agentleFS
JacobinwweyJacobinwwey/notemdpro/skills/content-generator/SKILL.md

content-generator

Skill2 starsChanged 38 days agoMITView on GitHub

Use when a note has only a title and needs comprehensive AI-generated content, optionally enriched with web research context

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    After LLM generates content, the following fixes are automatically applied:

    line 147

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

NoteMD Pro - Generate Content from Title

Overview

This feature generates comprehensive content for a note based solely on its title. It can optionally perform web research first, then generates detailed documentation including explanations, tables, equations (LaTeX), and Mermaid diagrams.

When to Use

  • Create new notes: Generate detailed content from a title
  • Expand outlines: Turn brief titles into full documents
  • Research summaries: Get comprehensive overviews with web context
  • Technical docs: Generate scientific/technical documentation

Function Call Chain

generateContentForTitle (fileUtils.ts)
├── getProviderForTask('generateTitle', settings)
├── _performResearch(app, settings, title, reporter)  [IF enabled]
│   ├── SearchManager.getProvider
│   ├── provider.search(query)
│   └── fetchContentFromUrl(url)
├── call[Provider]API(prompt, title + researchContext)
├── cleanupLatexDelimiters(content)
├── refineMermaidBlocks(content)  ← AUTO-FIX
└── fixMermaidSyntaxInFile(outputPath, reporter)  ← AUTO-RUN AFTER LLM
    └── checkMermaidErrors(content)

Key Functions (from fileUtils.ts)

generateContentForTitle

Generates content for a note based on its title using LLM.

export async function generateContentForTitle(
  settings: NotemdSettings,
  inputPath: string,
  progressReporter: ProgressReporter,
);

batchGenerateContentForTitles

Batch generates content for all markdown files in a folder.

export async function batchGenerateContentForTitles(
  settings: NotemdSettings,
  folderPath: string,
  progressReporter: ProgressReporter,
);
// Flow:
// 1. Get all .md files in folder
// 2. Create "complete" output folder
// 3. Process files (serial or parallel based on settings)
// 4. Move processed files to complete folder

fixMermaidSyntaxInFile

Fixes Mermaid syntax in a file (auto-run after generation).

export async function fixMermaidSyntaxInFile(
  filePath: string,
  reporter: ProgressReporter,
): Promise<boolean>;

Settings

Research Settings

SettingDescription
enableResearchInGenerateContentEnable web research before generation
searchProvider'tavily' or 'duckduckgo'
tavilyApiKeyAPI key for Tavily
maxResearchContentTokensMax tokens for research context
tavilyMaxResultsNumber of Tavily results
ddgMaxResultsNumber of DuckDuckGo results

Contextual Context (Macro Settings)

SettingDescription
enableFocusedLearningInject macro user domain preferences globally
focusedLearningDomainThe specific domain context (e.g., "Computer Graphics", "Biochemistry")

Output Settings

SettingDescription
useCustomGenerateTitleOutputFolderUse custom output folder
generateTitleOutputFolderNameCustom folder name (default: "_complete")

Language Settings

SettingDescription
languageTarget language code
useDifferentLanguagesForTasksPer-task language selection
generateTitleLanguageLanguage for title generation

Prompt Template (generateTitle)

From promptUtils.ts:

Create comprehensive technical documentation about "{TITLE}" with a focus on
scientific and mathematical rigor.
{RESEARCH_CONTEXT_SECTION}

Include:
1. Detailed explanation of core concepts with their mathematical foundations.
   Start with a Level 2 Header (## {TITLE}).
2. Key technical specifications with precise values and units (use tables).
3. Common use cases with quantitative performance metrics.
4. Implementation considerations with algorithmic complexity analysis.
5. Performance characteristics with statistical measures.
6. Related technologies with comparative mathematical models.
7. Mathematical equations in LaTeX format (using $$...$$ for display and
   $...$ for inline) with detailed explanations.
8. Mermaid.js diagram code blocks using the format ```mermaid ... ```
   IMPORTANT: without brackets "()" or "{}" for Mermaid diagrams.
   Enclosed node names with spaces/special characters in square brackets [ and ].
   Avoids special LaTeX syntax and Added quotes around subgraph titles.
   "subgraph" and "end" cannot appear on the same line!
9. Use bullet points for lists longer than 3 items.
10. Include references to academic papers with DOI where applicable.
11. Preserve all mathematical formulas and scientific principles.
12. Define all variables and parameters used in equations.

Format directly for Obsidian markdown. Do NOT wrap the entire response in
a markdown code block. Start directly with the Level 2 Header.

Auto-Fix After Generation

After LLM generates content, the following fixes are automatically applied:

  1. cleanupLatexDelimiters:
    • Converts \( \) to $
    • Removes extra whitespace in math expressions
    • Protects display math $$...$$
  2. refineMermaidBlocks:
    • Fixes unquoted labels
    • Closes unclosed blocks
    • Applies 20+ fix patterns
  3. fixMermaidSyntaxInFile (auto-run):
    • Validates Mermaid syntax using mermaid.parse
    • Applies deep debug fixes if errors found
    • Logs validation results

See mermaid-healer for full Mermaid fixing code.

Error Handling

Common Errors

  1. No research context
    • Warning: "Research for 'title' returned no results"
    • Solution: Check API keys, network connection
  2. Mermaid syntax errors
    • Warning: "Mermaid errors found after generation"
    • Solution: Auto-fix applied, check logs
  3. Content too long
    • Error: Max tokens exceeded
    • Solution: Reduce research context or chunk size

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