Idea Darwin V2

Idea Darwin Engine

Overview

This public intake copy packages plugins/antigravity-awesome-skills/skills/idea-darwin from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Idea Darwin Engine A round-based idea iteration system that treats ideas as competing organisms — scoring, selecting, crossing, and evolving them through structured rounds to surface the strongest concepts.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Core Concepts, Personal knowledge base that learns my style, Commute-to-podcast converter, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• Use when you have many scattered ideas and need to systematically evaluate and develop them
• Use when you want to discover unexpected connections between ideas from different domains
• Use when you need structured iteration rather than one-shot brainstorming
• Use when you want a scoring framework to prioritize which ideas deserve more investment
• Use when the request clearly matches the imported source intent: Darwinian idea evolution engine — toss rough ideas onto an evolution island, let them compete, crossbreed, and mutate through structured rounds to surface your strongest concepts.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.

Operating Table

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Write Your Ideas Create an ideas.md file: ```markdown
2. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
3. Read the overview and provenance files before loading any copied upstream support files.
4. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
5. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
6. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
7. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.

Imported Workflow Notes

Imported: Step-by-Step Guide

1. Write Your Ideas

Create an ideas.md file:

#### Imported: Overview

Most idea management tools are filing cabinets: they store ideas, tag them, and let them rot. Idea Darwin flips the paradigm — instead of organizing ideas, it lets them **compete**. Every idea is a living species on an evolution island. Each round, the fittest get deepened, different ideas cross-pollinate to produce unexpected hybrids, and external stimuli trigger mutations.

#### Imported: Core Concepts

### Evolution Island Metaphor

Your ideas are alive on this island. Like organisms, they follow three core laws:

1. **Evolution** — Each round, the system deepens the most viable ideas through structured research: filling logical gaps, clarifying paths, identifying risks.
2. **Crossbreeding** — The system cross-pollinates different ideas. A technical approach from work meets an observation from daily life, producing directions you never imagined.
3. **Mutation** — External stimuli (industry news, theories, conversations) trigger mutations, spawning entirely new species.

### Species Cards

Every idea gets a structured card recording: core question, full description, lineage (parent/child IDs), 6-dimensional scores, and change history.

### 6-Dimensional Scoring

| Dimension | Weight | What It Measures |
|---|---|---|
| Novelty | 10% | Genuine breakthrough or repetition? |
| Feasibility | 20% | Technically and resource-wise achievable? |
| Value | 20% | Impact if successful? |
| Logic | 20% | Internally consistent, no gaps? |
| Cross Potential | 10% | Can spark something new when combined? |
| Verifiability | 20% | Can we design a validation path? |

### Idea Lifecycle

seed → exploring → refining → crossing → validated → dormant

The user always has final say on all life-or-death decisions. The system only recommends.

## Examples

### Example 1: Ask for the upstream workflow directly

```text
Use @idea-darwin-v2 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @idea-darwin-v2 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @idea-darwin-v2 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @idea-darwin-v2 using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Imported Usage Notes

Imported: Examples

Example 1: Initialize

/idea-darwin init --budget 8 --actions 3

Example 2: Run Multiple Rounds

/idea-darwin round 3

Example 3: Manage Ideas

/idea-darwin dormant IDEA-0005
/idea-darwin wake IDEA-0005

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Do: Write ideas as rough as you want — the system structures them
• Do: Add external stimuli to prevent idea convergence
• Do: Run disruption rounds to surface overlooked ideas
• Don't: Over-curate initial ideas — let evolution filter
• Don't: Ignore the "Decisions Needed" section in briefings
• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.

Imported Operating Notes

Imported: Best Practices

• Do: Write ideas as rough as you want — the system structures them
• Do: Add external stimuli to prevent idea convergence
• Do: Run disruption rounds to surface overlooked ideas
• Don't: Over-curate initial ideas — let evolution filter
• Don't: Ignore the "Decisions Needed" section in briefings

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills/skills/idea-darwin, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Imported Reference Notes

Imported: Additional Resources

• GitHub Repository
• Available in 3 languages: English, Chinese, Japanese
• ClawHub: clawhub install idea-darwin

Imported: Personal knowledge base that learns my style

I want a system that reads everything I write and gradually learns how I think.

Imported: Commute-to-podcast converter

Record voice memos during my commute, auto-convert them into podcast scripts.

### 2. Initialize Your Island

/idea-darwin init

### 3. Start Evolving

/idea-darwin round

### 4. Keep Feeding the Island

Append new ideas to `ideas.md`, add environmental variables to `stimuli.md`.

#### Imported: Limitations

- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.