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Skills in this repository
SkillsMP has collected 1,311 skills from oyi77/1ai-skills. Open a skill to review its source and details.
oyi77/1ai-skillsShowing 40 of 1,311 collected skills.
Referral program design and automation — incentive structures, tracking, viral loops, reward fulfillment. Use when building referral or affiliate programs. Use when working with referral program.
Structured data markup for rich results and AI search visibility — JSON-LD, FAQ, HowTo, Product schemas. Use when implementing structured data for SEO. Use when working with schema markup.
SEO analysis and optimization automation for websites. Use when conducting technical SEO audits, tracking keyword rankings, analyzing competitor SEO, monitoring backlink profiles, optimizing existing content, improving local SEO visibility, generating SEO…
Optimize content for search engines. Perform keyword research, analyze on-page SEO, track rankings, audit technical SEO, and improve organic visibility for sustainable traffic growth. Use when optimizeing content for search engines. perform keyword research,…
Shopee product management automation - listings, pricing, inventory, and order processing. Use when managing Shopee product listings, automating price adjustments based on competitors, syncing inventory across variants, processing orders with templates,…
Mark Zuckerberg's approach to building massive social platforms through network effects and rapid iteration. Use when working with social growth.
Distribute content across multiple social media platforms (X, Instagram, TikTok, LinkedIn, Facebook, YouTube). Upload images, videos, and text with platform-specific optimization. Use when working with social media upload.
Use when doing social media automation, content scheduling, analytics tracking, and campaign management.
Gary Vaynerchuk's content machine approach - producing high-volume, authentic content across all platforms. Use when working with viral marketing.
Generic MCP client implementation for connecting to any Model Context Protocol server with standardized tool access. Use when working with mcp client.
Discover and connect to MCP servers automatically. Browse available tools and register new server endpoints. Use when working with mcp discover.
Model Context Protocol client hub — connect AI agents to any MCP server for tool discovery, invocation, and ecosystem management. Use when working with MCP clients, discovering MCP servers, or building MCP-based toolchains.
Knowledge graph-based persistent memory for AI agents — entities, relations, and semantic retrieval. Use when working with memory knowledge graph.
Dynamic problem-solving through thought sequences — iterative reasoning, hypothesis testing, and solution refinement. Use when working with sequential thinking.
Universal internet scraper for AI agents. Read and search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, LinkedIn, V2EX, RSS, web pages. Zero API fees. Use when agents need real-time social media data, content research, or trend monitoring.
Index codebases into a persistent knowledge graph for structural code queries, call-chain tracing, and semantic search. Use when navigating unfamiliar repos, understanding architecture, or exploring large codebases.
MCP server for GitHub automation. Manage repos, issues, PRs, and workflows through the Model Context Protocol. Use when working with github mcp.
Linear Mcp. Use when working with linear mcp in mcp domain.
Resend Mcp. Use when working with resend mcp in mcp domain.
MCP server for Stripe payments. Process payments, manage subscriptions, and handle billing via standardized protocol. Use when working with stripe mcp.
MCP server for Supabase databases. Query tables, manage auth, and handle storage through standardized protocol. Use when working with supabase mcp.
Continuously monitors system performance identifies improvement opportunities and orchestrates find-skills and create-skills to autonomously evolve capabilities. The brain of the self-evolving system. Use when working with auto evolve.
Autonomous learning from execution data. Skills improve themselves by identifying patterns in successful vs failed executions without human intervention. Use when working with auto learner.
Use when the system identifies a skill gap and needs to autonomously generate a new skill to fill it. Works with find-skills to ensure no duplicates.
Raw data storage layer for 1ai-skills. Provides structured data persistence, query interface, and data pipeline support for skill operations. history. Use when working with data.
Collect, analyze, and route feedback from users and systems. Turn feedback into actionable improvement signals. Use when working with feedback collector.
Use when user says "install hooks", "setup hooks", "hooks setup", "configure hooks", "/hooks-setup". Installs and configures 1ai-skills auto-evolve hooks for Claude Code.
Identify patterns in skill execution, errors, and successes. Recognize when situations match previous patterns and apply learned solutions. Use when working with pattern recognition.
Track and analyze skill execution performance. Measure latency, success rates, accuracy, and resource usage for continuous improvement. Use when tracking and analyze skill execution performance. measure latency, success rates,.
Skills evaluate their own performance, capabilities, and limitations. Honest self-reflection drives improvement. Use when working with self assessment.
Centralized database for meta-skill operations. Stores performance metrics, feedback, patterns, and skill evolution history. Use when working with meta skill datastore.
Self-improving skill system that auto-extracts patterns from sessions into reusable skills with confidence scoring, skill versioning, import/export, and continuous improvement loops. Use. Use when working with skill evolution engine.
Master active listening through the HEAR model, reflective listening, and questioning techniques. Use when coaching, resolving conflicts, or building trust.
Design and analyze business models using the 9 building blocks of the Business Model Canvas. Use when launching, pivoting, or evaluating a business.
Lead organizational change using Kotter's 8-step model, ADKAR framework, and stakeholder analysis. Use when rolling out major initiatives or transformations.
Analyze competitors using Porter's Five Forces, positioning maps, and competitive response frameworks. Use when assessing market position or strategic threats.
Resolve interpersonal and team conflicts using mediation techniques, non-violent communication, and de-escalation. Use when tensions arise between individuals or groups.
Respond to crises using incident command structure, stakeholder communication, and recovery planning. Use during security breaches, PR disasters, or operational failures. Use when working with crisis management.
Use when critical thinking applied to money-making — diagnose starting position, evaluate opportunities by expected value, and execute proven income-generating strategies without asking permission.
Navigate cross-cultural communication using Hofstede's dimensions, high/low-context awareness, and async norms. Use when working with global teams or international stakeholders.