「ask」の検索結果

Read and manage Asana tasks: my tasks, task details, create tasks. Trigger phrases: asana, my tasks, task list, todo.

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。

**WORKFLOW SKILL** — Persist analysis so it survives context compression and chains between tasks. USE FOR: any task whose decisions affect future work — features, refactors, architecture changes, integrations. Produces a lightweight Task Analysis Map that externalizes intent, decisions, and chain context. Use to document decisions, create continuity, prevent context loss, bridge tasks, externalize reasoning. DO NOT USE FOR: quick intent validation (use task-intent), deep structured analysis (use contextação).

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 this skill when designing, building, or troubleshooting FSC Action Plan templates for client-facing task sequences such as client onboarding, account opening, annual review preparation, and compliance tasks. Trigger keywords: Action Plan template, ActionPlanTemplate, ActionPlan object, FSC task sequence, onboarding checklist, review prep tasks. NOT for designing the onboarding process itself — use admin/client-onboarding-design. NOT for Health Cloud care plan templates — use admin/care-plan-configuration.

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。

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".

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。

The intelligence layer of WinDAGs. Decomposes natural language tasks into Hierarchical Task DAGs (HTDAGs), matches subtasks to skills, executes waves in parallel, and dynamically expands nodes when complexity exceeds executor capability. Use for 'orchestrate', 'execute DAG', 'parallel agents', 'decompose task', 'coordinate skills'. NOT for single-skill tasks or simple linear workflows.

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。

Google Tasks skill for managing task lists and tasks via the gws CLI. Covers creating, listing, updating, completing, moving, and deleting tasks and task lists.

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。

Check task processing statistics to see how much data and how many docs are moving. Use when checking throughput, diagnosing a stalled task, verifying data movement, or reporting on task activity. Use when user says "is data flowing", "how much data", "check throughput", "how many documents", "task not processing", "data not arriving", "stats", "bytes processed", "stalled capture", "no data in destination", "data volume", "task report", "usage report", or "how much data did we process".

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 a comprehensive health check on a single Estuary task by combining catalog status, data flow stats, recent errors, and publication history. Use when diagnosing a task that seems broken, slow, or stuck. Use when user says "is my task healthy", "something seems wrong", "check my capture", "check my materialization", "why is data not flowing", "task health check", "diagnose my task", or "what's wrong with my pipeline".

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。

Discovers, classifies, and masks repetitive elements and transposable elements with RepeatModeler2 (de novo family library), RepeatMasker (masking against a library), EDTA (plant/structural TEs), or EarlGrey (auto-curating wrapper), and quantifies TE expression from RNA-seq with TEtranscripts/SQuIRE. Covers de-novo-library-as-curation-project, soft-vs-hard masking, the domesticated-gene over-masking massacre, Dfam-vs-RepBase, TE classification (Class I/II, family-vs-copy), Kimura repeat landscapes, LAI, and the RNA-seq multimapping problem. Use when masking repeats before gene prediction, building a TE library for a non-model genome, or analyzing transposable-element content or expression.

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 a bounded, provider-neutral SDD Composy correction loop on one approved task (EXECUTE, QA, EVIDENCE, REVIEW, VERIFY; at most 3 iterations) with explicit approval, safe-stop guards, and fresh verification. Use to continue an approved TASK autonomously — 'rodar o loop na TASK-003', 'continuar a task até passar', 'start a loop on task 4'. Do NOT use for the host's recurring loop runner, for fleets (sdd-fleet), or for a task without human approval.

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。

Adversarial verification of one SDD Composy task in verify_required: reproduce every claim with fresh commands, build the truth table, refute stale evidence, and produce the verdict that gates complete. Use when review is done and the task claims to be finished — 'verificar a TASK-003', 'a task está pronta mesmo?', 'is this task really complete'. Do NOT use for QA, code review, or a general 'verify my work' outside an SDD task.

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。

Generate and safely advance the SDD Composy task projection from approved PRD, stories, and TechSpec: import contracts, list/next/show, and guarded start/block/transition/verify. Use when work must be decomposed or a task's state inspected or moved — 'quebrar a spec em tarefas', 'listar as tarefas', 'qual a próxima task', 'mark TASK-003 blocked'. Do NOT use to implement a task (sdd- execute), reconcile Markdown and JSON (sdd-sync), or for a status overview (sdd- status).

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。

Discovers, classifies, and masks repetitive elements and transposable elements with RepeatModeler2 (de novo family library), RepeatMasker (masking against a library), EDTA (plant/structural TEs), or EarlGrey (auto-curating wrapper), and quantifies TE expression from RNA-seq with TEtranscripts/SQuIRE. Covers de-novo-library-as-curation-project, soft-vs-hard masking, the domesticated-gene over-masking massacre, Dfam-vs-RepBase, TE classification (Class I/II, family-vs-copy), Kimura repeat landscapes, LAI, and the RNA-seq multimapping problem. Use when masking repeats before gene prediction, building a TE library for a non-model genome, or analyzing transposable-element content or expression.

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。

ストーリーからTDD/E2E/TASK分岐付きタスクリスト（task-list.json）を生成。 ストーリー駆動開発の起点となるスキル。 「タスクを作成」「/dev:story」で起動。 Trigger: タスクを作成, ストーリーからタスク, /dev:story, story to tasks

Consult Claude Code from Codex for a second opinion while Codex remains responsible for implementation and verification. Use when the user asks Codex to collaborate with Claude, consult Claude, ask Claude for a plan, get a Claude review, delegate analysis to Claude, or says "Claudeと一緒に", "Claudeに相談", "Claudeにレビューしてもらう", "Claudeの意見も聞く", or "Claudeと計画を立てる". Also use when an explicit independent planning or review pass from Claude would materially reduce risk on a complex coding task.

[70] CLOSE. Manage task lifecycle with correct statuses and no duplicates. Ensure each task has one status, artifacts match claims, and no task appears in multiple places. Use when managing task lists, updating progress, or ensuring task tracking integrity across systems.

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。

Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks

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。

The intelligence layer of Jury-rig. Decomposes natural language tasks into proposed Hierarchical Task DAGs (HTDAGs), matches subtasks to skills, proposes wave and revision contracts, and expands nodes only when evidence supports a revised graph. Use for 'orchestrate', 'execute DAG', 'parallel agents', 'decompose task', 'coordinate skills'. NOT for single-skill tasks or simple linear workflows.

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。

Apple Remindersの予定付きToDoをMacから確認・追加・編集するスキル。リストの管理や完了・削除にも対応し、iPhoneやiPadで見るタスクを整理できます。

• 今日のタスクや期限超過を確認したいとき
• 期限付きの個人ToDoを追加したいとき
• iPhoneやiPadのタスクを整理

実装計画をタスクごとに別のエージェントへ任せ、仕様への適合とコード品質を確認しながら進めるスキル。進捗をファイルに記録し、最後に変更全体もレビューします。

• 独立したタスクの実装計画を進めたいとき
• タスクごとに仕様への適合を確認したいとき
• 進捗記録から作業を再開したいとき

繰り返すエージェント作業に専用の実行手順を設計し、合否チェックや進捗記録、引き継ぎを整えるスキル。複数の場面で使う手順を共有スキルにまとめます。

• 反復作業の実行手順を設計したいとき
• 作業の合否チェックを追加したいとき
• 繰り返す手順を共有スキルにしたいとき

LLM APIの費用を抑えるため、作業の複雑さに応じたモデル選択、予算の記録、一時的なエラーの再試行、共通プロンプトのキャッシュを組み合わせる設計例を示します。

• LLMアプリのAPI費用を見直したいとき
• 一括処理の難易度でモデルを選びたいとき
• 予算に対する累積費用の確認

Upgrade the pinned Flask-AppBuilder (FAB) dependency in the Apache Airflow FAB provider (`providers/fab/`). Bumps the exact `flask-appbuilder==` pin and its mirror constant, regenerates `uv.lock`, drives the `test_fab_alignment.py` drift tripwire, reviews the vendored security-manager `override.py` against the new upstream FAB, and conditionally re-vendors static assets / DB migrations. Use when asked to "upgrade FAB", "bump flask-appbuilder", or move the FAB provider to a newer Flask-AppBuilder release.

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。

Create institutional-quality equity research initiation reports through a 5-task workflow. Tasks must be executed individually with verified prerequisites - (1) company research, (2) financial modeling, (3) valuation analysis, (4) chart generation, (5) final report assembly. Each task produces specific deliverables (markdown docs, Excel models, charts, or DOCX reports). Tasks 3-5 have dependencies on earlier tasks.

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。