RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
40
40%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
17%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 architecture document heading rather than a skill description. It relies heavily on technical jargon without explaining concrete actions or providing trigger guidance for when Claude should select it. Users seeking help with task orchestration, parallel execution, or workflow management would likely not match against these terms.
Suggestions
Add a 'Use when...' clause with natural trigger terms like 'orchestrate tasks', 'run parallel workflows', 'manage task dependencies', 'multi-step pipeline'.
Replace or supplement jargon with concrete actions: e.g., 'Breaks down complex tasks into a directed acyclic graph of subtasks, executes them via multiple agents, and enforces quality checks before merging results.'
Include examples of user requests that should trigger this skill, such as 'when the user wants to coordinate multiple agents working on related subtasks' or 'when implementing a multi-step workflow with dependencies'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names several domain-specific concepts (DAG execution, quality gates, merge queues, work unit orchestration) but these are technical jargon rather than concrete user-facing actions. It doesn't describe what specific tasks a user would accomplish. | 2 / 3 |
Completeness | There is no 'Use when...' clause or equivalent trigger guidance. The 'what' is expressed only in abstract architectural terms without explaining what it concretely does for the user, and the 'when' is entirely missing. | 1 / 3 |
Trigger Term Quality | The terms used ('RFC-driven', 'DAG execution pattern', 'quality gates', 'merge queues', 'work unit orchestration') are highly technical jargon that users are unlikely to naturally say when requesting help. A user would more likely say things like 'run tasks in parallel', 'orchestrate workflow', or 'manage dependencies'. | 1 / 3 |
Distinctiveness Conflict Risk | The combination of RFC-driven, DAG, quality gates, and merge queues is fairly specific to a particular orchestration pattern, but the description is abstract enough that it could overlap with general workflow or CI/CD skills. The jargon-heavy phrasing makes it somewhat distinctive but not clearly scoped. | 2 / 3 |
Total | 6 / 12 Passed |
Implementation
35%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a high-level conceptual framework for RFC-driven multi-agent orchestration but lacks the concrete, executable guidance needed to be actionable. The pipeline stages and unit spec template are reasonable structural elements, but without actual code, commands, templates, or worked examples, Claude would struggle to execute this workflow. The skill reads more like an architectural overview than an operational guide.
Suggestions
Add a concrete, complete example of an RFC being decomposed into work units with actual file paths, dependency graph, and acceptance test definitions—not just field names.
Provide executable commands or tool invocations for each pipeline stage (e.g., how to create a unit branch, how to run validation, how to generate the merge-ready report).
Include a worked example showing the full lifecycle of at least one work unit from RFC intake through merge, with explicit validation checkpoints and pass/fail criteria.
Split detailed stage-specific guidance into separate referenced files (e.g., DECOMPOSITION.md, MERGE_QUEUE.md) and keep SKILL.md as a concise overview with clear links.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is relatively lean and avoids explaining concepts Claude already knows, but some sections like 'Complexity Tiers' and 'Outputs' are somewhat vague filler that don't add actionable value. The overall structure is reasonably tight but could be tightened further. | 2 / 3 |
Actionability | The skill is almost entirely abstract description with no concrete code, commands, or executable examples. It describes a process conceptually (e.g., 'DAG decomposition', 'unit assignment') but never shows how to actually do any of it—no file templates, no command invocations, no tool usage, no concrete examples of an RFC or work unit. | 1 / 3 |
Workflow Clarity | The pipeline stages are listed in sequence and the quality pipeline per unit provides a clear sub-sequence. The merge queue rules and recovery section add some validation/feedback loop structure. However, validation checkpoints are implicit rather than explicit, and there's no concrete guidance on how to verify each stage before proceeding to the next. | 2 / 3 |
Progressive Disclosure | The content is organized into clear sections with headers, which aids navigation. However, for a complex multi-stage pipeline like this, detailed guidance for each stage should be split into separate referenced files. Everything is inline with no references to deeper documentation, yet the content is too shallow to stand alone. | 2 / 3 |
Total | 7 / 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.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
Reviewed
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