Solo SaaS Validation Stack
by Zotri.11
A production-grade 5-stage subagent dispatch chain to catch bugs and secure solo SaaS deployments.
New: Software for Agents, always up-to-date, delivered via MCP or web. Browse
THE AGENSI STORE
27 skills found
by Zotri.11
A production-grade 5-stage subagent dispatch chain to catch bugs and secure solo SaaS deployments.
by Shippers
Automatically detect, load, and stack the perfect skills combo for any user request.
by Shippers
Scaffold, structure, and package your AI skills for distribution and marketplace readiness.
by Shandra
Teaches AI coding agents to make software engineering decisions before coding, including layer placement, complexity control, refactor timing, and framework-change assessment.
by tudor.ai
Automatically builds complete, launch-ready SaaS websites, databases, and secure user dashboards, with security audits at each step.
by Ilia Malkin
Diagnose and fix Windows-specific AI coding agent failures across shells, paths, WSL, locks, ports, and CRLF diffs.
by Shandra
Finds accessibility problems in UI code and turns them into prioritized fixes, WCAG-aware checklists, test plans, remediation tickets, and safe AI coding prompts.
by Shandra
Transforms undocumented repositories into professional README files, setup guides, command maps, architecture notes, environment references, testing docs, and AI agent handoff files.
by Shandra
Protects API endpoints from accidental breaking changes by generating contract maps, validation rules, integration tests, documentation, and safe AI coding prompts.
Penetration-test your Claude Code agent's guardrails before you deploy. Throws prompt-injection payloads, shell-chaining, and path-traversal attempts at your PreToolUse/PostToolUse hooks and sensitive-file protections, then returns a pass/fail report on 10+ attack vectors with copy-paste remediation for every gap.
by Zotri.11
Run Claude Code unattended with a battle-tested safety framework, hardened deny-rules, and a 6-layer rollback ladder.
Every orchestration topology — sequential, parallel, hierarchical, map-reduce, critic-actor — selected and designed for your exact workflow. Full system design with agent roles, interfaces, routing logic, and error paths.
Generate a real test suite for any function, module, or file — meaningful edge cases, error paths, boundary conditions, and proper mocks, not happy-path stubs. Detects your project's framework and conventions, plans the cases deliberately before writing, and hands back runnable tests plus a summary of what's covered. Built to write the tests that actually catch bugs.
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.
Point it at an unfamiliar or inherited repo and quickly understand it. Maps the architecture, identifies the key modules and entry points, traces the core end-to-end flows, surfaces the conventions and gotchas, and assembles a clean ONBOARDING.md — turning a strange codebase into a clear mental model fast. Built for the moment you join a project, take one over, or have to explain a repo before changing it.
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 Shandra
Plans safe dependency upgrades and framework migrations for legacy applications with risk analysis, compatibility mapping, test planning, rollback strategy, and phased AI coding prompts.
Write and review the docs AI agents actually read — AGENTS.md for your repo and llms.txt for your site. Drafts them from scratch or audits existing ones for completeness, clarity, and wasted context, with a PASS or REVISE verdict.
by 王晓菲
Production-grade 3-layer agent orchestration with dual-blind verification and automated model routing.
Enforce a 5-phase documentation workflow that verifies code reality against docs using grep and structured templates.
Master Claude Code's settings hierarchy and hook framework to automate workflows and silence repetitive prompts.
by Shandra
Transforms vague coding requests into precise, scoped, testable, AI-ready prompts for Cursor, Claude Code, Codex CLI, Replit, and other coding agents.
Maintain strategic coherence across long coding sessions using Claude Code's native memory and task systems.
by Timoranjes
Maximize AI agent performance with proactive token management, intelligent compaction, and session handoff strategies.