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product-concept-synthesis

Produce three materially different product concepts and a traceable SampleSpec draft from evidence and manufacturing boundaries.

Skill by Orionxu6

IndexedApache-2.0★ 2
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Produce three materially different product concepts and a traceable SampleSpec draft from evidence and manufacturing boundaries.

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/product-concept-synthesis

What's inside

Skill name
product-concept-synthesis
Description
Produce three materially different product concepts and a traceable SampleSpec draft from evidence and manufacturing boundaries.
License
Apache-2.0
Instructions
30 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Product Concept Synthesis

## Inputs

- Accepted ConceptDirectionSet, OpportunityBrief, and prioritized pain points.
- CategoryProfile and target-market constraints.
- Supply manufacturability boundary and compliance flags.

## Procedure

1. Generate exactly three concepts: a low-risk baseline, a balanced recommendation, and a high-differentiation exploration. They must differ in mechanism or value proposition, not color-only variants.
2. Link every differentiator to a pain-point reference and record its manufacturing and safety trade-off.
3. For each concept, record the current-product weakness it changes, the source of the idea, category advantage retained, likely failure mode, cost direction, compliance impact, and validation task.
4. Produce a draft SampleSpec using only fields from the active CategoryProfile. Separate locked values, target ranges, assumptions, and unknowns.
5. Call `image.generate` only after the concept text and provisional dimensions are versioned. The prompt must include category, user/use scene, key geometry and dimensions, materials/finish, structure, manufacturing form, camera view, neutral background, and negative constraints: no text, logo, certification mark, hands, supplier identity, or feature absent from SampleSpec.
6. Persist `RenderPromptRecord` and `RenderManifest` with input refs, model, seed, prompt hash, spec hash, output hash, provider, and data mode.
7. Mark every generated image `SYNTHETIC_CONCEPT`; never treat it as CAD, test evidence, or supplier capability.
8. After Human Manager selects a concept, create a new locked revision rather than mutating the draft. Generate one RFQ render for the selected concept and reject it if any visible feature conflicts with the locked SampleSpec.

## Output

- `ProductConceptSet`, `SampleSpec`, `RenderPromptRecord`, and `RenderManifest`.

## Failure Path

- Missing manufacturing boundary or CategoryProfile -> submit draft and request evidence; do not lock.
- Image provider unavailable -> emit `MODEL_DEGRADED` and use the versioned replay asset.
- Image/spec mismatch -> Reviewer requires a new render before RFQ.

From Orionxu6/gap2sku, Apache-2.0.

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Last commit (this folder)
Sep 3, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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product-concept-synthesis skill. Agent Mart. https://agentmart.dev/skills/orionxu6-product-concept-synthesis (last updated 2026-10-24)