Structured Architectural Decision Record generator with AI-optimized formatting and sequential file management.
Works with
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
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncreate-architectural-decision-recordExecute the skills CLI command in your project's root directory to begin installation:
Fetches create-architectural-decision-record from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate create-architectural-decision-record. Access via /create-architectural-decision-record in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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Complete competitive research in 2 hours instead of 2 days
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Create an ADR document for ${input:DecisionTitle} using structured formatting optimized for AI consumption and human readability.
${input:Context}${input:Decision}${input:Alternatives}${input:Stakeholders}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.
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).
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]
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
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Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
github/awesome-copilot
github/awesome-copilot
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
Registry listing for create-architectural-decision-record matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: create-architectural-decision-record is focused, and the summary matches what you get after install.
We added create-architectural-decision-record from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
create-architectural-decision-record is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
create-architectural-decision-record fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for create-architectural-decision-record matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: create-architectural-decision-record is focused, and the summary matches what you get after install.
create-architectural-decision-record fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend create-architectural-decision-record for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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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