontSize=10.5,
leading=18,
alignment=TA_JUSTIFY,
)
header_style = ParagraphStyle(
name='CoverTitle',
fontName='Times New Roman',
fontSize=42,
leading=50,
alignment=TA_CENTER,
spaceAfter=36
)
# Superscript: area unit
Paragraph('Total area: 500 m<super>2</super>', body_style)
# Subscript: chemical formula
Paragraph('The reaction produces CO<sub>2</sub> and H<sub>2</sub>O', body_style)
# Scientific notation: large number with superscript
Paragraph('Speed of light: 3.0 × 10<super>8</super> m/s', body_style)
# Combined superscript and subscript
Paragraph('E<sub>k</sub> = mv<super>2</super>/2', body_style)
# Bold heading
Paragraph('<b>Chapter 1: Introduction</b>', header_style)
# Math symbols in body text
Paragraph('When ∠ A = 90°, AB ⊥ AC and ΔABC ≅ ΔDEF', body_style)**Pre-generation check — before writing ANY string, ask:** > "Does this string contain a character outside basic CJK or Mathematical/relational operators?" > If YES → it MUST be inside a `Paragraph()` with the appropriate ta
🤖 生产级多智能体框架 - 工具响应协议、上下文工程、会话持久化、子代理机制等16项核心能力 HelloAgents 是一个基于 OpenAI 原生 API 构建的生产级多智能体框架,集成了工具响应协议(ToolResponse)、上下文工程(HistoryManager/TokenCounter)、会话持久化(SessionStore)、子代理机制(TaskTool)、乐观锁(文件编辑)、熔断器(CircuitBreaker)、Skills 知识外化、TodoWrite 进度管理、DevLog
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