Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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geographic-clustering
Grid-based geographic clustering with O(n) performance, medoid finding for map markers, and multi-factor risk scoring from event density, sentiment, and recency.
dadbodgeoff/drift 770
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provenance-audit
AI generation provenance and audit trail tracking. Records decision factors, data lineage, reasoning chains, confidence scoring, and cost tracking for AI-generated content.
dadbodgeoff/drift 770
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cloud-storage
Cloud storage integration with signed URLs, visibility control, multi-tenant path conventions, and presigned uploads for direct client uploads.
dadbodgeoff/drift 770
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graceful-degradation
Build resilient systems that degrade gracefully under failure. Implement fallbacks, feature flags, and partial responses when dependencies fail.
dadbodgeoff/drift 770
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row-level-security
Implement PostgreSQL Row Level Security (RLS) for multi-tenant SaaS applications. Use when building apps where users should only see their own data, or when implementing organization-based data isolation.
dadbodgeoff/drift 770
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request-validation
Validate API requests with schemas, sanitization, and helpful error messages. Covers Zod, Joi, and Pydantic patterns.
dadbodgeoff/drift 770
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graceful-shutdown
Clean shutdown with in-flight job tracking, signal handlers, and buffer draining. Prevent data loss and corrupted state on process termination.
dadbodgeoff/drift 770
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environment-config
Centralized environment variable management with validation. Fail fast at startup if config is invalid. Supports multi-environment setups (dev/staging/prod) with type-safe access.
dadbodgeoff/drift 770
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error-handling
Implement consistent error handling with custom error classes, error boundaries, and structured error responses. Covers logging, monitoring, and user-friendly messages.
dadbodgeoff/drift 770
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idempotency
Implement idempotent API operations to safely handle retries and prevent duplicate processing. Use when building payment APIs, order systems, or any operation that must not be executed twice.
dadbodgeoff/drift 770
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batch-processing
Collect-then-batch pattern for database operations achieving 30-40% throughput improvement. Includes graceful fallback to sequential processing when batch operations fail.
dadbodgeoff/drift 770
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exception-taxonomy
Hierarchical exception system with HTTP status codes, machine-readable error codes, and structured responses for consistent API error handling across all endpoints.
dadbodgeoff/drift 770
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data-transformers
Centralized transformation logic for consistent data shaping across API routes. Includes aggregators, rankers, trend calculators, and data sanitizers.
dadbodgeoff/drift 770
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checkpoint-resume
Exactly-once processing semantics with distributed coordination for file-based data pipelines. Atomic file claiming, status tracking, and automatic retry with in-memory fallback.
dadbodgeoff/drift 770
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pwa-setup
Progressive Web App setup with manifest, mobile meta tags, safe area handling for notched devices, and install prompts for app-like browser experience.
dadbodgeoff/drift 770
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soft-delete
Implement soft delete pattern for data recovery and audit trails. Covers filtering, restoration, and permanent deletion workflows.
dadbodgeoff/drift 770
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metrics-collection
Prometheus-compatible metrics collection with counters, gauges, and histograms. Export metrics for dashboards and alerts with proper labeling.
dadbodgeoff/drift 770
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ai-coaching
Multi-turn conversational AI for intent extraction, clarification, and generation readiness detection. Guides users through articulating creative intent with structured parameter extraction.
dadbodgeoff/drift 770
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community-feed
Social feed with batch queries, cursor pagination, trending algorithms, and engagement tracking. Efficient database queries for infinite scroll feeds.
dadbodgeoff/drift 770
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mobile-components
Mobile-first UI components including bottom navigation, bottom sheets, pull-to-refresh, and swipe actions. Touch-optimized with proper gesture handling.
dadbodgeoff/drift 770
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wax-performance-audit
Benchmarking and performance auditing for the Wax repo. Use when running or interpreting Wax benchmarks, diagnosing CPU, memory, or I/O bottlenecks, or investigating Swift 6.2 concurrency issues such as Sendable, actor isolation, `@unchecked Sendable`, task-group fan-out, and data races.
christopherkarani/Wax 700
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wax
Comprehensive guidance for the Wax on-device memory/RAG framework. Use when integrating MemoryOrchestrator, VideoRAGOrchestrator, Wax/WaxSession, embedding providers, hybrid search, maintenance, or when evaluating Wax constraints like offline-only, single-file .wax persistence and deterministic retrieval.
christopherkarani/Wax 700
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deep-analysis
Performs focused, depth-first investigation of specific reverse engineering questions through iterative analysis and database improvement. Answers questions like "What does this function do?", "Does this use crypto?", "What's the C2 address?", "Fix types in this function". Makes incremental improvements (renaming, retyping, commenting) to aid understanding. Returns evidence-based answers with new investigation threads. Use after binary-triage for investigating specific suspicious areas or when user asks focused questions about binary behavior.
cyberkaida/reverse-engineering-assistant 691
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ctf-crypto
Solve CTF cryptography challenges by identifying, analyzing, and exploiting weak crypto implementations in binaries to extract keys or decrypt data. Use for custom ciphers, weak crypto, key extraction, or algorithm identification.
cyberkaida/reverse-engineering-assistant 691