AI Agent Self Improvement Memory Auditor
by Shandra
Audits AI agent failures and converts recurring mistakes into durable rules, anti-patterns, regression tests, memory candidates, and improved SKILL.md sections.
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THE AGENSI STORE
10 skills found
by Shandra
Audits AI agent failures and converts recurring mistakes into durable rules, anti-patterns, regression tests, memory candidates, and improved SKILL.md sections.
by LocoLoboZ
A structured governance auditor to optimize AI project instructions, clean up context, and manage workspace health.
by Echo Rose
Ai Agent Governance Framework - A Premium AI Agent Skill
by PromptWagon
Creates structured safety cases, risk arguments, controls evidence, assumptions, limitations, assurance claims, decision logs, review questions, and sign-off packs for AI-enabled products, systems, workflows, and features. Helps teams turn AI governance expectations into practical documentation rather than abstract policy language.
by PromptWagon
Creates practical, non-technical AI incident response playbooks for businesses using AI tools, chatbots, agents, automations, copilots, and AI-enabled workflows, including wrong-output handling, privacy concerns, unsafe responses, escalation routes, containment actions, customer communication notes, recovery steps, evidence logs, and post-incident review templates.
by PromptWagon
Designs practical memory architectures for AI assistants, agents, copilots, automations, and workflows, including memory schemas, retention rules, update policies, retrieval keys, summary formats, privacy boundaries, conflict handling, user preference memory, project memory, task memory, and audit-ready memory governance notes for builders.
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 PromptWagon
Turns model test results, prompts, outputs, benchmarks, scoring notes, evaluation datasets, failure examples, comparison results, and reviewer observations into clear model evaluation reports with findings, recommendations, evidence gaps, deployment considerations, and repeatable evaluation documentation for AI teams.
by PromptWagon
Scores and prioritizes LLM and AI use cases by business value, effort, risk, data readiness, process readiness, implementation complexity, stakeholder fit, governance needs, and expected operational impact, helping businesses create practical AI adoption roadmaps instead of pursuing random experiments.
by PromptWagon
Turns prompt edits, version notes, testing observations, failure fixes, evaluation outcomes, approval notes, and rollback details into clean prompt change logs, release notes, testing notes, version history, impact summaries, and rollback instructions for prompt-heavy teams, AI workflow owners, agencies, and product teams.