This skill is based on practical Power Platform delivery patterns for safely creating, reviewing, and modifying Power Automate cloud-flow JSON in Dataverse solution exports. It focuses on issues that often break real client automations: runAfter paths, renamed action references, connection references, hardcoded values, TRY/CATCH logging, import safety, validation, and rollback notes.
Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.
Build review-ready Capafy Skills from idea to submission. This independent publisher assistant designs the architecture, writes SKILL.md and Agent Card content, applies sector guardrails, plans integrations and data disclosures, recommends monetization and pricing, creates test criteria and brand assets, validates the package, and prepares runtime and submission ZIPs. Not affiliated with or endorsed by Capafy.
Turn recurring social, banner, and ad requests into a repeatable marketing asset production system. This download skill builds a brief intake gate, template decision, content-variable batch plan, brand QA checklist, handoff/version-control rules, and a performance feedback loop, then writes a campaign production package to journal/marketing-assets/. Built for teams whose designer is the bottleneck and whose assets drift across channels.
Skill C是一項進階內容優化和媒體生成解決方案，它建立在技能 A（市場研究）和技能 B（基礎內容產生）的基礎上。它將基礎內容轉化為高品質、平台優化的資產，包括優化的社交媒體文案、完整的影片製作指南、多版本廣告創意、專業幻燈片、輪播設計和自動生成的品牌指南。
Most broken skills are not broken. They load, they validate, and they are never invoked - because the description does not match how anyone actually asks. Covers the one-character YAML mistake that makes frontmatter load empty with no error, how to write a description as a match target rather than a summary, and how to prove invocation in two steps instead of hoping.
Turn a rough skill idea into a structured blueprint: named, prompted, differentiated, and listing-ready.
I've spent years building production software, designing enterprise architectures, reviewing thousands of code changes, and optimizing AI-assisted development workflows. This Skill packages proven engineering, planning, documentation, testing, and code-review practices into a lightweight workflow that helps AI understand any project before making changes, reducing mistakes, hallucinations, unnecessary token usage, and repeated context loading.
用简单的话说出你希望AI编码智能体(Claude Code、Codex、OpenClaw)稳定完成的任务，即可获得一套完整、可直接发布的Skill包：结构规范、带激活优化描述的SKILL.md，可选的配套子智能体定义与hooks片段，一份验证清单，以及大多数作者会跳过的部分——发布前的安全自查，用来揪出密钥泄露、权限过宽和提示词注入风险。这是一套可复用的创作流程，不是固定模板。无需API密钥，不涉及个人数据。