Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Search, install, and create OpenClaw skills with intelligent matching across known, local, and GitHub repositories.
Search, install, and create OpenClaw skills with intelligent matching across known, local, and GitHub repositories.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Search, install, and create OpenClaw skills with intelligent matching.
Name: skillstore Type: OpenClaw Skill Purpose: Search existing skills, install from GitHub, or create new ones
No setup required. Works out of the box.
# Search for a skill (applies 30% threshold) skillstore <query> # Examples: skillstore home assistant skillstore weather skillstore smart home skillstore email gmail skillstore github
# List installed skills skillstore list # Show all known skills (20 built-in) skillstore known
# Create new skill with templates skillstore create <name> skillstore new <name> # Examples: skillstore create my-awesome-skill skillstore new weather-widget
Tokenize - Split query into keywords Calculate - Jaccard similarity + keyword boost Filter - Remove results below 30% threshold Rank - Sort by relevance score Display - Show with visual score bar
Score >= 50% = Strong match (green bar) Score >= 30% = Weak match (yellow bar) Score < 30% = Not shown (filtered)
Known Skills - Built-in database of 20 skills Local Skills - Skills in ~/.openclaw/workspace/skills/ GitHub - Search openclaw repositories
1. User runs: skillstore home assistant 2. System searches all 3 sources 3. System filters by threshold 4. Results shown with scores: 1. [KNOWN] homeassistant โโโโโโโโโโ 85% Control smart home devices... 2. [LOCAL] homeassistant โโโโโโโโโโ 78% 3. [GIT] openclaw-homeassistant โโโโโโโโโโ 62% 5. User chooses: - Enter number โ Install from GitHub - n โ Create new skill - q โ Quit
Built-in skills (searchable): SkillDescriptionhomeassistantSmart home control (HA API)gogGoogle Workspace (Gmail, Calendar, Drive)weatherWeather forecastsgithubGitHub CLI integrationhimalayaEmail via IMAP/SMTPobsidianObsidian vault integrationsonoscliSonos speaker controlblucliBluOS speaker controleightctlEight Sleep pod controlordercliFood delivery ordersblogwatcherRSS feed monitoringgifgrepGIF search/downloadvideo-framesVideo frame extractionyoutube-summarizerYouTube transcript summaryga4Google Analytics 4gscGoogle Search ConsolewacliWhatsApp messagingbrowserBrowser automationhealthcheckSecurity hardening
No results above threshold: Offer to create new skill GitHub search fails: Fall back to local/known Install fails: Show error with reason
homeassistant openclaw-migrate skill-templates (legacy, use skillstore)
skillstore/ โโโ SKILL.md # This file โโโ README.md # User docs โโโ main.js # CLI with intelligent search โโโ config.json # Install history
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.