By TechNickAI
Automate development workflows with AI agents that review code, fix bugs, generate PRs, and manage sessions across AI coding assistants. Includes agents for performance, security, UX, and error debugging to improve code quality.
Triage and address PR comments from code review bots - analyzes feedback, prioritizes issues, fixes valid concerns, and declines incorrect suggestions
Set up or update AI coding configurations - interactive setup for Claude Code, Cursor, and other AI coding tools
Execute development task autonomously from description to PR-ready - handles implementation, testing, and git workflow without supervision
Clean up a git worktree after its PR has been merged - verifies merge status and safely removes the worktree directory
Autonomously triage and resolve a GitHub issue from analysis to PR ready for merge - handles investigation, fixes, testing, and PR workflow
When creating custom agent files in `.claude/agents/`, the YAML frontmatter format
Use when reviewing architecture, checking design patterns, auditing dependencies, or catching structural problems before they multiply
Use when completing tasks autonomously, working independently, delivering PR-ready code, or needing end-to-end implementation without supervision
Use when scanning for code pattern inconsistencies - prop naming, implementation approaches, boolean conventions, import patterns, deprecated usage
Use when reviewing comments, checking docstrings, auditing documentation accuracy, or finding stale/misleading comments in code
Use when facing hard architectural decisions, multiple valid approaches exist, need diverse perspectives before committing, or want M-of-N synthesis on complex problems
Use when rough ideas need design before code, requirements are fuzzy, multiple approaches exist, or you need to explore options before implementation
Use when finding meeting transcripts, searching Fireflies recordings, getting action items from calls, or answering 'what was discussed in the meeting' questions
Use when finding new AI agent skills, discovering capabilities, installing skills from GitHub, searching skill marketplaces, or expanding what Claude can do - like Neo downloading martial arts in The Matrix
Use when managing project learnings - view, add, search, prune, or export operational knowledge that persists across sessions
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
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Curated commands, agents, and rules for Claude Code, Cursor, Windsurf, and Cline.
A shared configuration that works across AI coding tools. Commands automate workflows (PR handling, debugging, session management). Agents specialize in specific review types (security, performance, UX). Rules encode your coding standards so AI follows your patterns.
Run this in your terminal — it auto-detects your tools (Claude Code, Cursor, etc.) and sets everything up:
curl -fsSL https://raw.githubusercontent.com/TechNickAI/ai-coding-config/main/scripts/bootstrap.sh | bash
Then configure for your project:
/ai-coding-config
If you prefer to install manually, run these in Claude Code:
/plugin marketplace add https://github.com/TechNickAI/ai-coding-config
/plugin install ai-coding-config
The problem: Claude Code's context compaction summarizes conversation history to stay within token limits. When this happens, your todo list vanishes - you lose track of what you were working on.
The solution: This plugin automatically saves todos to disk via hooks. After compaction, restore them:
cat ~/.claude/projects/$(echo $PWD | sed 's|/|-|g')/todos.md
Then use TodoWrite to restore your progress. Your todos survive compaction, session
restarts, and even --resume across days.
# Triage PR bot comments (fixes real issues, declines nitpicks)
/address-pr-comments
# Load coding standards for current task
/load-rules
# Autonomous task execution: describe what you want, get a PR
/autotask "add user settings page with dark mode toggle"
| Type | Count | Purpose |
|---|---|---|
| Commands | 18 | Automate workflows |
| Agents | 24 | Specialized assistants |
| Skills | 6 | Autonomous capabilities |
| Rules | 33 | Coding standards |
| Personalities | 7 | Communication styles |
Slash commands that automate real workflows. Type /command-name to invoke.
/autotask "description" - Describe what you want, get a PR. Creates branch,
implements, writes tests, handles bot feedback.
/autotask "add user settings page with dark mode toggle"
/troubleshoot - Connects to Sentry/HoneyBadger, analyzes errors, fixes bugs in
parallel worktrees, submits PRs with root cause analysis.
/verify-fix - Confirms fixes actually work before claiming success. Runs tests,
checks live behavior.
/address-pr-comments - Triages bot comments: fixes real issues, declines nitpicks,
iterates until merge-ready.
/multi-review - Runs multiple specialized reviewers in parallel. Security, logic,
performance, style - all at once.
/session save|resume|list - Save your context, decisions, and progress. Resume
exactly where you left off - even in a new conversation.
/session save "auth-refactor" # Save current session
/session resume # Resume where you left off
/load-rules - Loads relevant coding standards for your current task. Working on
React? Loads React patterns. Writing tests? Testing standards.
/handoff-context - Generate context handoff for new sessions.
/ai-coding-config - Interactive setup for new projects. Detects your stack,
installs relevant rules.
/repo-tooling - Set up linting, formatting, CI/CD based on detected language.
/setup-environment - Initialize dev environment for git worktrees.
/cleanup-worktree - Clean up worktrees after PR merge/generate-AGENTS-file - Generate AGENTS.md for AI context/generate-llms-txt - Generate llms.txt for LLM navigation/knowledge - AI Product Manager - maintain living product understanding/personality-change - Switch AI communication style/product-intel - Competitive intelligence research24 specialized assistants that Claude Code invokes automatically based on context.
npx claudepluginhub technickai/ai-coding-config --plugin ai-coding-configOrchestration plugin. v1 use case: async development - turn ready issues into pull requests, then iterate on review feedback until a human takes over. Designed to host more orchestration use cases (refactoring, docs, audits) in future versions.
Persona-driven AI development team: orchestrator, team agents, review agents, skills, slash commands, and advisory hooks for Claude Code
Implementation planning, execution, and PR creation workflows with multi-agent collaboration
AI-Driven Engineering workflow commands for managing issues, tasks, implementation, and PRs.
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
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.