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taches-cc-resources

1.9kCommunity RegistryGeneralby Lex Christopherson

Skills and commands for prompt engineering, MCP servers, subagents, hooks, and productivity workflows

First seen 4/17/2026

Summary

TÂCHES is a community-driven collection of custom Claude Code resources including 27 slash commands and 9 skills for prompt engineering, MCP server creation, subagent management, hooks, and productivity workflows.

  • It empowers developers to build autonomous workflows, debug systematically, and create custom tools by describing what they want.

Overview

A growing collection of custom Claude Code resources built for real workflows.

Philosophy

When you use a tool like Claude Code, it's your responsibility to assume everything is possible.

I built these tools using that mindset.

Dream big. Happy building.

— TÂCHES

What's Inside

[Commands](#commands) (27 total) - Slash commands that expand into structured workflows

  • Meta-Prompting: Separate planning from execution with staged prompts
  • Todo Management: Capture context mid-work, resume later with full state
  • Thinking Models: Mental frameworks (first principles, inversion, 80/20, etc.)
  • Deep Analysis: Systematic debugging methodology with evidence and hypothesis testing

[Skills](#skills) (9 total) - Autonomous workflows that research, generate, and self-heal

  • Create Plans: Hierarchical project planning for solo developer + Claude workflows
  • Create MCP Servers: Build MCP servers for Claude integrations (Python/TypeScript)
  • Create Agent Skills: Build new skills by describing what you want
  • Create Meta-Prompts: Generate staged workflow prompts with dependency detection
  • Create Slash Commands: Build custom commands with proper structure
  • Create Subagents: Build specialized Claude instances for isolated contexts
  • Create Hooks: Build event-driven automation
  • Debug Like Expert: Systematic debugging with evidence gathering and hypothesis testing
  • Setup Ralph: Set up Geoffrey Huntley's Ralph Wiggum autonomous coding loop

[Agents](#agents) (3 total) - Specialized subagents for validation and quality

  • skill-auditor: Reviews skills for best practices compliance
  • slash-command-auditor: Reviews commands for proper structure
  • subagent-auditor: Reviews agent configurations for effectiveness

Installation

Option 1: Plugin Install (Recommended)

bash
# Add the marketplace
claude plugin marketplace add glittercowboy/taches-cc-resources

# Install the plugin
claude plugin install taches-cc-resources

Start a new Claude Code session to use the commands and skills.

Option 2: Manual Install

bash
# Clone the repo
git clone https://github.com/glittercowboy/taches-cc-resources.git
cd taches-cc-resources

# Install commands
cp -r commands/* ~/.claude/commands/

# Install skills
cp -r skills/* ~/.claude/skills/

Commands install globally to ~/.claude/commands/. Skills install to ~/.claude/skills/. Project-specific data (prompts, todos) lives in each project's working directory.

Commands

Meta-Prompting

Separate analysis from execution. Describe what you want in natural language, Claude generates a rigorous prompt, then runs it in a fresh sub-agent context.

Todo Management

Capture ideas mid-conversation without derailing current work. Resume later with full context intact.

Context Handoff

Create structured handoff documents to continue work in a fresh context. Reference with @whats-next.md to resume seamlessly.

Create Extensions

Wrapper commands that invoke the skills below.

Audit Extensions

Invoke auditor subagents.

Self-Improvement

Thinking Models

Apply mental frameworks to decisions and problems.

Deep Analysis

Systematic debugging with methodical investigation.

  • `/debug` - Apply expert debugging methodology to investigate issues

Agents

Specialized subagents used by the audit commands.

Skills

Create Plans

Hierarchical project planning optimized for solo developer + Claude. Create executable plans that Claude runs, not enterprise documentation that sits unused.

PLAN.md IS the prompt - not documentation that gets transformed later. Brief → Roadmap → Research (if needed) → PLAN.md → Execute → SUMMARY.md.

Domain-aware: Optionally loads framework-specific expertise from ~/.claude/skills/expertise/ (e.g., macos-apps, iphone-apps) to make plans concrete instead of generic. Domain expertise skills are created with create-agent-skills - exhaustive knowledge bases (5k-10k+ lines) that make task specifications framework-appropriate.

Quality controls: Research includes verification checklists, blind spots review, critical claims audits, and streaming writes to prevent gaps and token limit failures.

Context management: Auto-handoff at 10% tokens remaining. Git versioning commits outcomes, not process.

Commands: /create-plan (invoke skill), /run-plan <path> (execute PLAN.md with intelligent segmentation)

See create-plans README for full documentation.

Create Agent Skills

Build skills by describing what you want. Asks clarifying questions, researches APIs if needed, and generates properly structured skill files.

Two types of skills:

  1. Task-execution skills - Regular skills that perform specific operations
  2. Domain expertise skills - Exhaustive knowledge bases (5k-10k+ lines) that live in ~/.claude/skills/expertise/ and provide framework-specific context to other skills like create-plans

Context-aware: Detects if you're in a skill directory and presents relevant options. Progressive disclosure guides you through complex choices.

When things don't work perfectly, /heal-skill analyzes what went wrong and updates the skill based on what actually worked.

Commands: /create-agent-skill, /heal-skill, /audit-skill

Create Meta-Prompts

The skill-based evolution of the meta-prompting system. Builds prompts with structured outputs (research.md, plan.md) that subsequent prompts can parse. Adds automatic dependency detection to chain research → plan → implement workflows.

Note: For end-to-end project building, consider create-plans - it's the more structured evolution of this approach with full lifecycle management (brief → roadmap → execution → handoffs). Use create-meta-prompts for abstract workflows and Claude→Claude pipelines. Use create-plans for actually building projects.

Commands: /create-meta-prompt

Create Slash Commands

Build commands that expand into full prompts when invoked. Describe the command you want, get proper YAML configuration with arguments, tool restrictions, and dynamic context loading.

Commands: /create-slash-command, /audit-slash-command

Create Subagents

Build specialized Claude instances that run in isolated contexts. Describe the agent's purpose, get optimized system prompts with the right tool access and orchestration patterns.

Commands: /create-subagent, /audit-subagent

Create Hooks

Build event-driven automation that triggers on tool calls, session events, or prompt submissions. Describe what you want to automate, get working hook configurations.

Commands: /create-hook

Create MCP Servers

Build Model Context Protocol (MCP) servers that expose tools, resources, and prompts to Claude. Supports Python and TypeScript implementations with API research, OAuth handling, and response optimization.

Architecture patterns: Traditional (1-2 operations) or on-demand discovery (3+ operations) based on complexity.

Includes: Adaptive intake, API research via subagent, code generation from templates, environment variable security, and installation in Claude Code + Claude Desktop.

Commands: /create-mcp-servers (via skill routing)

Debug Like Expert

Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic root cause analysis.

Commands: /debug

Setup Ralph

Set up Geoffrey Huntley's Ralph Wiggum autonomous coding loop. Ralph is an autonomous AI coding methodology that uses iterative loops with task selection, execution, and validation. Fresh context every iteration prevents context poisoning.

Three phases: Planning (gap analysis → TODO list), Building (implement one task, validate, commit), Observation (you engineer the environment).

Key concepts: Backpressure via tests/lints/builds, file I/O as state (IMPLEMENTATION_PLAN.md), parallel subagents for reads, prompts evolve through observation.

Commands: /setup-ralph

See setup-ralph README for full documentation.


Recommended Workflow

For building projects: Use /create-plan to invoke the create-plans skill. After planning, use /run-plan <path-to-PLAN.md> to execute phases with intelligent segmentation. This provides hierarchical planning (BRIEF.md → ROADMAP.md → phases/PLAN.md), domain-aware task generation, context management with handoffs, and git versioning.

For domain expertise: Use create-agent-skills to create exhaustive knowledge bases in ~/.claude/skills/expertise/. These skills are automatically loaded by create-plans to make task specifications framework-specific instead of generic.

Other tools: The create-meta-prompts skill and /create-prompt + /run-prompt commands are available for custom Claude→Claude pipelines that don't fit the project planning structure.


More resources coming soon.


Community Ports: OpenCode

—TÂCHES

Install & Usage

1
Open your MCP config
~/.claude.json
2
Add the server config

Add the configuration to "mcpServers": { "taches-cc-resources": { "command": "...", "args": [] } }

3
Restart Claude Code
/mcp

Use Cases

Plan a multi-step software project with hierarchical task breakdown and dependency detection using the Create Plans skill.
Build a custom MCP server in Python or TypeScript to integrate external tools with Claude Code.
Generate a staged meta-prompt workflow that separates planning from execution for complex tasks.
Create a specialized subagent to handle isolated contexts like code review or documentation generation.
Set up event-driven automation with hooks to trigger actions on file changes or command completions.
Debug a production issue systematically using evidence gathering and hypothesis testing with the Debug Like Expert skill.

Usage Examples

1

/taches-cc-resources create plans Build a web app with React frontend and Node backend, including API design and testing.

2

/taches-cc-resources create mcp servers Build an MCP server that fetches weather data from OpenWeatherMap.

3

/taches-cc-resources debug like expert My app crashes when users upload large images; find the root cause.

View source on GitHub
mcpagent

Security Audits

LicenseUnknownSourceWarnRepositoryPass

Frequently Asked Questions

What is taches-cc-resources?

TÂCHES is a community-driven collection of custom Claude Code resources including 27 slash commands and 9 skills for prompt engineering, MCP server creation, subagent management, hooks, and productivity workflows. It empowers developers to build autonomous workflows, debug systematically, and create custom tools by describing what they want.

How to install taches-cc-resources?

To install taches-cc-resources: open your mcp config (~/.claude.json), then add the config to "mcpServers": { "taches-cc-resources": { "command": "...", "args": [] } }. Finally, /mcp in Claude Code.

What is taches-cc-resources best for?

taches-cc-resources is a mcp categorized under General. It is designed for: mcp, agent. Created by Lex Christopherson.

What can I use taches-cc-resources for?

taches-cc-resources is useful for: Plan a multi-step software project with hierarchical task breakdown and dependency detection using the Create Plans skill.; Build a custom MCP server in Python or TypeScript to integrate external tools with Claude Code.; Generate a staged meta-prompt workflow that separates planning from execution for complex tasks.; Create a specialized subagent to handle isolated contexts like code review or documentation generation.; Set up event-driven automation with hooks to trigger actions on file changes or command completions.; Debug a production issue systematically using evidence gathering and hypothesis testing with the Debug Like Expert skill..