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arn-code-batch-merge

This skill should be used when the user says "batch merge", "merge batch", "arness batch merge", "arn-code-batch-merge", "merge all PRs", "merge batch PRs", "merge the batch", "merge implemented features", "batch merge PRs", "merge open PRs", "merge all feature PRs", "combine batch PRs", "land the batch", "land all PRs", or wants to discover open batch implementation PRs, analyze them for conflicts, determine an optimal merge order, and execute merges with user-guided conflict resolution. This skill is typically invoked after arn-code-batch-implement completes and chains to arn-code-batch-simplify upon completion.

79

Quality

100%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

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

The content is well-crafted: concise and executable, with a clearly sequenced multi-step workflow, validation checkpoints and error-recovery feedback loops appropriate for batch merge operations, and proper progressive disclosure via a real one-level reference file.

DimensionReasoningScore

Conciseness

The body is lean and instruction-focused, assuming Claude's competence without explaining basic concepts; every section earns its place with commands or decision logic rather than padding.

3 / 3

Actionability

It provides concrete, executable commands (e.g. `gh pr view <url> --json state`, `gh pr merge <url> --merge`, and a complete worktree-cleanup shell snippet) that are copy-paste ready.

3 / 3

Workflow Clarity

Steps 0-4 are clearly sequenced with explicit validation checkpoints (PR-state verification, analyzer-failure fallback, merge-failure handling) and feedback loops for this batch/merge operation.

3 / 3

Progressive Disclosure

SKILL.md is an overview that signals a single one-level-deep reference (references/conflict-classification.md, which exists as a real file) and delegates sub-skill logic to other skills/agents rather than inlining it.

3 / 3

Total

12

/

12

Passed

Description

100%Weight 40%Scale 1-3

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

The description is strong across all dimensions: it states concrete actions, provides extensive natural trigger terms, explicitly answers both what and when, and occupies a clear niche with low conflict risk. It uses third-person voice throughout.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions: "discover open batch implementation PRs, analyze them for conflicts, determine an optimal merge order, and execute merges with user-guided conflict resolution", matching the score-3 anchor of several specific concrete actions.

3 / 3

Completeness

It opens with "This skill should be used when..." (explicit when) and details the full workflow (what), plus invocation/chaining context, clearly answering both what and when.

3 / 3

Trigger Term Quality

It enumerates a broad set of natural phrases a user would say ("batch merge", "merge all PRs", "land the batch", "merge the batch") giving strong coverage of natural trigger terms.

3 / 3

Distinctiveness Conflict Risk

The batch-PR-merge niche is distinct, the triggers are specific to this sequencer skill, and the stated pipeline position reduces conflict with sibling skills.

3 / 3

Total

12

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
AppsVortex/arness
Reviewed

Table of Contents

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