Results for “task”

This skill should be used before running non-interactive long-running tasks, computation intensive tasks, background tasks, or needs guidance on the pueue CLI tool usage. TRIGGER when user says "use pueue", "run in background", "queue this task", or when about to run any long-running (>2 min) task.

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Trigger.dev client/frontend surface: subscribe to runs in realtime (runs.subscribeToRun and the @trigger.dev/react-hooks hook useRealtimeRun), consume metadata and AI/text streams in React (useRealtimeStream), trigger tasks from the browser (useTaskTrigger, useRealtimeTaskTrigger), and mint scoped frontend credentials with auth.createPublicToken / auth.createTriggerPublicToken. Load when wiring a frontend (React/Next.js/Remix) or backend-for-frontend to show live run progress, status badges, token streams, trigger buttons, or wait-token approval UIs. NOT for writing the backend task itself (streams.define / metadata.set is trigger-authoring-tasks territory); this is the consumer side.

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Bootstrap Trigger.dev into an existing project from scratch: authenticate the CLI, install @trigger.dev/sdk and @trigger.dev/build, write trigger.config.ts with the project ref and task dirs, scaffold a /trigger directory with a first task, wire tsconfig and .gitignore, set TRIGGER_SECRET_KEY, and run the dev server. Load this when a project has no trigger.config.ts yet and the user asks to "add Trigger.dev", "set up Trigger.dev", "initialize Trigger.dev", or get a first task running, including in a monorepo. Once the project is set up and you are writing task code, switch to the trigger-authoring-tasks skill.

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A live visual Kanban board and continuity layer for long-running agentic tasks. Nobody wants to read a markdown plan or stare at raw HTML while an agent grinds for an hour, so Plandeck turns the plan into a board that organizes itself. Use it when a task is multi-step, long-running, or needs visual planning. Break the work into cards, declare which card depends on which, and Plandeck computes the critical path, auto-promotes cards to Ready as their dependencies clear, rolls up story-point estimates into an honest percent complete, and names the one next action. Plans, observed transitions, and last-known-good snapshots stay as plain files on disk, so they survive /clear and context resets. After a reset, run plandeck next to recover the single next move and its recent history. If the plan stops parsing, run plandeck doctor before using git. Renders a live board in the browser over SSE. Triggers on plan a project, break down a task, kanban board, task board, visual plan, long-running agent, agentic task, track dependencies, critical path, story-point estimates, what is next, mission journal, recover plan, plandeck.

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Assign the current or given task plan to oneself or to somebody else, with assigning it to oneself tracking the AI usage (time, tokens, and costs) of the session until the task is given back, which adds the accumulated usage to the usage attachment of the task. Use when the user wants to "assign", "take", "pick up", "give back", "hand over", or "unassign" the "task" or "plan".

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Automatically optimize AI agent credit usage by routing tasks to the most cost-efficient execution path. Use when you want to reduce AI API costs by 30-75% without quality loss, classify task complexity before execution, route simple tasks to free or low-cost models, split complex tasks into optimized sub-tasks, or detect vague prompts before wasting credits.

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Execute a Carmack Council plan task by task. Use when explicitly asked to implement a plan, do a "council implement", "carmack implement", "council build", or invoke /council-implement. Reads the output of /council-plan and builds each task sequentially, loading the relevant expert's reference document per task. Verifies after each task. Produces an implementation log for /council-review. Stack: Next.js App Router / React / TypeScript / tRPC / Prisma / Neon / Clerk.

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Parallel SDLC batch runner. Analyzes a list of independent task descriptions, groups them by heuristic file-conflict prediction, dispatches one worktree-isolated background agent per task (each running the full pipeline-orchestrator: BA → Dev → QA → Sec → Docs), and aggregates results into a single batch summary. Use when: - `/sdlc:batch` invokes this skill after parsing its arguments (Step 2 of commands/batch.md) - You have 2+ independent feature/fix descriptions to run through the SDLC pipeline in parallel Do NOT use for: - A single task (use pipeline-orchestrator directly via /sdlc:start) - Tasks that must share a single working tree (this skill isolates each task in its own git worktree)

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実装計画・設計書からタスクを分解し、ファイル単位の依存関係を分析して 並列実行可能な Wave に自動グルーピングするスキル。 編集ファイルが被らないタスクは全て同時並列にし、 Mermaid 依存関係図 + ディレクトリ分割された TODO ファイル群を出力する。 team-plan の後工程、team-implement の前工程として使える。 Use when: 実装計画を並列タスクに分解したい、Wave 実行順序を設計したい、 タスクの依存関係を可視化したい、分業できる部分を洗い出したい。 Triggers: "タスク分解", "並列タスク", "parallel task", "Wave 設計", "依存関係を整理", "分業", "タスクリスト作成", "並列計画", "task breakdown", "parallel plan", "wave planning", "同時に進められる"

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Slice a NowStack Mobile app's .agents/plan/PRD.md + .agents/plan/ARCHITECTURE.md into well-scoped, implementable task files under .agents/plan/tasks/, each an autonomous 1–3h vertical slice (Convex schema/function → Expo screen → wiring) with success criteria, dependencies, and verification commands. Use for "create tasks", "ns tasks", "break this into tickets", or as the third planning step after ns-prd and ns-architecture. Both docs must exist first.

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Teaches you how to break large tasks into stages, save your place between sessions, and recover smoothly when a task gets interrupted. Use when planning a multi-day project, for breaking down large work into manageable stages, during recovery from an interrupted session, when managing complex ongoing work, or when the user says "cowork stopped in the middle", "token limit", "task too large", "context management", "how to do big tasks", "session got cut off", "cowork forgot what we were doing", "how do I work on something over multiple days", "it lost track of the project", or "my task is too big for one session".

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Guides you through setting up your first automatic task in Cowork — picking the right one, configuring the schedule, and making sure it runs correctly. For enabling background automation while you focus on other work, when setting up recurring morning briefings or end-of-day summaries, or during an automation setup session. Use when the user says "schedule a task", "automate something", "run this every day", "recurring task", "first scheduled task", "daily automation", or "can cowork do something automatically".

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Execute the tasks from an already-created feature plan in .unikit/code/plans/ — read the plan manifest (the PLAN.md file in the plan folder), work through the uncompleted tasks in order, write the code, mark progress, and resume across sessions. Supports selective runs by phase or by task numbers, and continuing from where the last session stopped. Use whenever a plan exists and the user wants to build it, e.g. "implement", "implement the plan", "start coding", "execute the plan", "run the plan", "do the next task", "implement phase 3", "implement tasks 2.1 and 2.3", "continue implementation", "continue where we left off", "keep going on the feature". To create the plan first, use the planning skill — this one carries an existing plan out.

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Accept or apply for a task on OpenAnt. Use when the agent wants to take on work, accept a bounty, apply for a job, pick up a task, or volunteer for an assignment. Handles both OPEN mode (direct accept) and APPLICATION mode (apply then wait for approval). Covers "accept task", "take this task", "apply for", "pick up work", "I want to do this".

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Parses complex problems into DAG (Directed Acyclic Graph) execution structures. Decomposes tasks into nodes with dependencies, identifies parallelization opportunities, and creates optimal execution plans. Activate on 'build dag', 'create workflow graph', 'decompose task', 'execution graph', 'task graph'. NOT for simple linear tasks or when an existing DAG structure is provided.

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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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Turns an existing Product Requirements Prompt at .ai/[feature]/prp.md into a step-by-step task list of parent tasks and sub-tasks, saved to .ai/[feature]/tasks.md and committed. Use when a PRP is ready to be broken down into implementable work, or when planning how a feature will be built before any implementation starts. To write the PRP itself first, use prp- generation.

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Set up parallel agent team for COMPLEX tasks. Creates worktree structure, generates ownership map, and initializes task queue. Use when orchestrator decomposes a task into parallel subtasks, or when asked to "set up team", "parallel setup", or "configure worktrees".

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Task claiming and ownership tracking for parallel agent execution. Agents claim tasks from a shared queue with file ownership enforcement. Use during parallel execution phases when multiple agents work simultaneously.

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Verify and enrich task descriptions to ensure each is independently executable with sufficient context. Use when "enriching tasks", "preparing handoff", "verifying task quality", or before running /task-handoff.

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Break down implementation plans into actionable task lists. Use after planning to create a structured task breakdown. Generates tasks.md with ordered, dependency-aware tasks.

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Schedule and execute background work on iOS using BGTaskScheduler. Use when registering BGAppRefreshTask for short background fetches, BGProcessingTask for long-running maintenance, BGContinuedProcessingTask (iOS 26+) for foreground-started work that continues in background, background URLSession downloads, or background push notifications. Covers Info.plist configuration, expiration handling, task completion, and debugging with simulated launches.

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ALWAYS use this skill when the user asks to schedule, automate, set up recurring tasks, create a cron job, or anything involving timed / periodic execution. Do NOT use the local system crontab — scheduled tasks are stored on the Unique AI Platform and executed by a Kubernetes CronJob, not locally. Scheduled tasks always run on the current assistant (`$UNIQUE_ASSISTANT_ID`); never ask the user which assistant to use, neither in chat nor via `unique-cli elicit ask`. This skill covers creating, listing, updating, enabling, disabling, and deleting scheduled tasks via the unique-cli schedule command.

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claude-task-worker のカスタムワーカー（`workerFiles` に登録する TS 定義）を、`AskUserQuestion` で要件を全項目確定させてから生成し、`claude-task-worker list-workers` でロード検証までするスキル。「カスタムワーカーを作って」「独自のワーカーを追加したい」「新しいラベルで動くワーカーを定義したい」といったリクエストで使用する。

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