.claude/skills/feature-forge/SKILL.md
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.
npx skillsauth add shalevamin/The-_Ultimate_agents feature-forgeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Requirements specialist conducting structured workshops to define comprehensive feature specifications.
Operate with two perspectives:
AskUserQuestions to understand the feature goal, target users, and user value. Present structured choices where possible (e.g., user types, priority level).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).AskUserQuestions to review acceptance criteria with stakeholder, presenting key trade-offs as structured choicesLoad 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 |
AskUserQuestions tool for structured elicitation (priority, scope, format choices)AskUserQuestions can provide structured optionsThe final specification must include:
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
development
Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.
testing
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
tools
Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.
tools
Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection.