Code Linter Pro
by Echo Rose
Code Linter Pro - A Premium AI Agent Skill
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THE AGENSI STORE
167 skills found
by Echo Rose
Code Linter Pro - A Premium AI Agent Skill
by Echo Rose
Code Efficiency Analyzer - A Premium AI Agent Skill
by Echo Rose
Code Review Assistant Pro - A Premium AI Agent Skill
by Timoranjes
Teaches AI coding agents to make minimal, surgical code edits instead of full-file rewrites or over-engineered solutions. Solves the #1 agent frustration: "it rewrote 500 lines when 50 would do." Work
by Timoranjes
Teaches AI coding agents to build and run automated regression tests for SKILL.md files. When you update a skill that your team depends on, you need to know it still works — not just that it "looks ri
Model quality is table stakes — the harness is where agents win or fail. This designs yours: it writes a structured, testable system prompt (role, tools, boundaries, method, output contract, failure handling) and maps every concern to the right layer — prompt, tool, guardrail, or evaluation — so the pieces reinforce each other instead of fighting.
by Echo Rose
Ai Robustness Tester - A Premium AI Agent Skill
by PromptWagon
Checks digital products before upload, including file completeness, folder structure, README quality, licence notes, buyer instructions, previews, thumbnail, ZIP readiness, product copy, pricing notes, platform fit, safety risks, rights risks, and final publishing checklist for creators and digital product sellers.
by Timoranjes
Teaches AI coding agents to systematically reduce code complexity by identifying and refactoring high-cognitive-load patterns: deeply nested conditionals, god functions, excessive state mutations, tan
by Shogun Labs
Automated quality checker that runs before publishing to any social platform or content site
by Shogun Labs
Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.
by Timoranjes
Teaches AI coding agents to enforce a strict spec-first workflow: write tests or formal specifications BEFORE implementing any code. Implements a pre-hook that blocks code edits until a test file or s
The meta-skill for AI agents to self-evolve by logging lessons and updating their own instruction files.
by Shogun Labs
Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.
by PromptWagon
Reviews document sets, source quality, chunking logic, metadata, retrieval coverage, citation traceability, answer grounding, source gaps, stale content, duplicate content, and failure patterns for RAG knowledge-base chatbots. Helps AI, product, support, governance, and engineering teams diagnose common and costly RAG quality problems before deployment or after incidents.
by Timoranjes
Teaches AI coding agents to enforce hard numeric quality thresholds on code complexity — cyclomatic complexity, cognitive complexity, coupling, and maintainability index — as deterministic CI/CD gates
Your skill works today. Will it work after the next model update? Build the harness that answers with numbers. Builds a standalone regression test harness with mechanical grading to verify skill behavior after model or code updates.
by Timoranjes
Teaches AI coding agents to perform structured, high-signal code reviews specifically for AI-generated code — catching the failure modes unique to LLM output (confident hallucinations, silent error sw
A two-stage accuracy audit and adversarial review for research-based and factual writing.
Lint your SKILL.md for the security and quality issues marketplace reviewers reject — before you submit.
by Timoranjes
test-coverage-auditor-pro
by Timoranjes
Comprehensive React Hooks audit and optimization skill for AI coding agents. Audits all 15+ built-in React hooks for correct usage, dependency completeness, cleanup patterns, performance optimization,
by t
A structured code review agent that finds logic flaws, security risks, and hygiene issues in your git diffs.