find-skills
Searches for OpenClaw skills across various sources. Helps users discover available skills, locate specific functionality, and identify new skills to install.
Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Searches for OpenClaw skills across various sources. Helps users discover available skills, locate specific functionality, and identify new skills to install.
Searches existing AEM Edge Delivery Services content for pages containing a requested block. Reports page URLs, occurrence counts, and block variants to help locate test content and examples.
Uses multiple reverse image search engines to locate image sources, identify visual subjects, and check for stock imagery or reposts. Also searches video keyframes for media verification, fake-profile investigations, and brand-infringement work.
Pairs source files and modules with tests through static analysis. Uses Roslyn for C#/.NET and tree-sitter for numerous other languages, without relying on runtime coverage measurements.
Uses a placement quiz to map a learner's AI/ML knowledge to the AI Engineering from Scratch curriculum. Identifies a starting point among 523 lessons across 20 phases.
Resolves dataset and table references across AWS lakehouse services. Supports catalog searches, matching table names, and reverse lookup of S3 paths to identify relevant assets.
Locates Google product skills through a remote index instead of preloading the full catalog. Covers Google Cloud, Ads, Analytics, Workspace, Android, Chrome, Firebase, Gemini, Maps, YouTube, Flutter, and other Google developer platforms.
Retrieves fine and ultrafine particulate pollution information using a region name or location hint. Uses AirKorea data, with the k-skill-proxy report endpoint as the default route.
Prepares JSONL datasets, configures adapters and hyperparameters, and supports Hugging Face PEFT and OpenAI fine-tuning. Covers instruction tuning, RLHF, DPO, quantization, and deployment of adapted models.
Compare fine-tuning with RAG and prompting, then select an appropriate base model and training approach. Covers supervised fine-tuning, preference optimization, reinforcement learning, and continued pretraining.
Saves a fingerprint scan as JSON and compares subsequent runs against it. Fails CI jobs when consistency scores fall below a threshold, helping track regressions in Chromium builds or scraping harnesses.
Explains failing fingerprint check IDs and attributes signals to launch configuration, page modifications, network paths, or machine images. Distinguishes failures inherent to headless or datacenter environments.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name