deepagents-planning-todos
deepagents-planning-todos is a Task tracking & backlogs skill for AI agents, published by Lubu-Labs in the langchain-agent-skills repository on GitHub. Skillspace rates deepagents-planning-todos C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Use the write_todos tool effectively for task planning and decomposition in Deep Agents. Use when users want to (1) implement task planning with write_todos, (2) break down complex tasks into subtasks, (3) track agent progress through todos, (4) debug why todos aren't completing, (5) design todo structures for different task types (research, coding, analysis), (6) understand todo status lifecycle and best practices, or (7) visualize todo progression from LangSmith traces.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 101
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 93 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 4 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Using the Deep Agents write_todos tool from the public library
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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