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THE AGENSI STORE
300 skills found
One-line summary description Stop your agent from claiming "done" before it's proven. A verification gate that classifies each change by risk (payment, auth, database, user-facing), picks the tests that actually cover it, demands evidence, maps regression risk, and outputs an honest pass/fail report. Turns "looks good to me" into "here's what I ran, and here's what's still unverified."
Build high-speed, full-stack React apps with Next.js 14+ App Router, Server Components, and Server Actions.
by Nex AI
The complete Nex Prompt Booster Chrome extension (real shipped Manifest V3 source): turn short, lazy AI prompts into detailed, structured, expert-quality prompts instantly, right inside ChatGPT, Claude, Gemini, Perplexity and Grok, with no API calls. Ships the full extension plus the dev loop, customization guide, and Web Store packaging steps. No build step.
A structured WCAG 2.1 AA audit and fix agent for WordPress themes, organized by block theme, Gutenberg, forms, and navigation context, with scored findings and complete before-to-after code patches.
Production prompts grow by accretion — every failure gets another appended rule until the prompt is two thousand words of contradictions that the model navigates unpredictably
by S0lidByte
Master orchestrator that routes engineering tasks to 18 specialized AI skills with persistent project context.
by Corey Jacobs
Five compact skills for artifact intake, preflight review, test planning, session handoff, and local tool-candidate inspection.
by Corey Jacobs
Convert loose prompt sets into structured, target-ready records with variables, contracts, and eval cases.
Paste any AI output. Get the production-ready prompt that made it.
Optimize your website's architecture and content to be discovered, indexed, and cited by AI agents and LLMs.
by Ryan lyell
A cognitive reasoning protocol and Markdown-based local memory system for high-stakes AI development and strategy.
by Corey Jacobs
Run a buyer-readiness check before publishing an AI agent skill package.
by Timoranjes
Evaluate third-party agent skills for command injection, prompt injection, and data exfiltration before installation.
by Scotty W
337+ professional-grade tools for finance, networking, SEO, and development in a single MCP server.
Stop leaving your AI startup exposed to malicious users trying to steal your proprietary system prompts or bypass your paywalls. The AI Prompt Injection Defense Shield is an automated code review agent that deeply analyzes your Next.js or Python backend, instantly detecting insecure LLM input fields, un-sanitized API data streams, and weak prompt boundaries. By automatically generating the exact copy-paste code patches required to harden your AI wrapper against the latest OWASP top 10 LLM vulnerabilities, this skill allows solo developers and indie hackers to confidently launch their SaaS without the fear of massive, unexpected API billing spikes or catastrophic data leaks.
by Corey Jacobs
Convert a repeatable workflow into a reusable agent skill or staged skillchain candidate.
by Timoranjes
Structured security auditing for AI agent skills to detect prompt injection, data exfiltration, and malicious commands.
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 magia c'c
CLI-driven browser automation for AI agents to handle JS-rendering, sessions, and complex web workflows.
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
Architectural strategist that converts flat prompts into structured, multi-file ChatGPT Skill blueprints.
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.
by Shippers
Developers waste time re-explaining their project to AI agents every session.
Design and write the eval suite for your LLM-powered feature — the metrics that match your failure modes, a golden dataset plan with starter cases, anchored rubrics, LLM-as-judge prompts with the known bias mitigations, and pass/fail gates wired for CI.