nex postgres multi instance
by Nex AI
Manage multiple Postgres versions and extensions on one Linux box with a port registry and unified backups.
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860 skills found
by Nex AI
Manage multiple Postgres versions and extensions on one Linux box with a port registry and unified backups.
Scaffold a secure, spec-compliant MCP server from a description of the tools you want to expose. Sets up the official SDK (TypeScript or Python/FastMCP), defines tools/resources/prompts with strict JSON Schema, wires the right transport (stdio or Streamable HTTP), adds OAuth 2.1 for remote, and hardens against the MCP-specific footguns — prompt injection via tool output, token passthrough, over-broad scopes, command/path/SSRF injection, leaked secrets — before it ships. Returns a runnable skeleton plus a security checklist. Built by someone who's shipped production MCP servers.
by Nex AI
Stelt een concept-materialenpaspoort en hergebruikinventaris op voor een gebouw of project: materialen, demonteerbaarheid, hergebruikwaarde en oogstkaart bij sloop of renovatie.
by Nex AI
Genereer een volledige checklist voor asbestattesten, keuringen en veiligheidscoördinatie voor renovatieprojecten.
by Nex AI
Deploy production-ready Discord Activities to a Raspberry Pi with Colyseus multiplayer and Cloudflare Tunneling.
Review a database schema, queries, or migration for the mistakes that get expensive in production — bad table design, missing or wrong indexes, slow and N+1 queries, SQL injection, and migrations that lock or break prod. Engine-aware (PostgreSQL, MySQL, SQLite, SQL Server), it runs an ordered review and returns a PASS/REVIEW/BLOCK verdict with prioritized fixes. Schema mistakes are the most expensive kind — this catches them before they ship.
A senior WordPress security auditor that reasons about WP-API taint flow — not regex hits — to find the 8 real plugin/theme vulnerability classes a generic scanner misses, and returns scored findings with ready-to-merge before→after patches.
Generate a spec-compliant llms.txt (and optional llms-full.txt) for your site or repo so AI agents and crawlers can navigate it. Curates the pages that matter, writes the exact llmstxt.org structure — single H1, blockquote summary, and link sections in the precise format agents parse — then validates the format and tells you where to put it. The honest version: a low-cost, machine-readable surface for the agentic web, not an overhyped SEO trick.
by Shandra
Improves Chinese web research with Mandarin search queries, Baidu-style research plans, Chinese source maps, compliant extraction strategies, translation-aware summaries, credibility scoring, and structured evidence reports.
by Nex AI
Automated EU Cyber Resilience Act (CRA) auditing, SBOM generation, and compliance documentation for software repos.
A QA lead for AI automations and agent systems — turns a delivery into acceptance criteria, UAT scripts, a non-determinism test plan, a failure-mode matrix, and a client-ready sign-off pack, or audits an existing automation for the gaps that cause silent production failures.
Turns an OpenAPI/Swagger spec into an exhaustive, framework-ready test suite — happy-path, validation, contract-conformance, auth, and defensive security tests — with a coverage matrix mapping every endpoint, status code, and schema constraint to a test.
A retrieval architect that diagnoses why RAG returns confident-but-wrong answers, picks the right context architecture (RAG vs knowledge graph vs structured/temporal retrieval) instead of defaulting to vector search, and designs the institutional-memory schema embeddings throw away.
by SkillForge
Architect production-grade multi-agent systems with explicit contracts, idempotency, and self-healing reliability.
by Timoranjes
Expert-level SQL tuning and performance auditing for PostgreSQL, MySQL, SQLite, and SQL Server.
by RC V
Transform business ideas into deployment-ready autonomous company blueprints for multi-agent frameworks.
by Timoranjes
Teaches AI coding agents to stop repeating the same mistakes by maintaining a structured LEARNINGS.md file that captures failure patterns, converts them into guardrails, and feeds them back into CLAUD
by Timoranjes
A systematic engine for planning and executing framework migrations, library upgrades, and architectural refactoring.
A professional technical editor's review for your docs. Catches missing context, unclear writing, and unverifiable claims in READMEs, API docs, and changelogs before they ship — with a PASS/REVISE verdict and a prioritized fix list.
by Timoranjes
Teaches AI coding agents to generate production-quality Playwright end-to-end tests from page analysis, user stories, or existing code. Covers selector strategy, test structure patterns, flakiness prevention, and CI integration — for QA engineers and solo devs tired of AI-generated tests that break on first run.
Turn long, messy threads into structured context packs for seamless session handoffs.
Find the code that quietly runs up your LLM bill: uncapped generations, model calls looping with no limit, an expensive model doing a trivial job, and whole files stuffed into prompts. Read-only, every finding explained in plain English.
Write the delegation brief that lets a background or async agent succeed unattended — precise goal, hard constraints, testable acceptance criteria, a verification plan, and stop-and-escalate rules. Turns "go fix the flaky tests" into a spec an agent can actually execute.
Check an AI-built app for work that looks finished but is not: leftover TODOs and stubs, fake or mock data returned as real, errors quietly swallowed, placeholder content, and endpoints that fake success. Read-only, every finding explained in plain English for non-coders.