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Found 229 Skills
Execute a single Ralph iteration - implement one user story autonomously. Use for manual mode where you want maximum control and fresh context per story. Triggers on: ralph iterate, execute one story, run single iteration, manual ralph.
Designs album concepts, tracklist architecture, and thematic planning through 7 structured phases. Use when planning a new album or reworking an existing album concept.
Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.
Documentation and commit specialist. Runs after ralph subagents complete a Priority group. Reviews RALPH_DONE signals, updates progress.md and PRD task checkboxes, and makes one atomic git commit per completed user story. Also writes an implementation summary when the full PRD is done. Use after ralph subagents finish implementing — never during active development.
Launch a sub-agent judge to evaluate results produced in the current conversation
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 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.
Build and use the verification infrastructure coding agents need to prove their work. Use when: a repo has no bootable dev environment, no real-surface tests, or no interaction layer an agent can use; auditing or grading a repo's agent-readiness; verifying changes work end to end on real surfaces; or when harness gaps block reliable agent output.
Review football data code and visualisations for correctness. Use after building a chart, data pipeline, or analysis. Dispatches specialised reviewers for data correctness, chart conventions, visual inspection, and interactive edge cases.
Comprehensive map and workflows for the API domain. Triggers when users ask to 'design an API', 'secure the APIs', 'update endpoints', 'view the API ecosystem', or want to see all available API orchestration skills.
Expert guide for designing and building high-quality skills from scratch through structured conversation. Use when someone wants to create a new skill, build a skill, design a skill, or asks for help making Agents do something consistently. Also use when someone says "turn this into a skill", "I want to automate this workflow", "how do I teach my Agent to do X", or mentions creating SKILL.md files. Covers standalone skills and MCP-enhanced workflows. Do NOT use for creating subagents (use subagent-creator) or technical design documents (use create-technical-design-doc).
Produce a token-bounded context pack from the Obsidian wiki — a compact, structured slice of the most relevant pages for a topic or recent activity, designed for downstream consumption by another agent or skill. Use when the user says "/wiki-context-pack", "make a context pack", "give me a context slice for X", "pack the wiki for my agent", or "bounded context for Y". Different from wiki-query (which answers a question) — this produces reusable input material for a downstream task.