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Found 65 Skills
Use when an outcome is stated, inferred, or hidden.
Read TODO.md, find the first incomplete TODO item and execute it.
Dispatch background AI worker agents to execute tasks via checklist-based plans.
Lee una URL o lista de ClickUp con tareas de implementación de GoHighLevel y ejecuta automáticamente las que sean automatizables vía API/MCP, dejando claras las que requieren implementación manual. Usar cuando el usuario pase un link de ClickUp y diga "ejecutá", "implementá", "auto-implementá", "auto-ejecutá", "corré las tareas en GHL", "hacé esto en GHL", o cuando el output de `ghl-task-builder` (alias `ghl-clickup-task-builder`) ya esté en ClickUp y se quiera dispararlo. Esta skill es complementaria — `ghl-task-builder` GENERA tareas, esta skill las EJECUTA.
Internal helper contract for calling the pi-companion runtime from Claude Code
(NS) Sync existing GitLab issues with local planning and execution — milestone, RF labels, status transitions, assignee, estimates, spent time. Use during implementation when tasks link to GitLab issues or after plan-version-from-gitlab sync — not for creating new issues (use mcp-gitlab-usage). Always use atomic set_issue_labels and three-step status cycle. Read mcp-gitlab-usage for tool contracts.
PRD construction for work planning. Compulsory in PLAN phase. Builds .prd file as frozen dependency graph of every possible work item before execution begins. Triggers on any new task, multi-step work, or when gm enters PLAN state.
Guide for migrating Apache Airflow 2.x projects to Airflow 3.x. Use when the user mentions Airflow 3 migration, upgrade, compatibility issues, breaking changes, or wants to modernize their Airflow codebase. If you detect Airflow 2.x code that needs migration, prompt the user and ask if they want you to help upgrade. Always load this skill as the first step for any migration-related request.
Execute the implementation plan by processing and executing all tasks defined in tasks.md
Execute tasks from TODO file - Generic task runner [/todo-task-run xxx]
Execute tasks from a track's implementation plan following TDD workflow
Explore-first wave pipeline. Decomposes requirement into exploration angles, runs wave exploration via spawn_agents_on_csv, synthesizes findings into execution tasks with cross-phase context linking (E*→T*), then wave-executes via spawn_agents_on_csv.