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github-workflow-automation

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

49

2.41x
Quality

27%

Does it follow best practices?

Impact

87%

2.41x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./.claude/skills/github-workflow-automation/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

32%

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 relies heavily on buzzwords ('advanced', 'intelligent', 'comprehensive', 'AI swarm coordination') without explaining concrete capabilities or when to use the skill. While it correctly identifies the GitHub Actions domain, it lacks the specificity and explicit trigger guidance needed for reliable skill selection among many options.

Suggestions

Add an explicit 'Use when...' clause with trigger terms like 'GitHub Actions', 'workflow YAML', 'CI/CD pipeline', '.github/workflows', 'build automation', 'deployment pipeline'.

Replace vague qualifiers ('advanced', 'intelligent', 'comprehensive') with concrete actions like 'create and debug GitHub Actions workflows, configure build/test/deploy pipelines, manage workflow triggers and secrets'.

Clarify or remove 'AI swarm coordination' — either explain what it concretely does or drop it, as it reads as buzzword fluff and could cause incorrect skill matching.

DimensionReasoningScore

Specificity

Names the domain (GitHub Actions) and some actions (workflow automation, CI/CD pipelines, repository management), but uses vague qualifiers like 'advanced', 'intelligent', and 'comprehensive' rather than listing concrete specific actions. 'AI swarm coordination' is buzzwordy without explaining what it actually does.

2 / 3

Completeness

Describes what it does (albeit vaguely) but completely lacks any 'Use when...' clause or explicit trigger guidance. Per the rubric, a missing 'Use when...' clause should cap completeness at 2, and since the 'what' is also vague with buzzwords, this scores a 1.

1 / 3

Trigger Term Quality

Includes some relevant keywords like 'GitHub Actions', 'CI/CD pipelines', and 'repository management' that users might naturally say. However, it misses common variations like 'workflows', '.github', 'YAML workflows', 'build pipeline', 'deploy', 'pull request checks', or 'actions.yml'.

2 / 3

Distinctiveness Conflict Risk

The mention of 'GitHub Actions' provides some specificity, but 'CI/CD pipelines' and 'repository management' are broad enough to overlap with general DevOps, Git, or deployment skills. 'AI swarm coordination' is unclear and could conflict with other AI orchestration skills.

2 / 3

Total

7

/

12

Passed

Implementation

22%

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

This skill is extremely bloated and repetitive, listing numerous nearly-identical swarm modes and workflow templates without meaningful differentiation. It lacks any validation checkpoints or error recovery steps despite covering destructive batch operations and complex CI/CD pipelines. The commands reference tools that appear hypothetical, undermining true actionability despite the appearance of concrete code examples.

Suggestions

Cut content by at least 60%: consolidate the 8 nearly identical 'modes' into a single table, remove explanatory bullet points (Coordination Mode, Max Parallel Operations) that add no actionable value, and keep only 2-3 representative workflow templates with the rest in a separate TEMPLATES.md file.

Add explicit validation and error recovery steps to all multi-step workflows—especially the deployment, release, and batch operation sections. For example, after generating a workflow file, add a step to validate it with `actionlint` before committing.

Clarify the status and availability of referenced tools (`ruv-swarm`, `claude-flow@alpha`, `ruvnet/swarm-action@v1`)—if these are real, link to their documentation and version requirements; if hypothetical, reframe as patterns rather than copy-paste commands.

Move the command reference, all workflow templates, and the integration checklist into separate referenced files to keep SKILL.md as a concise overview with clear navigation pointers.

DimensionReasoningScore

Conciseness

Extremely verbose at 700+ lines with massive amounts of repetitive content. Many sections show slight variations of the same pattern (spawn swarm, run command). The skill explains concepts Claude already knows (what CI/CD is, what caching does) and lists 8 nearly identical 'modes' with bullet-point metadata that adds little actionable value. Most content could be cut by 70%+ without losing information.

1 / 3

Actionability

Commands and YAML snippets are provided throughout, but they reference tools (`ruv-swarm`, `claude-flow@alpha`, `ruvnet/swarm-action@v1`) that appear to be hypothetical or alpha-stage, making them not truly executable or verifiable. The code examples look plausible but are essentially pseudocode dressed as real commands—there's no way to confirm these tools/flags actually exist or work as shown.

2 / 3

Workflow Clarity

Despite showing multi-step workflows (CI/CD pipelines, deployment), there are no validation checkpoints, error recovery steps, or feedback loops anywhere. The self-healing pipeline template is the closest to validation but delegates everything to a magic `--auto-fix-common` flag. Batch operations like creating multiple issues/PRs have no verification steps. For destructive/batch operations this caps at 1.

1 / 3

Progressive Disclosure

The skill uses HTML `<details>` tags for collapsible sections, which is a reasonable progressive disclosure technique. However, the sheer volume of inline content (8 workflow templates, 8 modes, extensive command references) should have been split into separate reference files. The 'Related Skills' section at the bottom references other skills but the main body is still a monolithic wall of content behind accordions.

2 / 3

Total

6

/

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.

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (1066 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

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

Warning

Total

9

/

11

Passed

Repository
ruvnet/agentic-flow
Reviewed

Table of Contents

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