help(prompts): reorder LLM prompts, add chemical-formulas example, add hover descriptions

Help/markdown/vscode/prompts/01-chemical-formulas.md

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+From scratch: chemical formulas
+<!-- desc: Worked from-scratch example — gathers Wikipedia chemistry excerpts, then builds an NLP++ analyzer that finds chemical formulas and breaks each into its elements and atom counts, emitting JSON. A good first prompt to watch an analyzer built end to end. -->
+I want you to help me write a prototype NLP++ analyzer. NLP++ is a rule-based programming language for natural language processing, run by the NLP engine. Everything you need is already installed on this machine at the paths below:
+
+- NLP engine executable (run analyzers with this): {{engineExe}}
+- NLP engine command-line switches (how to run, compile, set the working directory, etc.): https://github.com/VisualText/nlp-engine/blob/master/README.md#switches
+- Example analyzers (study these for patterns and the pass sequence): {{analyzersDir}}
+- Analyzer templates (good starting points): {{templatesDir}}
+- VisualText support files: {{visualTextDir}}
+    - Library functions and language dictionaries / knowledge bases: {{languagesDir}}
+    - Misc library functions: {{miscDir}}
+
+An NLP++ analyzer is a folder containing: spec/ (the .nlp passes plus analyzer.seq, the ordered pass sequence), input/ (text files to analyze), and kb/ (the knowledge base). Run an analyzer by invoking the engine executable above on an input file.
+
+Create a folder of text files from the internet — short excerpts from Wikipedia chemistry articles that are full of chemical formulas — and save them under the analyzer's input/ directory.
+
+Then build an NLP++ analyzer that finds the chemical formulas in the text and breaks each one into its elements and atom counts, emitting the results as JSON.
+
+Study a couple of the example and template analyzers first to learn the conventions, then build it, run it over the files, and show me the output.

Help/markdown/vscode/prompts/01-build-analyzer.md → Help/markdown/vscode/prompts/02-build-analyzer.md

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 NLP++ local install — build an analyzer
+<!-- desc: Generic starting prompt — hands Claude the installed engine, example, and template paths, then asks it to build a brand-new NLP++ analyzer for a task you fill in. Use this to start any analyzer from scratch. -->
 I want you to help me write a prototype NLP++ analyzer. NLP++ is a rule-based programming language for natural language processing, run by the NLP engine. Everything you need is already installed on this machine at the paths below:
 
 - NLP engine executable (run analyzers with this): {{engineExe}}

Help/markdown/vscode/prompts/02-more-text-files.md → Help/markdown/vscode/prompts/03-more-text-files.md

@@ -1,4 +1,5 @@
-Create more text files for hardening
+Harden analyzer
+<!-- desc: Generates additional, varied test inputs (with edge cases) for the current analyzer, runs them through the engine, and reports where extraction looks wrong so you can tighten rules and re-bless regression goldens. -->
 I am hardening an NLP++ analyzer by adding more test inputs. The analyzer and engine are here:
 
 - Current analyzer (add files under its input/ directory): {{currentAnalyzer}}

Help/markdown/vscode/prompts/03-dictionaries-kbs.md → Help/markdown/vscode/prompts/04-dictionaries-kbs.md

@@ -1,4 +1,5 @@
-Build dictionaries and knowledge bases
+Create Dictionaries & KBs
+<!-- desc: Builds NLP++ dictionaries (.dict) and knowledge bases (.kbb) for the current analyzer, learning the exact format from the shared language and misc libraries, and places them under kb/user/. -->
 Help me build dictionaries (.dict) and knowledge bases (.kbb) for an NLP++ analyzer.
 
 - Current analyzer (its kb/user/ folder holds the KB sources): {{currentAnalyzer}}