- Body: <body> ## Procedure Read .claude/skills/agkan-icebox-subtask/SKILL.md and follow its procedures to review. ## Effort / Thoroughness Effort level: <ICEBOX_EFFORT> - low: Quick assessment. Focus on obvious gaps or blockers. Minimal research. - medium: Standard review. Check requirements clarity and promote/close decision. - high: Thorough review. Deep analysis of relevance, dependencies, and edge cases. Research codebase as needed. - xhigh: Recommended default for planning/agentic work; maximize coverage of dependencies and edge cases. - max: Reserve for the highest-stakes or most complex tasks. """ ) ``` If a task ID is specified by the user, retrieve and review only that target task: ```bash agkan task get <id> --json ``` Then delegate only that single task to a sub-agent using the same Task call format above. ### 3. Re-fetch Icebox Tasks and Continue or End Session After the sub-agent completes, re-fetch the icebox task list to pick up any tasks added during processing: ```bash agkan task list --status icebox --json ``` If there is no instruction to end from the user and icebox tasks remain, select the next task and repeat from step 2. If no icebox tasks remain, end the session. --- ## Decision Flow ``` Retrieve icebox tasks ↓ Delegate one task to sub-agent ↓ Sub-agent reviews and makes decision - Requirements now clear? → Promote to backlog - No longer needed / superseded → Close - Still unclear / waiting → Keep in icebox ↓ Move to next task (repeat until all are done) ``` --- ## Important Notes - Icebox is not a permanent graveyard — review it periodically - When promoting to backlog, the task will be picked up by `agkan-planning` next - Do not move icebox tasks directly to `ready`; always go through `backlog` → planning first

# Agkan Icebox > Use when reviewing icebox tasks to decide whether to promote them to backlog or close them as no longer needed. - Skill: `gendosu/agkan-icebox` (Agent Skill) - Install (CLI): `npx skillmds@latest add gendosu/agkan-icebox` - Raw SKILL.md: https://api.skillmd.com/api/skills/gendosu/agkan-icebox/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Product & Planning - Author: gendosu (https://skillmd.com/u/gendosu) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/gendosu/agkan-icebox --- # agkan-icebox ## Overview A workflow to review `icebox` tasks and decide whether to promote each one to `backlog` or close it. **Icebox definition:** Tasks that are ideas or candidates not yet ready for planning. They have unclear requirements, are on hold pending external factors, or are low-priority items that may be addressed in the future. --- ## When to Run - When icebox tasks have accumulated and need periodic review - When external conditions change and previously deferred tasks may now be relevant - When starting a new planning cycle and wanting to surface hidden candidates --- ## Workflow ### 0. Fetch Config ```bash CONFIG=$(agkan config get --json 2>/dev/null || echo '{}') ICEBOX_MODEL=$(echo "$CONFIG" | jq -r '.config.models.icebox.model // "sonnet"') ICEBOX_EFFORT=$(echo "$CONFIG" | jq -r '.config.models.icebox.effort // "high"') ``` ### 1. Retrieve Icebox Tasks ```bash agkan task list --status icebox --json ``` ### 2. Review Tasks One by One with Sub-agents For each task, use the **Task tool (general-purpose sub-agent)** to review. Do not use `Skill("agkan-icebox-subtask")`. Instead, invoke it by having the sub-agent read the SKILL.md file: ``` Task( subagent_type="general-purpose", model="", description="Review icebox task #", prompt=""" Please review the following icebox task. ## Task Information - ID: - Title: - Body: <body> ## Procedure Read .claude/skills/agkan-icebox-subtask/SKILL.md and follow its procedures to review. ## Effort / Thoroughness Effort level: <ICEBOX_EFFORT> - low: Quick assessment. Focus on obvious gaps or blockers. Minimal research. - medium: Standard review. Check requirements clarity and promote/close decision. - high: Thorough review. Deep analysis of relevance, dependencies, and edge cases. Research codebase as needed. - xhigh: Recommended default for planning/agentic work; maximize coverage of dependencies and edge cases. - max: Reserve for the highest-stakes or most complex tasks. """ ) ``` If a task ID is specified by the user, retrieve and review only that target task: ```bash agkan task get <id> --json ``` Then delegate only that single task to a sub-agent using the same Task call format above. ### 3. Re-fetch Icebox Tasks and Continue or End Session After the sub-agent completes, re-fetch the icebox task list to pick up any tasks added during processing: ```bash agkan task list --status icebox --json ``` If there is no instruction to end from the user and icebox tasks remain, select the next task and repeat from step 2. If no icebox tasks remain, end the session. --- ## Decision Flow ``` Retrieve icebox tasks ↓ Delegate one task to sub-agent ↓ Sub-agent reviews and makes decision - Requirements now clear? → Promote to backlog - No longer needed / superseded → Close - Still unclear / waiting → Keep in icebox ↓ Move to next task (repeat until all are done) ``` --- ## Important Notes - Icebox is not a permanent graveyard — review it periodically - When promoting to backlog, the task will be picked up by `agkan-planning` next - Do not move icebox tasks directly to `ready`; always go through `backlog` → planning first