Taskr - Persistent Task Planning & Execution for AI Agents

Corrected parameters.

v1.1.0 — Planning-first rewrite for OpenClaw **New** - task_sync tool: 3-step retroactive record-keeping (survey → drill in → create done tasks) - Cross-session & cross-agent continuity section: how any agent resumes work from any machine - Quick Reference table covering all 13 tools **Changed** - Reframed from monitoring tool to planning-first tool: create hierarchy → review with user → execute - Notes repositioned as audit trail attached to tasks, not agent memory - Statuses reframed as shared checkpoints (open/wip/done/skipped) with explicit skipped discipline - CONTEXT note on new task list is now a required step after create_task - PROGRESS notes clarified: phase-level tasks only, not leaf tasks - Subtask breakdown promoted as primary complexity management strategy, not exception handling **Removed** - generate_tasks tool (removed from Taskr API) - Stale "coding-oriented rules" caveat - Pre-described response schema paths (fragile and redundant — agents read live responses) **Fixed** - Project ID format updated to PR_00000000... pattern - get_task_hierarchy response structure corrected

- Documentation streamlined and clarified for easier onboarding and setup. - Setup instructions condensed, with clearer steps for obtaining and configuring credentials. - Removed repetitive language and redundant sections to improve readability. - Emphasized key workflow patterns and correct task/notes usage. - Updated guidance around which task types and tools to use for non-coding/general agent work.

Summary: This update clarifies and strengthens guidance around when and how to use Taskr for transparent, persistent task tracking. - Updated the description to better emphasize real-time transparency and cross-device monitoring benefits. - Added explicit guidance to proactively offer Taskr for all substantial or multi-step work, not just when the user asks. - Clarified which types of tasks are appropriate for Taskr and which are not. - Added strict instruction to continue using Taskr for entire tracked workflows to prevent incomplete tasks in the dashboard. - Introduced a Quick Reference section outlining the standard workflow loop and automatic status handling. - Improved examples and phrasing to make workflow expectations and user communication clearer.

Initial public release of Taskr skill — remote task memory and tracking for OpenClaw. - Enables agents to create, manage, and update persistent multi-step tasks, with real-time progress syncing to Taskr’s web and mobile dashboard. - Includes setup instructions for environment variables and user onboarding via https://taskr.one. - Emphasizes manual, structured task decomposition using `create_task` (not `generate_tasks`) for best general-purpose results. - Documents key usage principles, such as “one task at a time” and durable context via notes. - Supports transparent, observable workflows for any complex, multi-session work. - Added guidance on authentication, API endpoints, and tool response structure.