Carl Vellotti
A creator and commentator on Claude Code workflows and extensions. He shared a modding framework and free templates/prompts for experimenting with Claude Code mods.
Key Highlights
- Carl Vellotti is a prominent practitioner sharing practical Claude Code workflows, skills, and mods for PM use cases.
- He emphasizes building AI systems from real repeated friction, not from overdesigned setups created too early.
- His work shows how to make PRDs and markdown artifacts more usable for both AI models and human teammates.
- He frequently demonstrates how Claude Code connects with tools like Slack, Jira, Figma, and Google Docs.
- His concept of a 'team AI OS' frames AI as part of the operating system for modern product teams.
At a glance
- Role
- Creator/commentator on Claude Code mods
Carl Vellotti
Overview
Carl Vellotti is a creator, educator, and commentator focused on practical workflows for Claude Code and adjacent AI-powered product work. Across repeated newsletter mentions, he appears as an experiment-driven operator who shares reusable systems for turning day-to-day PM work—such as writing PRDs, analyzing communications, and connecting internal tools—into structured AI workflows.For AI Product Managers, Vellotti matters because his work sits at the intersection of personal productivity, team operating systems, and AI-native process design. His examples go beyond generic prompting advice: he shows how to codify routines in files like `CLAUDE.md`, create reusable skills and mods, connect Claude Code to tools like Slack and Google Docs, and refine workflows based on actual friction rather than theoretical setup perfection.
Key Developments
- 2026-02-17: Released a Claude Code skill file designed to learn a user's writing voice after a single use and flag AI-style phrasing, with simple setup instructions.
- 2026-03-03: Demonstrated four ways to connect Claude Code to external tools—Direct APIs, MCP servers, CLI tools, and a Chrome extension—for workflows involving Jira, Figma, Slack, and Google Docs; emphasized CLI tools as a low-overhead option.
- 2026-03-15: His Claude Code course was recommended as pre-work for teams adopting coding agents, positioned as a way to reduce overwhelm and build foundation skills.
- 2026-03-18: Used Claude to analyze a week of Slack messages and meeting transcripts, identify inefficiencies such as redundant meetings and status updates, and encode PM routines in a `CLAUDE.md` file.
- 2026-04-22: Shared a lesson from over-optimizing Claude Code setups: let systems emerge from repeated real-world friction, and only automate tasks after performing them manually several times.
- 2026-05-01: Reported tripling individual output with AI, including using Claude Code to write 14 PRDs in one week, while also noting that meeting overhead expanded sharply without improving shipping cadence.
- 2026-05-09: His workshop reached #1 on Maven; he framed the evolution from early “vibe coding” prototypes to broader use of Cursor and Claude Code for specs and documentation as part of a larger “team AI OS” shift.
- 2026-08-06: Reworked PRDs so they were legible and useful to AI models, including explicit instructions about what to quote and what to tell human readers; claimed this improved feature adoption and influenced team resourcing discussions.
- 2026-08-16: Shared a method for developing a Claude skill by first completing one manual run with Claude and no skill, then asking Claude to turn that session into the specification; for text workflows, he recommended editing markdown outputs and storing lessons in a `corrections` folder for future runs.
- 2026-10-04: Explained a Claude Code modding framework built from four elements—trigger, action, place, and data—and said Claude can generate and load these mods from a user description; also shared free templates and prompts for experimenting with mods.
Relevance to AI PMs
1. Codifying PM workflows into reusable AI systems: Vellotti's examples show how PMs can move from one-off prompting to durable operating assets such as `CLAUDE.md`, skill files, and corrections folders. This is useful for standardizing spec writing, meeting analysis, and recurring research tasks.2. Designing AI-friendly product documentation: His PRD experiments suggest that documents can be structured for both models and humans. For AI PMs, this means adding explicit instructions, quote targets, summary guidance, and risk framing so AI collaborators produce more reliable outputs.
3. Connecting AI tools to real work software: His demos around Claude Code integrations with Jira, Figma, Slack, Google Docs, and browser-based tooling are tactically relevant for PMs who want AI embedded in backlog management, design review, status communication, and document workflows rather than isolated in chat.
Related
- Claude / Claude Code / CLAUDE.md: Core to Vellotti's work; he uses these as the foundation for PM workflow automation, skills, and mods.
- Claude Code for Chrome / browser automation: Connected to his examples of extending Claude Code into browser-based and tool-driven workflows.
- Jira, Figma, Slack, Google Docs: Recurring integration targets in his demos, showing where AI can plug into common PM systems.
- PRDs, markdown, corrections-folder: Central artifacts in his approach to AI-native documentation and iterative workflow learning.
- Cursor and Team AI OS: Part of his broader framing of how AI tools are changing team operating models, from prototyping to specs and docs.
- Peter Yang, Aman Khan, Dave: Adjacent voices and tools mentioned around his workflows, integrations, and AI-assisted documentation practices.
Frequently asked questions
What is Carl Vellotti?
A creator and commentator on Claude Code workflows and extensions. He shared a modding framework and free templates/prompts for experimenting with Claude Code mods.
What should AI product managers know about Carl Vellotti?
Carl Vellotti is a prominent practitioner sharing practical Claude Code workflows, skills, and mods for PM use cases. He emphasizes building AI systems from real repeated friction, not from overdesigned setups created too early. His work shows how to make PRDs and markdown artifacts more usable for both AI models and human teammates.
Newsletter Mentions (12)
“Carl Vellotti says Claude Code can be modified with files built from four elements—trigger, action, place, and data—and that Claude can write and load these mods from a user’s description.”
GenAI PM Daily - Perplexity Computer now generates interactive 3D learning visualizations October 04, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 12 insights for PM Builders from X and LinkedIn. Perplexity Computer now generates interactive 3D learning visualizations #2 in 🥞 Carl Vellotti says Claude Code can be modified with files built from four elements—trigger, action, place, and data—and that Claude can write and load these mods from a user’s description. He also created a free resource with five templates and 12 prompts for experimenting with Claude Code mods. Also covered by: @Thariq , @Jason Zhou
“Carl Vellotti shared a process for developing a Claude skill: complete one initial run with Claude and no skill, then have Claude codify the session as the specification.”
#4 in 🥞 Carl Vellotti shared a process for developing a Claude skill: complete one initial run with Claude and no skill, then have Claude codify the session as the specification. For text workflows, he suggests editing markdown output and storing lessons from those edits in a corrections folder the skill reads on later runs.
“after saying no human had read his PRDs since March, he reformatted them with instructions for AI models—including what to quote and “What to tell your human”—and prompted Dave’s AI to call them “unusually well-reasoned.””
#18 in 🥞 Carl Vellotti recapped how, after saying no human had read his PRDs since March, he reformatted them with instructions for AI models—including what to quote and “What to tell your human”—and prompted Dave’s AI to call them “unusually well-reasoned.” He says he began specifying which risks to soften in summaries last month, adoption of risky features rose 3x, and discussions about two more engineers began in October before he received two more engineers.
“in 🥞 Carl Vellotti ’s workshop just hit #1 on Maven. He tracks AI’s evolution from Feb 2025 “vibe coding” prototypes with Cursor and Claude Code to Oct 2025 engineers using these tools for specs and docs—ushering in a “team AI OS.””
in 🥞 Carl Vellotti ’s workshop just hit #1 on Maven. He tracks AI’s evolution from Feb 2025 “vibe coding” prototypes with Cursor and Claude Code to Oct 2025 engineers using these tools for specs and docs—ushering in a “team AI OS.”
“Carl Vellotti tripled individual output with AI—using Claude Code to write 14 PRDs in one week—but daily standups, weekly retros, and monthly governance reviews ballooned meeting time from 6 to 19 hours without reducing the two-week ship cycle.”
#16 in Carl Vellotti tripled individual output with AI—using Claude Code to write 14 PRDs in one week—but daily standups, weekly retros, and monthly governance reviews ballooned meeting time from 6 to 19 hours without reducing the two-week ship cycle.
“Carl Vellotti admits he wasted weekends perfecting unused Claude Code setups and shares how to avoid this: let your system grow from real friction (not upfront planning) and only automate tasks after repeating them manually several times.”
#21 in 🥞 Carl Vellotti admits he wasted weekends perfecting unused Claude Code setups and shares how to avoid this: let your system grow from real friction (not upfront planning) and only automate tasks after repeating them manually several times.
“Carl Vellotti used Anthropic’s Claude to parse a week of his Slack messages and meeting transcripts, identify inefficiencies (like unnecessary meetings and redundant status updates), and codify his PM routines in a CLAUDE.md file.”
#22 𝕏 Tal Raviv uses Anthropic’s Claude to automate his core PM workflows—drafting specs, prioritizing backlogs, and generating roadmaps—arguing that Claude now outperforms him so fully he might as well “give away his Legos.” #23 in Carl Vellotti used Anthropic’s Claude to parse a week of his Slack messages and meeting transcripts, identify inefficiencies (like unnecessary meetings and redundant status updates), and codify his PM routines in a CLAUDE.md file.
“#4 in Marc Baselga found that teams adopt coding agents best by starting with one specific workflow and assigning Carl Vellotti’s CC Course as pre-work to prevent overwhelm and build a solid foundation.”
Today's top 12 insights for PM Builders, ranked by relevance from X, LinkedIn, and Blogs. Ramp Ships 500+ Features Using Claude Code #4 in Marc Baselga found that teams adopt coding agents best by starting with one specific workflow and assigning Carl Vellotti’s CC Course as pre-work to prevent overwhelm and build a solid foundation.
“#10 in 🥞 Carl Vellotti demos four ways to connect Claude Code (Direct APIs, MCP servers, CLI tools, Chrome extension) to tools like Jira, Figma, Slack and Google Docs—highlighting CLI tools as the zero-token, zero-context “hidden gem.” Also covered by: @Peter Yang”
#10 in 🥞 Carl Vellotti demos four ways to connect Claude Code (Direct APIs, MCP servers, CLI tools, Chrome extension) to tools like Jira, Figma, Slack and Google Docs—highlighting CLI tools as the zero-token, zero-context “hidden gem.” Also covered by: @Peter Yang #11 in Peter Yang shares Carl’s top five Claude Code integrations—Google Workspace for meeting prep, Linear for ticket creation, Slack for status updates, and Reddit for monitoring. Also covered by: @Peter Yang
“in Carl Vellotti released a Claude Code skill file that permanently learns your writing voice and auto-flags AI-isms after a single use, with simple paste-in setup instructions.”
#9 in Carl Vellotti released a Claude Code skill file that permanently learns your writing voice and auto-flags AI-isms after a single use, with simple paste-in setup instructions. Join his 24,000+ PM Builders community at fullstackpm.com/subscribe. #10 📝 Simon Willison Rodney and Claude Code - Simon describes using Anthropic's Claude Code via native desktop apps (iPhone and Mac) and highlights a useful feature: Claude Desktop can display images it's "viewing" using a Read tool, providing visual previews while the agent works.
Related
Anthropic’s coding agent/environment used here to control physical tools in a long-running home experiment.
Anthropic’s AI assistant, referenced here through new dashboard, motion, docs, slides, and design capabilities.
An AI coding tool shown here supporting follow-up questions and a /visualize command that generates a new chart in-chat.
A product-focused creator who demonstrates AI builds and critiques product UX/packaging. In this issue he showcases Tabi and discusses simplifying product surfaces.
Slack is a workplace messaging platform often connected to AI agents and internal tools. In this context it is one of the data sources powering an incident-command overview.
A collaborative design platform referenced as an example of broad enterprise SaaS that may remain resilient in the AI era. It is contrasted with niche single-purpose products.
A documentation convention for organizing Claude-related instructions or skills. The newsletter frames it as part of writing lean system prompts and modular skills.
A speaker or participant in a Zoom session about AI-fluency PM interviews. He is referenced in the same context as Ben Erez and Tal Raviv.
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