Results for “planner”

Calendar management and scheduling. Create events, manage meetings, and sync across calendar providers.

Calendar management and scheduling. Create events, manage meetings, and sync across calendar providers.

Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.

Creates a concise, actionable plan for coding tasks by scanning context and producing a structured checklist.

Schedules meetings with internal and external stakeholders by parsing natural language requests, resolving time zones, checking calendar availability, proposing optimal slots, and managing invitations and RSVPs. Use when the user requests meeting scheduler or provides relevant inputs for this workflow.

Create implementation-ready engineering plans for WelineFramework. Use in Plan mode, or when the user requests detailed requirements, code modification points, task cards, test cases, acceptance criteria, risk and rollback design, or a handoff package for execution-oriented AI agents.

Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.

Schedule meetings, parse meeting notes, extract action items. Three distinct intents covered. Invoke when user mentions a specific meeting (past or future) by name or context. NOT for general calendar checks (use direct calendar.py), NOT for time-zone math. Triggers: "schedule with X", "minutes of the X meeting", "action items from yesterday's meeting", "prep me for meeting with X".

Strategic planning with optional interview workflow

飞书日历：管理日历日程和会议室。查看/搜索日程、创建/更新日程、管理参会人、查询忙闲和推荐时段、预定会议室。当用户需要查看日程安排、创建/修改会议、查询/预定会议室时使用。不负责：查询过去的视频会议记录（走 lark-vc）、待办任务（走 lark-task）。

Strategic planning with optional interview workflow

Writes an actionable markdown implementation plan to .hermes/plans/ without executing code, using bite-sized tasks, exact paths, and complete code examples.

Use when creating or editing a macOS LaunchAgent for a recurring or scheduled script. Covers plist structure, PATH resolution, multiple trigger times, the reload workflow, and which behaviors launchd already handles so they don't need to be rebuilt.

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).

Breaks natural-language problem descriptions into sub-tasks suitable for DAG nodes. The entry point of the meta-DAG. Identifies phases, dependencies, parallelization opportunities, and vague/pluripotent nodes that can't yet be specified. Uses domain meta-skills when available. Activate on "decompose task", "break down problem", "plan workflow", "what are the steps", "sub-tasks", "task breakdown". NOT for executing the decomposed tasks (use dag-runtime), building the DAG structure (use dag-planner), or matching skills to nodes (use dag-skills-matcher).