ui component architect
by tudor
Generates stunning, mobile-responsive Tailwind CSS components and modern landing pages.
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THE AGENSI STORE
62 skills found
by tudor
Generates stunning, mobile-responsive Tailwind CSS components and modern landing pages.
by Shandra
Transforms vague coding requests into precise, scoped, testable, AI-ready prompts for Cursor, Claude Code, Codex CLI, Replit, and other coding agents.
High-integrity landing page audits that identify ad spend hazards and conversion blockers for Google Ads traffic.
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
Automatically builds complete, launch-ready SaaS websites, databases, and secure user dashboards, with security audits at each step.
Instantly diagnose any skill or prompt and get a clear, prioritized report on what’s wrong and how to fix it — across any agent.
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
Creates practical no-code app ideas, MVP briefs, and AI-ready prompts for tools like Bolt.new, Lovable, Cursor, Replit, and single-file web app builders.
Lint your AGENTS.md (or CLAUDE.md and .cursorrules) for the problems that make a coding agent misbehave. Flags contradictory rules, references to files and commands that no longer exist, overly broad or unsafe instructions, missing sections (build, test, run, conventions), duplicate rules, and the case where you have competing rule files that should be consolidated into one AGENTS.md.
by Timoranjes
Maximize AI agent performance with proactive token management, intelligent compaction, and session handoff strategies.
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.
by GTDataworks
Generate source-safe repository audits and repair handoff bundles without mutating your code.
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.
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.
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.
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.
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
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 Adis Cengic
Evidence-backed validation framework for AI agents, Cursor skills, MCP orchestrations, subagent graphs, hooks, and agentic repos — before deployment, not after.
by Timoranjes
Teaches AI coding agents (Claude Code, Cursor, Codex CLI) to perform structured financial research using free APIs and systematic methodology. Covers SEC filing analysis, financial metrics extraction,
by Timoranjes
Teaches AI coding agents the discipline of context engineering — designing what information the agent sees, when, and in what format — to dramatically reduce token waste, prevent session amnesia, and
by Timoranjes
Teaches AI coding agents to systematically verify their own work before declaring "done." Implements a structured five-check verification gauntlet (build/test/lint/git-diff/runtime) that the agent run
by Timoranjes
Teaches AI agents (Claude Code, Cursor, Codex CLI) to set up, dispatch, and coordinate multi-agent workflows using the `claude agents` command. Covers agent role definition, handoff protocols, paralle