# Daily Workflow

> Chains the full content intelligence pipeline in optimal order: discover Delegate tasks, dispatch all content items as parallel full-lifecycle subagents, collect results, merge suggestions, run daily distillation, review suggestions. Use when the user says 'run my daily workflow', 'run daily', 'start my daily routine', or any request to run all content processing tasks in sequence.

- Skill: `allanbian1017/daily-workflow` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add allanbian1017/daily-workflow`
- Raw SKILL.md: https://api.skillmd.com/api/skills/allanbian1017/daily-workflow/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: allanbian1017 (https://skillmd.com/u/allanbian1017)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/allanbian1017/daily-workflow

---


# daily-workflow

Orchestrates the full content intelligence pipeline by discovering pending items, dispatching parallel worker subagents, merging AI suggestions, and triggering daily distillation and review.

> **Prerequisites**: `gws` CLI, `agent-browser`, `yt2doc`. Refer to `../gws-shared/SKILL.md` for auth.
> **Dispatch Spec & Schemas**: See [dispatch_spec.md](references/dispatch_spec.md) for classification rules, prompt templates, and output formats.

---

## Orchestration Pipeline

```
[1. Discover & Classify] ──> [2. Pre-create Directories] ──> [3. Parallel Dispatch]
                                                                     │
[6. Review Suggestions] <── [5. Distill Knowledge] <── [4. Collect & Merge]
```

---

### Step 1 — Discover and Classify Items

1. Discover Google Task `Delegate` list:
   ```bash
   gws tasks tasklists list
   ```
   Extract `DELEGATE_LIST_ID` for list matching `title == "Delegate"`. List pending tasks:
   ```bash
   gws tasks tasks list --params '{"tasklist": "<DELEGATE_LIST_ID>", "showCompleted": false, "maxResults": 100}'
   ```
   Classify each task into `threads_queue`, `youtube_queue`, or `website_queue` based on URL matching rules in [dispatch_spec.md](references/dispatch_spec.md).

2. Discover unread newsletters via Gmail API:
   ```bash
   gws gmail users messages list --params '{"userId": "me", "q": "label:newsletter is:unread", "maxResults": 1}'
   ```
   Check `resultSizeEstimate` for unread newsletter count.

3. **Early exit**: If all queues are empty and no unread newsletters exist, log `"No content to process today."` and exit.

---

### Step 2 — Pre-create Directories

Create date-stamped output directories for non-empty queues and the suggestion staging area:
```bash
mkdir -p data/suggestions_pending
# Pre-create reports/<Type>_YYYY_MM_DD/ for active queues only (Newsletter, Threads, Website, YouTube)
```

---

### Step 3 — Dispatch Parallel Subagents

Dispatch all content items concurrently in fire-and-forget mode. Do not block on individual completions. Invocations use path-free declarative sub-agent personas, passing runtime parameters in the first user message.

- **Newsletters**: Fetch email IDs in batches of 10 (`q: "label:newsletter is:unread"`). Spawn subagent `newsletter_worker` for each `MESSAGE_ID`.
- **Threads / Website / YouTube**: For each item in `threads_queue`, `website_queue`, and `youtube_queue`, spawn subagent `threads_worker`, `website_worker`, or `youtube_worker`.

Refer to [dispatch_spec.md](references/dispatch_spec.md) for prompt parameter templates and tracking specs.

---

### Step 4 — Collect Results & Merge Suggestions

1. **Synchronization Barrier**:
   Wait for all dispatched worker subagents to report completion (or failure). Proceed to grading and merging as soon as all worker subagents finish.



2. **Grade & Merge Suggestions**:
   Run subagent `rubric_grader` to score each file matching `data/suggestions_pending/suggestion_*.json`:
   - Approved suggestions score $\ge 4/6$ and append to `data/suggestions_pending.md`.
   - Vetoed or low-scoring suggestions append to `data/suggestions_filtered.md`.
   - Remove processed pending JSON files.

---

### Step 5 — Distill Knowledge

Invoke subagent `distiller_reviewer` (or follow `../daily-distiller/SKILL.md`) to synthesize today's reports into `reports/distillations/`.

---

### Step 6 — Review Suggestions

Invoke subagent `distiller_reviewer` (or follow `../review-suggestions/SKILL.md`) to conduct interactive suggestion review and calibrate user preferences.

---

### Step 7 — Final Summary

Print final summary adhering to the output format in [dispatch_spec.md](references/dispatch_spec.md).