Agent Skill Marketplace Listing Optimizer
by Shandra
Optimizes Agensi and AI agent skill listings with clearer positioning, stronger summaries, SEO keywords, use cases, sample outputs, pricing guidance, and conversion copy.
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THE AGENSI STORE
636 skills found
by Shandra
Optimizes Agensi and AI agent skill listings with clearer positioning, stronger summaries, SEO keywords, use cases, sample outputs, pricing guidance, and conversion copy.
by Timoranjes
Structured security auditing for AI agent skills to detect prompt injection, data exfiltration, and malicious commands.
by Kaymue
Diagnose broken RAG systems. 8 failure categories: chunking, embeddings, retrieval, reranking, hallucination. Recall@k measurement.
A retrieval architect that diagnoses why RAG returns confident-but-wrong answers, picks the right context architecture (RAG vs knowledge graph vs structured/temporal retrieval) instead of defaulting to vector search, and designs the institutional-memory schema embeddings throw away.
by zoninmane
Deploy 6 battle-tested multi-agent orchestration patterns to eliminate agent laziness and boost output quality.
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
by Shippers
Developers waste time re-explaining their project to AI agents every session.
by Al1as
Map the geometry of system failures to transform edge-case chaos into structured architectural governance.
by Ifásola
Diagnose RAG bottlenecks with precision metrics (Recall, MRR, nDCG) to identify retrieval or ranking failures.
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 RC V
Transform business ideas into deployment-ready autonomous company blueprints for multi-agent frameworks.
by PromptWagon
Creates professional brand collaboration proposals, influencer outreach emails, creator partnership pitches, deliverables, pricing packages, campaign concepts, media kit copy, usage rights notes, follow-up messages, and negotiation-ready brand pitch assets.
by magia c'c
CLI-driven browser automation for AI agents to handle JS-rendering, sessions, and complex web workflows.
Architectural strategist that converts flat prompts into structured, multi-file ChatGPT Skill blueprints.
by Al1as
A high-discipline decision-governance layer to prevent AI agents from acting on poor evidence or conflicting goals.
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 Adis Cengic
Evidence-backed validation framework for AI agents, Cursor skills, MCP orchestrations, subagent graphs, hooks, and agentic repos — before deployment, not after.
by Roy Yuen
Transform high-level goals into autonomous Plan-Build-Run-Learn iteration loops with persistent workspace learning.
by SkillForge
Force your AI agent to apply senior-level architectural judgment and design notes before writing any code.
by PromptWagon
Creates buyer-friendly help docs, troubleshooting guides, support replies, FAQ sections, and step-by-step instructions for failed downloads, ZIP files, PDF access, Canva template access, Notion template access, Google Drive links, file-opening issues, missing files, expired links, and common digital product support problems.
by Shandra
Creates phased modernization plans for transforming monolithic applications into modular monoliths, service-oriented systems, or microservice-ready architectures without risky rewrites.
Turn generic, crowded AI agent ideas into sharp, differentiated marketplace products with specific buyer problems.
by Shandra
Discovers and ranks internal enterprise processes that can become custom agent skills, with ROI estimates, governance needs, and pilot roadmaps.
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.