Agent Skill
2/7/2026

meta-evolve

Evolve agent prompts using genetic algorithms and historical performance data

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psd401
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npx skills add psd401/psd-claude-coding-system

SKILL.md

Namemeta-evolve
DescriptionEvolve agent prompts using genetic algorithms and historical performance data

PSD Claude Coding System

Peninsula School District's comprehensive Claude Code plugin for AI-assisted software development.

License: MIT Claude Code Version

Overview

One unified plugin combining battle-tested development workflows with memory-based learning and knowledge compounding.

Version: 1.25.1 Status: Production-Ready Workflows + Memory-Based Learning


Quick Start

# Install the marketplace
/plugin marketplace add psd401/psd-claude-coding-system

# Install the plugin
/plugin install psd-claude-coding-system

# Start using immediately
/work 347              # Implement an issue
/test                  # Run tests
/evolve               # Auto-evolve the plugin

What's New in v1.25.1

Iterative /review-pr — Multi-Round PR Feedback Handling

Key Changes

  • Incremental detection/review-pr now detects previous runs via PR comment markers and only processes NEW feedback since the last round
  • Round tracking — Each run embeds <!-- review-pr:round:N:timestamp:T:sha:S --> in the summary comment, enabling stateless cross-session tracking
  • Smart agent dispatch — Always-on structural review agents (architecture-strategist, code-simplicity-reviewer, pattern-recognition-specialist) run on Round 1 only; rounds 2+ focus on addressing reviewer feedback
  • Early exit — If no new feedback exists since last round, exits with "PR up to date" message
  • --full flag — Force a complete re-review: /review-pr 123 --full

How It Works

PSD Claude Coding System - Complete Workflow

The plugin provides a complete development lifecycle:

  1. Planning - Create issues (/issue) or break down big ideas into epics (/product-manager), design architecture (/architect)
  2. Implementation - Work on issues (/work 347) with automatic agent assistance
  3. Validation - Run tests (/test), handle PR feedback (/review-pr)
  4. Completion - Clean up (/clean-branch), evolve the plugin (/evolve)

Workflow Commands

CommandDescriptionExample
/workImplement solutions with auto reviews + learning capture/work 347
/lfgAutonomous end-to-end: implement → test → review → fix → learn/lfg 347
/architectSystem architecture design/architect "caching system"
/testComprehensive testing with self-healing + learning capture/test auth
/review-prIterative PR feedback (rounds 2+ process only new comments)/review-pr 123
/issueAI-validated GitHub issues/issue "add caching"
/product-managerProduct specs to sub-issues/product-manager "dashboard"
/security-auditSecurity analysis/security-audit
/scopeScope classification + tiered planning/scope "add caching"
/evolveAuto-evolve: analyze learnings, check releases, compare plugins/evolve
/clean-branchPost-merge cleanup/clean-branch
/triageFreshService ticket triage/triage 12345

AI Agents (42 total)

Review Specialists (14 agents)

security-analyst · security-analyst-specialist · deployment-verification-agent · data-migration-expert · agent-native-reviewer · architecture-strategist · code-simplicity-reviewer · pattern-recognition-specialist · schema-drift-detector · data-integrity-guardian · typescript-reviewer · python-reviewer · swift-reviewer · sql-reviewer

Domain Specialists (7 agents)

backend-specialist · frontend-specialist · database-specialist · llm-specialist · ux-specialist · architect-specialist · shell-devops-specialist

Quality (3 agents)

test-specialist · performance-optimizer · documentation-writer

Research (6 agents)

learnings-researcher · spec-flow-analyzer · best-practices-researcher · framework-docs-researcher · git-history-analyzer · repo-research-analyst

Workflow (4 agents)

bug-reproduction-validator · work-researcher · work-validator · learning-writer

Meta & Validation (6 agents)

meta-reviewer · plan-validator · document-validator · configuration-validator · breaking-change-validator · telemetry-data-specialist

External AI (2 agents)

gpt-5-codex (GPT-5.3-Codex) · gemini-3-pro (Gemini 3.1 Pro)


Knowledge Compounding System

Knowledge Compounding System

The plugin includes a hybrid knowledge capture system:

Project Learnings (./docs/learnings/)

  • Store project-specific patterns and solutions (local only, gitignored)
  • Automatically searched before implementation via learnings-researcher
  • Automatically captured by /work, /test, /review-pr, /lfg via learning-writer agent
  • Auto-deleted after 90 days by /evolve TTL cleanup

Plugin Patterns (docs/patterns/)

  • Universal patterns shared across all projects
  • Contributed via /evolve (auto-detects uncontributed universal learnings)
  • Available to all plugin users after merge

Language-Specific Reviews

The plugin automatically detects languages in changed files and invokes appropriate reviewers:

LanguageExtensionsReviewer
TypeScript.ts, .tsx, .js, .jsxtypescript-reviewer
Python.pypython-reviewer
Swift.swiftswift-reviewer
SQL.sql, *migration*sql-reviewer

Dual-Phase Review

  1. Light Mode (pre-PR in /work): Quick checks, critical issues only
  2. Full Mode (post-PR in /review-pr): Comprehensive deep analysis

Installation

From GitHub (Recommended)

/plugin marketplace add psd401/psd-claude-coding-system
/plugin install psd-claude-coding-system

Verify Installation

/plugin list
# Should show: psd-claude-coding-system (v1.25.1)

# Test a command
/evolve

Usage Examples

Basic Workflow

# Work on an issue
/work 347

# Run tests
/test

# Create PR and handle feedback
/review-pr 123

# Clean up after merge
/clean-branch

# Evolve the plugin (auto-picks highest-value action)
/evolve

Architecture

plugins/psd-claude-coding-system/
├── skills/                    # 12 user-invocable skills
│   ├── work/SKILL.md          # Main implementation workflow
│   ├── lfg/SKILL.md           # Autonomous end-to-end workflow
│   ├── evolve/SKILL.md        # Auto-evolve (learnings, releases, comparison)
│   └── ...                    # Other workflow skills
├── agents/                    # 42 specialized agents
│   ├── review/                # 14 code review specialists
│   ├── domain/                # 7 domain experts
│   ├── quality/               # 3 quality assurance
│   ├── research/              # 6 research agents
│   ├── workflow/              # 4 workflow agents
│   ├── external/              # 2 external AI providers
│   ├── meta/                  # 1 meta-reviewer
│   └── validation/            # 5 validators
├── docs/
│   ├── learnings/             # Project learnings (auto-captured)
│   └── patterns/              # Universal patterns
├── scripts/
│   ├── post-edit-validate.sh  # PostToolUse syntax validation
│   └── language-detector.sh   # Language detection utility
└── hooks/
    └── hooks.json             # PostToolUse validation hook

Compound Engineering Principles

Every interaction creates improvement opportunities:

  • Every bug → prevention system
  • Every manual process → automation candidate
  • Every solution → template for similar problems
  • Every workflow → captured learning for future sessions

Use /evolve to analyze accumulated learnings and improve the plugin. /work, /test, /review-pr, and /lfg always dispatch the learning-writer agent automatically (it handles deduplication).


Documentation


Support


Acknowledgments

License

MIT License - see LICENSE for details


Peninsula School District - Innovating education through technology

Skills Info
Original Name:meta-evolveAuthor:psd401