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arn-code-batch-implement

This skill should be used when the user says "batch implement", "implement all", "batch execution", "implement all features", "parallel implement", "implement in parallel", "arness batch implement", "arn-code-batch-implement", "run batch implementation", "implement everything", "launch batch workers", or wants to spawn parallel worktree-isolated background agents to implement multiple pending features simultaneously. Each worker runs as a full independent session with all tools. This skill requires pending plans in .arness/plans/ — run arn-code-batch-planning first if none exist.

68

Quality

83%

Does it follow best practices?

Impact

No eval scenarios have been run

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 orchestration skill with excellent workflow clarity and actionability — it provides precise commands, clear decision trees, and robust error handling for a complex parallel execution scenario. Its main weakness is length: at ~300 lines with detailed inline algorithms for edge cases (slug collisions, stale worktree recovery, findings aggregation), it could benefit from extracting some procedural detail into reference files to improve conciseness and progressive disclosure.

Suggestions

Extract the detailed collision-handling algorithm (Step 4a) and retry procedure (Step 6) into reference files (e.g., references/collision-handling.md, references/retry-deferred.md) to reduce the main skill's token footprint.

Consider moving the Step 6.5 aggregation logic (findings table format, issue creation commands, choice handling) into a separate reference file, keeping only the high-level flow in the main skill.

DimensionReasoningScore

Conciseness

The skill is quite long (~300 lines) with extensive detail on edge cases like slug collisions, stale worktree metadata, and retry logic. While most content is necessary for a complex orchestration skill, some sections are verbose — the worked example in Step 6, the detailed collision-handling algorithm in Step 4a, and the full aggregation table format could be tightened. However, it avoids explaining concepts Claude already knows and stays focused on domain-specific logic.

2 / 3

Actionability

The skill provides concrete, executable bash commands (git worktree add, git rev-parse, git status --porcelain), specific parameter configurations for Agent tool calls (isolation, run_in_background), exact prompt templates with named placeholders, and precise status values. The guidance is copy-paste ready with clear variable substitution patterns.

3 / 3

Workflow Clarity

The workflow is exceptionally well-sequenced with numbered steps (0-7), explicit validation checkpoints (pre-flight validation, worktree verification, git pull), clear error recovery paths (deferred set, retry logic with prune), user confirmation gates via AskUserQuestion at multiple decision points, and a feedback loop for failed features. The ready/deferred split with sequential retry is a well-designed error recovery pattern.

3 / 3

Progressive Disclosure

The skill references external files appropriately (preflight-validation.md, worker-instructions.md, step-0-fast-path.md) for delegated logic, which is good progressive disclosure. However, the main SKILL.md itself is very long with substantial inline detail — the collision-handling algorithm in Step 4a, the full retry procedure in Step 6, and the aggregation logic in Step 6.5 could potentially be extracted to reference files. No bundle files were provided to verify the referenced paths exist.

2 / 3

Total

10

/

12

Passed

Description

89%

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 excels at trigger term coverage and completeness, providing an extensive list of activation phrases and clearly stating both what the skill does and when to use it. The specificity of capabilities could be slightly improved by listing more concrete actions beyond parallel implementation, but the description is functional and distinctive. The prerequisite dependency note adds useful context for proper skill sequencing.

DimensionReasoningScore

Specificity

The description mentions spawning parallel worktree-isolated background agents to implement multiple pending features simultaneously, and that each worker runs as a full independent session with all tools. It names the domain and some actions but doesn't list multiple concrete distinct actions beyond 'implement features in parallel'.

2 / 3

Completeness

The description clearly answers both 'what' (spawn parallel worktree-isolated background agents to implement multiple pending features simultaneously) and 'when' (explicit trigger phrases listed, plus the condition about pending plans in .arness/plans/). It also includes a prerequisite dependency note.

3 / 3

Trigger Term Quality

The description includes an extensive list of natural trigger phrases users would say: 'batch implement', 'implement all', 'batch execution', 'implement all features', 'parallel implement', 'implement in parallel', 'implement everything', 'launch batch workers', plus tool-specific identifiers. This provides excellent coverage of variations.

3 / 3

Distinctiveness Conflict Risk

The description is highly distinctive with very specific trigger terms like 'batch implement', 'arness batch implement', 'arn-code-batch-implement', and the unique concept of worktree-isolated parallel agents. It's unlikely to conflict with other skills due to its narrow, well-defined niche.

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
AppsVortex/arness
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.