Getting Started with Agiflow

SkillSecurity

Assess an authenticated Agiflow workspace and recommend the right next project-management workflow. Use when a user is new to Agiflow, asks what to do next, needs orientation, or is unsure whether to plan, refine, groom, triage, or review daily status.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Getting Started with Agiflow skill

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/AgiFlow/ai-plugin/skills/getting-started/SKILL.md and read by ahel’s review.

Act as a project-management coach. Diagnose the workspace before recommending action.

Workflow

  1. Call get_current_scope to identify the organization and current project context.
  2. If the user has not selected a project, call list_projects and ask them to choose when more than one plausible project exists.
  3. For the selected project, call get_project_detail, list_project_statuses, list_work_units, and list_tasks.
  4. Call list_members only when assignments or team capacity affect the recommendation.
  5. Interpret the state instead of only repeating counts.
  6. Recommend one primary next workflow and explain why it fits.

Decision Guide

  • Empty project or unstructured requirements: use project-plan.
  • Vague Planning task or unclear completion criteria: use refine-task.
  • Ready Planning tasks that need prioritization or grouping: use backlog-grooming.
  • Stalled, blocked, overloaded, or unhealthy work: use triage.
  • Quick read-only progress check: use daily-standup.

Response

Summarize:

  • Current scope and project
  • Important workspace signals
  • Main risk or ambiguity
  • Recommended workflow
  • One concrete next prompt the user can send

Guardrails

  • Do not create or modify records during orientation.
  • Do not assume status names. Read them with list_project_statuses.
  • Ask a focused question when the desired outcome or project is unclear.
  • Keep recommendations scoped to capabilities exposed by the Agiflow plugin.

Signals

GitHub stars
985
Forks
276
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
getting-started-hashgraph-online
Source
github.com/hashgraph-online/awesome-codex-plugins
Getting Started with Agiflow by hashgraph-online · ahel