'compose' 검색 결과

Decompose an IP requirement into submodules, define interfaces, and generate an architecture document plus per-module requirement files and a top-level skeleton

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Goal-like loop that uses ultrawork mode to decompose work into systematic, evidence-bound steps.

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Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.

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Generates Docker and docker-compose configuration for multi-container development

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Generate AI music using ACE-Step 1.5 via ACE Music's free API. Use when the user asks to create, generate, or compose music, songs, beats, instrumentals, or audio tracks. Supports lyrics, style prompts, covers, and repainting. Free API, no cost.

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Use for Fermi estimation, or when a rough number is needed fast: "roughly how many...", "ballpark the cost", "estimate capacity or market size", "is this even feasible?". Decomposes, uses ranges and sanity-checks. Skip when exact data is available or a precise calculation is wanted.

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Breaks work into ordered, parallel-dispatchable tasks with an execution DAG. Output format is consumable by CI matrices and parallel agent runners — each task has a stable ID, declared file writes, conflict edges, and branch suffix. Use when you have a spec, brief, or shaper output and need to decompose it into implementable units. Use when a task feels too large, when scope spans multi-repo or multi-week work, or when parallel execution across multiple agents is on the table.

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Decide when and how to build UI in Apple's Liquid Glass design system (WWDC25; iOS/macOS 26+, refreshed in 27) on SwiftUI, UIKit, AppKit and the web. Covers the layer model (glass is for the floating navigation/control layer, never the content layer), regular vs clear variants and the 35% dimming rule, tint only for primary actions, concentric corner radii, morphing and interactive response, Reduce Transparency / Increase Contrast / Reduce Motion fallbacks, verified API names (glassEffect, GlassEffectContainer, glassEffectID, .glass/.glassProminent, UIGlassEffect, NSGlassEffectView, scroll edge effects, backgroundExtensionEffect, tab bar minimize), and three web routes (GPU post-process inside your WebGL/WebGPU pipeline, the ybouane/liquidglass library, CSS backdrop-filter + SVG displacement) with a contrast-on-glass checker and spec auditor. NOT for generic glassmorphism/vaporwave styling, visionOS window glass, app icon design in Icon Composer, or non-Apple design systems (Material 3, Fluent).

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Draft professional emails for various contexts including business, technical, and customer communication. Use when the user needs help writing emails or composing professional messages.

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Decompose DAGs into execution chains using width bounds, stratification, virtual nodes, and matching. Use when minimizing workflow lanes in dependency graphs. NOT for cyclic graphs, generic scheduling, or one-off queries with no preprocessing payoff.

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Builds, validates, schedules, and dynamically modifies DAG execution graphs. Decomposes problems into nodes with dependencies, performs topological sorting, detects cycles, resolves conflicts, and schedules wave-based parallel execution. Use when designing a DAG structure, validating dependencies, planning execution order, or modifying a DAG at runtime. Activate on "build DAG", "plan workflow", "DAG dependencies", "topological sort", "schedule execution", "modify DAG", "replan". NOT for executing DAGs (use dag-runtime), validating outputs (use dag-quality), or matching skills to nodes (use dag-skills-matcher).

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Choose, compare, and decompose work into the right coordination topology: dag, workflow, manager-driven team, swarm, blackboard, team-builder, or recurring loop. Use when the coordination shape is unclear, when you need topology-native breakdown instructions instead of a generic DAG, or when planning topology and runtime topology may differ. NOT for actual execution, node-level skill matching, or framework/tool installation.

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Capstone/orchestration skill — build an M-Agent + N-Human cooperative IDE in Rust gpui (the Harbor): many agents and humans co-editing the same files as co-equal CRDT replicas, governed by claims/guard/salvage, across LAN/shared/remote harbors. The INDEX that dispatches into the sibling rust skills. Use when building the collaborative editor, the agent-fleet console, multiplayer editing with agents-as-peers, or any slice of the Harbor. Trigger on: cooperative IDE, collaborative editor, multiplayer editor, agents and humans co-editing, gpui IDE, Loro CRDT editor, harbor editor, claims/salvage, "build the cooperative IDE". NOT for: a single non-collaborative gpui screen (compose the siblings directly), web editors, or non-editor apps.

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Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

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Android background task specialist for WorkManager, Foreground Services, Doze mode, and battery optimization. Activate on: WorkManager, background task Android, Foreground Service, Doze mode, battery optimization, periodic work, background sync Android, JobScheduler. NOT for: iOS background tasks (use swiftui-data-flow-expert), React Native background (use mobile-offline-sync-architect), UI architecture (use jetpack-compose-navigation-expert).

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Build sample/demo screens that make library options explorable. Add controls, previews, presets, sample data, and QA surfaces in the app module.

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Auto-activate for Dockerfile, compose, Railway, Cloud Run, GKE, systemd, Kubernetes, Terraform, deploy scripts, or granian/litestar run at runtime. Not for packaging artifacts.

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Use this skill when authoring or debugging GitHub Actions workflows (.github/workflows/*.yml) — e.g. "add CI for this Drupal project on GitHub", "run phpcs/phpstan/phpunit on pull requests", "cache composer dependencies", "deploy over SSH when main is pushed", "why didn't my workflow trigger", or anything involving jobs, matrices, runners, secrets, or reusable workflows.

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Use this skill when authoring or debugging GitLab CI/CD pipelines (.gitlab-ci.yml) — e.g. "add a CI pipeline for this Drupal project", "run phpcs/phpstan/phpunit in GitLab CI", "deploy with drush from a pipeline", "why is my job not running", "cache composer dependencies", or anything involving stages, rules, artifacts, environments, or GitLab runners.

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Safe deployment workflow for Drupal 10/11 sites: pre-flight checks, backup, the correct update sequence (composer install, database updates, config import, cache rebuild), verification, and rollback plan. Use when deploying to any environment, releasing to production, or when the user asks to "push changes live", "update the server", or run a release. Also use for multisite releases where each site needs its own database update pass.

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Decompose an approved implementation plan into self-contained beads issues with zero guesswork. Use when breaking down a plan file into actionable beads tasks.

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Decompose an approved implementation plan into self-contained Linear issues with zero guesswork. Use when breaking down a plan into actionable Linear tasks via the MCP server.

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Compose multi-panel publication figures with patchwork, cowplot, gridExtra (R), or matplotlib GridSpec/subfigures (Python) including shared axes/legends/guides collection, panel labels in Nature/Cell convention, and journal-spec sizing. Covers patchwork ≥1.2.0 axes='collect' feature, Type-42 font embedding, and the cairo_pdf save path. Use when composing 2+ subpanels into a single figure for journal submission.

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Decompose total effects into direct and indirect paths through mediators using mediation, CMAverse 4-way, HIMA/HIMA2 high-dimensional, BAMA, two-step / MVMR mediation, or double-ML medDML. Use when testing whether a molecular phenotype (expression, methylation, protein) mediates a treatment-outcome relationship, decomposing exposure-mediator interaction via VanderWeele 4-way, screening high-dimensional EWAS mediators, or running MR-based mediation when sequential ignorability is implausible.

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