QredenceOfficial·11 Agent Skills Included

agentic-fleet

Self-optimizing multi-agent task routing and orchestration pipeline

Routes tasks to specialized agents through a five-phase pipeline of analysis, routing, execution, progress, and quality scoring. Eliminates manual prompt tuning with offline DSPy optimization, typed signatures, and routing caches for sub-second simple queries. Includes persistent memory skills, code review automation, and changelog generation to speed up daily development workflows.

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npx skills add Qredence/agentic-fleet --all -g -y

Available:

Gives your AI agent the project architecture, pipeline phases, and command conventions it needs to work on this codebase and route tasks through the orchestration system correctly.

All Skills in This Repository (11)

Pure Emerald Level Indicators

📦 In Repo

Qredence

system-init

Initialize agent memory by creating templates, config files, and recall scratchpad.

system-learn

Ingest markdown files into ChromaDB for semantic procedural memory retrieval.

reflect

Summarize session tasks, decisions, and open issues into recall history files.

recall

Search the memory system for relevant snippets, metadata, and related skills.

fleet-agent

Manage AgenticFleet development sessions with dual memory and auto-learning.

dspy-agent-framework-quick-ref

Reference DSPy and Agent Framework integration patterns with typed signatures and handoffs.

dspy-agent-framework-integration

Integrate DSPy with the Microsoft Agent Framework for typed signatures and orchestration.

AgenticFleet Memory System Guide

Coordinate local and Chroma Cloud memory to persist agent context across sessions.

python-backend-reviewer

Analyze Python backend code for complexity, duplication, and anti-patterns.

initiate-memory

Initialize and reorganize agent memory with a structured project context plan.

changelog-generator

Convert git commits into customer-facing release notes.

Official

Intermediate

Frequently Asked Questions

FAQPage Schema

How to install AgenticFleet?▼

Run `npx skills add Qredence/agentic-fleet --all -g -y` in your terminal to install all skills in this suite globally.

What does AgenticFleet do?▼

It routes tasks to specialized agents through a five-phase pipeline covering analysis, routing, execution, progress tracking, and quality scoring. It combines DSPy structured reasoning with the Microsoft Agent Framework for reliable execution.

How does the memory system work?▼

It uses a two-tier design with local markdown context files plus Chroma Cloud semantic search. Agents can recall past solutions, learn new patterns, and reflect on sessions to improve over time.

Can it review Python backend code automatically?▼

Yes. The included reviewer skill detects duplicate code, high complexity, recreated utilities, and concurrency issues, then suggests concrete refactoring fixes with line-level detail.

Does AgenticFleet support human-in-the-loop workflows?▼

Yes. Workflows can pause on request events and wait for user responses, and interrupted runs can be resumed from checkpoints.