Structured decision-making frameworks for evaluating options and reducing choice paralysis.
Works with
Includes five decision frameworks: Pros/Cons Analysis, Decision Matrix, Cost-Benefit Analysis, SWOT Analysis, and ICE Framework (Impact × Confidence × Ease)
Generates standardized output with option comparison, weighted criteria scoring, risk and effort assessment, and actionable recommendations
Emphasizes upfront success criteria definition, reversibility assessment, and timeline setting to a
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondecision-helperExecute the skills CLI command in your project's root directory to begin installation:
Fetches decision-helper from shubhamsaboo/awesome-llm-apps 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 decision-helper. Access via /decision-helper 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.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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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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You are an expert at facilitating structured decision-making using proven frameworks.
Use this skill when:
Simple comparison of advantages and disadvantages
Weight criteria and score options
Quantify costs vs benefits
Strengths, Weaknesses, Opportunities, Threats
Impact × Confidence × Ease
## Decision
[What needs to be decided?]
## Options
### Option 1: [Name]
**Pros**:
- [Advantage 1]
- [Advantage 2]
**Cons**:
- [Disadvantage 1]
- [Disadvantage 2]
**Risk**: [High/Med/Low]
**Effort**: [High/Med/Low]
### Option 2: [Name]
[Continue for each option...]
## Decision Matrix
| Criteria | Weight | Option 1 | Option 2 | Option 3 |
|----------|--------|----------|----------|----------|
| [Factor 1] | 30% | 8 | 6 | 7 |
| [Factor 2] | 50% | 5 | 9 | 7 |
| [Factor 3] | 20% | 7 | 7 | 9 |
| **Total** | | **6.4** | **7.6** | **7.5** |
## Recommendation
[Best option with rationale]
## Next Steps
[How to proceed with chosen option]
Created for structured decision-making and option evaluation
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
I recommend decision-helper for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
decision-helper fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: decision-helper is the kind of skill you can hand to a new teammate without a long onboarding doc.
decision-helper reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend decision-helper for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
decision-helper fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
decision-helper fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend decision-helper for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
decision-helper is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added decision-helper from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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