Name: ai-content-collaboration
Rating: 67.2 (1 reviews)
Author: rampstackco

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.

Quality

81%

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Securityby

Passed

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

Quality

Content

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

A well-structured editorial playbook that pushes detail to 9 real reference files and supplies concrete patterns, disclosure templates, and an audit framework. The main weakness is conciseness — repeated framing prose and thesis restatements could be trimmed without losing substance.

Suggestions

Trim recurring editorial framing paragraphs ('The pathology to avoid', 'The honest framing', 'The discipline is in between') that restate the humans-own/AI-accelerates thesis already established in the 'Humans own, AI accelerates' section.

Collapse the 'What this skill is for' composition list and the catalog_summary-style positioning in the intro, which overlap with the 'Where AI legitimately participates' / 'Where humans must own' sections.

Move the rapid-fire 'Common failure modes' diagnoses fully into the existing reference file so the body keeps only the diagnostic labels, reducing inline duplication.

Dimension	Reasoning	Score
Conciseness	Mostly efficient bullet-list sections, but recurring editorializing framing paragraphs ('The pathology to avoid...', 'The honest framing...', 'The discipline is in between') and repeated restatements of the humans-own/AI-accelerates thesis add padding that could be tightened.	3 / 5
Actionability	Concrete, actionable guidance throughout: five named hybrid patterns with tradeoffs, copy-paste disclosure language templates, a 12-consideration audit framework, and failure-mode diagnoses, with only minor gaps where sections stay conceptual.	4 / 5
Workflow Clarity	The 12-consideration framework supplies a clear sequence and the closing readiness checklist acts as an explicit validation gate, though it is a framework walk-through rather than a strict step-by-step procedure with per-step checkpoints.	4 / 5
Progressive Disclosure	Clear overview in SKILL.md with well-signaled one-level-deep references; each of the 9 sections links inline to its reference file ('Detail in references/...') and a consolidated Reference files index lists each with a one-line description. All referenced files exist in ./references/.	5 / 5
	Total	16 / 20 Passed

Description

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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, explicit description that answers what and when with comprehensive trigger coverage and concrete scope areas. Slightly verbose because the what-list and the trigger-list restate overlapping terms, and a few triggers edge into sibling-skill territory.

Dimension	Reasoning	Score
Specificity	Lists several concrete scope areas ('Where AI legitimately participates, where humans must own, hybrid workflow patterns, voice ownership preservation, the AI slop problem, disclosure and transparency, team calibration'), giving comprehensive domain coverage, though framed as workflow areas rather than discrete executable actions.	4 / 5
Completeness	Explicitly answers both what ('How humans and AI compose in content workflows') and when with concrete trigger phrases ('Triggers on...', 'Also triggers when content feels generic despite quality tools...').	5 / 5
Trigger Term Quality	Comprehensive natural-term coverage with synonyms and scenario phrasing ('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') plus situational triggers users would actually say.	5 / 5
Distinctiveness Conflict Risk	Carves a clear workflow-layer niche with distinct triggers, but several terms ('AI slop', 'AI disclosure') have minor overlap risk with sibling skills like editorial-qa.	4 / 5
	Total	18 / 20 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: rampstackco/claude-skills
Path: dist/pi/.agents/skills/ai-content-collaboration/SKILL.md
Commit: a67dd34

Reviewed: 2 days ago

Table of Contents

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