AI News Pipeline#

Overview#

This skill is executable by itself. The actual workflow scripts are bundled in scripts/. Run them against the current workspace or pass --workspace /path/to/workspace explicitly.

Workspace Requirements#

The target workspace should contain or accept these files and folders:

• config/sources.json
• config/international_sources.json
• companies.txt
• data/
• reports/
• state/

If the folders do not exist, the scripts create them.

Install Dependencies#

Install Python dependencies before first use:

bash

python -m pip install -r /path/to/skill/scripts/requirements.txt

Available Entrypoints#

Use the bundled Python entrypoints depending on the job type.

Capture Only#

Use this for high-frequency collection jobs. It only captures feeds, updates deduplication state, and writes raw and incremental data.

bash

python /path/to/skill/scripts/run_capture_only.py --workspace /path/to/workspace

Report Only#

Use this for scheduled delivery jobs. It reads already-collected data, calls the model for summaries and titles, updates the cumulative Excel files, and rebuilds the Word brief.

By default it uses the reporting window from yesterday 00:00 to today 08:00.

bash

python /path/to/skill/scripts/run_report_only.py --workspace /path/to/workspace

Optional time window:

bash

python /path/to/skill/scripts/run_report_only.py --workspace /path/to/workspace --time-window "2026-03-15 00:00 to 2026-03-16 08:00"

Optional skip-AI mode:

bash

python /path/to/skill/scripts/run_report_only.py --workspace /path/to/workspace --disable-ai

Full Workflow#

bash

python /path/to/skill/scripts/run_full_workflow.py --workspace /path/to/workspace

Optional time window:

bash

python /path/to/skill/scripts/run_full_workflow.py --workspace /path/to/workspace --time-window "2026-03-15 00:00 to 2026-03-15 18:00"

Optional skip-AI mode:

bash

python /path/to/skill/scripts/run_full_workflow.py --workspace /path/to/workspace --disable-ai

What Each Entrypoint Does#

run_capture_only.py

1. Collect domestic RSS items into data/YYYY-MM-DD.jsonl.
2. Collect domestic raw items into data/domestic_raw_YYYY-MM-DD.jsonl.
3. Collect international raw items into data/international_raw_YYYY-MM-DD.jsonl.
4. Filter international items into data/international_YYYY-MM-DD.jsonl.
5. Save per-source snapshots in snapshots/.
6. Update RSS deduplication and source metrics in state/feed_state.json.

run_report_only.py

1. Read the selected time window from collected data.
2. Build the cumulative domestic Excel output in reports/company_mentions.xlsx.
3. Build the cumulative international Excel output in reports/international_company_mentions.xlsx.
4. Call the model to generate domestic AI titles and AI summaries.
5. Call the model to generate international AI titles, AI summaries, and impact scores.
6. Build a merged daily Word brief in reports/.

run_full_workflow.py

1. Run capture.
2. Run domestic reporting.
3. Run international reporting.

Inputs#

• Domestic RSS config: config/sources.json
• International RSS config: config/international_sources.json
• Company list: companies.txt
• Volcengine key: ARK_API_KEY
• Optional model override: ARK_MODEL

Important Behavior#

• state/feed_state.json controls RSS deduplication.
• Excel files are cumulative.
• The Word brief is rebuilt per run.
• The Word international section only includes the top 5 items by impact score inside the selected time window.
• International items without a successful AI summary are excluded from the Word brief.
• AI cache files are deleted automatically after each run.

Troubleshooting#

1. If the workflow does not rerun old RSS items, check state/feed_state.json.
2. If AI columns are empty, check whether ARK_API_KEY is set in the execution environment.
3. If the user wants a full rebuild, delete the relevant daily data files and state/feed_state.json, then rerun.
4. If the user needs exact commands or cloud prompts, read references/commands.md.

References#

• references/commands.md