img-gen-taste

REVIEW · 67
Registry indexed

Develop art direction for image generation with curated style cards distilled from Open Image Prompts. Use when choosing or comparing visual directions, improving an existing generation prompt, or translating a subject, use case, or supplied image into a compact creative spec. Us

Verified installs0
Stars224
Version1.0.0
Quality71/100 · Strong
Trust67/100 · Sandbox only
Audit81/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add NanmiCoder/open-image-prompts --skill img-gen-taste

Maintenance

fresh

Pushed today

Risk

Needs review

Financial research output is not financial advice; require human review before any live investment decision

GitHub quality

224

71/100 Quality · 75/100 Trust

Coverage tags

ResearchResearch agentsagent-skill

Review notes

Financial research output is not financial advice; require human review before any live investment decision · The skill references another skill `$img-gen-prompts` for real-reference requests, but its availability and interface are not documented within this skill. This creates a dependency that may not be present in all environments.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
71

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
67

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
81

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

224 GitHub stars

Repo activity

224 stars, 30 forks

Maintenance

Pushed today

License

MIT

Install

npx skills add NanmiCoder/open-image-prompts --skill img-gen-taste

Install safety

standard package or runtime install path

Permission surface

no high-risk permission surface in public metadata

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • The skill references another skill `$img-gen-prompts` for real-reference requests, but its availability and interface are not documented within this skill. This creates a dependency that may not be present in all environments.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Stars/forks activity: 224 stars, 30 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Search sources

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add NanmiCoder/open-image-prompts --skill img-gen-taste
Policy
review
Human review
yes

Trust and risk

Trust
67/100
Audit
81/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add NanmiCoder/open-image-prompts --skill img-gen-taste

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • The skill references another skill `$img-gen-prompts` for real-reference requests, but its availability and interface are not documented within this skill. This creates a dependency that may not be present in all environments.
  • No OpenAgentSkill engagement data yet
  • Financial research output is not financial advice; require human review before any live investment decision

Agent safety v2

65/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Financial research output is not financial advice; require human review before any live investment decision

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install nanmicoder-img-gen-taste

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use img-gen-taste in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20img-gen-taste%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/nanmicoder-img-gen-taste/install
Install command: npx skills add NanmiCoder/open-image-prompts --skill img-gen-taste
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use img-gen-taste for this task. Review https://www.openagentskill.com/api/skills/nanmicoder-img-gen-taste/install, then install with: npx skills add NanmiCoder/open-image-prompts --skill img-gen-taste

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

70/100

Research agents

Platforms

Claude Code

Audit report

Needs review · 81/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

70
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Research agents

Trust label

Prototype first

Install path

Command ready

Use when

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 71/100 quality profile

review first

  • The skill references another skill `$img-gen-prompts` for real-reference requests, but its availability and interface are not documented within this skill. This creates a dependency that may not be present in all environments.
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

67
OpenAgentSkill Trust Score

GitHub adoption

INFO

224 GitHub stars

Stars/forks activity

CHECK

224 stars, 30 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • The skill references another skill `$img-gen-prompts` for real-reference requests, but its availability and interface are not documented within this skill. This creates a dependency that may not be present in all environments.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Stars/forks activity: 224 stars, 30 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

71
GitHub stars
224
Freshness
Today
Install ready
Yes
License
MIT
Review before install: The skill references another skill `$img-gen-prompts` for real-reference requests, but its availability and interface are not documented within this skill. This creates a dependency that may not be present in all environments.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: img-gen-taste description: Develop art direction for image generation with curated style cards distilled from Open Image Prompts. Use when choosing or comparing visual directions, improving an existing generation prompt, or translating a subject, use case, or supplied image into a compact creative spec. Use img-gen-prompts for real archive examples, exact source prompts, or gallery browsing. ---

# Img Gen Taste

Act as the art-direction layer before generation. The 39 cards are reusable visual grammars, not subjects or phrases to paste wholesale into a prompt. Load only the reference needed for the request.

## Route the request

Identify the literal subject, intended use, mood, hard constraints, and aspect ratio. Ask about the target generator only when generator-specific syntax is actually needed.

| Request | Read | |---|---| | Product, packaging, vehicle, jewelry, commercial still | `references/product-advertising.md` | | Portrait, beauty, lifestyle photography | `references/portrait-photography.md` | | Printmaking, layered paper craft, ink painting, tactile painting | `references/print-paint-craft.md` | | Food and drink | `references/food-drink.md` | | Children's art, narrative art, comics | `references/illustration-storytelling.md` | | Poster, cover, typography-led composition | `references/poster-cover.md` | | Architecture or interior | `references/architecture-interior.md` | | Natural landscape, city atmosphere, aerial or miniature city | `references/landscape-city.md` | | Fantasy, science fiction, game concept | `references/sci-fi-fantasy.md` | | Abstract, 3D, graphic or web-hero visual | `references/graphic-abstract.md` |

Read at most two references for a genuinely cross-domain request. If no card fits, compose from first principles and say that no card was used. Route by the requested visual grammar: a tattoo, car, or bottle is a subject, not a style.

Every card carries an explicit id bullet, written as ``- `id`: `card-id` ``. Take `style_card_id` from that bullet only — some files use the id as the section heading and others use a prose title, so a heading is not a reliable id.

## Work in two phases

1. **Explore when direction is unclear.** Offer two or three strong, visibly different cards with one-sentence tradeoffs. Do not force a weak third option. Wait for the user's choice before writing a long prompt. 2. **Commit when direction is clear or chosen.** Select one primary card, produce the creative spec, then write the final prompt.

User constraints always override card defaults, including aspect ratio, text, people, product geometry, brand elements, and forbidden content. A card may shape composition, material, light, palette, and mood; it must not silently add story content, locations, props, or decorative metaphors. Treat `Avoid` as hard guidance. Offer `experimental-corpus-reviewed` cards only as disclosed alternatives alongside a non-experimental direction.

## Return the hand-off contract

Use this exact key and field structure so `$img-gen-prompts` can consume the result without reinterpretation:

```yaml creative_spec: style_card_id: <one card id or null> subject: <literal user subject> use: <deliverable> composition: <framing and hierarchy> material_texture: <relevant physical cues> lighting: <motivated source and contrast> palette: <restrained color relationship> mood: <one or two precise qualities> invariants: [<must keep>] avoid: [<failure modes>] aspect_ratio: <ratio or unspecified> ```

After the spec, provide a copyable English prompt and Simplified Chinese for a Chinese-speaking user. Keep required in-image text quoted and exact. Do not add technical-looking details that the direction does not require.

## Hand off real-reference requests

When the user asks to see examples, compare images, inspect original prompts, find similar archive records, or browse a gallery, invoke `$img-gen-prompts` with the original request and `creative_spec`. Preserve source prompts exactly; write improvements as separate derived prompts. Do not send a mixed bundle of retrieved images to a generator automatically—use only coherent references the user selected or that provide uniquely relevant visual evidence.

Treat `corpus-reviewed / generation-pending` as reviewed archive evidence, not proof of a measured generation-quality improvement.

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 22, 2026
Published
Aug 22, 2026

Decision snapshot

Fallback candidate

70
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

81
Needs review
Security
83/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for img-gen-taste, ready for a manual X post.

Curator note
img-gen-taste: Develop art direction for image generation with curated style cards distilled from Open Image...

224 stars

https://www.openagentskill.com/skills/nanmicoder-img-gen-taste?ref=x
Open X draft
Optional reply with install command
Listing + install path for img-gen-taste:
https://www.openagentskill.com/skills/nanmicoder-img-gen-taste?ref=x

Install: npx skills add NanmiCoder/open-image-prompts --skill img-gen-taste

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
NanmiCoder
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to NanmiCoder but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/nanmicoder-img-gen-taste?metric=listed&label=Listed)](https://www.openagentskill.com/skills/nanmicoder-img-gen-taste)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/nanmicoder-img-gen-taste?metric=trust&label=Trust)](https://www.openagentskill.com/skills/nanmicoder-img-gen-taste)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/nanmicoder-img-gen-taste?metric=audit&label=Audit)](https://www.openagentskill.com/skills/nanmicoder-img-gen-taste/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/nanmicoder-img-gen-taste?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/nanmicoder-img-gen-taste)

Author

N

NanmiCoder

@nanmicoder

Platform fit

Health signals

GitHub stars
224
Quality score
40/100
Last GitHub push
Aug 22, 2026
Framework hints
Unknown
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

67
  • GitHub adoption224 GitHub starsINFO
  • Stars/forks activity224 stars, 30 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS