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feature-forge

Conducts structured requirements workshops to produce feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation checklists

Install / Use

npx skills add Jeffallan/claude-skills --skill feature-forge

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

91/100

Category

Automation

Supported Platforms

Universal

Our assessment of feature-forge

feature-forge scores 91/100 on our quality scale, 632nd of 1,943 Automation skills we index (top 33%).

Its SKILL.md is 4.2 KB long, well organised into 9 sections with 2 code examples: a solid amount of guidance for an agent.

With 11,621 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
18/20
Description
15/15
Adoption
17/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 2 months ago, so feature-forge is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

feature-forge compared with similar skills

All 4 of these similar skills score higher than feature-forge; compare them before choosing.

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feature-forge (this skill)by Jeffallan9111.6k51d agoSKILL.md
Agent-Reachby Panniantong10085.8k12d agoCLAUDE.md
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algorithmic-artby anthropics100177.9k5d agoSKILL.md

Frequently asked questions

How do I install feature-forge?
Run npx skills add Jeffallan/claude-skills --skill feature-forge. The install tabs above show the steps for each supported agent.
Which AI agents does feature-forge work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is feature-forge safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is feature-forge still maintained?
The repository was last updated about 2 months ago, so feature-forge is actively maintained.

name: feature-forge description: Conducts structured requirements workshops to produce feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation checklists. Use when defining new features, gathering requirements, or writing specifications. Invoke for feature definition, requirements gathering, user stories, EARS format specs, PRDs, acceptance criteria, or requirement matrices. license: MIT metadata: author: https://github.com/Jeffallan version: "1.1.0" domain: workflow triggers: requirements, specification, feature definition, user stories, EARS, planning role: specialist scope: design output-format: document related-skills: fullstack-guardian, spec-miner, test-master

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

Documentation

Related Skills

View on GitHub
GitHub Stars11.6k
CategoryAutomation
Updated1mo ago
Forks1.1k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions