design-orchestration

sickn33/antigravity-awesome-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill design-orchestration
0 commentsdiscussion
summary

Ensure that ideas become designs, designs are reviewed, and

  • only validated designs reach implementation.
skill.md

Design Orchestration (Meta-Skill)

Purpose

Ensure that ideas become designs, designs are reviewed, and only validated designs reach implementation.

This skill does not generate designs. It controls the flow between other skills.


Operating Model

This is a routing and enforcement skill, not a creative one.

It decides:

  • which skill must run next
  • whether escalation is required
  • whether execution is permitted

Controlled Skills

This meta-skill coordinates the following:

  • brainstorming — design generation
  • multi-agent-brainstorming — design validation
  • downstream implementation or planning skills

Entry Conditions

Invoke this skill when:

  • a user proposes a new feature, system, or change
  • a design decision carries meaningful risk
  • correctness matters more than speed

Routing Logic

Step 1 — Brainstorming (Mandatory)

If no validated design exists:

  • Invoke brainstorming
  • Require:
    • Understanding Lock
    • Initial Design
    • Decision Log started

You may NOT proceed without these artifacts.


Step 2 — Risk Assessment

After brainstorming completes, classify the design as:

  • Low risk
  • Moderate risk
  • High risk

Use factors such as:

  • user impact
  • irreversibility
  • operational cost
  • complexity
  • uncertainty
  • novelty

Step 3 — Conditional Escalation

  • Low risk
    → Proceed to implementation planning

  • Moderate risk
    → Recommend multi-agent-brainstorming

  • High risk
    → REQUIRE multi-agent-brainstorming

Skipping escalation when required is prohibited.


Step 4 — Multi-Agent Review (If Invoked)

If multi-agent-brainstorming is run:

Require:

  • completed Understanding Lock
  • current Design
  • Decision Log

Do NOT allow:

  • new ideation
  • scope expansion
  • reopening problem definition

Only critique, revision, and decision resolution are allowed.


Step 5 — Execution Readiness Check

Before allowing implementation:

Confirm:

  • design is approved (single-agent or multi-agent)
  • Decision Log is complete
  • major assumptions are documented
  • known risks are acknowledged

If any condition fails:

  • block execution
  • return to the appropriate skill

Enforcement Rules

  • Do NOT allow implementation without a validated design
  • Do NOT allow skipping required review
  • Do NOT allow silent escalation or de-escalation
  • Do NOT merge design and implementation phases

Exit Conditions

This meta-skill exits ONLY when:

  • the next step is explicitly identified, AND
  • all required prior steps are complete

Possible exits:

  • “Proceed to implementation planning”
  • “Run multi-agent-brainstorming”
  • “Return to brainstorming for clarification”
  • "If a reviewed design reports a final disposition of APPROVED, REVISE, or REJECT, you MUST route the workflow accordingly and state the chosen next step explicitly."

Design Philosophy

This skill exists to:

  • slow down the right decisions
  • speed up the right execution
  • prevent costly mistakes

Good systems fail early. Bad systems fail in production.

This meta-skill exists to enforce the former.

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

how to use design-orchestration

How to use design-orchestration on Cursor

AI-first code editor with Composer

1

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 design-orchestration
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill design-orchestration

The skills CLI fetches design-orchestration from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/design-orchestration

Reload or restart Cursor to activate design-orchestration. Access the skill through slash commands (e.g., /design-orchestration) 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

Submit your Claude Code skill and start earning

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.570 reviews
  • Noah Ndlovu· Dec 28, 2024

    Useful defaults in design-orchestration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Michael Robinson· Dec 16, 2024

    We added design-orchestration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Harper Srinivasan· Dec 12, 2024

    design-orchestration reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Michael Agarwal· Dec 12, 2024

    Solid pick for teams standardizing on skills: design-orchestration is focused, and the summary matches what you get after install.

  • Olivia Sanchez· Nov 19, 2024

    Registry listing for design-orchestration matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Michael Bhatia· Nov 7, 2024

    Solid pick for teams standardizing on skills: design-orchestration is focused, and the summary matches what you get after install.

  • Harper Ramirez· Nov 3, 2024

    I recommend design-orchestration for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Michael Haddad· Nov 3, 2024

    We added design-orchestration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Fatima Khan· Oct 26, 2024

    design-orchestration has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hiroshi Haddad· Oct 22, 2024

    Useful defaults in design-orchestration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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