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
13 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 RC V
Transform business ideas into deployment-ready autonomous company blueprints for multi-agent frameworks.
by Shandra
Designs controlled multi-agent workflows with clear roles, contracts, validation gates, approval steps, memory boundaries, audit trails, error handling, and fallback behavior.
by Shandra
Discovers and ranks internal enterprise processes that can become custom agent skills, with ROI estimates, governance needs, and pilot roadmaps.
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
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 Ivan Fodjo
Deterministic tiered governance and human-in-the-loop guardrails for AI agent write-actions.
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
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.
by Shandra
Designs customer-support intent taxonomies, sub-intent hierarchies, entity catalogs, slot schemas, required-information rules, validation logic, ambiguity controls, fallback behavior, multi-intent handling, routing criteria, escalation conditions, completion rules, annotation guidance, testing standards, localization, analytics mappings, and lifecycle governance for chatbots, voice agents, help desks, ticketing systems, CRM workflows, and omnichannel support automation.
by Nex AI
Automated US multi-state privacy compliance engine for threshold mapping, policy generation, and DSR workflows.
by Shandra
Evaluates business processes and determines the safest level of AI-agent authority across Advisory, Preparatory, Bounded Execution, Conditional Autonomy, and High-Consequence Autonomy. It decomposes workflows into action-level permissions, identifies reversible and irreversible actions, defines monetary and cumulative limits, creates approval and evidence gates, detects policy exceptions, preserves segregation of duties, establishes stop and rollback conditions, and produces a defensible roadmap for progressively increasing or reducing AI autonomy.
by Shandra
Designs persuasive, realistic, role-based B2B SaaS demo interfaces and walkthroughs for sales teams, founders, product marketers, solution consultants, investors, and enterprise buying committees. It creates populated demo dashboards, guided tours, synthetic demo data, role-specific workflows, before/after states, feature highlights, analytics narratives, automation and AI proof, enterprise governance screens, objection-ready branches, reset strategies, and presentation-ready product moments while keeping real capabilities, synthetic data, concepts, and roadmap features clearly separated.