prompt-architect-p

Elevate rough concepts into high-performance prompts for any LLM. Analyzes text, images, links, and documents to craft optimized prompts using proven framewo...

This skill is instruction-only and coherent with its purpose, so it poses low risk. Before installing, consider these practical checks: (1) confirm the agent/runtime actually has the multimodal and/or web-browsing tools the skill assumes — otherwise the 'Links' and 'Images' analysis steps will be ambiguous; (2) be aware the skill forces asking 5–10 clarifying questions and limits final-prompt language to English or Arabic — if that doesn't fit your workflow, request the author change it; (3) the SKILL.md contains some garbled/irrelevant tokens in the description — ask the author to clean up the copy to avoid unpredictable outputs; (4) test the skill with non-sensitive inputs first to verify behavior and UX (clarifying question flow, final formatting); (5) avoid pasting secrets or confidential data into clarifying answers unless you control where those answers are stored/logged. If you require stronger guarantees about browsing or media handling, request explicit documentation of which tools the agent will use and how external requests are made/controlled.

Type: OpenClaw Skill Name: prompt-architect-p Version: 1.0.0 The 'prompt-architect' skill is a well-structured prompt engineering assistant designed to help users refine LLM prompts through a four-step workflow: analysis, clarification, language selection, and generation. The bundle includes comprehensive reference documentation (frameworks.md, quality-criteria.md, templates.md) that provides legitimate prompt engineering techniques like Chain-of-Thought and Few-Shot prompting. While the description in SKILL.md contains a trailing string of unrelated words (e.g., 'skopje namibia recycling commands'), there is no evidence of malicious intent, data exfiltration, or unauthorized command execution.