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Found 5,143 Skills
Integrate Azure AI Services, Azure OpenAI, and Cognitive Services.
This skill should be used when the user asks to "develop a concept", "explore a new idea", "brainstorm a system concept", "do concept development", "create a concept document", "run Phase A", "define the problem and architecture", or mentions concept exploration, feasibility studies, concept of operations, system concept, architecture exploration, solution landscape, or NASA Phase A.
Build sticker-pack prompts and GIF sticker outputs from a reference image. Use this skill whenever the user wants emoji, 表情包, sticker packs, 微信表情, reaction GIFs, image-to-sticker workflows, 4x6 expression sheets, Nano Banana / Gemini image editing, or asks to turn EmojiGen-style generation into a reusable workflow. Prefer Nano Banana models through Gemini or Vertex AI, but still use this skill when the image grid comes from another tool and only the prompt assembly or GIF production is needed.
Run configurable BMAD pipeline for story delivery using subagent
Full lifecycle orchestrator - spec/impl/test. Spawn-wait-close pipeline with inline discuss subagent, shared explore cache, fast-advance, and consensus severity routing.
Explore-first wave pipeline. Decomposes requirement into exploration angles, runs wave exploration via spawn_agents_on_csv, synthesizes findings into execution tasks with cross-phase context linking (E*→T*), then wave-executes via spawn_agents_on_csv.
Post content to Binance Square through Shift's Skill Router. Auto-run on messages like "post to square", "send this to Binance Square", or "发到币安广场".
Get the latest screenshot or clipboard image and return a temp file path. Use when the user wants to inspect a screenshot or clipboard image.
Publish images to Xiaohongshu (小红书) via CDP browser. Always saves as draft.
End-to-end test-fix workflow generate test sessions with progressive layers (L0-L3), then execute iterative fix cycles until pass rate >= 95%. Combines test-fix-gen and test-cycle-execute into a unified pipeline. Triggers on "workflow:test-fix-cycle".
Run a simulated meeting with multiple expert personas to analyze a subject from diverse perspectives, reach a decision, and propose a solution before implementation. Optionally posts the meeting analysis to a linked GitLab or GitHub issue.
Run a fast autonomous meeting with auto-selected personas, implement the decision, create a MR/PR, commit, push, and post a French summary — all without user intervention.