{"$schema": "https://agentskills.org/v1/schema.json", "name": "autopublishai-autonomous-skills", "version": "1.0.0", "description": "Autonomous Directory Syndication, Programmatic SEO & GEO Network on Cloudflare Python Workers.", "publisher": {"name": "AutoPublish AI", "canonical_base": "https://autopublishai.com", "domain": "autopublishai.com"}, "skills": [{"id": "autopublishai-search", "name": "AutoPublish AI Instant Search API", "description": "Edge query search across 5 core verticals with sub-5ms response.", "endpoint": "https://autopublishai.com/api/search/", "method": "GET", "documentation": "https://autopublishai.com/llms.txt"}, {"id": "autopublishai-metrics", "name": "AutoPublish AI Telemetry & Metrics API", "description": "Aggregated indexing, tier volume, and quality scoring telemetry across the publishing network.", "endpoint": "https://autopublishai.com/api/metrics/", "method": "GET", "documentation": "https://autopublishai.com/llms-full.txt"}, {"id": "autopublishai-subscribe", "name": "AutoPublish AI Editorial Subscription API", "description": "Reactive newsletter subscription endpoint for verified email dispatch registration.", "endpoint": "https://autopublishai.com/api/subscribe/", "method": "POST", "documentation": "https://autopublishai.com/llms.txt"}, {"id": "autopublishai-llm-inference-cost-calculator", "name": "LLM Reasoning & Inference Cost Calculator", "description": "Calculate monthly API spend, chain-of-thought token inflation ratios, and cost per 1,000 requests for DeepSeek-R1 and OpenAI o3-mini.", "endpoint": "https://autopublishai.com/calculators/llm-inference-cost-calculator/", "method": "POST", "documentation": "https://autopublishai.com/calculators/llm-inference-cost-calculator/"}, {"id": "autopublishai-kv-cache-vram-calculator", "name": "Transformer KV Cache VRAM Allocation Modeler", "description": "Calculate Key-Value cache VRAM allocation across 128k context lengths, FP8/BF16 precision, and GPU cluster capacity.", "endpoint": "https://autopublishai.com/calculators/kv-cache-vram-calculator/", "method": "POST", "documentation": "https://autopublishai.com/calculators/kv-cache-vram-calculator/"}, {"id": "autopublishai-b2b-saas-nrr-calculator", "name": "B2B SaaS Net Revenue Retention (NRR) & Expansion Modeler", "description": "Calculate Net Revenue Retention (NRR), Gross Revenue Retention (GRR), and expansion ARR dynamics across software customer cohorts.", "endpoint": "https://autopublishai.com/calculators/b2b-saas-nrr-calculator/", "method": "POST", "documentation": "https://autopublishai.com/calculators/b2b-saas-nrr-calculator/"}, {"id": "autopublishai-cloudflare-r2-egress-savings-calculator", "name": "Cloudflare R2 vs AWS S3 Storage & Egress Cost Comparison", "description": "Calculate cloud storage savings by eliminating AWS S3 data transfer egress fees ($0.09/GB) using Cloudflare R2 object storage.", "endpoint": "https://autopublishai.com/calculators/cloudflare-r2-egress-savings-calculator/", "method": "POST", "documentation": "https://autopublishai.com/calculators/cloudflare-r2-egress-savings-calculator/"}, {"id": "autopublishai-edge-rate-limit-sizer", "name": "Edge Rate Limiting & Durable Object Sizing Calculator", "description": "Size memory footprint, peak requests per second (RPS), and Cloudflare Durable Object actor sharding for token-bucket rate limiters.", "endpoint": "https://autopublishai.com/calculators/edge-rate-limit-sizer/", "method": "POST", "documentation": "https://autopublishai.com/calculators/edge-rate-limit-sizer/"}, {"id": "autopublishai-speculative-decoding-speedup-calculator", "name": "LLM Speculative Decoding Speedup & Throughput Calculator", "description": "Calculate wall-clock speculative decoding speedup, token acceptance probabilities, and tokens per second throughput based on draft vs target model latency.", "endpoint": "https://autopublishai.com/calculators/speculative-decoding-speedup-calculator/", "method": "POST", "documentation": "https://autopublishai.com/calculators/speculative-decoding-speedup-calculator/"}, {"id": "autopublishai-semantic-cache-hit-ratio-calculator", "name": "LLM Semantic Cache Hit Rate & Cost Savings Calculator", "description": "Calculate semantic vector cache hit rates, monthly token cost reductions, and P99 latency savings across repetitive intent query clusters.", "endpoint": "https://autopublishai.com/calculators/semantic-cache-hit-ratio-calculator/", "method": "POST", "documentation": "https://autopublishai.com/calculators/semantic-cache-hit-ratio-calculator/"}, {"id": "autopublishai-embedding-vector-storage-sizer", "name": "Embedding Vector Storage & HNSW RAM Sizing Calculator", "description": "Calculate raw vector memory footprint, HNSW graph index overhead, total RAM sizing, and NVMe disk capacity for dense vector search engines.", "endpoint": "https://autopublishai.com/calculators/embedding-vector-storage-sizer/", "method": "POST", "documentation": "https://autopublishai.com/calculators/embedding-vector-storage-sizer/"}, {"id": "autopublishai-moe-inference-vram-bandwidth-sizer", "name": "Sparse Mixture of Experts (MoE) VRAM & Bandwidth Sizer", "description": "Calculate total model weights VRAM, active parameters per token, and required GPU memory bandwidth for DeepSeek-V3 and Mixtral.", "endpoint": "https://autopublishai.com/calculators/moe-inference-vram-bandwidth-sizer/", "method": "POST", "documentation": "https://autopublishai.com/calculators/moe-inference-vram-bandwidth-sizer/"}, {"id": "autopublishai-kv-cache-compression-ratio-calculator", "name": "KV Cache Architecture & Latent Compression Sizer", "description": "Compare KV cache memory allocation between Multi-Head Attention (MHA), Grouped-Query Attention (GQA), and DeepSeek Multi-Head Latent Attention (MLA).", "endpoint": "https://autopublishai.com/calculators/kv-cache-compression-ratio-calculator/", "method": "POST", "documentation": "https://autopublishai.com/calculators/kv-cache-compression-ratio-calculator/"}]}