Star0

Compose Ai Tools

REVIEW · 66
Community indexed

Helping the Agents Compose the Things

Downloads0
Stars93
Version1.0.0
Quality78/100 · Strong
Trust66/100 · Sandbox only
Audit82/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + OpenAI Agents + Cursor

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

Install

Ready

npx skills add yschimke/compose-ai-tools

Maintenance

fresh

Pushed today

Risk

Safe to try

Quality score needs review

GitHub quality

93

78/100 quality · 74/100 trust

Coverage tags

CodingCoding agentsdevelopmentcomposepreview

Review notes

Quality score needs review · GitHub adoption: 93 GitHub stars

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
78

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
66

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

Audit

Safe to try
82

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

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

KotlinCodexClaude CodeCursorOpenAgentSkill CLI

Stars

93 GitHub stars

Repo activity

93 stars, 3 forks

Maintenance

Pushed today

License

Apache-2.0

Install

npx skills add yschimke/compose-ai-tools

Install safety

standard package or runtime install path

Permission surface

shell or command execution, network or browser access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Quality score needs review
  • GitHub adoption: 93 GitHub stars
  • Stars/forks activity: 93 stars, 3 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

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect source files

Suited agents

KotlinCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add yschimke/compose-ai-tools
Policy
review
Human review
yes

Trust and risk

Trust
66/100
Audit
82/100
Risk level
Safe to try

Outcome loop

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

Install command

npx skills add yschimke/compose-ai-tools
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Shell or command execution
  • Quality score needs review

Alternative

Graphify

79.1K stars

npx skills add Graphify-Labs/graphify

Alternative

Gemini CLI

105.8K stars

npx skills add google-gemini/gemini-cli

Alternative

System Prompts And Models Of AI Tools

141.2K stars

npx skills add x1xhlol/system-prompts-and-models-of-ai-tools

Alternative

Caveman

86.0K stars

npx skills add JuliusBrussee/caveman

Agent safety v2

58/100 · 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

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

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

  • High-risk permission hints: Shell or command execution
  • Quality score needs review

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add yschimke/compose-ai-tools

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

Resolve JSON

/api/agent/resolve?task=Use%20Compose%20Ai%20Tools%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Compose%20Ai%20Tools%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/yschimke-compose-ai-tools/install

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 Compose Ai Tools in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Compose%20Ai%20Tools%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yschimke-compose-ai-tools/install
Install command: npx skills add yschimke/compose-ai-tools
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

Install handoff

/api/skills/yschimke-compose-ai-tools/install

LLM text format

/api/skills/yschimke-compose-ai-tools/install?format=text

Find alternatives

/api/skills/search?q=Compose%20Ai%20Tools&limit=3

Agent prompt

Use Compose Ai Tools for this task. Review https://www.openagentskill.com/api/skills/yschimke-compose-ai-tools/install, then install with: npx skills add yschimke/compose-ai-tools

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

Manifest

/api/registry/manifest/yschimke-compose-ai-tools

LLM text

/api/registry/manifest/yschimke-compose-ai-tools?format=text

Install alias

/api/registry/install/yschimke-compose-ai-tools

Recommend

/api/registry/recommend?task=Use%20Compose%20Ai%20Tools%20in%20an%20agent%20workflow&limit=3

Agent fit

77/100

Coding agents

Use-case tags

Coding agentsGitHub automationRAG and knowledge

Platforms

Kotlin, Claude Code, OpenAI Agents, Cursor

Audit report

Safe to try · 82/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Companion skill for Coding agents

Shortlist this skill and compare it with close alternatives before production adoption.

77
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

Coding agents

Trust label

Strong shortlist

Install path

Command ready

Use when

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

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 78/100 quality profile

Review first

  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Coding 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.

66
Trust score

GitHub adoption

CHECK

93 GitHub stars

Stars/forks activity

CHECK

93 stars, 3 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

Apache-2.0

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

  • Quality score needs review
  • GitHub adoption: 93 GitHub stars
  • Stars/forks activity: 93 stars, 3 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.

78
GitHub stars
93
Freshness
Today
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Stack fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Ingest, retrieve, and cite

RAG knowledge base

A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Operate and verify web apps

Browser QA agent

A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Graphify

A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.

Adopt
Ready100
Quality100
Stars79.1K

Gemini CLI

Bring a coding agent directly into the terminal

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Quality100
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System Prompts And Models Of AI Tools

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models

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Quality100
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Overview

# compose-ai-tools

**See your Compose UI without opening Android Studio.**

`compose-ai-tools` renders your `@Preview` composables to PNG from the command line — so your AI coding agent can actually *look* at the screen it just changed, and so can you. Works with Jetpack Compose (Android, via Robolectric) and Compose Multiplatform Desktop (via `ImageComposeScene`).

That's the whole idea. Everything else on this page is optional.

**[📖 Documentation](https://yschimke.github.io/compose-ai-tools/)** · [Install](https://yschimke.github.io/compose-ai-tools/install/) · [Reference](https://yschimke.github.io/compose-ai-tools/reference/)

## Get started

Pick the one that fits you. Each is a single step.

### 🤖 With an AI coding agent

Run the one-line installer once. It drops the `compose-preview` CLI **and** the agent skill into place (Claude Code, Codex, Gemini):

```sh curl -fsSL https://raw.githubusercontent.com/yschimke/skills/main/scripts/install.sh | bash ```

Then just ask your agent to preview a composable. The [`compose-preview` skill](https://github.com/yschimke/skills/tree/main/skills/compose-preview) is the playbook — it tells the agent how to render, iterate, and check its own work. You don't have to learn the commands; the agent reads the skill. (If your agent can fetch URLs but not run the installer, point it straight at the [SKILL.md](https://github.com/yschimke/skills/blob/main/skills/compose-preview/SKILL.md) — it bootstraps the CLI itself.)

### 🧩 In VS Code (or Cursor / Windsurf / VSCodium)

Open the Extensions view (⇧⌘X / Ctrl+Shift+X), search **Compose Preview**, click *Install*. It renders previews inline and needs no project changes. ([Marketplace](https://marketplace.visualstudio.com/items?itemName=yuri-schimke.compose-preview) · [Open VSX](https://open-vsx.org/extension/yuri-schimke/compose-preview))

### ⌨️ From the command line

Install the CLI (same one-liner as above), then point it at any Compose project — **no build edits required**:

Platform Compatibility

kotlinFULL

Technical Details

Version
1.0.0
License
Apache-2.0
Last Updated
7/7/2026
Published
7/5/2026

Frameworks & Tools

Kotlin

Decision snapshot

Companion skill

77
Ready
Shortlist
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

82
Safe to try
Security
81/100
Maintenance
100/100
Install
92/100
Open full auditOpen 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.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Compose Ai Tools, ready for a manual X post.

Curator note
Most coding agents don't fail from lack of model power. They fail when repo context disappears.

Compose Ai Tools gives coding agents a repeatable way to plan, patch, review, or ship.

93 stars

https://www.openagentskill.com/skills/yschimke-compose-ai-tools?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Compose Ai Tools:
https://www.openagentskill.com/skills/yschimke-compose-ai-tools?ref=x

Install: npx skills add yschimke/compose-ai-tools
Open reply draft

Listing source

Community indexed

Claimable

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

Creator
yschimke
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 community indexed listing is attributed to yschimke 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.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/yschimke-compose-ai-tools)](https://www.openagentskill.com/skills/yschimke-compose-ai-tools)
Preview badgeAudit badge

Author

Y

yschimke

@yschimke

Tags

composepreviewandroidkotlinagent-tool

Platform Fit

Claude CodeOpenAI AgentsCursor

Health Signals

GitHub stars
93
Quality score
49/100
Last GitHub push
Jul 6, 2026
Framework hints
1
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

66
  • GitHub adoption93 GitHub starsCHECK
  • Stars/forks activity93 stars, 3 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, network or browser surfaceINFO

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