work

name	work
description	Use when the user says 'plan', 'todo', 'copy plan', 'append plan', 'resume plan', 'priorities', or 'what's next'.
version	1.0.0

📋 Work — Plan Execution Engaged

Track tasks, manage plans, and survive CC compacts with three operating modes.

Activation

When this skill activates, output:

📋 Work — Plan execution engaged.

Then determine which mode to use based on the trigger.

Context Guard

Context	Status
User says "copy plan", "append plan", "resume plan"	ACTIVE — use matching mode
User says "what's next", "todo", "priorities"	ACTIVE — quick query mode
User provides a task list or plan	ACTIVE — copy mode
General discussion about planning concepts	DORMANT — do not activate
User is executing a task (not managing the list)	DORMANT — do not activate

Step 0: Silent Context Compilation (MANDATORY)

Before executing ANY mode, silently gather current state. Do NOT present findings. Do NOT ask questions. Just internalize:

1. Read the project's STATE.md (if it exists) — current task, blockers, next steps
2. Read the project's CLAUDE.md (if it exists) — conventions, architecture decisions
3. Check recent diary:

   python "$MEMSTACK_PATH/db/memstack-db.py" get-sessions <project> --limit 3
   

4. Check git state:

   git log --oneline -5
   git diff --stat
   

This is silent. Synthesize an internal understanding of where the project stands. Then proceed to the triggered mode with full context. The user already knows their project state — don't waste their time repeating it back.

Mode 1: Copy Plan

Trigger: "copy plan" or when a new plan is provided

1. Parse the entire plan into individual numbered tasks
2. For each task, save to SQLite:

   python "$MEMSTACK_PATH/db/memstack-db.py" add-plan-task '{"project":"<name>","task_number":<n>,"description":"<task>","status":"pending"}'
   

3. Confirm with task count
4. Also write a markdown copy to memory/projects/{project}-plan.md for human readability

Status values: pending, in_progress, completed, blocked

Mode 2: Append Plan (Update Tasks)

Trigger: "append plan" or when updating task statuses

1. Read current plan from SQLite:

   python "$MEMSTACK_PATH/db/memstack-db.py" get-plan <project>
   

2. Update individual task statuses:

   python "$MEMSTACK_PATH/db/memstack-db.py" update-task '{"project":"<name>","task_number":<n>,"status":"completed"}'
   

3. Add new tasks if needed via add-plan-task
4. No size limits needed — SQLite handles scale

Mode 3: Resume Plan

Trigger: "resume plan" — use after CC compact or new session

1. Load plan from SQLite:

   python "$MEMSTACK_PATH/db/memstack-db.py" get-plan <project>
   

2. Parse the JSON output for task statuses
3. Output a summary:

   Plan: {project} ({done}/{total} complete)
   
   Completed: [list]
   In Progress: [list]
   Pending: [list]
   Blocked: [list with reasons]
   
   Recommended next: {first pending task}
   

4. Continue from the first incomplete task

Quick Commands

• "what's next" — queries plan, returns the single next pending task
• "priorities" — shows top 3 pending items from the plan
• "todo" — shows all pending and in-progress items with status

Inputs

• Plan text (copy mode) or project name (append/resume)
• Database: $MEMSTACK_PATH/db\memstack.db (via memstack-db.py)
• Fallback: $MEMSTACK_PATH/memory\projects\ (legacy markdown)

Outputs

• Formatted task list with status indicators
• Updated plan file in memory
• Next recommended action

Example Usage

User: "resume plan for AdminStack"

📋 Work — Plan execution engaged.

Plan: AdminStack (5/9 complete)

[x] 1. Build CC Monitor page
[x] 2. Add setup guide
[x] 3. Fix API key validation
[x] 4. Add refresh feedback
[x] 5. Update guide with curl snippet
[ ] 6. Build cc-reporter.js Node script
[ ] 7. Add WebSocket real-time updates
[ ] 8. Session grouping by project
[!] 9. Mobile polish (blocked: waiting for design specs)

Recommended next: Task 6 — Build cc-reporter.js

Level History

• Lv.1 — Base: Single-mode TODO tracking. (Origin: MemStack v1.0, Feb 2026)
• Lv.2 — Enhanced: Three modes (copy/append/resume), 1K-line limit with auto-summarize, context guard, YAML frontmatter. (Origin: MemStack v2.0 MemoryCore merge, Feb 2026)
• Lv.3 — Advanced: SQLite-backed plans with per-task status tracking, no size limits, structured queries. (Origin: MemStack v2.1 Accomplish-inspired upgrade, Feb 2026)
• Lv.4 — Native: CC rules integration (.claude/rules/work.md), always-on task planning awareness without skill file read. (Origin: MemStack v3.0-beta, Feb 2026)
• Lv.5 — Context-aware: Silent context compilation (Step 0) — reads STATE.md, CLAUDE.md, recent diary, and git state before any operation. Inspired by Intellegix silent pre-flight pattern. (Origin: MemStack v3.2, Feb 2026)