Prompt
Specify a webhook-driven task for OpenClaw
Describe event inputs, validation, deduplication, and intended actions before integration work.
OpenClawDevelopment & Engineering
Dave AI
Haystack Pipeline Skill
Haystack NLP pipeline configuration for document processing and QA
instructions.md
--- name: haystack-pipeline-16e7c5fcbe37 description: Haystack NLP pipeline configuration for document processing and QA allowed-tools: - Read - Write - Edit - Bash - Glob - Grep graph: domains: [domain:software-engineering] specializations: [specialization:ai-agents-conversational] skillAreas: [skill-area:retrieval-augmented-generation, skill-area:natural-language-processing] roles: [role:ml-engineer, role:backend-engineer] workflows: [workflow:ml-model-lifecycle, workflow:feature-development] --- # Haystack Pipeline Skill ## Capabilities - Configure Haystack pipeline components - Set up document stores and retrievers - Implement reader/generator models - Design custom pipeline graphs - Configure preprocessing pipelines - Implement evaluation pipelines ## Target Processes - rag-pipeline-implementation - intent-classification-system ## Implementation Details ### Core Components 1. **DocumentStores**: Elasticsearch, Weaviate, FAISS, etc. 2. **Retrievers**: BM25, Dense, Hybrid 3. **Readers/Generators**: Extractive and generative QA 4. **Preprocessors**: Document cleaning and splitting ### Pipeline Types - Retrieval pipelines - RAG pipelines - Evaluation pipelines - Indexing pipelines ### Configuration Options - Component selection - Pipeline graph design - Document store backend - Model selection - Preprocessing settings ### Best Practices - Modular pipeline design - Proper preprocessing - Evaluation integration - Component versioning ### Dependencies - haystack-ai - farm-haystack (legacy)--- name: haystack-pipeline-16e7c5fcbe37 description: Haystack NLP pipeline configuration for document processing and QA allowed-tools: - Read - Write - Edit - Bash - Glob - Grep graph: domains: [domain:software-engineering] specializations: [specialization:ai-agents-conversational] skillAreas: [skill-area:retrieval-augmented-generation, skill-area:natural-language-processing] roles: [role:ml-engineer, role:backend-engineer] workflows: [workflow:ml-model-lifecycle, workflow:feature-development] --- # Haystack Pipeline Skill ## Capabilities - Configure Haystack pipeline components - Set up document stores and retrievers - Implement reader/generator models - Design custom pipeline graphs - Configure preprocessing pipelines - Implement evaluation pipelines ## Target Processes - rag-pipeline-implementation - intent-classification-system ## Implementation Details ### Core Components 1. **DocumentStores**: Elasticsearch, Weaviate, FAISS, etc. 2. **Retrievers**: BM25, Dense, Hybrid 3. **Readers/Generators**: Extractive and generative QA 4. **Preprocessors**: Document cleaning and splitting ### Pipeline Types - Retrieval pipelines - RAG pipelines - Evaluation pipelines - Indexing pipelines ### Configuration Options - Component selection - Pipeline graph design - Document store backend - Model selection - Preprocessing settings ### Best Practices - Modular pipeline design - Proper preprocessing - Evaluation integration - Component versioning ### Dependencies - haystack-ai - farm-haystack (legacy)
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.