171 lines
6.8 KiB
JSON
171 lines
6.8 KiB
JSON
{
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"0": "Task Planning",
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"1": "Convergence Workflow",
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"2": "SpecKit Utilities",
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"3": "Graphify Commands",
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"4": "speckit-analyze/SKILL.md",
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"5": "Tasks: Multilingual NLP Entity Inherence Classifier (POC)",
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"6": "Feature Specification Template",
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"7": "Graphify Rules",
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"8": "Implementation Planning",
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"9": "Feature Specification",
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"10": "Task Generation",
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"11": "Project Constitution",
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"12": "Constitution Template",
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"13": "Graphify Exports",
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"14": "Ponytail Configuration",
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"15": "Implementation Planning Template",
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"16": "Ponytail Help",
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"17": "Checklist Generation",
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"18": "Clarification Workflow",
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"19": "Implementation Workflow",
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"20": "Graph Query",
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"21": "Constitution Workflow",
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"22": "Feature Branch Creation",
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"23": "Ponytail Audit",
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"24": "Ponytail Metrics",
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"25": "Ponytail Review",
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"26": "Task Issue Conversion",
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"27": "Checklist Template",
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"28": "Graphify Watch Mode",
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"29": "Graphify Hooks",
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"30": "Graphify Updates",
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"31": "Ponytail Debt",
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"32": "Repository Merge",
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"33": "Media Transcription",
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"34": "Extraction Specification",
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"35": "Prerequisite Checks",
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"36": "Template Resolution",
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"37": "Plan Setup",
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"38": "Task Setup",
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"39": "Graphify Workflows",
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"40": "main",
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"41": "1. Technical Decisions & Tradeoffs",
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"42": "1. Input Schemas",
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"43": "2. Basic CLI Usage Examples",
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"44": "2. Standard Streams & Exit Codes",
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"45": "ClassificationResult",
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"46": "test_adversarial.py",
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"47": "classifier.py",
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"48": "test_convert_article_to_markdown.py",
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"49": "content_northvolt_de.md",
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"50": "content_presal_pt.md",
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"51": "content_tangential_es.md",
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"52": "adapters/__init__.py",
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"53": "src/__init__.py",
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"54": "de/contextual.md",
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"55": "de/direct.md",
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"56": "de/not_related.md",
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"57": "de/tangential.md",
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"58": "en/contextual.md",
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"59": "en/direct.md",
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"60": "en/not_related.md",
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"61": "en/tangential.md",
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"62": "es/contextual.md",
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"63": "es/direct.md",
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"64": "es/not_related.md",
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"65": "es/tangential.md",
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"66": "fr/contextual.md",
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"67": "fr/direct.md",
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"68": "fr/not_related.md",
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"69": "fr/tangential.md",
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"70": "it/contextual.md",
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"71": "it/direct.md",
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"72": "it/not_related.md",
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"73": "it/tangential.md",
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"74": "pt/contextual.md",
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"75": "pt/direct.md",
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"76": "pt/not_related.md",
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"77": "pt/tangential.md",
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"78": "tests/__init__.py",
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"79": "text-nlp-classifier",
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"80": "test_extract_article_contents.py",
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"81": "Extrator de Notícias do Google News — Guia Completo de Funcionamento",
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"82": "extract_google_news.py",
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"83": "ExtractionResult",
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"84": "test_extract_google_news.py",
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"85": "Implementation Tasks: Google News Headlines Extractor",
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"86": "Feature Specification: Google News Headlines Extractor",
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"87": "2. Cenários Práticos de Uso",
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"88": "Implementation Plan: Google News Headlines Extractor",
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"89": "scripts/__init__.py",
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"90": "SearchQuery",
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"91": "1. Technical Decisions & Tradeoffs",
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"92": "General Readiness Checklist: Google News Headlines Extractor",
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"93": "1. Entidades de Domínio & DTOs",
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"94": "Specification Quality Checklist: Google News Headlines Extractor",
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"95": "CLI Contract: Google News Headlines Extractor",
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"96": "readiness.md",
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"97": "🧠 TextNLPClassifierApp",
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"98": "Extraction Pipeline Checklist: Article Content Multi-Engine Extractor",
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"99": "parametrize",
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"100": "models.py",
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"101": "ECPSnapshot",
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"102": "Feature Specification: Multilingual NLP Entity Inherence Classifier (POC)",
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"103": "4. Requisitos Funcionais (FR)",
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"104": "Tasks: Article Content Multi-Engine Extractor",
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"105": "Tasks: Convert Article JSON to Markdown",
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"106": "Implementation Plan: Article Content Multi-Engine Extractor",
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"107": "2. Cenários de Validação",
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"108": "1. Technical Decisions & Tradeoffs",
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"109": "Implementation Plan: Multilingual NLP Entity Inherence Classifier (POC)",
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"110": "POC Readiness & Requirements Quality Checklist: Multilingual NLP Entity Inherence Classifier",
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"111": "Specification Quality Checklist: Multilingual NLP Entity Inherence Classifier",
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"112": "CLI Contract: Article Content Multi-Engine Extractor",
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"113": "001-multilingual-entity-classifier/spec.md",
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"114": "JSON Schema Contract: Article Content Multi-Engine Extractor",
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"115": "PRD — Seleção determinística da biblioteca de extração de conteúdo",
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"116": "select_article_extractor.py",
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"117": "1. Text Normalization Pipeline",
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"118": "Tasks: Deterministic Article Content Selection",
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"119": "select_article_extractor",
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"120": "process_batch",
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"121": "detect_language",
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"122": "test_select_article_extractor.py",
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"123": "Feature Specification: Deterministic Content Selection",
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"124": "2. Entity Descriptions & Fields",
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"125": "Implementation Plan: Deterministic Article Content Selection",
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"126": "Deterministic Content Selection Checklist: End-to-End Requirements Quality",
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"127": "Quickstart: Deterministic Article Content Selection",
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"128": "Specification Quality Checklist: Deterministic Content Selection",
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"129": "CLI Interface Contract: Deterministic Article Content Selection",
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"130": "004-deterministic-content-selection/spec.md",
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"131": "convert_article_to_markdown.py",
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"132": "8. Regras funcionais",
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"133": "12. Critérios de aceite",
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"134": "PRD — Conversão de artigo JSON para Markdown",
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"135": "resolve_article_body",
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"136": "Implementation Plan: Convert Article JSON to Markdown",
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"137": "2. Technical Decisions & Research Findings",
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"138": "Feature Specification: Convert Article JSON to Markdown",
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"139": "Markdown Conversion Checklist: End-to-End Requirements Quality",
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"140": "convert_article",
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"141": "005-convert-json-markdown/plan.md",
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"142": "Quickstart: Convert Article JSON to Markdown",
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"143": "1. Domain Entities & Schemas",
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"144": "11. Requisitos não funcionais",
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"145": "parse_arguments",
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"146": "Specification Quality Checklist: Convert Article JSON to Markdown",
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"147": "CLI Contract: `convert_article_to_markdown.py`",
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"148": "9. Interface CLI",
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"149": "sample_rss_xml",
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"150": "13. Estratégia de testes",
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"151": "6. Contrato de entrada",
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"152": "InherenceClassifier",
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"153": "convert_html_to_markdown",
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"154": "JSON Schema Contract: Deterministic Article Content Selection",
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"155": "5. Escopo",
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"156": "Los puntajes de River vs. Independiente Santa Fe, por la Copa Sudamericana - TyC Sports",
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"157": "valid_newspaper4k.md",
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"158": "valid_readability.md",
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"159": "test_normalize_list_author_url_filtering",
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"160": "test_normalize_date_invalid_and_placeholders",
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"161": "test_normalize_list_deduplication_preserves_case_and_order",
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"162": "test_normalize_date_iso_8601_variants",
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"163": "test_metadata_priority_original_url_all_fallbacks",
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"164": "test_normalize_scalar_non_string_types",
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"165": ".disambiguate",
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"166": "remove_duplicate_initial_h1",
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"167": "test_normalize_scalar_whitespace_collapsing"
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}
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