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THE AGENSI STORE
78 skills found
by PromptWagon
Turns business ideas, workflow problems, service concepts, internal tools, marketplace ideas, client portals, booking systems, CRMs, dashboards, and automation concepts into build-ready no-code app specs with app screens, user roles, database fields, user flows, automations, permissions, integrations, MVP scope, testing notes, and developer/no-code builder briefs for small businesses, founders, creators, consultants, and operations teams.
by nowrich
Automates the generation and registry of stable, unique test IDs for UI components and testing suites.
by heyhridyansh
Build a behavioral safety net for legacy code to ensure stable refactoring and migrations.
Automatically add reliable end-to-end tests to existing applications.
Organize supplied accessibility feedback into a traceable evidence map with Claude.
by PromptWagon
Designs Make.com scenario blueprints, module sequences, trigger logic, routers, filters, data mappings, transformations, webhooks, error handlers, retries, fallback paths, testing notes, documentation templates, and build-ready automation briefs for agencies, no-code builders, operations teams, founders, consultants, and small businesses planning reliable workflows before building.
Repair GraphQL nullability drift across schemas, resolvers, loaders, ORM models, generated types, clients, caches, tests, and docs.
Cybersecurity Audit Agent is an evidence-driven AI security auditing skill that analyzes supplied cybersecurity evidence, assesses controls, identifies and prioritizes risks, correlates findings safely, recommends remediation, and verifies corrective actions. It uses a defensible Evidence → Correlate → Prioritize → Assure workflow with strict scope control, prompt-injection resistance, secret protection, framework-aware assessment, transparent uncertainty, and least-privilege operation.
Align end-to-end request deadlines, retries, cancellation, database work, and side-effect ownership so server work stops when its budget is gone.
Repair lost cancellation signals, orphaned async work, retry-after-cancel bugs, stale completions, and unclear request-vs-durable task lifetimes.
Map every code, API, database, test, and dependency affected by a feature change before implementation.
AI Agent Reliability Architect is a production-grade reliability engineering system for AI agents. It systematically discovers capabilities, maps failure modes, generates golden-path, boundary, recovery, and adversarial tests, evaluates tool use and state behavior, and produces an evidence-based Agent Reliability Score™. It includes a deliberate human review checkpoint, remediation planning, regression testing, and final QA—helping teams identify hidden failures and harden AI agents before deployment.
by nowrich
Architect production-ready AI systems with deployable prompts, evidence policies, schemas, and test suites.
Stress-test AI agents for security, reliability, tool abuse, data leakage, failure modes, and production readiness before deployment.
by 香意國際
Turn a supplied agent incident or behavior change into a synthetic regression pack, observable assertions, release gate, and human-reviewed monitoring plan.
An automated validation layer that converts user requirements into testable units to prevent silent output failures.
by Lorky Rongai
A reliability engineering framework for auditing AI outputs via adversarial testing and technical verification matrices.
by GarphenGate
Surgical refactoring specialist that improves code structure through provably behavior-preserving incremental steps.
by nowrich
Converts trading plans into actionable daily checklists and weighted discipline scorecards.
by 香意國際
Structure a repeatable, evidence-based pre-release review from supplied app, build, testing, store metadata, and operational details.
by nowrich
A disciplined framework for transitioning trading strategies from backtests to live deployment via rigorous paper testing.
by nowrich
A structured 100-trade simulated practice curriculum with risk limits, journal templates, and progression gates.