Structured decision-making frameworks and processes drawn from 65 product leaders.
Works with
Guides users through decision classification (reversible vs. irreversible), blocker identification, and framework selection to move from deliberation to action
Covers core principles including making implicit assumptions explicit, using curiosity loops for advice gathering, and distinguishing when data-driven analysis ends and conviction takes over
Flags common pitfalls: analysis paralysis, decision by
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionrunning-decision-processesExecute the skills CLI command in your project's root directory to begin installation:
Fetches running-decision-processes from refoundai/lenny-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate running-decision-processes. Access via /running-decision-processes in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Help the user run effective decision-making processes using frameworks from 65 product leaders.
When the user asks for help with decision processes:
Ben Horowitz: "The worst thing that you do as a leader is you hesitate on the next decision. The thing that causes you to hesitate is both decisions are horrible." Failing to make an explicit decision causes organizational anxiety. Recognize when you're avoiding a decision because all options are bad.
Annie Duke: "It's so incredibly necessary in improving decision quality to take what's implicit and make it explicit. It's not that intuition is crap... If you don't make it explicit, then you don't get to find out when it's wrong." Document the assumptions behind gut feelings so you can review them later and learn when intuition is right or wrong.
Ada Chen Rekhi: "A curiosity loop is essentially going to a whole bunch of people... asking them, 'Hey, here are nine topics... What are two or three of the topics that resonate with you and why?'" Gather contextual advice by asking specific questions that solicit rationale, not biased yes/no answers.
Anneka Gupta: "I try to construct this past knowledge of what had happened and what were the decisions that were made and why were those decisions made, whether they were good or bad." Research past failed projects to understand the context of previous decisions and navigate current resistance.
Brandon Chu: "Know how to make really, really hard high conviction decisions that actually can't be solved. You got to take a leap of faith and how to do that and bring teams through that type of ambiguity." Some decisions cannot be solved with data - take the leap and maintain high accountability for the choice.
Jeff Bezos: "Type 1 decisions are consequential and irreversible... Type 2 decisions are changeable, reversible." Spend more time on one-way doors. Move fast on reversible decisions.
Once a decision is made, the team must commit fully even if individuals disagreed during deliberation. Without commitment, decisions get relitigated endlessly.
Every decision needs a single accountable owner. Frameworks like DACI (Driver, Approver, Contributor, Informed) clarify who makes the call.
For all 82 insights from 65 guests, see references/guest-insights.md
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Useful defaults in running-decision-processes — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
running-decision-processes has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for running-decision-processes matched our evaluation — installs cleanly and behaves as described in the markdown.
We added running-decision-processes from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: running-decision-processes is the kind of skill you can hand to a new teammate without a long onboarding doc.
running-decision-processes is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: running-decision-processes is the kind of skill you can hand to a new teammate without a long onboarding doc.
running-decision-processes reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for running-decision-processes matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend running-decision-processes for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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