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THE AGENSI STORE
105 skills found
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 Al1as
A high-discipline decision-governance layer to prevent AI agents from acting on poor evidence or conflicting goals.
by Shandra
Creates phased modernization plans for transforming monolithic applications into modular monoliths, service-oriented systems, or microservice-ready architectures without risky rewrites.
by Timoranjes
Teaches AI coding agents to implement production-grade structured logging, error handling, and observability from the first line of code. For developers deploying agent-built services who are tired of debugging black boxes.
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.
Adversarially audit your agent hooks before you trust them. Catches command injection, secret leakage, over-broad matchers, destructive actions, and blocking-logic mistakes in pre/post-tool-use, prompt, and stop hooks — with a PASS or REVISE verdict and severity-ranked fixes.
by Roy Yuen
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.
Published AI benchmarks measure brains in jars. They test models in isolation or within a single reference harness — and then attribute all performance to the model. This skill teaches you to decompose agent performance into its two actual components: model capability and harness multiplier. The result is evaluations that predict real-world behavior instead of benchmark theater.
by 高紹育
Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.
Transform repetitive, messy prompts into structured, reusable SKILL.md files for your AI agents.
Master the Agensi open standard to build, structure, and document reliable reusable skills for AI coding agents.
by Leo Li
Automate real Chrome profiles with a professional CLI, SDK, and MCP-ready automation stack for AI agents.
by Aomi Labs
Build AI-driven crypto agents that simulate and execute transactions on any EVM chain via natural language.
by Alex Rivera
Complete SEO audit workflow for AI agents. Crawl, analyze, and generate actionable SEO reports with technical, on-page, and off-page recommendations.
by Sir Benjamin
Verify academic citations and claims with a rigorous bullshit detection framework for AI agents.
by Shandra
Transforms vague coding requests into precise, scoped, testable, AI-ready prompts for Cursor, Claude Code, Codex CLI, Replit, and other coding agents.
by Sir Benjamin
Eliminate context drift and enhance depth with a multi-layered active reasoning framework for agents.
by Krrish Jha
Find, triage, and team up on federal contracts, state bids, and B2B opportunities via a NAICS-scoped agent API.
Reliable, health-gated autonomous operations for agents in restricted or sandboxed terminal environments.
by agentzeny
SNAP Private Payments
by Timoranjes
Comprehensive security auditing for AI agents, covering prompt injection, tool permissions, and data leakage risks.
by Shogun Labs
Battle-tested orchestration framework for running 3+ Claude Code agents in parallel. Covers task routing, denbun handoff protocol, exponential-backoff retry, rate-limit guards, structured JSON logging, and automated self-healing — patterns from real production deployments.
by Timoranjes
A professional systematic framework for AI agents to analyze, resolve, and verify complex git merge conflicts.