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Agent skill

Pipecat Friday Agent

by sickn33 in sickn33/agentic-awesome-skills

Build a low-latency, Iron Man-inspired tactical voice assistant (F.R.I.D.A.Y.) using Pipecat, Gemini, and OpenAI.

MITAuto-check: notesAI & LLM Engineering

Install Pipecat Friday Agent

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill pipecat-friday-agent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills pipecat-friday-agent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/pipecat-friday-agent .claude/skills/pipecat-friday-agent && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pipecat-friday-agent
GitHub stars
47k
Used in
2 other repos
Token cost
~872 tokens
SKILL.md length
400 words
Files
2 (incl. scripts)
Skills in repo
1,493
Repo updated
First seen
Licence
MIT

At a glance

Build a low-latency, Iron Man-inspired tactical voice assistant (F.R.I.D.A.Y.) using Pipecat, Gemini, and OpenAI.

  • Works in 3 steps: Install Dependencies → Configure Environment → Run the Agent
  • Tasks that involve Speech recognition and synthesis
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Core Concepts, plus 4 more sections
  • Runs Python scripts from its folder; calls pip and python; needs OPENAI_API_KEY and GOOGLE_API_KEY

What it does

Pipecat Friday Agent is an agent skill from sickn33/agentic-awesome-skills. Build a low-latency, Iron Man-inspired tactical voice assistant (F.R.I.D.A.Y.) using Pipecat, Gemini, and OpenAI.

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/friday_agent.py`).

It sits in AI & LLM Engineering, covering Speech recognition and synthesis. It works with OpenAI. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Speech recognition and synthesis

Example prompts

  • “/pipecat-friday-agent”

Requirements

  • Python 3
  • A credential in OPENAI_API_KEY
  • A credential in GOOGLE_API_KEY

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Install Dependencies
  2. Configure Environment
  3. Run the Agent

What it can do on your machine

Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • pip
    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY
    • GOOGLE_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pipecat Friday Agent loads about 872 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 400 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~872

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:40
    Create a `.env` file with your API keys:

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 400 words, ~872 tokens.

Download SKILL.mdSave it as .claude/skills/pipecat-friday-agent/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
pipecat-friday-agent
description
Build a low-latency, Iron Man-inspired tactical voice assistant (F.R.I.D.A.Y.) using Pipecat, Gemini, and OpenAI.
category
voice-agents
risk
safe
source
community
date_added
2026-03-10
tags
pipecat, voice, gemini, openai, python
tools
pipecat

Pipecat Friday Agent

Overview

This skill provides a blueprint for building F.R.I.D.A.Y. (Replacement Integrated Digital Assistant Youth), a local voice assistant inspired by the tactical AI from the Iron Man films. It uses the Pipecat framework to orchestrate a low-latency pipeline:

  • STT: OpenAI Whisper (whisper-1) or gpt-4o-transcribe
  • LLM: Google Gemini 2.5 Flash (via a compatibility shim)
  • TTS: OpenAI TTS (nova voice)
  • Transport: Local Audio (Hardware Mic/Speakers)

When to Use This Skill

  • Use when you want to build a real-time, conversational voice agent.
  • Use when working with the Pipecat framework for pipeline-based AI.
  • Use when you need to integrate multiple providers (Google and OpenAI) into a single voice loop.
  • Use when building Iron Man-themed or tactical-themed voice applications.

How It Works

Step 1: Install Dependencies

You will need the Pipecat framework and its service providers installed:

bash
pip install pipecat-ai[openai,google,silero] python-dotenv
Step 2: Configure Environment

Create a .env file with your API keys:

env
OPENAI_API_KEY=your_openai_key
GOOGLE_API_KEY=your_google_key
Step 3: Run the Agent

Execute the provided Python script to start the interface:

bash
python scripts/friday_agent.py

Core Concepts

Pipeline Architecture

The agent follows a linear pipeline: Mic -> VAD -> STT -> LLM -> TTS -> Speaker. This allows for granular control over each stage, unlike end-to-end speech-to-speech models.

Google Compatibility Shim

Since Google's Gemini API has a different message format than OpenAI's standard (which Pipecat aggregators expect), the script includes a GoogleSafeContext and GoogleSafeMessage class to bridge the gap.

Show full SKILL.md (180 more words)Show less

Best Practices

  • ✅ Use Silero VAD: It is robust for local hardware and prevents background noise from triggering the LLM.
  • ✅ Concise Prompts: Tactical agents should give short, data-dense responses to minimize latency.
  • ✅ Sample Rate Match: OpenAI TTS outputs at 24kHz; ensure your audio_out_sample_rate matches to avoid high-pitched or slowed audio.
  • ❌ No Polite Fillers: Avoid "Hello, how can I help you today?" Instead, use "Systems nominal. Ready for commands."

Troubleshooting

  • Problem: Audio is choppy or delayed.
    • Solution: Check your OUTPUT_DEVICE index. Run a script like test_audio_output.py to find the correct hardware index for your OS.
  • Problem: "Validation error" for message format.
    • Solution: Ensure the GoogleSafeContext shim is correctly translating OpenAI-style dicts to Gemini-style schema.
  • @voice-agents - General principles of voice AI.
  • @agent-tool-builder - Add tools (Search, Lights, etc.) to your Friday agent.
  • @llm-architect - Optimizing the LLM layer.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in skills/pipecat-friday-agent of sickn33/agentic-awesome-skills.

  • SKILL.md
  • scripts/friday_agent.py

Open the folder on GitHubat commit 680176d

Used in 2 other repositories

We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Pipecat Friday Agent next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pipecat Friday Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pipecat Friday Agent this skillsickn33/agentic-awesome-skills47k2 repos~872Automated safety check: NotesMIT
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Voice Agentsdavila7/claude-code-templates32k3 repos~565Automated safety check: PassMIT
Whisper Speech RecognitionOrchestra-Research/AI-Research-SKILLs13k7 repos~1.9kAutomated safety check: NotesMIT
Agentstadaspetra/loop2961 repos~2.5kAutomated safety check: PassMIT
Talking Avatar Voice Chat Appbuildfastwithai/gen-ai-experiments785—~1.7kAutomated safety check: PassMIT

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Works with

Categories

Questions about Pipecat Friday Agent

What does Pipecat Friday Agent do?

Build a low-latency, Iron Man-inspired tactical voice assistant (F.R.I.D.A.Y.) using Pipecat, Gemini, and OpenAI. Pipecat Friday Agent is an agent skill from sickn33/agentic-awesome-skills.) using Pipecat, Gemini, and OpenAI.

When should I use Pipecat Friday Agent?

Pipecat Friday Agent fits situations like: tasks that involve Speech recognition and synthesis.

How do I install Pipecat Friday Agent in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill pipecat-friday-agent -a claude-code`. Or copy the skill folder (skills/pipecat-friday-agent in sickn33/agentic-awesome-skills) into .claude/skills/pipecat-friday-agent in your project. Claude Code loads it when a task matches its description.

How do I install Pipecat Friday Agent in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill pipecat-friday-agent -a codex`. Or copy the skill folder (skills/pipecat-friday-agent in sickn33/agentic-awesome-skills) into .agents/skills/pipecat-friday-agent in your project. Codex loads it when a task matches its description.

Can I use Pipecat Friday Agent in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill pipecat-friday-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pipecat-friday-agent, .gemini/skills/pipecat-friday-agent, .github/skills/pipecat-friday-agent and .opencode/skills/pipecat-friday-agent in your project.

What does Pipecat Friday Agent need to run?

Going by SKILL.md and its folder, Pipecat Friday Agent needs Python for the scripts in its folder, the command-line tools its instructions call (pip and python) and credentials named OPENAI_API_KEY and GOOGLE_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY; A credential in GOOGLE_API_KEY.

Does Pipecat Friday Agent access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Pipecat Friday Agent safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Pipecat Friday Agent use?

Pipecat Friday Agent is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pipecat Friday Agent use?

About 872 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pipecat Friday Agent?

Skills that share tags, products or a category with Pipecat Friday Agent: Ax Audio (dosco/aithy, 107 stars), Voice Agents (davila7/claude-code-templates, 32k stars), Whisper Speech Recognition (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Agents (tadaspetra/loop, 296 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pipecat Friday Agent?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.