Best practices for SciPy scientific computing, optimization, signal processing, and statistical analysis in Python
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Best practices for SciPy scientific computing, optimization, signal processing, and statistical analysis in Python
日本語の概要は準備中です。原文の説明を表示しています。
Micro-decision analysis. Catalog the border radii, spacing scales, type sizes, and state coverage that most people miss. Use when auditing design systems, evaluating craft quality, or training granular perception.
日本語の概要は準備中です。原文の説明を表示しています。
Consistent radii, pixel-perfect alignment, state coverage, and the details that signal design quality. Use when polishing designs, auditing quality, or evaluating whether a design is ready to ship.
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Develops an implementation plan ready for wave-orchestration to execute. Takes the user's goal or rough plan as input, mines the codebase for facts, grills the user one question at a time for the decisions, drafts the planning/ artifacts (task DAG, wave table, worker prompt template, state file), then reviews its own plan on two axes before seeking approval. Use when the user wants to turn a feature idea, master plan, or backlog into a wave-orchestration execution plan.
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Decomposes a large implementation plan into small-model-sized tasks executed by supervised worker agents (e.g. Haiku) in dependency-ordered parallel waves, with a plan-first approval gate inside every task, file-based state for context compaction, and a hard escalation ladder. Use when a master plan or multi-workstream feature is too large for one session and should be executed cheaply by many small agents under frontier-model supervision.
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Solves UI lock-in. Reverse engineers your existing UI, strips all layout/token decisions, preserves every hook, handler, and API call untouched, then rebuilds the UI from scratch with a fresh design system. Use /ui-restructure to fully redesign, --style apple|linear|minimal|dashboard for named styles, --mode layout|theme|grid for partial rebuilds, --god-mode to redesign from the user's perspective using 100-user mindset simulation and 6 UX principles, --keep-tokens to preserve your token system, --prompt for custom redesigns. Applies mandatory world-class polish: spring motion, 5-state micro-interactions, 8pt spacing grid, WCAG accessibility. Supports Next.js, React, Vue 3, Tailwind, CSS Modules, styled-components, shadcn.
日本語の概要は準備中です。原文の説明を表示しています。
Supervise other Claude Code sessions on this machine: roster, status requests, GO board, idle notices. Generated from plugin-commands.json; invoke as $bdb-aos:mastersession.
日本語の概要は準備中です。原文の説明を表示しています。
Run the startcycle-graph pipeline: durable state, repair loop, quality gate, escalation. Generated from plugin-commands.json; invoke as $bdb-aos:graph.
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Drive a whole tdmcp feature BACKLOG to completion as resumable, wave-by-wave releases — the campaign layer ABOVE tdmcp-pipeline/tdmcp-feature-lead. Use whenever the user wants to implement an ENTIRE backlog or discovery file (e.g. _workspace/discovery*/FEATURE_BACKLOG*.md), 'all the features', many features across multiple releases, or a long autonomous build campaign, AND for every follow-up: continue/resume the campaign, run the next wave, re-run a failed wave, fold in QA results, or check campaign status. Backed by a ledger.json so re-running is idempotent (skips shipped work, resumes interrupted work) and resilient (retry-once then quarantine-and-continue). For a SINGLE feature or one small batch, use tdmcp-pipeline instead; this skill is for the whole ledger.
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Weekly health report over the BDB repos: git and npm version drift and CI status as an HTML report with auto-remediation off, red CI routed to pb-ci-fix, non-release remediation steps run one at a time after GO. Use for "weekly health check", "ecosystem health", "are all repos green and in sync".
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Ship the day's work in one repo: triage new issues, review every open PR (description, visual recap, adversarial reviewer, shipping pre-flight and quality gate), merge only after GO, then post a status recap. Use for "ship it", "ship day", "merge the ready PRs", "end of work block".
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Publish a project's docs as a static HTML manual on GitHub Pages: check that Pages is enabled, bring the wiki up to date, list the doc gaps, build the site, preview it locally and push it after GO. Use for "publish the docs", "docs site", "put the manual on GitHub Pages".
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Write a handover note for a colleague from the state of a project folder: what is done, what is open, what is risky, the next 3 steps and where things live. Sent only after your GO. Use for "handover note", "hand this project over", "I'm going on leave, brief my colleague".
日本語の概要は準備中です。原文の説明を表示しています。
Run one control session over several Claude Code, Codex or OpenCode sessions: roster, status board, GO board, GO <session> tokens, idle notices and a handover file. Use for "master session", "supervise my sessions", "run several agents", "one control window".
日本語の概要は準備中です。原文の説明を表示しています。
Move issues and external PRs through a state machine of triage roles, categorise, verify, and write agent-ready briefs.
日本語の概要は準備中です。原文の説明を表示しています。
Expert in TanStack Query (React Query) — asynchronous state management. Covers data fetching, stale time configuration, mutations, optimistic updates, and Next.js App Router (SSR) integration.
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Use when the user wants each agent response to end with a red/yellow/green status line showing whether the work is finished, pending a follow-up, or blocked on input.
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Show or explain the AOS go-gate mode (hard, soft, off) and the time-limited grants of this session. Use when the human runs /bdb-aos:gogate, asks why a git push, merge, publish or destructive command was blocked, or wants to know which grants are active. The agent only displays status and explains; only a plain `gogate ...` message typed by the human changes a mode or a grant.
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Utilizes the Resolume Arena MCP server to trigger clips, clear layers, adjust speeds, and query composition status via the Resolume REST API.
日本語の概要は準備中です。原文の説明を表示しています。
Use when facing 2+ independent tasks — "in parallel", "independent tasks", "multiple unrelated failures", "different test files or subsystems" — that can be worked on without shared state or sequential dependencies. Dispatch one agent per independent slice, each with only the context it needs, even when the user did not ask for subagents explicitly.
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Use when a task needs a small, throwaway multi-agent fan-out (a couple of parallel workers plus a review pass) in ANY project — trigger phrases "spawn a few parallel agents", "fan out", "quick worker team" — without the full /startcycle-graph contract, no .agents/graph.md bootstrap, no state.json schema, no persistent files. Roles run on the session model unless `.aos/pipeline.json` overrides one (an external CLI can take the worker step) and portable across machines that may not have Antigravity/OpenCode/Codex installed.
日本語の概要は準備中です。原文の説明を表示しています。
Use when one Claude Code session must supervise several others on this machine — adopting sessions the user started by hand, or spawning workers itself. Covers roster, status requests, a GO board, idle notices, and the GO-token protocol. Works with AOS alone; the AO daemon is optional.
日本語の概要は準備中です。原文の説明を表示しています。
Animation, morphing, and shader best practices for Liquid Glass and SwiftUI motion on iOS 26+/macOS 26+ through iOS 27. Use when animating glass or building UI motion: glassEffectID, @Namespace morphing, GlassEffectContainer spacing, glassEffectUnion, glassEffectTransition (.matchedGeometry/.materialize), withAnimation, springs, UnitCurve, PhaseAnimator, KeyframeAnimator, @Animatable, matchedTransitionSource, navigationTransition zoom, scrollTransition, visualEffect, Metal shaders (colorEffect, distortionEffect, layerEffect, [[stitchable]]), accessibilityReduceMotion gating, Instruments/xctrace profiling of hangs and animation hitches. Also fires on symptoms: glass morph not animating, view pops in instead of morphing, glass fades instead of materializing, morph flickers with Reduce Motion, menu glass morphs as a rectangle, animation runs on insert but not removal, PhaseAnimator loops forever or fires once, shader shows clipped edges (maxSampleOffset), animation hitches or main-thread hangs while scrolling glass chrome. For static glass, availability gating, toolbars, UIKit/AppKit glass, or accessibility of the material itself use the liquid-glass skill first.
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Browse, inspect, re-export, embed, or iterate on videos that already exist in the user's Ozor.ai account. Use this skill whenever the user wants to work with past or in-progress Ozor videos rather than create a new one — e.g. 'list my Ozor videos', 'show my recent videos', 'what's the status of my last video', 'get the embed code for that video', 'download my last Ozor video', 'share link for the explainer I made', 'check on the export', 'send a follow-up edit to that video', 'show the plan for video X', 'render that video again at 9:16', 'is the job done yet'. This skill orchestrates list_videos, get_video, get_job, get_plan, update_plan, send_message, wait_for_job, export_video, wait_for_export, and get_embed_code. Do NOT use this skill to create a new video from scratch — use ozor-generate, ozor-document-video, or ozor-url-to-video.
日本語の概要は準備中です。原文の説明を表示しています。