Spec Iterator
ProductFree# Stop Building Features Based on Assumptions **Spec Iterator** conducts structured AI-powered clarification sessions that systematically uncover gaps in your requirements *before* you write code. --- ## The Problem Everyone Ignores ``` Stakeholder: "Build a dashboard for our sales team"
Capabilities5 decomposed
structured requirement analysis
Medium confidenceThis capability analyzes rough requirements by detecting entities and identifying gaps in the specifications using a structured approach. It utilizes natural language processing to break down input text into key components, such as features and user roles, and assesses the completeness of the requirements based on predefined categories. This systematic analysis helps in uncovering hidden assumptions and missing details before development begins.
Employs a multi-layered NLP approach to dissect requirements into entities and gaps, rather than relying on simple keyword extraction.
More comprehensive than traditional requirement analysis tools that only focus on keyword matching.
multi-turn clarification sessions
Medium confidenceThis capability facilitates a series of interactive clarification sessions where stakeholders can respond to targeted questions generated based on the initial requirement analysis. It uses a looped questioning mechanism to iteratively refine the requirements, ensuring that each round builds upon the previous responses, thus progressively increasing the completeness score of the project specifications.
Utilizes a dynamic questioning framework that adapts based on previous answers, unlike static question lists used in many tools.
More adaptive and context-aware than traditional survey tools that do not adjust based on user input.
completeness scoring
Medium confidenceThis capability evaluates and scores the completeness of requirements across five distinct categories: functional, technical, UX, edge cases, and constraints. It employs a weighted scoring system that quantifies the level of detail provided in each category, allowing users to visualize areas needing improvement and track progress over time.
Incorporates a multi-dimensional scoring system that breaks down completeness into actionable insights, rather than a single score.
Offers a more granular view of requirement completeness compared to basic checklist tools that provide binary pass/fail assessments.
automated spec generation
Medium confidenceThis capability generates comprehensive project specifications based on the clarified requirements and completeness scores. It compiles the information into a structured format, including problem statements, user flows, features, acceptance criteria, and edge cases, ensuring that all critical aspects are documented systematically for development teams.
Generates specifications in a structured format that is ready for development, unlike many tools that provide unstructured text outputs.
More structured and comprehensive than general-purpose documentation tools that lack requirement-specific templates.
session progress tracking
Medium confidenceThis capability allows users to monitor the progress of clarification sessions in real-time, providing insights into the current completeness score and the number of rounds completed. It utilizes a dashboard-like interface to present the status of each session, helping users manage their time and focus on areas needing attention.
Provides a visual dashboard for session tracking, unlike traditional tools that rely on manual updates or static reports.
More visually intuitive and real-time than conventional project management tools that lack dynamic updates.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with Spec Iterator, ranked by overlap. Discovered automatically through the match graph.
Paper - ChatDev: Communicative Agents for Software Development
[Local demo](https://github.com/OpenBMB/ChatDev/blob/main/wiki.md#local-demo)
ai-prd-workflow
A structured prompt pipeline that turns vague ideas into implementable RFCs — works with any AI assistant.
ospec
Document-driven AI development for AI coding assistants.
yAgents
Capable of designing, coding and debugging tools
Delibr
Revolutionize product management with AI-driven documentation, Jira integration, and streamlined...
Best For
- ✓product managers wanting to refine project specifications
- ✓tech leads ensuring clarity before development
- ✓solo developers needing structured feedback
- ✓startup founders validating ideas with stakeholders
- ✓product managers tracking requirement quality
- ✓consultants standardizing requirement processes
- ✓tech leads creating documentation for development teams
- ✓consultants standardizing deliverables
Known Limitations
- ⚠Requires clear initial input; vague requirements may lead to inaccurate analysis
- ⚠Performance may vary based on the complexity of the input
- ⚠Dependent on stakeholder engagement; lack of responses can stall the process
- ⚠Requires multiple interactions which can be time-consuming
- ⚠Scores are subjective and depend on the accuracy of input data
- ⚠May not capture qualitative nuances in requirements
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
About
# Stop Building Features Based on Assumptions **Spec Iterator** conducts structured AI-powered clarification sessions that systematically uncover gaps in your requirements *before* you write code. --- ## The Problem Everyone Ignores ``` Stakeholder: "Build a dashboard for our sales team" ↓ You build it ↓ Stakeholder: "Where's the pipeline view?" ↓ You: "You didn't mention that" ↓ Stakeholder: "I assumed it was obvious" ↓ 💸 2 weeks of rework ``` **Requirements arrive incomplete.** Stakeholders don't know what they don't know. The "obvious" features only become obvious after you ship the wrong thing. --- ## How Spec Iterator Works ``` ┌─────────────────────────────────────────────────────────────┐ │ "We need order tracking for customers" │ └─────────────────────────────────────────────────────────────┘ ↓ ┌─────────────────────────────────────────────────────────────┐ │ 🔍 ANALYZE │ │ ───────────────────────────────────────────────────────── │ │ • Entities detected: orders, customers, tracking │ │ • Gaps found: users undefined, stages unclear, no UX │ │ • Completeness: 12% │ └─────────────────────────────────────────────────────────────┘ ↓ ┌─────────────────────────────────────────────────────────────┐ │ ❓ CLARIFY (Round 1) │ │ ───────────────────────────────────────────────────────── │ │ 1. Who are the primary users of this tracking system? │ │ 2. What order stages should be visible to customers? │ │ 3. Should users receive notifications? Which events? │ │ 4. What systems contain order data today? │ └─────────────────────────────────────────────────────────────┘ ↓ [You provide answers] ↓ ┌─────────────────────────────────────────────────────────────┐ │ ❓ CLARIFY (Round 2) — Completeness: 48% │ │ ───────────────────────────────────────────────────────── │ │ 1. Email or SMS for notifications? Or both? │ │ 2. Real-time tracking needed or periodic updates? │ │ 3. What about returns and exchanges? │ │ 4. Mobile app or web only? │ └─────────────────────────────────────────────────────────────┘ ↓ [You provide answers] ↓ ┌─────────────────────────────────────────────────────────────┐ │ ✅ READY — Completeness: 84% │ │ ───────────────────────────────────────────────────────── │ │ All critical gaps resolved. Ready to generate spec. │ └─────────────────────────────────────────────────────────────┘ ↓ ┌─────────────────────────────────────────────────────────────┐ │ 📄 GENERATE │ │ ───────────────────────────────────────────────────────── │ │ • Problem statement with user personas │ │ • Step-by-step user flow │ │ • Features with acceptance criteria │ │ • Edge cases with handling strategies │ │ • Documented assumptions │ │ • Open questions for stakeholders │ └─────────────────────────────────────────────────────────────┘ ``` --- ## Completeness Scoring Track exactly what's missing across **5 categories**: | Category | Weight | What It Covers | |----------|--------|----------------| | **Functional** | 30% | Features, users, business rules | | **Technical** | 25% | Integrations, data, APIs | | **UX** | 20% | Flows, errors, accessibility | | **Edge Cases** | 15% | Errors, boundaries, recovery | | **Constraints** | 10% | Budget, compliance, scale | **Example output:** ``` Completeness: 73% ├── Functional: ████████░░ 85% ├── Technical: ██████░░░░ 60% ├── UX: ███████░░░ 75% ├── Edge Cases: █████░░░░░ 55% └── Constraints: ████████░░ 80% ⚠️ Technical gaps: Data refresh frequency, API rate limits ⚠️ Edge cases: Offline handling, partial order updates ``` --- ## Tools Included | Tool | Description | |------|-------------| | `spec_start_session` | Start clarification from a rough requirement | | `spec_answer_questions` | Provide answers, receive follow-up questions | | `spec_get_gaps` | See exactly what's missing and the impact | | `spec_generate` | Generate complete specification | | `spec_get_status` | Check session progress | | `spec_list_sessions` | List all active sessions | --- ## Sample Output ```markdown # Order Tracking System ## Problem Statement **Pain:** Customers have no visibility into order status after purchase **Who:** E-commerce customers, support team **Workarounds:** Calling support, checking email for shipping updates ## Features ### 1. Order Status Page (MVP) Customers can view real-time order status on a dedicated page. **Acceptance Criteria:** - [ ] Display order stages: Confirmed → Processing → Shipped → Delivered - [ ] Show estimated delivery date - [ ] Update within 5 minutes of status change - [ ] Accessible without login via order ID + email ### 2. Email Notifications (MVP) Automated emails at key order milestones. **Acceptance Criteria:** - [ ] Send on: order confirmed, shipped, out for delivery, delivered - [ ] Include tracking link when available - [ ] Unsubscribe option per notification type ## Edge Cases | Scenario | Handling | |----------|----------| | Order stuck in "Processing" > 48h | Trigger support alert | | Tracking number not yet available | Show "Tracking available soon" | | Multiple shipments per order | Show each shipment separately | ``` --- ## Who It's For **Product Managers** → Stop missing requirements that cause rework **Tech Leads** → Don't estimate incomplete requirements **Solo Developers** → Think through requirements systematically **Startup Founders** → Document ideas with implementation detail **Consultants** → Standardize discovery across clients --- ## Configuration Requires your Anthropic API key: | Parameter | Description | |-----------|-------------| | `ANTHROPIC_API_KEY` | Your Anthropic API key | **You pay Claude directly** — typical spec costs $0.05-0.15 in API usage (3-5 rounds of clarification). --- ## Quick Start 1. **Connect** Spec Iterator in Claude Desktop 2. **Run:** `spec_start_session` with your rough requirement 3. **Answer** the clarifying questions 4. **Generate** when completeness hits 80%+ --- ## Resources - **GitHub:** [Repository](https://github.com/JesseHenson/claude_code_apex_marketplace/tree/master/plugins/spec-iterator-mcp) - **Demo:** Coming soon - **Support:** Open an issue on GitHub --- ## Version **v0.1.0** — Initial release - Multi-turn clarification flow - Completeness scoring (5 categories) - Markdown and JSON output - Session persistence Site: https://aibusinessautomation.solutions/
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