docs/projects/README.md

# Python Package Ideas: CLI Tools for AI & Daily Operations

A curated list of Python package ideas that combine CLI interfaces with AI capabilities for day-to-day productivity and agent automation.

## 📊 Data & Analytics Tools

### 1. **smart-csv**
- **Purpose**: Intelligent CSV manipulation with natural language queries
- **CLI Features**: 
  - `smart-csv query data.csv "show me top 10 customers by revenue"`
  - `smart-csv transform data.csv --operation "normalize dates"`
  - `smart-csv merge file1.csv file2.csv --ai-match-columns`
- **AI Integration**: LLM-powered column matching, data cleaning suggestions, anomaly detection
- **Agent Use**: Data preprocessing, ETL operations, report generation

### 2. **log-insight**
- **Purpose**: AI-powered log analysis and troubleshooting
- **CLI Features**:
  - `log-insight analyze app.log --find-errors`
  - `log-insight pattern-detect --timerange "last 24h"`
  - `log-insight explain-error "stack trace here"`
- **AI Integration**: Pattern recognition, root cause analysis, predictive alerts
- **Agent Use**: Automated debugging, system monitoring, incident response

### 3. **data-profiler-ai**
- **Purpose**: Automated data quality assessment and profiling
- **CLI Features**:
  - `data-profiler scan dataset.parquet --generate-report`
  - `data-profiler validate schema.json data.csv`
  - `data-profiler suggest-types unknown-data.csv`
- **AI Integration**: Schema inference, data type detection, quality scoring
- **Agent Use**: Data validation pipelines, schema evolution tracking

## 🤖 AI Agent Utilities

### 4. **prompt-forge**
- **Purpose**: Prompt template management and optimization
- **CLI Features**:
  - `prompt-forge create --template customer-support`
  - `prompt-forge test prompt.txt --model gpt-4 --iterations 10`
  - `prompt-forge optimize --goal "reduce tokens by 20%"`
- **AI Integration**: Prompt optimization, A/B testing, version control
- **Agent Use**: Dynamic prompt generation, context management

### 5. **agent-memory**
- **Purpose**: Persistent memory and context management for AI agents
- **CLI Features**:
  - `agent-memory store --key "user_preferences" --value "..."`
  - `agent-memory recall --query "what did user say about deadlines?"`
  - `agent-memory summarize --session-id abc123`
- **AI Integration**: Semantic search, context compression, memory consolidation
- **Agent Use**: Long-term memory, conversation history, knowledge graphs

### 6. **tool-registry**
- **Purpose**: Discover, validate, and manage tools for AI agents
- **CLI Features**:
  - `tool-registry search "weather API"`
  - `tool-registry validate my-tool.json`
  - `tool-registry generate-schema --from-function get_weather`
- **AI Integration**: Tool recommendation, capability matching, auto-documentation
- **Agent Use**: Dynamic tool discovery, function calling, API integration

## 📝 Document & Content Processing

### 7. **doc-extract-ai**
- **Purpose**: Intelligent document parsing and information extraction
- **CLI Features**:
  - `doc-extract parse invoice.pdf --extract "vendor, amount, date"`
  - `doc-extract batch-process ./documents --type receipts`
  - `doc-extract to-markdown presentation.pptx`
- **AI Integration**: Layout understanding, entity extraction, format conversion
- **Agent Use**: Document automation, data entry, content migration

### 8. **smart-summarize**
- **Purpose**: Multi-format content summarization
- **CLI Features**:
  - `smart-summarize article.txt --length 100`
  - `smart-summarize meeting-notes.md --extract-action-items`
  - `smart-summarize youtube-url --transcript-summary`
- **AI Integration**: Abstractive summarization, key point extraction, multi-document synthesis
- **Agent Use**: Report generation, meeting notes, research assistance

### 9. **content-repurpose**
- **Purpose**: Transform content across formats and styles
- **CLI Features**:
  - `content-repurpose blog-post.md --to twitter-thread`
  - `content-repurpose presentation.pptx --to blog-post`
  - `content-repurpose --style "technical to beginner-friendly"`
- **AI Integration**: Style transfer, format adaptation, audience targeting
- **Agent Use**: Content marketing, documentation, social media automation

## 🔍 Code & Development Tools

### 10. **code-review-ai**
- **Purpose**: Automated code review and improvement suggestions
- **CLI Features**:
  - `code-review analyze src/ --focus security`
  - `code-review suggest-refactor messy-function.py`
  - `code-review explain --file complex.py --line 42`
- **AI Integration**: Code understanding, best practice detection, vulnerability scanning
- **Agent Use**: CI/CD integration, code quality gates, learning assistant

### 11. **test-gen-ai**
- **Purpose**: Intelligent test case generation
- **CLI Features**:
  - `test-gen create --file calculator.py --coverage 90`
  - `test-gen edge-cases --function parse_date`
  - `test-gen from-spec requirements.md`
- **AI Integration**: Code analysis, edge case discovery, test oracle generation
- **Agent Use**: Test automation, TDD assistance, regression testing

### 12. **doc-string-ai**
- **Purpose**: Automated documentation generation
- **CLI Features**:
  - `doc-string generate src/ --style google`
  - `doc-string update --file api.py --sync-with-code`
  - `doc-string readme --project-root .`
- **AI Integration**: Code comprehension, example generation, API documentation
- **Agent Use**: Documentation maintenance, onboarding, API reference

## 🌐 Web & API Tools

### 13. **api-explorer-ai**
- **Purpose**: Intelligent API testing and exploration
- **CLI Features**:
  - `api-explorer discover https://api.example.com`
  - `api-explorer test --endpoint /users --generate-scenarios`
  - `api-explorer mock --from-openapi spec.yaml`
- **AI Integration**: Endpoint discovery, test case generation, response validation
- **Agent Use**: API integration, testing automation, mock server generation

### 14. **web-scrape-smart**
- **Purpose**: AI-powered web scraping with anti-detection
- **CLI Features**:
  - `web-scrape extract https://example.com --schema product-listing`
  - `web-scrape monitor --url news-site.com --alert-on-change`
  - `web-scrape batch urls.txt --parallel 5`
- **AI Integration**: Layout understanding, content extraction, CAPTCHA solving
- **Agent Use**: Data collection, price monitoring, content aggregation

## 📧 Communication & Workflow

### 15. **email-assistant-cli**
- **Purpose**: Email management and automation
- **CLI Features**:
  - `email-assistant draft --to client@example.com --context "project update"`
  - `email-assistant triage inbox --auto-label --priority-score`
  - `email-assistant respond --template "meeting-request"`
- **AI Integration**: Email classification, response generation, sentiment analysis
- **Agent Use**: Email automation, customer support, scheduling

### 16. **meeting-prep-ai**
- **Purpose**: Automated meeting preparation and follow-up
- **CLI Features**:
  - `meeting-prep agenda --topic "Q4 planning" --attendees team.json`
  - `meeting-prep transcribe recording.mp3 --extract-decisions`
  - `meeting-prep follow-up --assign-tasks`
- **AI Integration**: Agenda generation, transcription, action item extraction
- **Agent Use**: Meeting automation, task management, documentation

### 17. **slack-digest**
- **Purpose**: Intelligent Slack/Teams message summarization
- **CLI Features**:
  - `slack-digest summarize --channel engineering --since yesterday`
  - `slack-digest extract-decisions --thread-url "..."`
  - `slack-digest notify --important-only`
- **AI Integration**: Message clustering, importance scoring, thread summarization
- **Agent Use**: Team communication, information retrieval, notification management

## 🔧 System & DevOps Tools

### 18. **config-validator-ai**
- **Purpose**: Intelligent configuration validation and optimization
- **CLI Features**:
  - `config-validator check docker-compose.yml --suggest-improvements`
  - `config-validator migrate --from v1 --to v2`
  - `config-validator security-scan kubernetes/`
- **AI Integration**: Best practice detection, security analysis, migration assistance
- **Agent Use**: Infrastructure as code, deployment automation, security compliance

### 19. **error-translator**
- **Purpose**: Translate technical errors to actionable solutions
- **CLI Features**:
  - `error-translator explain "segmentation fault core dumped"`
  - `error-translator fix --error-log build.log --suggest-commands`
  - `error-translator learn-from-fix --before error.txt --after solution.txt`
- **AI Integration**: Error pattern matching, solution database, context-aware suggestions
- **Agent Use**: Debugging assistance, self-healing systems, knowledge base

### 20. **dependency-doctor**
- **Purpose**: Smart dependency management and conflict resolution
- **CLI Features**:
  - `dependency-doctor audit --fix-vulnerabilities`
  - `dependency-doctor optimize --reduce-size`
  - `dependency-doctor explain --package requests --why-needed`
- **AI Integration**: Dependency graph analysis, alternative suggestions, impact prediction
- **Agent Use**: Security patching, build optimization, dependency updates

## 🎨 Creative & Media Tools

### 21. **image-caption-cli**
- **Purpose**: Automated image analysis and captioning
- **CLI Features**:
  - `image-caption generate photo.jpg --style descriptive`
  - `image-caption batch-process ./photos --alt-text`
  - `image-caption search ./images --query "sunset beach"`
- **AI Integration**: Vision models, semantic search, accessibility text generation
- **Agent Use**: Content management, SEO optimization, accessibility compliance

### 22. **video-chapter-ai**
- **Purpose**: Automatic video chapter generation and editing
- **CLI Features**:
  - `video-chapter detect video.mp4 --create-chapters`
  - `video-chapter highlight --topic "product demo"`
  - `video-chapter transcribe --with-timestamps`
- **AI Integration**: Scene detection, topic segmentation, speech recognition
- **Agent Use**: Video processing, content creation, accessibility

## 🔐 Security & Privacy Tools

### 23. **secret-scanner-ai**
- **Purpose**: Intelligent secret detection and rotation
- **CLI Features**:
  - `secret-scanner scan . --deep`
  - `secret-scanner rotate --service aws --auto-update-configs`
  - `secret-scanner audit-history --find-leaks`
- **AI Integration**: Pattern learning, false positive reduction, context-aware detection
- **Agent Use**: Security automation, compliance, incident response

### 24. **privacy-guard-cli**
- **Purpose**: PII detection and data anonymization
- **CLI Features**:
  - `privacy-guard scan dataset.csv --detect-pii`
  - `privacy-guard anonymize --method k-anonymity`
  - `privacy-guard compliance-check --regulation GDPR`
- **AI Integration**: Entity recognition, anonymization strategies, compliance validation
- **Agent Use**: Data processing, compliance automation, privacy engineering

## 📚 Knowledge & Research Tools

### 25. **paper-digest**
- **Purpose**: Academic paper summarization and analysis
- **CLI Features**:
  - `paper-digest summarize paper.pdf --technical-level intermediate`
  - `paper-digest compare paper1.pdf paper2.pdf`
  - `paper-digest extract-methods --output markdown`
- **AI Integration**: Scientific text understanding, citation analysis, methodology extraction
- **Agent Use**: Research assistance, literature review, knowledge synthesis

### 26. **kb-builder**
- **Purpose**: Automated knowledge base construction
- **CLI Features**:
  - `kb-builder index ./docs --create-embeddings`
  - `kb-builder query "how to deploy?" --with-sources`
  - `kb-builder update --incremental --watch`
- **AI Integration**: Semantic search, document chunking, question answering
- **Agent Use**: Documentation search, customer support, internal wiki

### 27. **citation-manager-ai**
- **Purpose**: Smart citation management and bibliography generation
- **CLI Features**:
  - `citation-manager extract paper.pdf --format bibtex`
  - `citation-manager validate references.bib`
  - `citation-manager suggest-related --topic "machine learning"`
- **AI Integration**: Citation extraction, duplicate detection, related work discovery
- **Agent Use**: Academic writing, research management, bibliography maintenance

## 🎯 Productivity & Automation

### 28. **task-prioritizer**
- **Purpose**: AI-powered task management and prioritization
- **CLI Features**:
  - `task-prioritizer add "implement feature X" --context project.md`
  - `task-prioritizer suggest-next --based-on energy-level:low`
  - `task-prioritizer estimate --task "write tests"`
- **AI Integration**: Priority scoring, time estimation, dependency detection
- **Agent Use**: Project management, personal productivity, resource allocation

### 29. **workflow-optimizer**
- **Purpose**: Analyze and optimize repetitive workflows
- **CLI Features**:
  - `workflow-optimizer record --name "daily-standup-prep"`
  - `workflow-optimizer analyze --suggest-automation`
  - `workflow-optimizer generate-script --workflow deployment`
- **AI Integration**: Pattern detection, automation suggestions, efficiency analysis
- **Agent Use**: Process automation, productivity improvement, workflow design

### 30. **context-switch-helper**
- **Purpose**: Manage context switching with AI assistance
- **CLI Features**:
  - `context-switch save --project backend-api`
  - `context-switch restore --project frontend`
  - `context-switch summarize --what-changed-since-last`
- **AI Integration**: State capture, change summarization, context reconstruction
- **Agent Use**: Developer productivity, project management, focus optimization

---

## 🏗️ Implementation Considerations

### Common Features Across Tools:
- **Streaming Output**: Real-time progress for long-running operations
- **Configuration Files**: YAML/TOML config for defaults and presets
- **Plugin Architecture**: Extensible with custom processors/models
- **Multi-Model Support**: OpenAI, Anthropic, local models (Ollama)
- **Caching**: Intelligent caching to reduce API costs
- **Batch Processing**: Handle multiple files/inputs efficiently
- **Output Formats**: JSON, Markdown, CSV, HTML for different use cases
- **Logging & Telemetry**: Track usage, errors, and performance
- **Offline Mode**: Local model support for privacy/offline use

### Agent-Friendly Design Patterns:
1. **Structured Output**: JSON schemas for reliable parsing
2. **Idempotency**: Safe to retry operations
3. **Progress Tracking**: Machine-readable status updates
4. **Error Codes**: Standardized exit codes and error messages
5. **Composability**: Unix philosophy - do one thing well, pipe-friendly
6. **API Mode**: HTTP server mode for agent integration
7. **Webhooks**: Event-driven notifications for async operations

### Technology Stack Suggestions:
- **CLI Framework**: Click, Typer, or argparse
- **AI Integration**: LangChain, LlamaIndex, or direct API calls
- **Async Operations**: asyncio, aiohttp for concurrent processing
- **Configuration**: Pydantic for validation, dynaconf for management
- **Testing**: pytest with fixtures for AI mocking
- **Packaging**: Poetry or uv for dependency management
- **Distribution**: PyPI, with optional Docker images

---

## 📈 Market Opportunities

### High-Impact Categories:
1. **Developer Tools** (code-review-ai, test-gen-ai, doc-string-ai)
2. **Data Processing** (smart-csv, data-profiler-ai, doc-extract-ai)
3. **Content Creation** (smart-summarize, content-repurpose)
4. **Security** (secret-scanner-ai, privacy-guard-cli)
5. **Productivity** (task-prioritizer, email-assistant-cli)

### Differentiation Strategies:
- **Local-First**: Privacy-focused with local model support
- **Cost-Optimized**: Intelligent caching and batching to reduce API costs
- **Domain-Specific**: Deep expertise in particular verticals
- **Integration-Rich**: Works with existing tools (Git, Jira, Slack)
- **Open Source**: Community-driven with premium features

---

*Generated: 2025-12-04*