openspec-proposal-creation▌
forztf/open-skilled-sdd · updated Apr 8, 2026
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Creates comprehensive change proposals following spec-driven development methodology.
Specification Proposal Creation
Creates comprehensive change proposals following spec-driven development methodology.
Quick Start
Creating a spec proposal involves three main outputs:
- proposal.md - Why, what, and impact summary
- tasks.md - Numbered implementation checklist
- spec-delta.md - Formal requirement changes (ADDED/MODIFIED/REMOVED)
Basic workflow: Generate change ID → scaffold directories → draft proposal → create spec deltas → validate structure
Workflow
Copy this checklist and track progress:
Proposal Progress:
- [ ] Step 1: Review existing specifications
- [ ] Step 2: Generate unique change ID
- [ ] Step 3: Scaffold directory structure
- [ ] Step 4: Draft proposal.md (Why/What/Impact)
- [ ] Step 5: Create tasks.md implementation checklist
- [ ] Step 6: Write spec deltas with EARS format
- [ ] Step 7: Validate proposal structure
- [ ] Step 8: Present for user approval
Step 1: Review existing specifications
Before creating a proposal, understand the current state:
# List all existing specs
find spec/specs -name "spec.md" -type f
# List active changes to avoid conflicts
find spec/changes -maxdepth 1 -type d -not -path "*/archive"
# Search for related requirements
grep -r "### Requirement:" spec/specs/
Step 2: Generate unique change ID
Choose a descriptive, URL-safe identifier:
Format: add-<feature>, fix-<issue>, update-<component>, remove-<feature>
Examples:
add-user-authenticationfix-payment-validationupdate-api-rate-limitsremove-legacy-endpoints
Validation: Check for conflicts:
ls spec/changes/ | grep -i "<proposed-id>"
Step 3: Scaffold directory structure
Create the change folder with standard structure:
# Replace {change-id} with actual ID
mkdir -p spec/changes/{change-id}/specs/{capability-name}
Example:
mkdir -p spec/changes/add-user-auth/specs/authentication
Step 4: Draft proposal.md
Use the template at templates/proposal.md as starting point.
Required sections:
- Why: Problem or opportunity driving this change
- What Changes: Bullet list of modifications
- Impact: Affected specs, code, APIs, users
Tone: Clear, concise, decision-focused. Avoid unnecessary background.
Step 5: Create tasks.md implementation checklist
Break implementation into concrete, testable tasks. Use the template at templates/tasks.md.
Format:
# Implementation Tasks
1. [First concrete task]
2. [Second concrete task]
3. [Test task]
4. [Documentation task]
Best practices:
- Each task is independently completable
- Include testing and validation tasks
- Order by dependencies (database before API, etc.)
- 5-15 tasks is typical; split if more needed
Step 6: Write spec deltas with EARS format
This is the most critical step. Spec deltas use EARS format (Easy Approach to Requirements Syntax).
For complete EARS guidelines, see reference/EARS_FORMAT.md
Delta operations:
## ADDED Requirements- New capabilities## MODIFIED Requirements- Changed behavior (include full updated text)## REMOVED Requirements- Deprecated features
Basic requirement structure:
## ADDED Requirements
### Requirement: User Login
WHEN a user submits valid credentials,
the system SHALL authenticate the user and create a session.
#### Scenario: Successful Login
GIVEN a user with email "[email protected]" and password "correct123"
WHEN the user submits the login form
THEN the system creates an authenticated session
AND redirects to the dashboard
For validation patterns, see reference/VALIDATION_PATTERNS.md
Step 7: Validate proposal structure
Run these checks before presenting to user:
Structure Checklist:
- [ ] Directory exists: `spec/changes/{change-id}/`
- [ ] proposal.md has Why/What/Impact sections
- [ ] tasks.md has numbered task list (5-15 items)
- [ ] Spec deltas have operation headers (ADDED/MODIFIED/REMOVED)
- [ ] Requirements follow `### Requirement: <name>` format
- [ ] Scenarios use `#### Scenario:` format (4 hashtags)
Automated checks:
# Count delta operations (should be > 0)
grep -c "## ADDED\|MODIFIED\|REMOVED" spec/changes/{change-id}/specs/**/*.md
# Verify scenario format (should show line numbers)
grep -n "#### Scenario:" spec/changes/{change-id}/specs/**/*.md
# Check requirement headers
grep -n "### Requirement:" spec/changes/{change-id}/specs/**/*.md
Step 8: Present for user approval
Summarize the proposal clearly:
## Proposal Summary
**Change ID**: {change-id}
**Scope**: {brief description}
**Files created**:
- spec/changes/{change-id}/proposal.md
- spec/changes/{change-id}/tasks.md
- spec/changes/{change-id}/specs/{capability}/spec-delta.md
**Next steps**:
Review the proposal. If approved, say "openspec implement" or "apply the change" to begin implementation.
Advanced Topics
EARS format details: See reference/EARS_FORMAT.md Validation patterns: See reference/VALIDATION_PATTERNS.md Complete examples: See reference/EXAMPLES.md
Common Patterns
Pattern 1: New feature proposal
When adding net-new capability:
- Use
ADDED Requirementsdelta - Include positive scenarios AND error handling
- Consider edge cases in scenarios
Pattern 2: Breaking change proposal
When changing existing behavior:
- Use
MODIFIED Requirementsdelta - Include complete updated requirement text
- Document what changes and why in proposal.md
- Consider migration tasks in tasks.md
Pattern 3: Deprecation proposal
When removing features:
- Use
REMOVED Requirementsdelta - Document removal rationale in proposal.md
- Include cleanup tasks in tasks.md
- Consider user migration in impact section
Anti-Patterns to Avoid
Don't:
- Skip validation checks (always run grep patterns)
- Create proposals without reviewing existing specs first
- Use vague task descriptions ("Fix the thing")
- Write requirements without scenarios
- Forget error handling scenarios
- Mix multiple unrelated changes in one proposal
Do:
- Check for conflicts before creating change ID
- Write concrete, testable tasks
- Include positive AND negative scenarios
- Keep one concern per proposal
- Validate structure before presenting
File Templates
All templates are in the templates/ directory:
- proposal.md - Proposal structure
- tasks.md - Task checklist format
- spec-delta.md - Spec delta template
Reference Materials
- EARS_FORMAT.md - Complete EARS syntax guide
- VALIDATION_PATTERNS.md - Grep/bash validation
- EXAMPLES.md - Real-world proposal examples
Token budget: This SKILL.md is approximately 450 lines, under the 500-line recommended limit. Reference files load only when needed for progressive disclosure.
How to use openspec-proposal-creation on Cursor
AI-first code editor with Composer
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 openspec-proposal-creation
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches openspec-proposal-creation from GitHub repository forztf/open-skilled-sdd and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate openspec-proposal-creation. Access the skill through slash commands (e.g., /openspec-proposal-creation) 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
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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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★29 reviews- ★★★★★Benjamin Wang· Dec 24, 2024
openspec-proposal-creation reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Shikha Mishra· Dec 8, 2024
openspec-proposal-creation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Zaid Iyer· Dec 8, 2024
We added openspec-proposal-creation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aarav Gupta· Nov 27, 2024
Keeps context tight: openspec-proposal-creation is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Benjamin Brown· Nov 15, 2024
Registry listing for openspec-proposal-creation matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Fatima Anderson· Nov 7, 2024
openspec-proposal-creation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Layla Rahman· Oct 26, 2024
Useful defaults in openspec-proposal-creation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Lucas Brown· Oct 18, 2024
openspec-proposal-creation has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Benjamin Tandon· Oct 6, 2024
openspec-proposal-creation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Oshnikdeep· Sep 25, 2024
openspec-proposal-creation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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