Transforms vague coding requests into precise, scoped, testable, AI-ready prompts for Cursor, Claude Code, Codex CLI, Replit, and other coding agents.
Shandra
Shandra is a top-ranked AI prompt creator and premium agent skill builder with an established track record in the AI marketplace. She is recognized as a #1 Top Seller on PromptBase, where she has built a trusted catalog of specialized AI prompts and agent skills for creators, entrepreneurs, educators, marketers, digital product sellers, and business professionals. With over 3,000 AI products published, more than 3,000 sales, and 1,000+ five-star reviews, Shandra has become known for creating practical, polished, and commercially useful AI resources that help users save time, organize complex ideas, generate high-quality content, build digital products, and transform creative concepts into actionable workflows. Her Agensi store focuses on premium, ready-to-use agent skills designed for real-world productivity. Each skill is developed with clear instructions, structured workflows, professional formatting, practical use cases, setup guidance, examples, edge-case handling, and a strong emphasis on usability. Her work combines creative strategy, prompt engineering, documentation design, business thinking, and practical automation into reliable tools that users can apply immediately. Shandra’s mission is to create AI skills that feel professional, useful, and complete from the first use — not generic templates, but carefully built workflow systems that help users think better, work faster, and produce stronger results.
Skills by Shandra (24)
Creates safe modernization roadmaps for old, messy, undocumented, or fragile codebases, including risk audits, refactor phases, dependency reviews, testing plans, migration steps, and AI coding prompts.
Designs and upgrades business automation systems into modular, reliable, observable, secure, low-maintenance, enterprise-grade workflows.
Turns dependency scan reports and security alerts into prioritized remediation plans with severity, exploitability, affected area, safe fix strategy, and verification checklists.
Rewrites AI-generated or generic text into natural, credible human-style writing while preserving meaning, improving voice, rhythm, clarity, and audience fit.
Audits Dockerfiles and Compose setups for production readiness, security risks, image size, build speed, health checks, secrets handling, and deployment compatibility.
Audits Kubernetes manifests, Helm values, deployment logs, and service configs to detect configuration errors and produce safe, reviewable fix plans.
Turns plain-English business questions into safe read-only SQL reporting plans, required table/field maps, readable SQL drafts, validation checks, and manager-friendly summaries.
Creates structured troubleshooting runbooks for legacy banking systems with incident classification, dependency mapping, log review checklists, escalation paths, rollback guidance, and post-incident summaries.
Reviews contracts and DPAs for GDPR-related triage issues, extracts obligations, flags missing clauses, creates risk tables, and generates legal-review checklists.
Converts internal SOPs, policies, checklists, and process notes into structured AI-agent workflows with decision trees, escalation rules, QA checkpoints, and audit-ready outputs.
Audits AI agent failures and converts recurring mistakes into durable rules, anti-patterns, regression tests, memory candidates, and improved SKILL.md sections.
Calculates value-based pricing, ROI, buyer segmentation, and monetization strategy for AI agent skills across marketplace, B2B subscription, and enterprise sales models.
Builds compliant B2B outbound SDR workflows that identify target accounts, analyze buying signals, draft personalized outreach, handle objections, and prepare qualified meeting handoffs.
Creates trustworthy research briefs by verifying claims, grading sources, separating facts from assumptions, identifying weak evidence, and producing citation-ready outputs.
Professional DevOps diagnostics for AI agents to solve failed deployments, Docker crashes, and CI/CD pipeline errors.
Diagnoses unreliable tests, identifies root causes, creates stabilization plans, and generates safe AI coding prompts for fixing flaky unit, integration, E2E, and CI tests.
Teaches AI coding agents to make software engineering decisions before coding, including layer placement, complexity control, refactor timing, and framework-change assessment.
Designs robust Windows desktop automation workflows using pywinauto, UI Automation, hotkeys, image matching, OCR, retries, logging, screenshots, and safety controls.
Finds accessibility problems in UI code and turns them into prioritized fixes, WCAG-aware checklists, test plans, remediation tickets, and safe AI coding prompts.
Transforms undocumented repositories into professional README files, setup guides, command maps, architecture notes, environment references, testing docs, and AI agent handoff files.
Protects API endpoints from accidental breaking changes by generating contract maps, validation rules, integration tests, documentation, and safe AI coding prompts.
Turn vague bug reports into structured reproduction kits, diagnostic plans, and precise AI coding prompts.
Creates practical no-code app ideas, MVP briefs, and AI-ready prompts for tools like Bolt.new, Lovable, Cursor, Replit, and single-file web app builders.























