prompt engineer
by Roy Yuen
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
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THE AGENSI STORE
11 skills found
by Roy Yuen
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
by Kevin Cline
Generate production-ready SEO meta tags, Open Graph cards, and JSON-LD schema markup from any URL or description.
by Kevin Cline
Generate realistic JSON or CSV test data from plain-English schema descriptions with up to 1,000 rows.
Lint the function-calling tool definitions your agent exposes. Flags tools with no description, parameters missing a description or a type, overlapping or near-duplicate tools, too many tools for reliable selection, an unsafe tool exposed without a guard, required parameters missing from the schema, and free-form parameters that should be bounded with an enum. Cleaner tool schemas mean an agent that picks the right tool.
Lint an OpenAPI spec and diff two versions to catch breaking API changes before they reach consumers. Within a spec it flags missing operationId, success responses with no schema, untyped parameters, operations with no security requirement, and unbounded arrays/strings. Across two versions it flags removed paths and operations, removed response codes, a parameter becoming required, narrowed parameter types, removed enum values, and removed response fields. Analyzes JSON specs (convert YAML to JSON first).
by Dan Timms
Create high-converting, brand-consistent Shopify product pages with persisted voice profiles and JSON-LD schema.
Generate valid JSON-LD entity graphs and rich result markup tailored for Google Search eligibility.
Generates correct, policy-safe Schema.org JSON-LD for any WordPress page type and audits existing schema for errors and Google-penalty risk — refusing to emit markup that risks a manual action instead of a rich result.
Scaffold a secure, spec-compliant MCP server from a description of the tools you want to expose. Sets up the official SDK (TypeScript or Python/FastMCP), defines tools/resources/prompts with strict JSON Schema, wires the right transport (stdio or Streamable HTTP), adds OAuth 2.1 for remote, and hardens against the MCP-specific footguns — prompt injection via tool output, token passthrough, over-broad scopes, command/path/SSRF injection, leaked secrets — before it ships. Returns a runnable skeleton plus a security checklist. Built by someone who's shipped production MCP servers.
Turn instructional videos into structured, schema-validated specs without hallucinating missing details.
by heyhridyansh
Diagnose tool-calling failures, schema mismatches, and unsafe agentic workflows with a structured audit framework.