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Found 579 Skills
Comprehensive structural variant (SV) analysis skill for clinical genomics. Classifies SVs (deletions, duplications, inversions, translocations), assesses pathogenicity using ACMG-adapted criteria, evaluates gene disruption and dosage sensitivity, and provides clinical interpretation with evidence grading. Use when analyzing CNVs, large deletions/duplications, chromosomal rearrangements, or any structural variants requiring clinical interpretation.
Production-ready VCF processing, variant annotation, mutation analysis, and structural variant (SV/CNV) interpretation for bioinformatics questions. Parses VCF files (streaming, large files), classifies mutation types (missense, nonsense, synonymous, frameshift, splice, intronic, intergenic) and structural variants (deletions, duplications, inversions, translocations), applies VAF/depth/quality/consequence filters, annotates with ClinVar/dbSNP/gnomAD/CADD via ToolUniverse, interprets SV/CNV clinical significance using ClinGen dosage sensitivity scores, computes variant statistics, and generates reports. Solves questions like "What fraction of variants with VAF < 0.3 are missense?", "How many non-reference variants remain after filtering intronic/intergenic?", "What is the pathogenicity of this deletion affecting BRCA1?", or "Which dosage-sensitive genes overlap this CNV?". Use when processing VCF files, annotating variants, filtering by VAF/depth/consequence, classifying mutations, interpreting structural variants, assessing CNV pathogenicity, comparing cohorts, or answering variant analysis questions.
Use for fastboot operations, flashing partitions, bootloader unlocking, recovery mode, or partition management. Triggers on "fastboot", "flash boot.img", "unlock bootloader", "recovery mode", "TWRP", "Magisk", "partition", "sideload", "A/B slots". WARNING - These operations can brick devices if done incorrectly.
Google Calendar via Composio API. Use when: (1) Creating calendar events with correct durations (2) Finding/searching events (3) Updating or deleting events (4) Finding free time slots CRITICAL: CREATE and UPDATE use DIFFERENT duration parameters. This skill prevents the common 30-minute default bug.
Use this skill when designing data warehouses, building star or snowflake schemas, implementing slowly changing dimensions (SCDs), writing analytical SQL for Snowflake or BigQuery, creating fact and dimension tables, or planning ETL/ELT pipelines for analytics. Triggers on dimensional modeling, surrogate keys, conformed dimensions, warehouse architecture, data vault, partitioning strategies, materialized views, and any task requiring OLAP schema design or warehouse query optimization.
Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script performance deep dive (first vs third-party attribution), font optimization, and resource hints validation. Includes decision trees that automatically analyze TTFB sub-parts when slow, detect script loading anti-patterns (async/defer/preload conflicts), identify render-blocking resources, and validate resource hints usage. Features workflows for complete loading audit (6 phases), backend performance investigation, and priority optimization. Cross-skill integration with Core Web Vitals (LCP resource loading), Interaction (script execution blocking), and Media (lazy loading strategy). Use when the user asks about TTFB, FCP, render-blocking, slow loading, font performance, script optimization, or resource hints. Compatible with Chrome DevTools MCP.
Transform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.
Alibaba Cloud AnalyticDB for MySQL O&M diagnosis assistant. It supports cluster information query, performance monitoring, slow query diagnosis, running SQL analysis, table-level optimization suggestions, etc. Triggers: "ADB MySQL", "AnalyticDB", "cluster list", "slow query", "BadSQL", "data skew", "idle index", "SQL Pattern", "space diagnosis", "table diagnosis", "performance monitoring".
Produce a single-file slide deck in the Atelier Zero visual language (warm-paper background, italic-serif emphasis spans, coral terminating dots, surreal collage plates) — Open Design's brand deck recipe. The deck uses **horizontal magazine-style swipe pagination** (←/→, wheel, swipe), a per-slide chrome strip with brand mark and slide counter, an ESC overview grid, a coral progress bar, and inherits the canonical stylesheet + 16-slot image library from the sister `open-design-landing` skill.
Diagnoses and resolves Amazon EFS issues including mount failures, NFS timeouts, permission errors, throughput problems, and burst credit exhaustion. Use when the user has an EFS file system that is not mounting, returning errors, performing slowly, or showing access denied.
Edit existing videos with AI using each::sense. Apply effects, color grading, speed changes, trimming, transitions, style transfer, and visual enhancements. Transform raw footage into polished content. Use for: color grading, speed ramping, style transfer, video enhancement, social media edits, content post-production. Triggers: edit video, video editing, color grade, speed change, video effects, trim video, video filter, slow motion, timelapse, video style, video enhance, post production
Opinionated guidance for constructing and interpreting Honeycomb queries on trace and event datasets — operation selection (percentiles not AVG, HEATMAP for distributions), relational field patterns (root., parent., any., none.), calculated fields, query math, and result interpretation (P99/P50 ratios, heatmap bands, TOTAL/OTHER rows, raw JSON via query_result_json). Use this skill when the user wants to query spans, traces, or log/event data in Honeycomb — requests like "show me latency", "error rate", "find slow requests", "find outliers", "interpret results", "relational fields", "calculated fields", or "download raw results". This skill covers all dataset types except metrics datasets (dataset_type=metrics) — for those, use metrics-queries instead.