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Found 10,410 Skills
Execute implementation phase-by-phase following tasks.md
GANG entry skill. When a user types /gang, it indicates that they want to upgrade the current pane to a GANG orchestrator and start the GANG closed-loop. The skill content = run `hive gang init`, move the current pane to a new window, set up the board + skeptic, and automatically dispatch /gang-orch to take over the duty.
Create a persistent HeyGen avatar — a reusable face + voice identity for the agent, the user, or any named character — powered by HeyGen Avatar V technology. Prompt-based creation by default (description → HeyGen builds it); photo upload is optional for real-person digital twins. Use when: (1) giving the agent a face + voice so it can present videos ("bring yourself to life", "create your avatar", "give yourself an avatar", "design a presenter", "set up an avatar", "let's make an avatar"), (2) the user wants to appear in videos as themselves ("create my avatar", "I want my face in a video", "digital twin of me", "build me an avatar"), (3) building a named character presenter ("create an avatar called Cleo", "design a character named X"), (4) establishing HeyGen identity before making videos — the correct FIRST step when no avatar exists yet. Chain signal: when the user says both an identity/avatar action AND a video action in the same request ("create an avatar AND make a video", "set up identity THEN create a video", "design a presenter AND immediately record"), run heygen-avatar first, then heygen-video. Returns avatar_id + voice_id — pass directly to heygen-video to create HeyGen videos. NOT for: generating videos (use heygen-video), translating videos, or TTS-only tasks.
OKR tracker page — quarter banner, three objectives with their key results as progress bars, owner avatars, status pills, and a "this quarter at a glance" sidebar. Use when the brief mentions "OKRs", "key results", "objectives", or "目标".
Create, refine, review, critique, or iterate on low-fidelity grey wireframes under `stardust/wireframes/**/*.html` — structure, hierarchy, section order, spatial relationships, annotations, section metadata (`data-section`/`data-intent`/`data-layout`), and multi-page fragment/reuse mapping (`data-fragment*`). Rendered from briefings. No brand required. Optional stage: users can skip to `/stardust:prototype` for branded layout directly. Use when the user wants to validate page structure before visual design, annotate a wireframe, mark reusable fragments across pages, when the user asks to change, refine, refactor, review, improve, polish, critique, or iterate on structure, section order, or block placement, or whenever the user asks to modify a file under `stardust/wireframes/**/*.html`.
Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
Creates Taubyte resources non-interactively via `tau new` for domain, website, library, function, application, database, storage, messaging, and service. Encodes the project-vs-application scope rule, the database `min < max` constraint, the website/library `--generate-repository` + import sequence, and the forbidden `--generated-fqdn-prefix` flag. Use when adding any resource to a Taubyte project's config repo.
Submit or run an ML experiment on a compute environment (local, SLURM HPC, RunAI/Kubernetes). Use when the user wants to launch a training run, submit a job, run ablations, or execute an experiment script on any compute cluster.
Adapt interfaces for different devices, breakpoints, platforms, and usage contexts without sacrificing core usability.
奶油蓝图架构 deck — 奶油纸
Decompose requirements into structured task lists and build a task management system for long-running Agents (based on the Anthropic Effective harnesses methodology). Automatically trigger when users need to manage multi-session development tasks, track feature completion progress, or request "task decomposition", "task management", or "project planning".
AI project intelligence system. Manages .ai/ directory for rules, behaviours, sessions, incidents, memory, snapshots, and learning loops. Use when: starting a session, switching behaviour, logging an incident, saving feedback, reviewing past sessions, checking active hotfixes, managing snapshots, creating snippets/prompts. Proactively suggest when: user corrects AI behavior ("no", "don't", "wrong", "stop", "always", "never"), session ends, a mistake pattern repeats, starting work on unfamiliar code, user says "remember this" or "learn this".