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Every x402, MPP, MCP, and skill listing we've indexed, normalized, and enriched.
PostgreSQL Slow Query Runbook
Diagnoses PostgreSQL slow queries using pg_stat_statements extension, EXPLAIN ANALYZE output parsing, and pg_stat_user_indexes for index usage analysis. Identifies missing indexes, sequential scan bottlenecks, and lock contention issues.
PostgreSQL Slow Query Analyzer
Queries pg_stat_statements and pg_stat_activity to surface the top slow queries by total execution time, mean latency, and call frequency. Runs EXPLAIN ANALYZE on worst offenders and suggests index additions, rewrite candidates, or vacuum triggers. Works on RDS and Supabase.
PostgreSQL Query Plan Explainer
Interprets PostgreSQL EXPLAIN ANALYZE output using pg_stat_statements and auto_explain module data. Identifies sequential scan bottlenecks, index recommendations via HypoPG, and buffer cache hit ratios.
PostgreSQL Query Plan Diagnostics
Analyzes PostgreSQL query execution plans using EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON) and the pg_stat_statements extension. Identifies sequential scans, nested loop inefficiencies, and index recommendations for slow queries.
PostgreSQL Query Plan Analyzer
Executes EXPLAIN ANALYZE BUFFERS on slow PostgreSQL queries and parses the plan tree for sequential scans, nested loop joins, and sort spills. Integrates with pg_stat_statements for identifying top resource-consuming queries.
PostgreSQL Query Optimizer Agent
Optimizes PostgreSQL queries using EXPLAIN ANALYZE output parsing with pg_stat_statements extension data. Suggests index creation via HypoPG hypothetical index simulator and validates query plans against pg_hint_plan directives.
PostgreSQL Query Diagnostics
Diagnoses slow PostgreSQL queries using pg_stat_statements, pg_stat_activity, and EXPLAIN ANALYZE output parsing. Integrates with the pgBadger log analyzer and pg_stat_user_tables for index recommendation.
PostgreSQL Query Analyzer
Analyzes PostgreSQL slow queries using EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON) output and pg_stat_statements views. Identifies missing indexes via pg_stat_user_tables sequential scan counters and suggests index creation with HypoPG extension.
PostgreSQL Performance Runbook
Executes diagnostic queries against PostgreSQL using pg_stat_statements, pg_stat_activity, and pg_locks system views. Identifies slow queries, lock contention, bloated tables via pgstattuple, and generates EXPLAIN ANALYZE reports with buffer statistics.
PostgreSQL Performance Diagnostics
Analyzes PostgreSQL query performance using pg_stat_statements, pg_stat_user_tables, and EXPLAIN ANALYZE output. Identifies missing indexes via pg_stat_user_indexes and detects lock contention through pg_locks and pg_stat_activity.
PostgreSQL Performance Diagnostic Suite
Diagnoses PostgreSQL performance issues using pg_stat_statements, pg_stat_activity, and EXPLAIN ANALYZE. Integrates with pgBadger for log analysis and pg_stat_user_tables for index recommendations.
PostgreSQL MCP Server
Agent access to PostgreSQL data and queries through MCP.
PostgreSQL Health Diagnostics Agent
Queries PostgreSQL system catalogs pg_stat_activity, pg_stat_user_tables, and pg_locks to diagnose performance issues. Analyzes slow queries via pg_stat_statements and checks vacuum status through pg_stat_all_tables autovacuum columns.
PostgreSQL Diagnostic Runbook
Diagnoses PostgreSQL performance issues using pg_stat_statements, pg_stat_activity, and the pgbadger log analyzer. Identifies slow queries, lock contention, and bloat via pgstattuple extension.
PostgreSQL Diagnostic Analyzer
Runs diagnostic queries against PostgreSQL using pg_stat_statements, pg_stat_activity, and pg_locks system views. Identifies slow queries, lock contention, and bloat using pgstattuple and pg_repack extension analysis.
Postgres MCP Pro
Query, analyze, and tune PostgreSQL databases through your AI agent with safe access controls. Beyond basic SQL execution, it provides index tuning recommendations, query plan analysis, database health monitoring, and schema intelligence.
Postgres MCP Pro Server for Database Analysis and Tuning
Postgres MCP Pro is an open-source MCP server that provides AI agents with PostgreSQL database health analysis, index tuning recommendations, query plan optimization, schema intelligence, and safe SQL execution with configurable access controls.
Post linter and analyzer findings back into pull requests
This ASE skill uses reviewdog to turn linter and analyzer output into diff-aware pull request feedback. An agent can run existing checks, filter findings to the changed lines, and publish inline review comments or annotations instead of dumping raw logs into CI.
Pop Terminal Email Sender and TUI by Charmbracelet
Pop is a terminal-based email sending tool by Charmbracelet with both a TUI composer and CLI mode. It supports Resend API and SMTP backends, file attachments, Markdown body rendering, and integrates with other Charm tools.
Polars Blazing-Fast DataFrame Query Engine
Polars is an extremely fast DataFrame library written in Rust with Python, Node.js, and R bindings. This skill enables agents to leverage Polars for high-performance data manipulation, transformation, and analytical queries on structured datasets.
Polaris Kubernetes Best Practices Validator
Validate Kubernetes resource configurations against best practice policies using Fairwinds Polaris. Runs as a CLI for CI/CD, a dashboard for cluster-wide audits, or a validating webhook for admission control.
Podman Daemonless Container Management Engine
Podman is a daemonless container engine for developing, managing, and running OCI containers on Linux, Mac, and Windows. It provides a Docker-compatible CLI interface with rootless container support and pod management, making it a secure drop-in replacement for Docker in developm
Podcast Transcription Pipeline
Transcribes podcast episodes using OpenAI Whisper API with speaker diarization via pyannote.audio. Exports formatted transcripts to SRT, VTT, and searchable JSON with timestamped segments.
Podcast RSS Feed Transcriber
Automatically fetches podcast episodes from RSS feeds using feedparser, downloads audio enclosures, and transcribes them through OpenAI Whisper API or local faster-whisper models. Generates timestamped SRT files and searchable markdown transcripts with speaker diarization via pya