User Story Writer
deanpeters/Product-Manager-Skills
Writes user stories in Mike Cohn's format with Gherkin acceptance criteria, turning user needs into development-ready work with testable conditions.
Help users build a sustainable habit of regular customer interaction to ensure product development is driven by real-world needs rather than internal assumptions.
$ npx skills add RefoundAI/lenny-skills --skill continuous-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install RefoundAI/lenny-skills continuous-discovery --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/continuous-discovery .claude/skills/continuous-discovery && rm -rf skills-srcUse ~/.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/
Install the "continuous-discovery" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/continuous-discovery into .claude/skills/continuous-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-discovery", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/RefoundAI/lenny-skills/tree/main/skills/continuous-discoveryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add RefoundAI/lenny-skills --skill continuous-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install RefoundAI/lenny-skills continuous-discovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/continuous-discovery .agents/skills/continuous-discovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "continuous-discovery" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/continuous-discovery into .agents/skills/continuous-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-discovery", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add RefoundAI/lenny-skills --skill continuous-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install RefoundAI/lenny-skills continuous-discovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/continuous-discovery .cursor/skills/continuous-discovery && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "continuous-discovery" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/continuous-discovery into .cursor/skills/continuous-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-discovery", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/RefoundAI/lenny-skills.git --path skills/continuous-discovery--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add RefoundAI/lenny-skills --skill continuous-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install RefoundAI/lenny-skills continuous-discovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/continuous-discovery .gemini/skills/continuous-discovery && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "continuous-discovery" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/continuous-discovery into .gemini/skills/continuous-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-discovery", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install RefoundAI/lenny-skills continuous-discoveryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add RefoundAI/lenny-skills --skill continuous-discovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/continuous-discovery .github/skills/continuous-discovery && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "continuous-discovery" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/continuous-discovery into .github/skills/continuous-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-discovery", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add RefoundAI/lenny-skills --skill continuous-discovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install RefoundAI/lenny-skills continuous-discovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/continuous-discovery .opencode/skills/continuous-discovery && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "continuous-discovery" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/continuous-discovery into .opencode/skills/continuous-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-discovery", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
continuous-discoveryHelp users build a sustainable habit of regular customer interaction to ensure product development is driven by real-world needs rather than internal assumptions.
Continuous Discovery is an agent skill from RefoundAI/lenny-skills. Help users build a sustainable habit of regular customer interaction to ensure product development is driven by real-world needs rather than internal assumptions.
Its SKILL.md is about 2k 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 Product & Project Management. 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.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 13598cc. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Continuous Discovery loads about 2k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 1,163 words of instructions outside code blocks.
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.
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.
The full file from RefoundAI/lenny-skills at commit 13598cc, republished under its MIT licence (© RefoundAI). 1,163 words, ~2,022 tokens.
.claude/skills/continuous-discovery/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Turn customer feedback from a periodic chore into a high-frequency engine for product decisions.
Help the user with continuous product discovery using insights from 23 guests and posts across Lenny's Podcast and Newsletter.
Teresa Torres: "I can tell you that opportunity is an unmet need pain point or desire, and that's great. But I can tell you that 98% of people that write opportunities write them as solutions. So we tend to just really struggle with this distinction between the problem space and the solution space."
True discovery requires defining every opportunity strictly as an unmet customer need rather than a pre-conceived feature idea.
Brian Tolkin: "Talking to customers every single day like one-on-one onboarding drivers responding to support tickets, there's no centralized support team, there was no closer to the customer, right? And so I think that foundation actually for really understanding what moves the business and being super close to the customer actually is a pretty good foundation for them going on to say, okay, what do we actually want to build in a more scalable technology way?"
Deep empathy is built by eliminating centralized filters and having product teams engage directly in onboarding and support.
Itamar Gilad: "Google, was what I call an evidence guided company. So essentially it put a high premium on focusing on customers, coming up with a lot of ideas on looking at the data, looking at how these ideas actually worked out. They weren't shy about launching betas and things that were very rough and incomplete and learning from that and then they expected people to take action based on the results."
Launch rough, incomplete versions to gather real-world data that dictates whether to pivot or proceed with the engineering task.
Jeff Weinstein: "The moment the customer felt compelled enough to go out of their way to talk about some problem, that's a unbelievable gift. I will leave a meeting to just get one message back to them. If you're text message friendly with five or 10 of those, you are going to have so much direct signal that is infectious."
Direct, informal communication with motivated users, such as text messaging, often provides higher quality signals than structured research.
Judd Antin: "Well, the solution is simple but not easy to me. It's that we need to restructure the way we make products in a way which integrates research much more fully. It looks like consistent relationships in which researchers, and the work, and the insights they provide are a part of the process from beginning to end."
Research should be an integrated partner throughout the entire development process rather than a reactive service used at the start.
From "The unconventional Palantir principles that catalyzed a generation of startups": "You have to be the user to unlock this concept. I don’t mean that spiritually as in “think like the user”; I mean literally do their same job with your product as an extended member of their team and see what you learn."
Perform the customer's actual work alongside them to reveal the operational friction that interviews alone cannot uncover.
Nabeel S. Qureshi: "There was a different type of engineer which you sent into the field. You would spend maybe Monday to Thursday and you would actually go into the building where the customer worked and you would work alongside them. You would literally get a desk there and so, that engineer became known as a forward deployed engineer."
High-value enterprise discovery is best achieved by having engineers work on-site at customer offices to identify tactical bottlenecks.
See references/artifacts.md for the full list with details.
For all 27 sourced insights from 23 guests, see references/guest-insights.md
© RefoundAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/continuous-discovery of RefoundAI/lenny-skills.
Open the folder on GitHubat commit 13598cc
Continuous Discovery 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Continuous Discovery this skillRefoundAI/lenny-skills | 1.4k | — | ~2k | Automated safety check: Pass | MIT | |
| User Story Writerdeanpeters/Product-Manager-Skills | 7.2k | 2 repos | ~2.9k | Automated safety check: Pass | Custom licence | |
| Game Changing FeaturesopenstatusHQ/data-table-filters | 2.3k | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| CCPM Project Managementautomazeio/ccpm | 8.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Convex Create Componentspokvulcan/poker-planning | 114 | 8 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Self Improving Agentfarm-fe/farm | 5.6k | 2 repos | ~3.3k | Automated safety check: Notes | MIT |
deanpeters/Product-Manager-Skills
Writes user stories in Mike Cohn's format with Gherkin acceptance criteria, turning user needs into development-ready work with testable conditions.
openstatusHQ/data-table-filters
Find 10x product opportunities and high-leverage improvements.
automazeio/ccpm
Runs a spec-driven workflow from PRD to epic to GitHub issues to parallel agents, with status, standup and blocked-work reports from bundled scripts.
spokvulcan/poker-planning
Builds reusable Convex components with isolated tables and app-facing APIs.
farm-fe/farm
A universal self-improving agent that learns from ALL skill experiences.
garrytan/gstack
Builds a weekly engineering retrospective from git history: commit counts, per-person contributions, work patterns and code quality numbers over a chosen window.
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.
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.
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.
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.
RefoundAI/lenny-skills
Help users build functional product prototypes from natural language or visual mocks using AI coding tools.
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.
Categories
Help users build a sustainable habit of regular customer interaction to ensure product development is driven by real-world needs rather than internal assumptions. Continuous Discovery is an agent skill from RefoundAI/lenny-skills. Help users build a sustainable habit of regular customer interaction to ensure product development is driven by real-world needs rather than internal assumptions.
Continuous Discovery fits situations like: product & Project Management work in your project.
Run `npx skills add RefoundAI/lenny-skills --skill continuous-discovery -a claude-code`. Or copy the skill folder (skills/continuous-discovery in RefoundAI/lenny-skills) into .claude/skills/continuous-discovery in your project. Claude Code loads it when a task matches its description.
Run `npx skills add RefoundAI/lenny-skills --skill continuous-discovery -a codex`. Or copy the skill folder (skills/continuous-discovery in RefoundAI/lenny-skills) into .agents/skills/continuous-discovery in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add RefoundAI/lenny-skills --skill continuous-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/continuous-discovery, .gemini/skills/continuous-discovery, .github/skills/continuous-discovery and .opencode/skills/continuous-discovery in your project.
SKILL.md names no scripts, command-line tools or credentials: Continuous Discovery is instructions for the agent only.
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.
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.
Continuous Discovery is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8.1k 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 13k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Continuous Discovery: User Story Writer (deanpeters/Product-Manager-Skills, 7.2k stars), Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), CCPM Project Management (automazeio/ccpm, 8.4k stars) and Convex Create Component (spokvulcan/poker-planning, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
RefoundAI (a GitHub organization) maintains it in RefoundAI/lenny-skills, which has 1,377 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.