run-job-data
Run generate_job_data to execute a study definition
npx skills add majiayu000/claude-skill-registry --skill run-job-data --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Run Job Data Execute a study definition using `generate_job_data`. ## Usage ```bash # Research study (no trading) /run-job-data "job_data/definitions/test_runner/my_research.json" --start 2023-01-01 --end 2023-12-31 # Trading campaign (with cash) /run-job-data "job_data/definitions/test_runner/my_strategy.json" --cash 100000 --start 2023-01-01 --end 2023-12-31 # Debug with AddressSanitizer /run-job-data --asan "job_data/definitions/test_runner/my_strategy.json" --cash 100000 ``` ## Options | Option | Description | |--------|-------------| | `--asan` | Use debug build with AddressSanitizer (must be first arg) | | `--start DATE` | Start date (default: 2023-01-01) | | `--end DATE` | End date (default: 2023-12-31) | | `--cash AMOUNT` | Initial cash - creates trading campaign if set | | `--name NAME` | Output name (default: definition filename) | ## Run ```bash /home/adesola/EpochDev/ClaudeCodeResearch/cpp_tools/run_generate_job_data.sh $ARGUMENTS ``` ## Notes - **Research study**: Omit `--cash` - outputs to `research_studies/` - **Trading campaign**: Include `--cash` - outputs to `campaigns/` - Build first with `/build-job-data` if binary is missing
- Usage
- Options
- Run
- Notes
Research study (no trading) Trading campaign (with cash) Debug with AddressSanitizer
What does the run-job-data skill do?
Run generate_job_data to execute a study definition
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill run-job-data --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.