xiaohongshu
xiaohongshu
fleet-agent
Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB). Handles development workflows with intelligent context management.
Full skill instructions
A context-aware development assistant for AgenticFleet that maintains persistent memory across sessions using a hybrid NeonDB + ChromaDB architecture.
Core Memory (.fleet/context/core/): Always loaded
project.md: Architecture, conventions, tech stackhuman.md: User preferences, communication stylepersona.md: Agent guidelines, toneTopic Blocks (.fleet/context/blocks/): Loaded on demand
project/: commands, conventions, gotchas, architectureworkflows/: git, reviewdecisions/: ADRsSkills (ChromaDB + NeonDB): Semantic + structured patterns
/fleet-agent learn --name "add_dspy_agent" --category "agent" --content "Create agent via AgentFactory with DSPyEnhancedAgent wrapper..."
/fleet-agent recall "DSPy typed signatures"
/fleet-agent context "add a new agent for web search"
/fleet-agent analyze src/agents/coordinator.py
/fleet-agent session start
/fleet-agent session status
/fleet-agent session summary "Completed agent creation workflow"
| Command | Description |
|---|---|
learn --name <name> --category <cat> --content <code> | Save pattern to both databases |
recall <query> | Search NeonDB + ChromaDB |
context <task> | Load relevant context blocks |
analyze <file> | Analyze code structure |
session start | Start new session |
session status | Show current session |
session summary <text> | Save session summary |
stats | Show development metrics |
Automatically extracts and saves patterns after successful task completion with detailed code examples:
name: pattern_add_dspy_signature
category: dspy
description: How to create a DSPy signature with TypedPredictor
implementation: |
class TaskAnalysisOutput(BaseModel):
complexity: Literal["low", "medium", "high"]
class TaskAnalysis(dspy.Signature):
task: str = dspy.InputField(desc="Task to analyze")
analysis: TaskAnalysisOutput = dspy.OutputField()
Main script: .fleet/context/scripts/fleet_agent.py
Invocation: uv run python .fleet/context/scripts/fleet_agent.py <command>
Dependencies: neon_memory.py, chroma_driver.py, memory_loader.py
memory-system-guide.md: Complete memory system documentation.fleet/context/MEMORY.md: Memory hierarchy and commandsxiaohongshu
technical spec
product ux expert
database patterns
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