By griffnb
AI-powered development tools with session learning capture. 6 agents, 3 commands, 9 skills, 1 hook, 2 MCP servers for code review, workflow automation, and meta-learning.
Manually capture learnings from the current session and create/update skills
Create a new Go model with controller, following project conventions for models, controllers, and routing
Preview what learnings would be captured from current session without creating files
Use to gather how the code base works and what code should be used. Ask it specific questions for it to hunt, i.e. I need to implement a field on Account model, what fields are there and how do i do a number field?
Use this agent when implementing new features, refactoring code, reviewing architecture decisions, generating production Go backend code, or ensuring clean, maintainable design patterns
You are the Learning Analyzer, an autonomous agent specializing in extracting valuable knowledge from development sessions and codifying it into reusable skills.
Use this agent when writing Go tests, implementing TDD workflow, testing controllers/models/services, or building comprehensive test suites with proper mocking and assertions
Code generation for CRUD endpoints
controller and API setup and basic patterns. Use when you need controller permissions, controller post data, controller params and queries, or setup a new controller or API route
Controller role handling. Use when you need to setup a api endpoint with the right permissions and roles
database column setup. Use when you need to create or update a database column
This skill should be used when analyzing development sessions to extract learnings, determining what constitutes valuable knowledge to capture, creating skills from session insights, or evaluating whether patterns are worth codifying for reuse.
External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
Has parse errors
Some configuration could not be fully parsed
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A Claude Code plugin that makes each unit of engineering work easier than the last.
/plugin marketplace add https://github.com/EveryInc/compound-engineering-plugin
/plugin install compound-engineering
Plan → Work → Review → Compound → Repeat
| Command | Purpose |
|---|---|
/workflows:plan | Turn feature ideas into detailed implementation plans |
/workflows:work | Execute plans with worktrees and task tracking |
/workflows:review | Multi-agent code review before merging |
/workflows:compound | Document learnings to make future work easier |
Each cycle compounds: plans inform future plans, reviews catch more issues, patterns get documented.
Each unit of engineering work should make subsequent units easier—not harder.
Traditional development accumulates technical debt. Every feature adds complexity. The codebase becomes harder to work with over time.
Compound engineering inverts this. 80% is in planning and review, 20% is in execution:
npx claudepluginhub griffnb/claude-pluginsAI-powered development tools. 29 agents, 24 commands, 18 skills, 1 MCP server for code review, research, design, and workflow automation.
Compound Engineering workflow: PRD-driven sprints, isolated worktrees, hook-enforced safety, automated learning. Skills become /vini-workflow:plan, /vini-workflow:compound, etc.
Harness for Claude Code — skills, /harness:* slash commands, persona subagents, lifecycle hooks, and MCP tools without per-repo `harness setup`. Sibling plugins exist for Cursor, Gemini CLI, and Codex.
Comprehensive Software engineering agents specializing in professional spec- and test-driven development of artifacts.
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
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