feat(pipeline): implement Pipeline DSL system for automated workflows
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Add complete Pipeline DSL system including:
- Rust backend (zclaw-pipeline crate) with parser, executor, and state management
- Frontend components: PipelinesPanel, PipelineResultPreview, ClassroomPreviewer
- Pipeline recommender for Agent conversation integration
- 5 pipeline templates: education, marketing, legal, research, productivity
- Documentation for Pipeline DSL architecture
Pipeline DSL enables declarative workflow definitions with:
- YAML-based configuration
- Expression resolution (${inputs.topic}, ${steps.step1.output})
- LLM integration, parallel execution, file export
- Agent smart recommendations in conversations
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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crates/zclaw-pipeline/src/lib.rs
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56
crates/zclaw-pipeline/src/lib.rs
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//! ZCLAW Pipeline Engine
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//!
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//! Declarative pipeline system for multi-step automation workflows.
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//! Pipelines orchestrate Skills and Hands to accomplish complex tasks.
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//!
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//! # Architecture
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//!
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//! ```text
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//! Pipeline YAML → Parser → Pipeline struct → Executor → Output
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//! ↓
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//! ExecutionContext (state)
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//! ```
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//!
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//! # Example
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//!
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//! ```yaml
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//! apiVersion: zclaw/v1
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//! kind: Pipeline
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//! metadata:
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//! name: classroom-generator
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//! displayName: 互动课堂生成器
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//! category: education
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//! spec:
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//! inputs:
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//! - name: topic
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//! type: string
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//! required: true
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//! steps:
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//! - id: parse
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//! action: llm.generate
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//! template: skills/classroom/parse.md
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//! output: parsed
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//! - id: render
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//! action: classroom.render
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//! input: ${steps.parse.output}
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//! output: result
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//! outputs:
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//! classroom_id: ${steps.render.output.id}
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//! ```
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pub mod types;
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pub mod parser;
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pub mod state;
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pub mod executor;
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pub mod actions;
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pub use types::*;
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pub use parser::*;
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pub use state::*;
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pub use executor::*;
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pub use actions::ActionRegistry;
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/// Convenience function to parse pipeline YAML
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pub fn parse_pipeline_yaml(yaml: &str) -> Result<Pipeline, parser::ParseError> {
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parser::PipelineParser::parse(yaml)
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}
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