Skillquality 0.47

draft

Writes a complete IMRaD-structured academic paper draft (Abstract, Introduction, Related Work, Methods, Results, Discussion, Conclusion, References) from the user's notes, documents, and wiki content. Use when the user asks to write a paper, create a manuscript, generate a draft,

Price
free
Protocol
skill
Verified
no

What it does

Paper Draft Generation

Generate a complete IMRaD-structured academic paper draft from research notes and documents.

IMRaD Structure

SectionPurposeLength
AbstractBackground, objective, methods, findings, conclusions250–300 words
IntroductionProblem, motivation, gap, contribution400–600 words
Related WorkPrior literature organized by theme500–800 words
MethodsHow the research was/will be conducted400–600 words
ResultsWhat was found (or projected findings)300–500 words
DiscussionInterpretation, implications, limitations400–600 words
ConclusionSummary, contributions, future work200–300 words
ReferencesAll cited sourcesAs needed

Workflow

  1. Gather content — read all provided notes, wiki pages, and documents
  2. Identify the core contribution — what is new and why does it matter?
  3. Map citations — track which sources support which claims
  4. Draft section by section — follow IMRaD order
  5. Add inline citations — use [Author, Year] or [Source Title] format
  6. Flag gaps — mark sections needing real data with > ⚠️ [PROJECTED — add empirical data]

Citation format

Use the actual title or author of notes/documents you read:

Predictive coding theory proposes... [Rao & Ballard, 1999]

At the end, add a References section listing all cited sources.

Handling missing data

When the research doesn't have empirical results yet, write projected results based on the hypotheses — but clearly mark them:

> ⚠️ **Projected Results** — Replace with actual experimental data before submission.

Based on the experimental design, we expect...

Quality checklist

  • Abstract covers all 5 components (background, objective, methods, findings, conclusions)
  • Introduction ends with a clear statement of contribution
  • Every major claim has an inline citation
  • Methods section is specific enough to reproduce
  • Discussion addresses alternative interpretations
  • Limitations section is honest, not defensive

Capabilities

skillsource-richard-kim-79skill-drafttopic-academictopic-agent-skillstopic-claudetopic-hypothesistopic-peer-reviewtopic-researchtopic-science

Install

Installnpx skills add richard-kim-79/archora-skills
Transportskills-sh
Protocolskill

Quality

0.47/ 1.00

deterministic score 0.47 from registry signals: · indexed on github topic:agent-skills · 37 github stars · SKILL.md body (2,163 chars)

Provenance

Indexed fromgithub
Enriched2026-05-18 18:58:32Z · deterministic:skill-github:v1 · v1
First seen2026-05-15
Last seen2026-05-18

Agent access