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awesome-ai-agent-skills
awesome-ai-agent-skills contains 91 collected skills from seb1n, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Identify at-risk customer accounts by analyzing usage patterns, engagement signals, and support history to generate churn risk scores and intervention recommendations.
Analyze NPS, CSAT, and qualitative customer feedback to extract themes, identify trends, and generate actionable insight reports.
Write clear, searchable help center articles and FAQ entries based on support data, product documentation, and common customer questions.
Design structured customer onboarding workflows with phased checklists, email templates, success milestones, and ownership assignments.
Classify, prioritize, and route incoming support tickets by extracting intent and entities, assigning severity, and generating initial responses.
Create and manage budgets with variance analysis and departmental allocation
Classify expenses by category, department, and tax deductibility from transaction data
Build financial projections, P&L statements, DCF models, and valuation analyses from assumptions and historical data
Generate balance sheets, cash flow statements, P&L reports, and executive financial summaries
Extract, validate, and categorize invoice data against purchase orders and GL codes
Generate compliance checklists for SOC2, HIPAA, PCI-DSS, and GDPR with gap analysis and remediation priorities.
Analyze contracts for risks, obligations, key clauses, and generate structured risk reports with severity ratings.
Analyze open-source license compatibility, obligations, and compliance risks across project dependencies.
Generate GDPR and CCPA-compliant privacy policies tailored to specific business models and data collection practices.
Draft Terms of Service documents for web applications, SaaS platforms, and digital marketplaces.
Build sales battlecards with feature comparisons, objection handling scripts, positioning statements, and win themes for competitive deal scenarios.
Enrich CRM records with firmographic and contact data, filling gaps in company and person profiles to improve segmentation, routing, and outreach quality.
Score and prioritize leads based on firmographic fit and behavioral engagement signals, producing ranked tiers for sales team focus.
Create tailored sales proposals and RFP responses that address prospect needs, articulate solution value, and include pricing, timelines, and social proof.
Design multi-touch outbound email sequences with personalized messaging, strategic timing cadences, and conversion-optimized copy for prospecting and re-engagement.
Set up and manage data labeling workflows using manual annotation tools, semi-automated pipelines, active learning, and programmatic weak supervision.
Optimize machine learning model hyperparameters using grid search, random search, Bayesian optimization, and Hyperband to maximize model performance within a compute budget.
Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms.
Train machine learning models end-to-end, covering data loading, preprocessing, architecture selection, training loops, validation, and checkpointing.
Design RESTful APIs with proper resource modeling, HTTP method semantics, status codes, pagination, versioning, and documentation.
Integrate with external APIs using REST clients, webhook consumers, SDK wrappers, and polling patterns with proper authentication, error handling, and retry logic.
Design GraphQL APIs with well-structured schemas, efficient resolvers, pagination, and performance patterns like DataLoader and federation.
Implement OAuth 2.0 authentication flows including authorization code with PKCE, client credentials, and device code for secure API integration.
Set up webhook receivers with signature verification, idempotent event processing, retry handling, and dead letter queues for reliable event-driven integrations.
Automatically generate clear, comprehensive documentation for codebases โ including API references, inline docstrings, README files, and usage guides.
Perform thorough code reviews on files or pull requests, checking for bugs, security vulnerabilities, performance issues, and style violations.
Systematically diagnose and fix software bugs by analyzing error messages, stack traces, logs, and runtime behavior across multiple languages.
Improve code quality and maintainability through systematic identification of code smells and application of proven refactoring patterns.
Generate, execute, and analyze tests for codebases, covering unit, integration, and end-to-end testing with coverage reporting.
Manage Git repositories and collaborative workflows โ branching strategies, commit hygiene, conflict resolution, pull requests, hooks, and .gitignore management.
Design structured, engaging chatbot conversations with robust intent handling, slot filling, disambiguation, error recovery, and graceful fallback strategies.
Draft professional, audience-aware emails for any purpose โ cold outreach, follow-ups, customer support, internal updates, and meeting requests โ with calibrated tone and clear calls to action.
Transcribe meeting audio with speaker diarization, generate structured summaries with action items, decisions, and follow-ups, and support multiple audio formats and languages.
Create polished, audience-tailored presentations from outlines or documents, with support for Marp, reveal.js, Google Slides, and PPTX output formats.
Generate professional reports โ sprint retrospectives, financial summaries, analytics dashboards, and incident postmortems โ from structured data with templates, charts, and multi-format output.