Latest stable
Installed script catalog
Choose one execution shape, understand its stop conditions, and inspect its evidence. This is the single curated view over the generated installed-script inventory.
Choose a runner
Catalog
parallel_runner.sh · parallel_runner_wait.sh
Parallel Runner
Run independent tasks or complete commands concurrently with a bounded worker pool.
Use when: Items are independent, concurrency is explicitly capped, and each result can be reviewed separately.
workflow_runner.sh
Workflow Runner
Turn ordered operator procedures into reviewed YAML workflows with durable step evidence.
Use when: Steps exchange responses, files, or session IDs, or when a final agent session must be continued.
run_until_completion.sh
Run Until Completion
Repeat bounded YYLO iterations until no open kanban work remains.
Use when: A queue can advance autonomously and every iteration has validation and stop conditions.
kanban.sh
Kanban wrapper
Keep structured task truth available through the project-local YYLO Ledger wrapper.
Use when: Agents and operators need statuses, blockers, responses, and commit evidence from one NDJSON source.
bootstrap.sh · install_requirements.sh
Bootstrap and requirements
Create the project Python environment and install script dependencies consistently.
Use when: Initializing a checkout or refreshing declared script requirements.
log_scanner.sh
Log Scanner
Detect known Python, Node.js, fatal, and resource errors and turn them into kanban bug reports.
Use when: Logs are durable enough to scan and deduplicated findings should enter the task queue.
slack_fetch.sh · slack_fetch.py · slack_respond.sh · slack_respond.py · slack_state.py · github.py
Slack and GitHub integrations
Bring Slack messages or GitHub issues into kanban and return completed responses to their source thread.
Use when: A team has reviewed token scopes, labels/channels, and the response/closure policy.
attachment_downloader.py · clean_logs_folder.sh · cleanup_feedback.sh
Attachments and maintenance helpers
Download referenced attachments and clean generated logs or feedback artifacts deliberately.
Use when: An operator has inspected paths and needs a narrow housekeeping action.