CHANGELOG

2025-12-25T05:45:00+08:00 - Implemented workflow_engine MVP

Key changes: Created workflow_engine/ directory, implemented file event hooks + state machine scheduler
Files/modules involved:
- workflow_engine/runner.py - State machine scheduler, supports start/dispatch/status commands
- workflow_engine/hook_runner.sh - inotify file watching hook
- workflow_engine/state/current_step.json - State file
- workflow_engine/README.md - Usage documentation
Verification method and results: python runner.py start successfully executed step1→step5 full flow, artifacts saved to artifacts/
Remaining issues and next steps: Integrate actual LLM calls to replace MOCK; add CI integration examples

Key changes: Researched the five prompts under workflow_steps, analyzed closed-loop and master control requirements, output an implementable state machine/hook-style orchestrator design (no code changes).
Files/modules involved: step1_requirements.jsonl, step2_execution_plan.jsonl, step3_implementation.jsonl, step4_verification.jsonl, step5_controller.jsonl (read only).
Verification method and results: Analytical output, no code execution, TODO.
Remaining issues and next steps: Implement orchestrator MVP; calibrate JSONL with PARE v3.0 structure; add persistent state and task queue for master control loop.

Key changes: Migrated i18n/zh/skills/01-AI工具/workflow-orchestrator to prompt_jsonl/workflow_steps/ directory.
Files/modules involved: workflow-orchestrator/SKILL.md, workflow-orchestrator/AGENTS.md, workflow-orchestrator/references/index.md, workflow-orchestrator/CHANGELOG.md.
Verification method and results: Command line mv followed by directory structure check, files intact.
Remaining issues and next steps: Add workflow_engine scripts in new location and align with skill documentation.