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THE AGENSI STORE
745 skills found
A senior WordPress theme architect skill that migrates classic PHP themes to FSE block themes — extracting business logic into a companion plugin during conversion — and delivers both a phased reversible plan and the actual converted files.
Capture "tacit knowledge" and load-bearing hacks into high-impact onboarding and handoff documentation.
A 1,400-line PR with the description 'fixes stuff' doesn't get reviewed — it gets skimmed, approved, and becomes next quarter's bug
Convert existing HTML sections or plain descriptions into production-ready Gutenberg block patterns that inherit your theme's design system — no hardcoded colors, no inline styles, no editor validation errors.
'Should work now' is the most expensive sentence in software — it means the change was reasoned about, not observed, and the next person to touch this code will pay for that assumption
An adversarial reviewer for Dockerfiles and container builds. It flags root users, image bloat, unpinned or cache-busting layers, leaked secrets, and missing hardening, then returns a PASS / FIX / BLOCK verdict — before you build or push the image.
Daily backup-and-restore for a self-hosted Postgres app or Pi: a custom-format pg_dump, app-data tar, config copy, keep-window rotation, and a low-disk Telegram alert, plus a confirm-to-proceed restore, systemd timer, and idempotent install.
Audit your project's dependencies for supply-chain risk before they ship. Detects the ecosystem, runs the right vulnerability scanners against live advisory data, and adds the checks tooling misses — outdated or abandoned packages, typosquatted or suspicious names, risky install scripts, and license conflicts — then returns a prioritized fix list and a PASS / REVIEW / BLOCK verdict. It's npm audit with triage and judgment on top.
Structural and cell-level diffing for CSV/Excel with schema drift detection and CI-ready exit codes.
Write a technical spec that lets reviewers find the flaw before the code does — with data models, edge cases, and failure modes explicit.
Manage multiple Postgres versions and extensions on one Linux box with a port registry and unified backups.
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.
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.
Deploy production-ready Discord Activities to a Raspberry Pi with Colyseus multiplayer and Cloudflare Tunneling.
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.
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.
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.
Expert-level SQL tuning and performance auditing for PostgreSQL, MySQL, SQLite, and SQL Server.
Architect production-grade multi-agent systems with explicit contracts, idempotency, and self-healing reliability.
Transform business ideas into deployment-ready autonomous company blueprints for multi-agent frameworks.
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