Plugin
task-orchestrator
Server-enforced workflow discipline for AI agents. Prompt-based frameworks hope the LLM follows instructions. This one blocks the call if it doesn't.
29 skills209
@jpicklykServer-enforced workflow discipline for AI agents. Prompt-based frameworks hope the LLM follows instructions. This one blocks the call if it doesn't.
@jpicklykChecklists for adding a new MCP tool, a new Flyway database migration, or a new Gradle dependency to the Task Orchestrator…
@jpicklykMigrates an already-populated, unscoped Task Orchestrator database in place to the project-scoping convention — creates a project…
@jpicklykCompatibility assessment for items with the needs-api-compat-review trait. Evaluates the MCP tool surface and the REST surface…
@jpicklykCompletes or cancels multiple items at once — closes out features, cleans up old work, and archives completed workstreams. Use…
@jpicklykConfigures how the MCP Task Orchestrator SERVER runs and is reached — transport (HTTP vs STDIO), the REST API, port publishing,…
@jpicklykCreates an MCP work item from conversation context. Scans existing containers to anchor the item in the right place (Bugs,…
@jpicklykOwns an MCP Task Orchestrator work item's implementation (work) phase — builds the change the item's queue-phase notes describe…
@jpicklykOwns an item's queue-phase planning seat — verifies the plan, freezes decisions, fills the queue notes its seat owns.
@jpicklykOwns an MCP Task Orchestrator work item's review phase — independently verifies the implementation against its plan and fills the…
@jpicklykWrites tests for a work item independently of its implementation — blind to production source by capability boundary, not by…
@jpicklykCheck the Flyway schema version of the SQLite database on a Docker volume
@jpicklykBuild Docker image and start/redeploy the MCP Task Orchestrator container, reusing the last-used config by default
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