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content media llm ai AI Skills

Discover content media llm ai skills, compare source repositories and read the instructions for each workflow.

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GitHub

trace-claude-code

parcadei

Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.

GitHub

workflow-router

parcadei

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

GitHub

math-router

parcadei

Deterministic router for math cognitive stack - maps user intent to exact CLI commands

GitHub

math

parcadei

Unified math capabilities - computation, solving, and explanation. I route to the right tool.

GitHub

explore

parcadei

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

GitHub

compound-learnings

parcadei

Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".

GitHub

slash-commands

parcadei

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

GitHub

help

parcadei

Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available

GitHub

humanizer

callstack

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fi...

GitHub

linux-production-shell-scripts

zebbern

This skill should be used when the user asks to "create bash scripts", "automate Linux tasks", "monitor system resources", "backup files", "manage users", or "write production shell scripts". It provides ready-...

GitHub

create-pattern

nibzard

Analyze sources (blog posts, PDFs, YouTube videos, codebases, pasted text) for agentic patterns, match against 105+ existing patterns, create new patterns or update existing with new sources and insights.

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.

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