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carmandale AI Skills

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Browse published AI skills maintained by carmandale. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

116

Repository stars across indexed skills

115

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

116 skills

Browse skills

GitHub

slash-commands

carmandale

Create and use Claude Code slash commands - quick prompts, bash execution, file references

GitHub

workflow-router

carmandale

Goal-based workflow orchestration - routes tasks to specialist agents based on user goals

GitHub

mcp-chaining

carmandale

Research-to-implement pipeline chaining 5 MCP tools with graceful degradation

GitHub

bv

carmandale

Beads Viewer - graph-aware triage engine for Beads issue tracker with 9 graph metrics (PageRank, betweenness, HITS, etc.), dependency-aware planning, and purpose-built robot protocol for AI agents.

GitHub

explore

carmandale

Meta-skill for internal codebase exploration at varying depths (quick/deep/architecture)

GitHub

ralph

carmandale

Create and run Ralph loops for structured AI-driven development. Triggered by "create a ralph loop for X" or "ralph plan for X". Uses interview to clarify requirements, expert review via Ralph wrappers, creates...

GitHub

slb

carmandale

Simultaneous Launch Button - two-person rule for destructive commands. Requires peer review before executing risky operations.

GitHub

ralph-tui

carmandale

Run ralph-tui task loops for automated PRD execution. Covers headless mode, PRD preparation, agent selection (opencode/claude), session management, and troubleshooting. Use when asked to "run ralph-tui", "execu...

GitHub

plan-agent

carmandale

Planning agent that creates implementation plans and handoffs from conversation context

GitHub

sub-agents

carmandale

Create and configure Claude Code sub-agents with custom prompts, tools, and models

GitHub

recall

carmandale

Query memory system for relevant learnings from past sessions

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.