A token-efficient writing partner that uses bounded research, numbered citations, evidence packets, and parallel sub-agents to outline, draft, and refine high-quality content with minimal context growth.
59
40%
Does it follow best practices?
Impact
94%
1.34xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./.github/skills/content-research-writer/SKILL.mdEvidence packet structure and folder organization
Folder structure prefix naming
0%
20%
Evidence packet file naming
70%
100%
Packet ID field
0%
100%
Target claim field
100%
100%
Evidence bullets cap
0%
100%
Quote cap
100%
100%
Does not prove field
50%
100%
Confidence field
100%
100%
Intended placement field
0%
100%
Citation-ready reference entry
40%
100%
One packet per claim (atomic)
100%
100%
Research brief and source planning
Claims-to-prove count
100%
100%
Claim type labels
0%
100%
Audience definition
100%
100%
Goal and success criteria
100%
100%
Scope boundaries
100%
100%
Voice constraints
100%
100%
Source log file exists
100%
100%
Selected/rejected decisions
100%
100%
First-party source preference
100%
100%
Publication date noted
80%
100%
Citation-first drafting with numbered references
Numbered in-text citations
100%
100%
No uncited factual claim
80%
100%
References section present
100%
100%
Reference entry format: author/org
100%
100%
Reference entry format: date and URL
50%
75%
Reference entry format: accessed date
0%
75%
Evidence packets exist
100%
100%
No large verbatim evidence blocks
100%
100%
Source budget respected
100%
50%
Draft file naming
0%
100%
1e34e1c
Table of Contents
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.