Agiflow Refine Task
SkillProductivityRefine 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.
No other account needed.
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
- Resolve the task with
get_current_scope,list_projects,list_tasks, orget_taskas needed. - Call
get_taskfor full details andlist_task_commentswhen prior decisions may affect scope. - Call
list_project_statusesandlist_membersonly when status or assignment context is relevant. - 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
- Ask focused clarification questions for unresolved decisions. Do not invent requirements.
- Draft the refined title, description, acceptance criteria, scope boundaries, and dependency notes.
- Show the proposed changes and request approval.
- After approval, call
update_taskwith only the fields that need to change. - Call
get_taskagain 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