Can I use this if my development directory is different from my planning directory?

Yes, the skill specifically supports target directory mapping, allowing you to maintain planning artifacts in one repository while creating issues in the actual codebase repository.

What makes the generated issues 'enriched'?

Instead of just copying a task title, the skill uses LLM reasoning to synthesize spec excerpts, explain the architectural impact, narrate dependencies, and convert raw verification steps into human-checkable criteria.

What is the main benefit of using this skill?

It transforms abstract planning units into rich, self-contained documentation, ensuring that developers have all the context they need—including spec quotes and architectural fit—directly within their issue tracker.

Does it require Beads to be pre-installed in the target directory?

No, the skill includes commands to initialize the Beads structure and perform the onboarding process in your target directory automatically if it doesn't already exist.

Tasker-to-Beads Transformer

Name: Tasker-to-Beads Transformer
Author: Dowwie

byDowwie

•

Productivity & Workflow

Transforms ephemeral Tasker task definitions into enriched, persistent Beads issues for structured project execution.

This skill bridges the gap between agentic planning and project execution by converting Tasker task definitions into self-contained Beads issues. It automates the 'neural' work of synthesizing specification context, architectural roles, and implementation narratives into human-readable markdown. By enriching raw tasks with specific quotes from project specs and clear acceptance criteria, it ensures that developers or agents have all the context necessary to begin implementation without needing to reference external planning artifacts.

Key Features

018 GitHub stars

02Cross-project transformation for separate planning and execution directories

03Support for batch creation of issues via manifest files

04Automated Beads initialization and onboarding in target repositories

05LLM-powered enrichment of task descriptions using standardized templates

06Context synthesis from specification files and task definitions

Use Cases

01Moving from a 'ready' planning phase to active development in a new repository

02Generating human-readable project roadmaps from agent-generated task lists

03Standardizing issue quality and context across distributed engineering teams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dowwie/tasker tasker-to-beads

For use in Claude.ai and ChatGPT

Download Skill