workflow-lite-execute
Lightweight execution engine - multi-mode input, task grouping, batch execution, chain to test-review
39
26%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./.claude/skills/workflow-lite-execute/SKILL.mdQuality
Discovery
9%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 description reads like an internal architecture summary rather than a skill description meant to help Claude select the right tool. It lacks natural trigger terms, concrete user-facing actions, and any guidance on when to use it. The jargon-heavy phrasing makes it nearly impossible to distinguish from other execution or automation skills.
Suggestions
Add a 'Use when...' clause with specific trigger scenarios, e.g., 'Use when the user wants to run multiple tasks in batch, group related tasks, or chain execution with testing and review steps.'
Replace technical jargon with concrete, user-facing actions — instead of 'multi-mode input' and 'lightweight execution engine', describe what a user would ask for, e.g., 'Runs tasks from command-line arguments, file lists, or interactive prompts.'
Specify the domain or context more clearly to reduce conflict risk — what kind of tasks does this execute? Code tasks? Build steps? Data pipelines? Be explicit.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names some actions like 'task grouping', 'batch execution', and 'chain to test-review', but these are fairly abstract and not concrete enough to understand what the skill actually does. 'Lightweight execution engine' and 'multi-mode input' are vague architectural descriptions rather than user-facing capabilities. | 2 / 3 |
Completeness | The description partially addresses 'what' but in vague terms, and completely lacks any 'when' guidance. There is no 'Use when...' clause or equivalent trigger guidance, which per the rubric should cap completeness at 2, but the 'what' is also weak enough to warrant a 1. | 1 / 3 |
Trigger Term Quality | The terms used ('execution engine', 'multi-mode input', 'task grouping', 'batch execution', 'chain to test-review') are technical jargon that users would rarely naturally say. There are no natural language keywords a user would use when needing this skill. | 1 / 3 |
Distinctiveness Conflict Risk | The description is extremely generic — 'execution engine' and 'batch execution' could apply to many different skills. Without clear domain specificity or distinct triggers, this would easily conflict with other task-running or automation skills. | 1 / 3 |
Total | 5 / 12 Passed |
Implementation
42%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill is highly actionable with concrete, executable code throughout, but suffers severely from verbosity - it reads more like a full implementation specification than a skill guide. The monolithic structure with no progressive disclosure means Claude must process ~400+ lines of dense JavaScript to understand what is essentially a 5-step execution workflow. Validation checkpoints within the workflow are insufficient for the complexity of batch execution operations.
Suggestions
Extract data structures, prompt templates, and algorithm implementations into separate reference files (e.g., DATA_STRUCTURES.md, PROMPT_BUILDER.md) and link to them from the main skill
Condense the batch creation and dependency resolution logic to pseudocode or a brief description with a reference to the full implementation file - Claude can follow algorithmic intent without 80 lines of JavaScript
Add explicit validation checkpoints after batch execution completes (e.g., verify all tasks report success before proceeding to code review) to create a proper feedback loop
Remove the redundant Data Structures section at the end since the same information is already present in the code blocks above, or consolidate into a single reference file
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~400+ lines with extensive JavaScript code blocks that could be significantly condensed. Much of the implementation detail (dependency resolution algorithms, batch creation logic, prompt building templates) is internal engine logic that doesn't need to be spelled out line-by-line in a skill file. Data structure documentation at the end repeats information already shown in code above. | 1 / 3 |
Actionability | The skill provides fully concrete, executable code for every step - from input parsing to task grouping, batch execution, code review, and chaining. Commands, function signatures, and tool invocations are all specific and copy-paste ready with no ambiguity about what to do. | 3 / 3 |
Workflow Clarity | The multi-step workflow (Steps 1-5) is clearly sequenced and includes a checkpoint reminder in Step 3. However, validation is weak - there's no explicit verification that execution results are correct before proceeding to code review or test-review handoff. The resume-on-failure handling exists but there's no validate-fix-retry feedback loop for the main execution path. Error handling is a flat table rather than integrated into the workflow steps. | 2 / 3 |
Progressive Disclosure | This is a monolithic wall of text with all implementation details inline. The prompt builder alone is ~50 lines, the batch creation algorithm is ~40 lines, and data structures take another ~40 lines. There are no references to separate files for detailed implementations despite mentioning 'phases/02-lite-execute.md'. Content that should be in reference files (data structures, prompt templates, algorithm details) is all crammed into one document. | 1 / 3 |
Total | 7 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (568 lines); consider splitting into references/ and linking | Warning |
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
Total | 9 / 11 Passed | |
- Repository
- catlog22/Claude-Code-Workflow
- Commit
0f8e801
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.