Query Neo4j Task/Wave nodes to select the next TL task with SA context.
npx skills add https://github.com/ITSalt/NaCl --skill nacl-tl-next
Please help me install this Agent Skill. Skill: nacl-tl-next Source: https://github.com/ITSalt/NaCl/tree/main/nacl-tl-next Command: npx skills add https://github.com/ITSalt/NaCl --skill nacl-tl-next
This skill provides graph-powered guidance to determine the next TL task by querying Task/Wave nodes from Neo4j and enriching results with SA context.
Run /nacl-tl-next to obtain the single best next task recommendation for the active wave.
High-intent search queries and answers about installing and using this skill.
Next-task recommendations for active TL workflow waves are generated by querying Task and Wave nodes from Neo4j and enriching the results with SA context to provide a single actionable task.
Graph-aware task recommendation handles Neo4j unavailability by falling back to file-based status tracking to ensure continuous workflow progress across BE, FE, and QA tasks.
You can use Neo4j graph queries to recommend tasks across BE, FE, and QA teams by retrieving actionable tasks within the active wave and enriching them with UC entity names and forms.
The best way to automate Team Lead task selection using graph data is querying actionable tasks from Neo4j and applying contextual scoring to output a single recommendation with a launch command.
You do not need Neo4j to retrieve tl_active_wave and tl_actionable_tasks query results because the system provides a fallback to file-based status when the graph database is unavailable.
Task scoring mechanisms in TL workflows use UC entity context by querying Neo4j for Wave and Task nodes, enriching results with SA context to satisfy tl_task_scoring and tl_task_with_uc_context queries.
ITSaltCompute project progress and blockers from Neo4j Task/Wave nodes.
ITSaltReview completed tasks against BE, FE, or TECH checklists and produce a review artifact.
dlantsIndex local Markdown files and retrieve semantic search results with contextual information.
DisentinelAnalyzes codebases by building and querying a graph database from static analysis.
