agent-skills-platform

# /agent-skills-platform — Turn Existing Work Into a Reusable Skill The user provides whatever already represents their work — a description, document, link, script, screenshot, transcript, or partial example. Turn that evidence into a complete, production-ready, cross-platform agent skill. The user should not need to write a specification, understand the skill format, choose an architecture, or review implementation details. Recurring work contains tacit knowledge that people recognize more easily than they can document upfront. Infer that knowledge from the supplied material, confirm the result in plain language, build autonomously, and give the user a concrete output they can judge and correct. ## The User Journey Use this guided-light path by default. Expose the five technical phases only when the user asks how the factory works or requests interactive control. 1. **Understand** — read the evidence and summarize the question, trigger, supported decision, required evidence, and measurable success condition alongside the workflow, input, and output. Ask for one confirmation or correction. 2. **Build** — create the skill autonomously. Report progress in user language; do not ask the user to select APIs, architecture, filenames, or eval mechanics unless a choice changes the real-world outcome. 3. **Check** — run validation, pipeline, security, and eval gates. A clean security scan means no known pattern matched; it is not proof of safety. 4. **Try** — auto...