Skip to content

boshu2/agentops

Repository files navigation

Knowledge OS - Claude Code Plugin Marketplace

Production-ready patterns for AI-assisted development. The Research → Plan → Implement workflow, session persistence, and 55 specialized agents.

See it in action →

Quick Install

# Clone to your plugins directory
git clone https://github.com/boshu2/agentops.git ~/.claude/plugins/knowledge-os

# Or add as marketplace
/plugin marketplace add boshu2/agentops

What's Included

Category Count Description
Commands 29 RPI workflow, sessions, bundles, quality, documentation
Agents 55 Specialized agents across 8 domains
Skills 7 Domain knowledge packs

Core Workflow

graph LR
    R["Research"] -->|bundle| P["Plan"]
    P -->|spec| I["Implement"]
    I -->|patterns| L["Learn"]
    L -.->|next| R
Loading

Essential Commands

/research          # Deep exploration before planning
/plan              # Create implementation plan
/implement         # Execute approved plan with validation

/session-start     # Initialize session with context
/session-end       # Save progress and summarize

/bundle-save       # Save context for multi-session work
/bundle-load       # Resume from saved context

Agent Categories

Domain Count Examples
Code Quality 8 code-reviewer, test-generator, validation-planner
Languages 7 golang-pro, python-pro, typescript-pro, rust-pro, java-pro
Architecture 6 backend-architect, spec-architect, fullstack-developer
DevOps 5 deployment-engineer, incident-responder, error-detective
Documentation 5 api-documenter, doc-explorer, documentation-create-docs
Data/ML 4 data-engineer, ml-engineer, ai-engineer, mlops-engineer
Security 3 penetration-tester, risk-assessor, continuous-validator
Meta 5 context-manager, task-decomposition-expert, prompt-engineer

All Agents

55 agents (click to expand)
  • accessibility-specialist
  • ai-engineer
  • api-documenter
  • archive-researcher
  • assumption-validator
  • autonomous-worker
  • backend-architect
  • change-executor
  • code-explorer
  • code-review-improve
  • code-reviewer
  • connection-agent
  • context-manager
  • continuous-validator
  • customer-support
  • data-engineer
  • data-scientist
  • deployment-engineer
  • doc-explorer
  • document-structure-analyzer
  • documentation-create-docs
  • documentation-diataxis-auditor
  • documentation-optimize-docs
  • error-detective
  • frontend-developer
  • fullstack-developer
  • golang-pro
  • history-explorer
  • incident-responder
  • incidents-postmortems
  • incidents-response
  • ios-developer
  • java-pro
  • meta-memory-manager
  • meta-observer
  • meta-retro-analyzer
  • ml-engineer
  • mlops-engineer
  • mobile-developer
  • monitoring-alerts-runbooks
  • network-engineer
  • penetration-tester
  • performance-engineer
  • prompt-engineer
  • python-pro
  • risk-assessor
  • rust-pro
  • shell-scripting-pro
  • spec-architect
  • task-decomposition-expert
  • test-generator
  • tracer-bullet-deployer
  • typescript-pro
  • ui-ux-designer
  • validation-planner

Skills

Skill Purpose
base Foundation patterns and templates
brand-guidelines Consistent documentation styling
doc-curator Documentation quality management
git-workflow Git best practices and automation
skill-creator Create new skills from patterns
test-gap-scanner Identify missing test coverage
testing Test patterns and frameworks

Vibe Levels

Trust calibration for AI collaboration:

Level Trust Verification Use For
L5 95% Final only Formatting, linting
L4 80% Spot check Boilerplate, config
L3 60% Key outputs Standard features
L2 40% Every change New features
L1 20% Every line Architecture, security
L0 0% Research only Novel exploration

Vibe Coding Ecosystem

Based on Vibe Coding by Gene Kim & Steve Yegge.

The FAAFO Promise

Letter Meaning Result
F Fast 10-16x productivity gains
A Ambitious Projects become feasible solo
A Autonomous Team-scale output from individuals
F Fun 50% more flow state time
O Optionality 120x more exploration options

Three Feedback Loops

Loop Timeframe Focus
Inner Seconds Individual prompts and responses
Middle Hours Work sessions or features
Outer Days-weeks Architecture and direction

The 40% Rule

Context utilization matters:

  • Below 40% → 98% success rate
  • Above 60% → 24% success rate

Higher context causes AI to forget instructions and contradict itself.

Twelve Failure Patterns

Watch for: Tests Passing Lie, Fix Spiral, Eldritch Horror, Silent Deletion, Confident Hallucination, and others documented in the book.

Related

License

MIT

About

Claude Code plugin marketplace - 12-Factor AgentOps patterns, session management, vibe coding framework

Topics

Resources

License

Code of conduct

Contributing

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •