15 prompt files for all LLM-using AI skills. Each file contains: system prompt, user prompt template with {{variable}} placeholders, output schema, confidence scoring guidance, and examples.

Regex-only skills (SKILL-001 Classifier, SKILL-008 MismatchDetector, SKILL-008a VersionDetector) do not need prompt files — they use pure pattern matching.

Prompt File Inventory

Tier 1 — High Impact

File	Skill	Model	Notes
`SKILL-001a-DocumentScopeDetector.md`	Scope detection (customer/fair/job)	gpt-4o-mini	Receives upload context + entity IDs
`SKILL-002-ContactExtractor.md`	Contact extraction	gpt-4o-mini	Regex primary, LLM fallback
`SKILL-003-DeadlineDetector.md`	Deadline detection (German focus)	gpt-4o-mini	Regex primary, LLM fallback for context
`SKILL-004-ChecklistGenerator.md`	Action item extraction	gpt-4o-mini	German output, 20-item limit, source quoting
`SKILL-004b-MultiFairDetector.md`	Multi-fair detection	gpt-4o-mini	Returns fair array from consultation docs
`SKILL-004c-BudgetExtractor.md`	Budget/cost extraction	gpt-4o-mini	Regex primary, LLM for context classification
`SKILL-004d-PainPointSummarizer.md`	Pain points + expectations	gpt-4o-mini	German output, structured summary

Tier 2 — Validation

File	Skill	Model	Notes
`SKILL-005-StandDataExtractor.md`	Stand dimension extraction	gpt-4o	Handles multi-booth specs + hall info
`SKILL-006-ConfirmationParser.md`	Booking confirmation parsing	gpt-4o-mini	Service-type detection, discrepancy flagging
`SKILL-007-BrandConsistencyChecker.md`	Brand vs. photo comparison	gpt-4o (vision)	Compares brandbook palette to booth photos

Tier 3 — Enhancement

File	Skill	Model	Notes
`SKILL-009-MaterialListExtractor.md`	Material/furniture extraction	gpt-4o-mini	Categorizes items into 4 types, German names
`SKILL-009a-LeadMagnetIdeator.md`	Activation idea generation	gpt-4o	Creative output, temperature 0.7, 3 ideas
`SKILL-010-AcceptanceReportGenerator.md`	Acceptance report generation	gpt-4o	Structured JSON for Gotenberg PDF template
`SKILL-011-SetupProgressAnalyzer.md`	Photo progress comparison	gpt-4o (vision)	Detects construction changes, suggests checklist
`SKILL-012-WeeklyProtocolSummarizer.md`	Protocol summarization	gpt-4o-mini	German output, timeline-friendly structure

Usage

Each prompt file is a Markdown document containing:

Front matter (YAML): skill ID, name, tier, model, temperature, response format
System Prompt: instructions for the LLM
User Prompt Template: the message sent to the LLM, with {{variable}} placeholders that are populated at runtime by the PHP handler with extracted document text, entity context, and metadata
Output Schema: the expected JSON structure
Example (some files): sample input/output pairs for testing

These files are the canonical prompt source. The PHP handler (AiSkillTriggerListener) loads the prompt, replaces {{placeholders}} with runtime data, sends to the LLM API, and parses the response against the schema.