create-architectural-decision-record▌
github/awesome-copilot · updated Apr 8, 2026
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Structured Architectural Decision Record generator with AI-optimized formatting and sequential file management.
- ›Generates standardized ADR documents with front matter, context, decision rationale, and consequences organized into positive and negative outcomes
- ›Requires four inputs (decision title, context, decision, alternatives, stakeholders) with validation to prompt for missing information before generation
- ›Uses coded bullet-point system (3-4 letter codes + 3-digit numbers) across
Create Architectural Decision Record
Create an ADR document for ${input:DecisionTitle} using structured formatting optimized for AI consumption and human readability.
Inputs
- Context:
${input:Context} - Decision:
${input:Decision} - Alternatives:
${input:Alternatives} - Stakeholders:
${input:Stakeholders}
Input Validation
If any of the required inputs are not provided or cannot be determined from the conversation history, ask the user to provide the missing information before proceeding with ADR generation.
Requirements
- Use precise, unambiguous language
- Follow standardized ADR format with front matter
- Include both positive and negative consequences
- Document alternatives with rejection rationale
- Structure for machine parsing and human reference
- Use coded bullet points (3-4 letter codes + 3-digit numbers) for multi-item sections
The ADR must be saved in the /docs/adr/ directory using the naming convention: adr-NNNN-[title-slug].md, where NNNN is the next sequential 4-digit number (e.g., adr-0001-database-selection.md).
Required Documentation Structure
The documentation file must follow the template below, ensuring that all sections are filled out appropriately. The front matter for the markdown should be structured correctly as per the example following:
---
title: "ADR-NNNN: [Decision Title]"
status: "Proposed"
date: "YYYY-MM-DD"
authors: "[Stakeholder Names/Roles]"
tags: ["architecture", "decision"]
supersedes: ""
superseded_by: ""
---
# ADR-NNNN: [Decision Title]
## Status
**Proposed** | Accepted | Rejected | Superseded | Deprecated
## Context
[Problem statement, technical constraints, business requirements, and environmental factors requiring this decision.]
## Decision
[Chosen solution with clear rationale for selection.]
## Consequences
### Positive
- **POS-001**: [Beneficial outcomes and advantages]
- **POS-002**: [Performance, maintainability, scalability improvements]
- **POS-003**: [Alignment with architectural principles]
### Negative
- **NEG-001**: [Trade-offs, limitations, drawbacks]
- **NEG-002**: [Technical debt or complexity introduced]
- **NEG-003**: [Risks and future challenges]
## Alternatives Considered
### [Alternative 1 Name]
- **ALT-001**: **Description**: [Brief technical description]
- **ALT-002**: **Rejection Reason**: [Why this option was not selected]
### [Alternative 2 Name]
- **ALT-003**: **Description**: [Brief technical description]
- **ALT-004**: **Rejection Reason**: [Why this option was not selected]
## Implementation Notes
- **IMP-001**: [Key implementation considerations]
- **IMP-002**: [Migration or rollout strategy if applicable]
- **IMP-003**: [Monitoring and success criteria]
## References
- **REF-001**: [Related ADRs]
- **REF-002**: [External documentation]
- **REF-003**: [Standards or frameworks referenced]
How to use create-architectural-decision-record 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 create-architectural-decision-record
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches create-architectural-decision-record from GitHub repository github/awesome-copilot 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 create-architectural-decision-record. Access the skill through slash commands (e.g., /create-architectural-decision-record) 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★★★★★38 reviews- ★★★★★Anika Mensah· Dec 28, 2024
Registry listing for create-architectural-decision-record matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Li Shah· Dec 24, 2024
Solid pick for teams standardizing on skills: create-architectural-decision-record is focused, and the summary matches what you get after install.
- ★★★★★Kwame Srinivasan· Nov 15, 2024
We added create-architectural-decision-record from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Noah Abebe· Oct 22, 2024
create-architectural-decision-record is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Meera Sanchez· Oct 6, 2024
create-architectural-decision-record fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Arjun Mehta· Sep 25, 2024
Registry listing for create-architectural-decision-record matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Noah Taylor· Sep 13, 2024
Solid pick for teams standardizing on skills: create-architectural-decision-record is focused, and the summary matches what you get after install.
- ★★★★★Li Gonzalez· Sep 9, 2024
create-architectural-decision-record fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Rahul Santra· Sep 1, 2024
I recommend create-architectural-decision-record for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Noah Diallo· Aug 28, 2024
We added create-architectural-decision-record from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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