# Work

> Use when the user says 'plan', 'todo', 'copy plan', 'append plan', 'resume plan', 'priorities', or 'what's next'.

- Skill: `cwinvestments/work` (Agent Skill)
- Install (CLI): `npx skillmds@latest add cwinvestments/work`
- Raw SKILL.md: https://api.skillmd.com/api/skills/cwinvestments/work/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: cwinvestments (https://skillmd.com/u/cwinvestments)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/cwinvestments/work

---



# 📋 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:
   ```bash
   python "${CLAUDE_PLUGIN_ROOT}/db/memstack-db.py" get-sessions <project> --limit 3
   ```
4. Check git state:
   ```bash
   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:

   Write the payload to a file, then pipe it in with `-` as the argument. A payload on stdin is never seen by the shell's parser, so a redirection operator inside a task description cannot be read as one.

   ```bash
   cat task.json | python "${CLAUDE_PLUGIN_ROOT}/db/memstack-db.py" add-plan-task -
   ```

   `task.json` contains:
   ```json
   {"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:
   ```bash
   python "${CLAUDE_PLUGIN_ROOT}/db/memstack-db.py" get-plan <project>
   ```
2. Update individual task statuses:

   Same form, even though this payload is only metadata. One rule with no exceptions is easier to follow than a rule you have to judge.

   ```bash
   cat task-update.json | python "${CLAUDE_PLUGIN_ROOT}/db/memstack-db.py" update-task -
   ```

   `task-update.json` contains:
   ```json
   {"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:
   ```bash
   python "${CLAUDE_PLUGIN_ROOT}/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/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)