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ai-content-collaboration

How humans and AI compose in content workflows. Where AI legitimately participates, where humans must own, hybrid workflow patterns, voice ownership preservation, the AI slop problem, disclosure and transparency, team calibration, and the ethics of intellectually honest AI-assisted content production. Triggers on AI content workflow, AI-assisted writing, hybrid content production, AI in editorial, AI slop, AI disclosure, AI usage policy, AI content ethics, voice preservation with AI, team AI calibration. Also triggers when content feels generic despite quality tools, when team AI usage has drifted into inconsistency, or when a regulated or trust-sensitive context requires explicit AI policy.

68

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is ai-content-collaboration in rampstackco/claude-skills

SKILL.md
Quality
Evals
Security

Quality

Content

71%Weight 40%Scale 1-5

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

A well-structured methodology playbook with excellent progressive disclosure (overview body pointing to one-level-deep reference files) and concrete actionable patterns. Its main weakness is conciseness — recurring restatements of the keystone framing across the intro, body, and closing add tokens without adding guidance.

Suggestions

Cut the repeated 'neither magic nor menace' / 'humans own, AI accelerates' restatements: state the keystone framing once in its dedicated section and reference it rather than re-deriving it in the intro, the slop section, and the closing.

Tighten the four-paragraph intro to one or two paragraphs; 'Most content programs in 2026 use AI somewhere' and the tool-agnostic rationale are restated later and can be condensed.

Convert the descriptive prose in 'Humans own, AI accelerates' and 'Where humans must own' into tighter bullet form so the guidance reads as instruction rather than editorial commentary.

DimensionReasoningScore

Conciseness

The body is substantive but noticeably verbose: the intro and closing both restate the "neither magic nor menace" framing and the "humans own, AI accelerates" keystone is repeated across multiple sections, so it could be tightened; not a 2 because the core material is genuinely useful methodology rather than padded concept explanation.

3 / 5

Actionability

Provides concrete guidance — five named hybrid patterns with tradeoffs, tiered disclosure with copy-paste language templates, specific tactics ("Feed the AI 2 to 3 paragraphs of canonical brand voice", "human samples 50 to 200"), and a 12-consideration audit framework; not a 5 because several sections are editorial framing prose rather than instruction.

4 / 5

Workflow Clarity

The 12-consideration framework is a clearly sequenced audit walkthrough, and the closing readiness checklist ("If yes to all… ready. If no to any, the gap is where the program will produce slop") acts as an explicit validation gate; not a 5 because there is no validate→fix→retry feedback loop, though the methodology context does not strictly require one.

4 / 5

Progressive Disclosure

The body is a clear overview with well-signaled one-level-deep references — each major section ends with "Detail in [`references/…`](…)" — and a consolidated Reference files index at the end; all nine cited reference files exist in ./references/, with no nested references, giving easy navigation.

5 / 5

Total

16

/

20

Passed

Description

91%Weight 40%Scale 1-5

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

A strong, well-formed description that concretely names the skill's scope and provides extensive natural trigger phrases covering both explicit keywords and behavioral signals. The only soft spot is minor overlap risk with the sibling content-suite skills it composes with.

DimensionReasoningScore

Specificity

Lists several concrete facets of the skill's scope (participation boundaries, hybrid workflow patterns, voice ownership preservation, the AI slop problem, disclosure and transparency, team calibration, ethics) with only minor coverage gaps; not a 5 because these are topical domains rather than fully enumerated concrete actions.

4 / 5

Completeness

Explicitly answers both what ("How humans and AI compose in content workflows") and when ("Triggers on…" / "Also triggers when…" with concrete trigger phrases), matching the anchor for clearly and explicitly answering both.

5 / 5

Trigger Term Quality

Comprehensive natural trigger phrases a user would actually say ("AI content workflow", "AI-assisted writing", "AI slop", "AI disclosure", "AI usage policy", "team AI calibration") plus behavioral triggers (content feels generic, team AI usage drifted, regulated context), giving broad synonym coverage.

5 / 5

Distinctiveness Conflict Risk

Clear AI-content-collaboration niche with distinct triggers and minimal conflict risk; not a 5 because the skill explicitly composes with six sibling content-suite skills (editorial-qa's AI audit, content-brief-authoring, etc.), leaving minor overlap risk with closely related skills.

4 / 5

Total

18

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
rampstackco/claude-skills
Reviewed

Table of Contents

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