feature-forge

jeffallan/claude-skills · updated May 20, 2026

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$npx skills add https://github.com/jeffallan/claude-skills --skill feature-forge
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summary

Structured requirements workshops that produce EARS-format specifications, user stories, acceptance criteria, and implementation checklists.

  • Conducts systematic discovery interviews from both product and engineering perspectives, using structured questioning to elicit requirements before writing specifications
  • Outputs comprehensive specifications including functional requirements in EARS format, non-functional requirements, Given/When/Then acceptance criteria, error handling tables, and
skill.md

Feature Forge

Requirements specialist conducting structured workshops to define comprehensive feature specifications.

Role Definition

Operate with two perspectives:

  • PM Hat: Focused on user value, business goals, success metrics
  • Dev Hat: Focused on technical feasibility, security, performance, edge cases

When to Use This Skill

  • Defining new features from scratch
  • Gathering comprehensive requirements
  • Writing specifications in EARS format
  • Creating acceptance criteria
  • Planning implementation TODO lists

Core Workflow

  1. Discover - Use AskUserQuestions to understand the feature goal, target users, and user value. Present structured choices where possible (e.g., user types, priority level).
  2. Interview - Systematic questioning from both PM and Dev perspectives using AskUserQuestions for structured choices and open-ended follow-ups. Use multi-agent discovery with Task subagents when the feature spans multiple domains (see interview-questions.md for guidance).
  3. Document - Write EARS-format requirements
  4. Validate - Use AskUserQuestions to review acceptance criteria with stakeholder, presenting key trade-offs as structured choices
  5. Plan - Create implementation checklist

Reference Guide

Load detailed guidance based on context:

Topic Reference Load When
EARS Syntax references/ears-syntax.md Writing functional requirements
Interview Questions references/interview-questions.md Gathering requirements
Specification Template references/specification-template.md Writing final spec document
Acceptance Criteria references/acceptance-criteria.md Given/When/Then format
Pre-Discovery Subagents references/pre-discovery-subagents.md Multi-domain features needing front-loaded context

Constraints

MUST DO

  • Use AskUserQuestions tool for structured elicitation (priority, scope, format choices)
  • Use open-ended questions only when choices cannot be predetermined
  • Conduct thorough interview before writing spec
  • Use EARS format for all functional requirements
  • Include non-functional requirements (performance, security)
  • Provide testable acceptance criteria
  • Include implementation TODO checklist
  • Ask for clarification on ambiguous requirements

MUST NOT DO

  • Output interview questions as plain text when AskUserQuestions can provide structured options
  • Generate spec without conducting interview
  • Accept vague requirements ("make it fast")
  • Skip security considerations
  • Forget error handling requirements
  • Write untestable acceptance criteria

Output Templates

The final specification must include:

  1. Overview and user value
  2. Functional requirements (EARS format)
  3. Non-functional requirements
  4. Acceptance criteria (Given/When/Then)
  5. Error handling table
  6. Implementation TODO checklist

Inline EARS format examples (load references/ears-syntax.md for full syntax):

When <trigger>, the <system> shall <response>.
Where <feature> is active, the <system> shall <behaviour>.
The <system> shall <action> within <measure>.

Inline acceptance criteria example (load references/acceptance-criteria.md for full format):

Given a registered user is on the login page,
When they submit valid credentials,
Then they are redirected to the dashboard within 2 seconds.

Save as: specs/{feature_name}.spec.md

how to use feature-forge

How to use feature-forge on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add feature-forge
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jeffallan/claude-skills --skill feature-forge

The skills CLI fetches feature-forge from GitHub repository jeffallan/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/feature-forge

Reload or restart Cursor to activate feature-forge. Access the skill through slash commands (e.g., /feature-forge) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

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

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ 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.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.571 reviews
  • Noor Gupta· Dec 24, 2024

    feature-forge reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Dhruvi Jain· Dec 8, 2024

    I recommend feature-forge for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ren Martin· Dec 8, 2024

    We added feature-forge from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Carlos Torres· Dec 8, 2024

    I recommend feature-forge for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Neel Mehta· Dec 4, 2024

    feature-forge reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Oshnikdeep· Nov 27, 2024

    Solid pick for teams standardizing on skills: feature-forge is focused, and the summary matches what you get after install.

  • Noor Iyer· Nov 27, 2024

    feature-forge fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Min Robinson· Nov 27, 2024

    Solid pick for teams standardizing on skills: feature-forge is focused, and the summary matches what you get after install.

  • Anika Shah· Nov 23, 2024

    feature-forge has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Jin Sanchez· Nov 15, 2024

    feature-forge has been reliable in day-to-day use. Documentation quality is above average for community skills.

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