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jj-todo-workflow

Structured TODO commit workflow using JJ (Jujutsu). Use to plan tasks as empty commits with [task:*] flags, track progress through status transitions, manage parallel task DAGs with dependency checking. Enforces completion discipline. Enables to divide work between Planners and Workers. **Requires the working-with-jj skill**

86

1.50x
Quality

81%

Does it follow best practices?

Impact

96%

1.50x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-crafted skill that clearly defines a structured TODO workflow using JJ with concrete commands, clear role delineation, and strong validation checkpoints. Its main weakness is moderate verbosity — some sections could be tightened without losing clarity, and the document is long enough that some content could benefit from being split into reference files. The actionability and workflow clarity are excellent, with complete executable examples and explicit guidance on when to stop, report, or proceed.

Suggestions

Trim explanatory prose in sections like 'When to Use draft vs todo' and 'Completion Discipline' — the tables and examples already convey the information clearly without the surrounding narrative.

Consider moving the 'Writing Good TODO Descriptions' and 'AI-Assisted TODO Workflow' sections into separate reference files to reduce the main SKILL.md length and improve progressive disclosure.

DimensionReasoningScore

Conciseness

The skill is generally well-written but includes some unnecessary verbosity: the NOTE about renaming 'broken' to 'standby', repeated reminders about which role each section applies to, and some explanatory text that could be trimmed. The 'When to Use draft vs todo' section and 'Completion Discipline' section are somewhat verbose for concepts Claude can infer. However, most content earns its place given the complexity of the workflow.

2 / 3

Actionability

The skill provides concrete, executable bash commands throughout, with specific script invocations, flag values, and clear examples. The Quick Start section shows a complete cycle with real commands. The helper scripts table, flag reference table, and workflow steps are all copy-paste ready with specific command syntax.

3 / 3

Workflow Clarity

The multi-step workflow is clearly sequenced (Plan → Work → Complete → Next) with explicit validation checkpoints: verify acceptance criteria before marking done, check dependencies before starting, run tests before transitioning. The 'When to Stop and Report' section provides clear error recovery guidance. The `jj-todo-next` without args serves as a review/validation checkpoint before proceeding. Feedback loops are present (fix and re-validate, stay on wip and keep working).

3 / 3

Progressive Disclosure

The skill references external files (references/parallel-agents.md, working-with-jj skill) appropriately, and the helper scripts table provides a clean overview. However, the SKILL.md itself is quite long (~300 lines) with substantial inline content that could potentially be split out (e.g., the detailed 'Writing Good TODO Descriptions' section, the 'AI-Assisted TODO Workflow' section). The structure is good with clear sections, but the document is somewhat monolithic for its length. No bundle files were provided to verify referenced paths.

2 / 3

Total

10

/

12

Passed

Description

85%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong description that clearly defines a specific workflow tool with concrete actions and a distinct niche. It effectively communicates both what the skill does and when to use it, with the JJ/Jujutsu + TODO commit workflow being highly distinctive. The main weakness is that trigger terms lean heavily technical, which could cause the skill to be missed when users describe their needs in more natural language.

Suggestions

Add more natural-language trigger terms that users might say, such as 'task management', 'plan work', 'track progress', or 'organize tasks' to improve discoverability beyond technical JJ users.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: planning tasks as empty commits with [task:*] flags, tracking progress through status transitions, managing parallel task DAGs with dependency checking, enforcing completion discipline, and dividing work between Planners and Workers.

3 / 3

Completeness

Clearly answers both 'what' (plan tasks as empty commits, track progress, manage parallel task DAGs) and 'when' ('Use to plan tasks as empty commits with [task:*] flags, track progress through status transitions, manage parallel task DAGs'). The 'Use to...' clause serves as an explicit trigger guidance.

3 / 3

Trigger Term Quality

Includes relevant terms like 'TODO', 'commit', 'JJ', 'Jujutsu', 'task', 'DAG', and 'dependency', but these are somewhat specialized. Missing common natural language variations a user might say like 'task management', 'track tasks', 'plan work', or 'todo list'. The terms lean technical rather than matching natural user phrasing.

2 / 3

Distinctiveness Conflict Risk

Highly distinctive with a very specific niche: JJ/Jujutsu-based TODO commit workflow with [task:*] flags and DAG management. The combination of JJ version control, empty commits as tasks, and Planner/Worker roles makes it extremely unlikely to conflict with other skills.

3 / 3

Total

11

/

12

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
YPares/agent-skills
Reviewed

Table of Contents

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