Agent skill

Shipping Velocity

by RefoundAI in RefoundAI/lenny-skills

Help users accelerate their product development cycles by implementing high-intensity rituals, ruthless scoping, and technical guardrails that allow teams to ship faster without sacrificing quality.

MITAuto-check passedAI & LLM Engineering

Install Shipping Velocity

skills CLI
$ npx skills add RefoundAI/lenny-skills --skill shipping-velocity -a claude-code

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

GitHub CLI
$ gh skill install RefoundAI/lenny-skills shipping-velocity --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/RefoundAI/lenny-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/shipping-velocity .claude/skills/shipping-velocity && 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
shipping-velocity
GitHub stars
1.4k
Token cost
~1.8k tokens
SKILL.md length
1,071 words
Files
3 (incl. references)
Skills in repo
76
Repo updated
First seen
Licence
MIT

At a glance

Help users accelerate their product development cycles by implementing high-intensity rituals, ruthless scoping, and technical guardrails that allow teams to ship faster without sacrificing quality.

  • Works in 4 steps: Audit existing bottlenecks - Identify… → Implement velocity rituals - Guide the… → Apply scoping frameworks - Assist in… → …
  • Tasks that involve LLM guardrails
  • SKILL.md covers How to Help, Core Principles, Templates & Frameworks and Questions to Help Users, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Shipping Velocity is an agent skill from RefoundAI/lenny-skills. Help users accelerate their product development cycles by implementing high-intensity rituals, ruthless scoping, and technical guardrails that allow teams to ship faster without sacrificing quality.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/artifacts.md` and `references/guest-insights.md`).

It sits in AI & LLM Engineering, covering LLM guardrails. The repository describes itself as: 86 product management skills from Lenny's Podcast for Claude Code and AI agents. Hiring, user research, strategy, shipping, and more. The licence is MIT.

When your agent uses it

  • Tasks that involve LLM guardrails

Example prompts

  • “/shipping-velocity”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Audit existing bottlenecks - Identify where projects get stuck in your current lifecycle and benchmark against high-performing teams.
  2. Implement velocity rituals - Guide the setup of daily stand-ups, demos, and single-threaded teams to maintain momentum.
  3. Apply scoping frameworks - Assist in cutting feature scope down to the most essential, marketable value to meet tight deadlines.
  4. Establish measurement systems - Set up the Core 4 metrics to track speed, quality, effectiveness, and impact simultaneously.

What it can do on your machine

Read from SKILL.md and the folder at commit 13598cc. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Shipping Velocity loads about 1.8k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 1,071 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~18k

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 passed

The automated check found no risky patterns in SKILL.md.

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from RefoundAI/lenny-skills at commit 13598cc, republished under its MIT licence (© RefoundAI). 1,071 words, ~1,828 tokens.

Download SKILL.mdSave it as .claude/skills/shipping-velocity/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
shipping-velocity
description
Help users accelerate their product development cycles by implementing high-intensity rituals, ruthless scoping, and technical guardrails that allow teams to ship faster without sacrificing quality.

Shipping Velocity

Accelerate execution by removing organizational friction and establishing a high-intensity shipping culture.

Help the user with shipping velocity using insights from 19 guests and posts across Lenny's Podcast and Newsletter.

How to Help

  1. Audit existing bottlenecks - Identify where projects get stuck in your current lifecycle and benchmark against high-performing teams.
  2. Implement velocity rituals - Guide the setup of daily stand-ups, demos, and single-threaded teams to maintain momentum.
  3. Apply scoping frameworks - Assist in cutting feature scope down to the most essential, marketable value to meet tight deadlines.
  4. Establish measurement systems - Set up the Core 4 metrics to track speed, quality, effectiveness, and impact simultaneously.

Core Principles

Ruthlessly cut feature scope

Gaurav Misra: "We take the design and we cut, cut, cut until we can really say that it's going to be useless if we cut anymore. We get that out and people come in."

Maintain momentum by slicing new features repeatedly until only the essential marketable value remains for a one-week deadline.

Isolate teams for single-threaded focus

Geoff Charles: "And I think the recipe for all this is constantly small teams have a single-threaded focus, give them the resources they need to execute big lofty goals, very tight timelines, and then shield them from the chaos that is the rest of the organization."

Protect development speed by shielding small teams from organizational overhead and task-switching.

Establish daily accountability rituals

Mayur Kamat: "We would pick a owner for something really urgent at the nightly leadership call. Then that owner would be expected to have all hands on deck for however long that problem is every single day and then report the updates on the daily call."

Use extreme leadership involvement and daily stand-ups to unblock decisions within 24 hours for high-stakes projects.

Prototype to test hypotheses early

Nan Yu: "What it really looks like is you have some rough time budget for how long you think something's going to take. By the time 10% of it has passed, after week one, you have something that works that tests some kind of key hypothesis internally."

Aim to produce a workable prototype within the first 10 percent of a project's time to prioritize functional learning over documentation.

Relentlessly challenge timelines

Nick Turley: "I just really want to jump to the punchline, "Why can't we do this now?" I always felt like part of my role here is to just set the pace and the resting heartbeat."

Ask why work cannot be done immediately to identify and eliminate artificial bottlenecks and set a high operational tempo.

Build technical guardrails for speed

Nicole Forsgren: "We want to implement good technical practices like automated testing, good architectural practices so that when you move fast, you are also more stable, right. We want to be thinking about improving the developer experience so that when we are faster, we are also saving time."

Implement automated testing and robust architecture to allow teams to deploy frequently without sacrificing stability.

Define projects by appetite not estimates

Ryan Singer: "We're going to go the other way around and we're going to say, what is the maximum amount of time we're willing to go before we actually finish something? How do we come up with a idea that's going to work in the amount of time that the business is interested in spending?"

Regain momentum by setting a fixed time limit for projects before defining the scope to avoid project drag.

Show full SKILL.md (498 more words)Show less

Templates & Frameworks

  • 15 Strategies to Increase Team Velocity (Increasing team velocity) - A comprehensive framework of 15 concrete strategies for increasing team velocity, organized as a menu to pick 1-2 from and experiment with over a month or quart
  • Core 4 Getting Started Checklist (Introducing Core 4: The best way to measure and improve your product velocity) - Step-by-step action plan for adopting Core 4 within your organization.
  • One Marketable Feature Per Week (Gaurav Misra) - A scoping and shipping methodology where every engineer must deliver a feature that could independently attract users to the app, achieved by ruthlessly cutting
  • Hard vs Soft Deadlines Framework (This Week #4: Motivating engineers to hit deadlines, PM career ladders, and aligning with execs) - A framework for being transparent about deadline types and using each strategically
  • Circuit Breaker principle (Ryan Singer) - If a project is not on track to finish at the end of its time box, don't just extend the deadline — stop building and bring it back to shaping mode to understan
  • 10 Tactics to Motivate Engineers (and Anyone) to Ship (This Week #4: Motivating engineers to hit deadlines, PM career ladders, and aligning with execs) - A comprehensive framework of 10 motivational levers PMs can pull to increase team velocity and deadline adherence
  • Diagnosing Why Engineers Miss Deadlines (This Week #4: Motivating engineers to hit deadlines, PM career ladders, and aligning with execs) - A 5-step diagnostic checklist to understand the root cause before trying to fix slow delivery
  • BigCo Status Quo vs. Startup Mindset Framework (How to ship like a startup) - A seven-part framework contrasting default BigCo behaviors with startup mindset alternatives for shipping products faster. Each of the seven strategies is frame
  • Tempo Framework (Patrick Campbell) - A system for aligning leadership and teams on execution speed and output expectations.

See references/artifacts.md for the full list with details.

Questions to Help Users

  • "What is the current 'resting heartbeat' or cadence of your team's shipping cycle?"
  • "Where do projects spend the most time: ideation, development, or QA and release?"
  • "If you had to ship a version of this feature in one week, what would you cut?"
  • "Are your engineers involved in the discovery phase or just receiving requirements?"
  • "What is the single biggest distraction or recurring meeting slowing your team down?"
  • "How are you currently measuring the trade-off between speed and quality?"

Common Mistakes to Flag

  • Over-estimating for safety - Teams add padding to timelines which often leads to work expanding to fill the extra time rather than shipping early.
  • Measuring speed in isolation - Tracking velocity without quality or impact metrics can lead to shipping broken or low-value features quickly.
  • Equating hours with output - Success comes from the density of high-value accomplishments per minute rather than the total hours logged.
  • Maintaining rigid annual planning - Fixed planning cycles can cause teams to miss market opportunities that require a faster execution clock.

Deep Dive

For all 35 sourced insights from 19 guests, see references/guest-insights.md

  • Writing Prds
  • Ai Assisted Prototyping
  • Building With Ai Agents
  • Product Tool Stack

© RefoundAI, 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 2 other files (references) in skills/shipping-velocity of RefoundAI/lenny-skills.

  • SKILL.md
  • references/artifacts.md
  • references/guest-insights.md

Open the folder on GitHubat commit 13598cc

Compare with similar skills

Shipping Velocity 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.

Shipping Velocity compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shipping Velocity this skillRefoundAI/lenny-skills1.4k—~1.8kAutomated safety check: PassMIT
Aisafetyhotwuyoscar/AISafetyHot-Hub708—~1.4kAutomated safety check: PassCustom licence
ObliteratusRedWoodOG/Hermes-Desktop1775 repos~3.8kAutomated safety check: PassMIT
Lemonade Router Builderamd/skills408—~4kAutomated safety check: PassMIT
Execution Guardrailsmrtooher/fable-mode873—~1kAutomated safety check: PassNone
Writing Eval Scenariosopen-bias/open-bias143—~1.5kAutomated safety check: PassApache-2.0

Similar skills

  • Aisafetyhot

    wuyoscar/AISafetyHot-Hub

    Query AI Safety HOT news, research papers, incidents, hot topics, and daily/weekly/monthly reports through its public read-only MCP service.

    708 GitHub stars~1.4k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Obliteratus

    RedWoodOG/Hermes-Desktop

    Remove refusal behaviors from open-weight LLMs using OBLITERATUS — mechanistic interpretability techniques (diff-in-means, SVD, whitened SVD, LEACE, SAE decomposition, etc.) to excise guardrails…

    177 GitHub starsUsed in 5 repos~3.8k tokens
    AI & LLM EngineeringAuto-check passed
  • Turns a natural-language description of routing intent into a valid Lemonade collection.router policy JSON.

    408 GitHub stars~4k tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed
  • Execution Guardrails

    mrtooher/fable-mode

    Always-on operational guardrails, model-independent. An agent skill from mrtooher/fable-mode.

    873 GitHub stars~1k tokensUpdated 1 mo ago
    AI & LLM EngineeringAuto-check passed
  • Writing Eval Scenarios

    open-bias/open-bias

    Guide for writing eval conversation JSONs and running them through policy engines

    143 GitHub stars~1.5k tokensUpdated 3 days ago
    AI & LLM EngineeringAuto-check passed
  • Wp Project Triage

    gambitph/Stackable

    A skill your agent uses when you need a deterministic inspection of a WordPress repository (plugin/theme/block theme/WP core/Gutenberg/full site) including tooling/tests/version hints, and a…

    351 GitHub starsUsed in 3 repos~371 tokens
    AI & LLM EngineeringAuto-check passed

More from RefoundAI/lenny-skills

All 76 skills in this repo
  • Customer Interviews

    RefoundAI/lenny-skills

    Help users conduct high-impact customer interviews that move beyond surface-level feature requests to identify root emotional frustrations and specific causal triggers.

    1.4k GitHub stars~1.7k tokensUpdated 2 mo ago
    Auto-check passed
  • Time Energy Management

    RefoundAI/lenny-skills

    Help users master their personal output by shifting from reactive scheduling to intentional energy management, internal trigger mastery, and proactive boundary setting.

    1.4k GitHub stars~1.6k tokensUpdated 2 mo ago
    Auto-check passed
  • User Onboarding Activation

    RefoundAI/lenny-skills

    Help users reach their first moment of core value by optimizing the first-run experience, removing friction, and aligning product design with psychological triggers.

    1.4k GitHub stars~2.1k tokensUpdated 2 mo ago
    Auto-check passed
  • Acquisition Channels

    RefoundAI/lenny-skills

    Help users identify unique distribution advantages and master the lifecycle of acquisition channels to build a sustainable engine for growth and retention.

    1.4k GitHub stars~2.2k tokensUpdated 2 mo ago
    Auto-check passed
  • AI Assisted Prototyping

    RefoundAI/lenny-skills

    Help users build functional product prototypes from natural language or visual mocks using AI coding tools.

    1.4k GitHub stars~1.2k tokensUpdated 2 mo ago
    Auto-check passed
  • AI Evals

    RefoundAI/lenny-skills

    Help users build robust infrastructure for measuring, monitoring, and iterating on AI product performance using human, code-based, and LLM-as-a-judge methodologies.

    1.4k GitHub stars~1.7k tokensUpdated 2 mo ago
    Auto-check passed

Questions about Shipping Velocity

What does Shipping Velocity do?

Help users accelerate their product development cycles by implementing high-intensity rituals, ruthless scoping, and technical guardrails that allow teams to ship faster without sacrificing quality. Shipping Velocity is an agent skill from RefoundAI/lenny-skills. Help users accelerate their product development cycles by implementing high-intensity rituals, ruthless scoping, and technical guardrails that allow teams to ship faster without sacrificing quality.

When should I use Shipping Velocity?

Shipping Velocity fits situations like: tasks that involve LLM guardrails.

How do I install Shipping Velocity in Claude Code?

Run `npx skills add RefoundAI/lenny-skills --skill shipping-velocity -a claude-code`. Or copy the skill folder (skills/shipping-velocity in RefoundAI/lenny-skills) into .claude/skills/shipping-velocity in your project. Claude Code loads it when a task matches its description.

How do I install Shipping Velocity in Codex?

Run `npx skills add RefoundAI/lenny-skills --skill shipping-velocity -a codex`. Or copy the skill folder (skills/shipping-velocity in RefoundAI/lenny-skills) into .agents/skills/shipping-velocity in your project. Codex loads it when a task matches its description.

Can I use Shipping Velocity 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 RefoundAI/lenny-skills --skill shipping-velocity -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shipping-velocity, .gemini/skills/shipping-velocity, .github/skills/shipping-velocity and .opencode/skills/shipping-velocity in your project.

What does Shipping Velocity need to run?

SKILL.md names no scripts, command-line tools or credentials: Shipping Velocity is instructions for the agent only.

Does Shipping Velocity access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Shipping Velocity safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Shipping Velocity use?

Shipping Velocity 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 Shipping Velocity use?

About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 16k tokens, read only when the agent opens those files.

What are the alternatives to Shipping Velocity?

Skills that share tags, products or a category with Shipping Velocity: Aisafetyhot (wuyoscar/AISafetyHot-Hub, 708 stars), Obliteratus (RedWoodOG/Hermes-Desktop, 177 stars), Lemonade Router Builder (amd/skills, 408 stars) and Execution Guardrails (mrtooher/fable-mode, 873 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shipping Velocity?

RefoundAI (a GitHub organization) maintains it in RefoundAI/lenny-skills, which has 1,382 GitHub stars. The repository holds 76 skills in this directory. The repository was last updated on July 16, 2026.

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