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SkillHub ClubAnalyze Data & AIFull StackData / AI

grad-paragraph

Write one survey-quality paragraph from evidence packs (tension → contrast → evaluation anchor → limitation). **Trigger**: grad paragraph, paragraph micro-structure, argument paragraph, 研究生段落, 论证段落, 对比段, 段落写作. **Use when**: you are drafting `sections/S*.md` (H3 body) and want subsection-specific, evidence-bounded prose instead of templates. **Skip if**: evidence packs are missing/incomplete (fix `subsection-briefs`/`evidence-draft`/`evidence-binder` first), or `Approve C2` is not recorded in `DECISIONS.md`. **Network**: none. **Guardrail**: do not invent facts or citations; no placeholders/ellipsis; keep claims conservative when evidence is abstract-level (avoid repeating evidence-mode boilerplate in every paragraph).

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
334
Hot score
99
Updated
March 20, 2026
Overall rating
C4.1
Composite score
4.1
Best-practice grade
A92.0

Install command

npx @skill-hub/cli install willoscar-research-units-pipeline-skills-grad-paragraph

Repository

WILLOSCAR/research-units-pipeline-skills

Skill path: .codex/skills/grad-paragraph

Write one survey-quality paragraph from evidence packs (tension → contrast → evaluation anchor → limitation). **Trigger**: grad paragraph, paragraph micro-structure, argument paragraph, 研究生段落, 论证段落, 对比段, 段落写作. **Use when**: you are drafting `sections/S*.md` (H3 body) and want subsection-specific, evidence-bounded prose instead of templates. **Skip if**: evidence packs are missing/incomplete (fix `subsection-briefs`/`evidence-draft`/`evidence-binder` first), or `Approve C2` is not recorded in `DECISIONS.md`. **Network**: none. **Guardrail**: do not invent facts or citations; no placeholders/ellipsis; keep claims conservative when evidence is abstract-level (avoid repeating evidence-mode boilerplate in every paragraph).

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: WILLOSCAR.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install grad-paragraph into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/WILLOSCAR/research-units-pipeline-skills before adding grad-paragraph to shared team environments
  • Use grad-paragraph for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.