Agiflow Refine Task

SkillProductivity

Refine an existing Agiflow task into an unambiguous, testable specification without expanding its intended outcome. Use when a task is vague, lacks acceptance criteria, has unclear scope or dependencies, or is not ready for backlog grooming.

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 Agiflow Refine Task 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/refine-task/SKILL.md and read by ahel’s review.

Make the selected task ready for confident execution while preserving its original intent.

Workflow

  1. Resolve the task with get_current_scope, list_projects, list_tasks, or get_task as needed.
  2. Call get_task for full details and list_task_comments when prior decisions may affect scope.
  3. Call list_project_statuses and list_members only when status or assignment context is relevant.
  4. Evaluate the task for:
    • Clear user or business outcome
    • Concrete scope boundaries
    • Objective acceptance criteria
    • Known dependencies and blockers
    • Appropriate priority and assignee
    • Enough context to complete without guessing
  5. Ask focused clarification questions for unresolved decisions. Do not invent requirements.
  6. Draft the refined title, description, acceptance criteria, scope boundaries, and dependency notes.
  7. Show the proposed changes and request approval.
  8. After approval, call update_task with only the fields that need to change.
  9. Call get_task again to verify the saved result.

Quality Test

Acceptance criteria must be specific, measurable, achievable within the task, relevant to its outcome, and directly verifiable. Replace phrases such as "works correctly" or "handles errors" with observable behavior.

Guardrails

  • Do not add new product requirements during refinement.
  • Do not move the task from Planning to Todo. Backlog grooming owns that transition.
  • Do not delete the task.
  • Preserve useful existing context and comments.

Response

Summarize what changed, which ambiguities were resolved, and whether the task is ready for backlog-grooming.

Signals

GitHub stars
985
Forks
276
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
refine-task
Source
github.com/hashgraph-online/awesome-codex-plugins