Skill: nighmat1220/ai-news-collection (version 1.0.0)

--- name: ai-news-pipeline description: Run a self-contained Chinese and international AI news workflow inside the current workspace. Use when the user wants either high-frequency RSS capture only or scheduled report delivery only, with cumulative Excel outputs and a merged Word brief, without relying on an external local repository path. --- # 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`


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)