Platform compatibility pilot

OpenClaw Skills

A pilot compatibility view for OpenClaw that only promotes Skills with explicit or reproducible evidence.

Page stage
Pilot
Evidence gate
Explicit / tested
Index policy
Hold until ready

Matching candidates

459

Current snapshot

Quality ready

459

Computed signal ≥ 75

Evidence layers

4

Source to editorial

Refresh cadence

24h

Repository signals

Qualified matches

Skills for OpenClaw Skills

The list prioritizes source diversity, freshness, and documentation depth. Card scores are computed signals—not test certifications.

EvidenceSourceComputedTestedEditorial
Computed 98144

jaccen/Awesome-Gaussian-Skills

3dgs-mcp-renderer

MCP protocol integration with 3DGS rendering pipeline: Agent-controlled Three.js/WebGPU rendering, voice-driven scene reconstruction, real-time parameter manipulation, light tracing backend. Use when: MCP rendering, agent-controlled 3DGS, voice-driven reconstruction, real-time 3DGS editing, Three.js 3DGS, WebGPU Gaussian splatting, interactive rendering control, speech-to-3D, light tracing, HiGS accelerated rendering.

Computed 94144

jaccen/Awesome-Gaussian-Skills

3dgs-spatial-agent

3DGS/CAD/Mesh domain-specific spatial intelligence agent: scene-level reasoning, CAD-in-the-loop parametric extraction, multi-modal 3D interaction, geometry-opacity decoupling, reflective material handling. Use when: 3D scene understanding, object part reasoning, CAD extraction from 3DGS, parametric model from Gaussian splats, interactive 3D editing, spatial reasoning over reconstructed scenes, articulation discovery, material inference, geometry opacity decoupling, reflective transparent object

Computed 95144

jaccen/Awesome-Gaussian-Skills

3dgs-training-debugger

Use it for design and operations tasks; the detail page covers purpose, installation, and practical steps.

Computed 92144

jaccen/Awesome-Gaussian-Skills

3dgs-visualizer

Use it for engineering and design tasks; the detail page covers purpose, installation, and practical steps.

Computed 9689

aAAaqwq/AGI-Super-Team

ab-test-setup

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.

Computed 9624,921

alirezarezvani/claude-skills

ab-test-setup

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.

Computed 901,118

vellum-ai/vellum-assistant

acp

Set up, authenticate, and run external coding agents (Claude Code, Codex) via the Agent Client Protocol

Computed 9589

aAAaqwq/AGI-Super-Team

activecampaign-automation

Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.

Computed 983,343

davepoon/buildwithclaude

activecampaign-automation

Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.

Computed 9030,615

nanocoai/nanoclaw

add-github

Add GitHub channel integration via Chat SDK. PR and issue comment threads as conversations.

Computed 9724,921

alirezarezvani/claude-skills

adversarial-reviewer

Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.

Computed 96768

indranilbanerjee/digital-marketing-pro

aeo-audit

Audit how a brand appears across the 6 canonical AI answer surfaces — ChatGPT, Perplexity, Google AI Mode, AI Overviews, Gemini, Copilot — probing 10-25 queries into a numbered output bundle with per-platform visibility scorecards, citation-accuracy checks, a competitor matrix, content gaps, and an optimization playbook behind a four-gate quality scorecard. Triggers on "/digital-marketing-pro:aeo-audit", "does ChatGPT know about our brand", "check our AI search visibility", "how does Perplexity

Decision path

Move from discovery to installation in four checks

01

Confirm the job

Define the work before choosing the most popular Skill.

02

Compare evidence

Separate source claims, computed signals, tests, and editorial judgment.

03

Review permissions

Review network, script, file, and outbound-data actions.

04

Test narrowly

Pin the source and run a reversible test in isolation.