Loading...
Loading...
Found 9,580 Skills
Hunting skill for rce vulnerabilities. Built from 67 public bug bounty reports. Use when hunting rce on any target.
Run candidate product, brand, company, or benchmark names through an audition — authoritative domain-availability checks, collision research across SaaS/GitHub/packages/the target adjacent domain, a light trademark and ownability read, a ranked callback list, and an interactive casting report of finalists with optional draft branding. Use when the user is naming a product, app, company, feature, or benchmark; asks "is this name taken", "check these domains", "help me pick a name", "is X available", "name my product", "brand name research", "audition names"; or wants to compare and pressure-test a shortlist of candidate names before committing.
Helps users discover and install capabilities from the open agent skills ecosystem. Use when users ask "how do I do X" for specialized tasks, request "find a skill for X", want to extend agent capabilities, or need help with specific domains (testing, design, deployment, etc.).
Create and edit Obsidian Bases (.base files): Obsidian's native database layer for dynamic tables, card views, list views, filters, formulas, and summaries over vault notes. Triggers on: create a base, add a base file, obsidian bases, base view, filter notes, formula, database view, dynamic table, task tracker base, reading list base.
Autonomous iterative research loop. Takes a topic, runs web searches, fetches sources, synthesizes findings, and files everything into the wiki as structured pages. Based on Karpathy's autoresearch pattern: program.md configures objectives and constraints, the loop runs until depth is reached, output goes directly into the knowledge base. Triggers on: "/autoresearch", "autoresearch", "research [topic]", "deep dive into [topic]", "investigate [topic]", "find everything about [topic]", "research and file", "go research", "build a wiki on".
Assesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Aligned with OneWave AI's audit methodology.
Design sport-specific practice sessions. Drills by skill level and time, warm-up, skill work, scrimmage, cool-down.
Interactive debugging mode that generates hypotheses, instruments code with runtime logs, and iteratively fixes bugs with human-in-the-loop verification. Only for hard-to-diagnose bugs; in those cases, remind the user that debug-mode is available, and never proactively activate this skill.
. Use when writing tests, reviewing test coverage, or setting up testing.
Career goal mapping with skill gap analysis, actionable development plans, and milestone tracking. Use when planning career transitions, identifying skill gaps, setting professional development goals, or evaluating career options.
Build type-safe D1 databases with Drizzle ORM. Includes schema definition, migrations with Drizzle Kit, relations, and D1 batch API patterns. Prevents 18 errors including SQL BEGIN failures, cascade data loss, 100-parameter limits, and foreign key issues. Use when: defining D1 schemas, managing migrations, bulk inserts, or troubleshooting D1_ERROR, BEGIN TRANSACTION, foreign keys, "too many SQL variables".
Generate complete SEO meta tags for every page. Covers title patterns, meta descriptions, Open Graph, Twitter Cards, and JSON-LD structured data (LocalBusiness, Service, FAQ, BreadcrumbList). Use when: building pages, adding social sharing, implementing structured data, optimizing for search engines.