A marketplace of unrelated agent skills for Claude Code, Codex, and other compatible agents.
| Skill | One-liner |
|---|---|
app-reviews |
Mobile app review analysis — pulls Google Play / Apple App Store reviews into local SQLite, filters by rule-based heuristics, emits the highest-signal subset as JSON for direct LLM analysis. |
qly |
Douyin e-commerce competitive monitoring — drives a logged-in qlydata.com browser session to harvest products by keyword, score relevance with a local Chinese embedding model, and trace the influencers selling each kept product. |
/plugin marketplace add WilliamPenrose/myskills
/plugin install <skill>@myskills
Replace <skill> with app-reviews or qly. See the per-skill sections below for prerequisites.
npx skills add WilliamPenrose/myskills -a codex # OpenAI Codex
npx skills add WilliamPenrose/myskills -a cursor # Cursor
npx skills add WilliamPenrose/myskills -a windsurf # Windsurf
npx skills add WilliamPenrose/myskills -a opencode # OpenCode
npx skills add WilliamPenrose/myskills -a openclaw # OpenClaw
npx skills add WilliamPenrose/myskills -a trae # Trae
Full list of supported -a values
adal cortex gemini-cli kode qwen-code
aider-desk crush github-copilot mcpjam replit
amp deepagents goose mistral-vibe roo
antigravity devin iflow-cli mux rovodev
augment dexto junie neovate tabnine-cli
bob droid kilo openhands trae-cn
cline firebender kimi-cli pi universal
codearts-agent forgecode kiro-cli pochi warp
codebuddy qoder zencoder
codemaker
codestudio
command-code
continue
Source of truth: vercel-labs/skills supported agents table.
Fetches Google Play and Apple App Store reviews into a local SQLite store, runs rule-based heuristic filters (length, language, sentiment cues, etc.), and emits the highest-signal subset as JSON for an LLM to analyze. Typical use: surfacing what users complain about in the last N days of reviews for a specific app.
Install:
/plugin install app-reviews@myskills
Prerequisites:
npm installinside the skill directory (one-time, pulls scrapers and the SQLite helper)
Full docs: plugins/app-reviews/skills/app-reviews/SKILL.md
Drives a logged-in qlydata.com browser session to (a) pull product lists for each monitored keyword, (b) auto-score product relevance with a local Chinese embedding model and surface borderline cases for human review, (c) for each kept product, look up which influencer accounts livestream-sold it. Typical use: weekly competitive monitoring of Douyin e-commerce for a defined keyword set.
Install:
/plugin install qly@myskills
Prerequisites:
npm installinside the skill directory. Firstrelevance scorerun downloads the BGE Chinese embedding model (~400 MB) into a local cache.- A site-use chrome instance with a qlydata.com account login. The skill walks the user through this on first run (account credentials are entered in the browser window; cookies persist in the chrome profile).
- A keyword list xlsx or csv maintained by the user, with
key_wordandis_trackcolumns.
First-run usage is guided — invoking the skill with no existing config triggers an onboarding dialogue that asks for the keyword file, filter ranges, and influencer thresholds, then walks the pipeline end to end.
Full docs: plugins/qly/skills/qly/SKILL.md
npx skills update <skill>