Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is highly actionable and well-sequenced with strong validation discipline, but SKILL.md is a lengthy monolith with some repetition between sections and limited use of bundle files to defer detail.
Suggestions
Consolidate the overlap between 'Quick Start' and 'Basic Workflow' — keep a single concise end-to-end example and link the rest, to improve token efficiency.
Move the larger detail blocks (e.g. the full 'Planning Parallel Tasks (DAG)' walkthrough and 'AI-Assisted TODO Workflow') into a reference file and leave a short summary plus a clearly signaled link, advancing progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and action-oriented with concrete bash blocks, but it repeats material between the Quick Start and Basic Workflow sections and carries some explanatory prose that could be tightened, so it is not the lean level-3 case. | 2 / 3 |
Actionability | Provides fully executable, copy-paste-ready commands throughout (jj-todo-create, jj-flag-update, jj-todo-next --mark-as done, jj log revsets) backed by real scripts in scripts/, matching the executable-and-specific anchor. | 3 / 3 |
Workflow Clarity | Multi-step processes are clearly sequenced (numbered Quick Start, Basic Workflow 1-3) with explicit validation checkpoints ('Verify ALL acceptance criteria met', 'FIRST: make check ... ONLY if all checks pass') and a stop-and-report feedback loop, avoiding the destructive/batch cap at 2. | 3 / 3 |
Progressive Disclosure | It has a well-signaled one-level reference (references/parallel-agents.md) and a clear scripts table, but the SKILL.md itself is a long monolithic body with status tables, DAG planning, AI-agent guidance and tips all inline that could be split out, so it does not reach the clean overview-plus-references level. | 2 / 3 |
Total | 10 / 12 Passed |