Daily workflow

Skill allanbian1017/skills/skills/personal/daily-workflow

Skills for automate workflows, assist in daily tasks, and enhance overall productivity.

Install

npx -y skills add allanbian1017/skills --skill daily-workflow

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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.md

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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 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

Discover Google Task Delegate list:
```
gws tasks tasklists list
```
Extract DELEGATE_LIST_ID for list matching title == "Delegate". List pending tasks:
```
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.

Discover unread newsletters via Gmail API:

gws gmail users messages list --params '{"userId": "me", "q": "label:newsletter is:unread", "maxResults": 1}'

Check resultSizeEstimate for unread newsletter count.

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:

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 for prompt parameter templates and tracking specs.

Step 4 — Collect Results & Merge Suggestions

Synchronization Barrier: Set a 30-minute global timeout timer via schedule:
```
schedule(DurationSeconds=1800, Prompt="30-minute timeout reached. Proceed with completed subagent results.", TimerCondition="never")
```
Wait for subagents to complete (reactive notification — no polling loop needed). Proceed when all complete or timeout fires.
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.