opener-variator — community opener-variator, research-units-pipeline-skills, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Language Agents requiring advanced content rewriting capabilities, specifically for H3 first paragraph rewrites. Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.

WILLOSCAR WILLOSCAR
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The opener-variator skill by WILLOSCAR is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Language Agents requiring advanced content rewriting capabilities, specifically for H3 first paragraph rewrites.

Core Value

Empowers agents to rewrite high-signal automation tells, replacing overview narration with content-bearing framing, while keeping argument moves and citations intact, utilizing evidence-first methodology and semantic execution units.

Capabilities Granted for opener-variator

Rewriting H3 first paragraphs for improved content clarity
Automating overview narration replacement with structured intermediate artifacts
Optimizing content for semantic search engines

! Prerequisites & Limits

  • Only rewrites the first paragraph or first 2-4 sentences of flagged H3 files
  • Requires input from 'output/WRITER_SELFLOOP_TODO.md' and referenced section files
Labs Demo

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opener-variator

Install opener-variator, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Opener Variator (H3 first paragraph rewrite)

Purpose: fix a high-signal automation tell that survives structural gates:

  • many H3s begin with the same rhetorical shape
  • "overview" narration replaces content-bearing framing

This skill is intentionally narrow:

  • only rewrite the first paragraph (or first 2–4 sentences) of the flagged H3 files
  • keep the argument moves and citations intact

Inputs

Required:

  • output/WRITER_SELFLOOP_TODO.md (Style Smells section)
  • the referenced sections/S<sub_id>.md files

Optional (helps you stay aligned):

  • outline/writer_context_packs.jsonl (use opener_mode, tension_statement, thesis)

Outputs

Note: keep this as an openers-last pass. Run it after paragraph-curator so you do not keep rewriting paragraph 1 while the body is still changing.

  • Updated sections/S<sub_id>.md files (still body-only; no headings)

Workflow (route from the self-loop report)

  1. Open output/WRITER_SELFLOOP_TODO.md and locate ## Style Smells.
  2. Treat the flagged sections/S*.md list as the only scope for this pass.
  3. For each flagged file:
    • Optional: look up its entry in outline/writer_context_packs.jsonl and read opener_mode / tension_statement / thesis to stay aligned.
    • Rewrite only the opener paragraph (or first 2-4 sentences). Preserve meaning and citation keys.
    • Best-of-3 opener sampling (recommended): draft 2-3 candidate opener paragraphs (different opener modes), then keep the one that is most content-bearing and least repetitive across H3s.
  4. Rerun writer-selfloop and confirm the Style Smells list shrinks.

Role prompt: Opener Editor (paper voice)

text
1You are rewriting the opening paragraph of a survey subsection. 2 3Goal: 4- replace narration/overview openers with a content-bearing framing 5- vary opener cadence across subsections so the paper reads authored 6 7Constraints: 8- do not invent facts 9- do not add/remove/move citation keys 10- do not change the subsection’s thesis 11 12Checklist: 13- sentence 1 is content-bearing (tension/decision/failure/protocol/contrast), not “what we do in this section” 14- paragraph 1 ends with a clear thesis/takeaway 15- no slide navigation (“Next, we…”, “In this subsection…”, “This section provides an overview…“)

What to delete (high-signal narration)

Rewrite immediately if the opener contains any of:

  • “This section/subsection provides an overview …”
  • “In this section/subsection, we …”
  • “This subsection surveys/argues …”
  • “Next, we move/turn …”
  • repeated opener labels (“Key takeaway:” spam)

What to replace with (opener moves)

Pick one opener mode per H3 (the writer pack may suggest opener_mode). Do not copy labels; write as natural prose.

Allowed opener moves (choose 1; keep it concrete):

  • Tension-first: state the real trade-off; why it matters; end with thesis.
  • Decision-first: frame the builder’s choice under constraints; end with thesis.
  • Failure-first: start from a failure mode that motivates the lens; end with thesis.
  • Protocol-first: start from comparability constraints (budget/tool access); end with thesis.
  • Contrast-first: open with an A-vs-B sentence, then explain why; end with thesis.
  • Lens-first: state the chapter lens and narrow to this subsection’s question.

Mini examples (paraphrase; do not copy)

Bad (overview narration):

  • This subsection provides an overview of tool interfaces for agents.

Better (content-bearing):

  • Tool interfaces define what actions are executable; interface contracts therefore determine which evaluation claims transfer across environments.

Bad (process narration):

  • In this subsection, we discuss memory mechanisms and then review retrieval methods.

Better (tension-first):

  • Memory improves long-horizon coherence, but it also expands the failure surface: retrieval can be stale, wrong, or adversarial, and agents rarely know which.

Done checklist

  • No flagged file starts with “overview/narration” stems.
  • Paragraph 1 ends with a thesis/takeaway (same meaning).
  • Citation keys are unchanged (no adds/removes/moves).
  • writer-selfloop still PASSes and Style Smells shrink.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is opener-variator?

Perfect for Language Agents requiring advanced content rewriting capabilities, specifically for H3 first paragraph rewrites. Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.

How do I install opener-variator?

Run the command: npx killer-skills add WILLOSCAR/research-units-pipeline-skills. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for opener-variator?

Key use cases include: Rewriting H3 first paragraphs for improved content clarity, Automating overview narration replacement with structured intermediate artifacts, Optimizing content for semantic search engines.

Which IDEs are compatible with opener-variator?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for opener-variator?

Only rewrites the first paragraph or first 2-4 sentences of flagged H3 files. Requires input from 'output/WRITER_SELFLOOP_TODO.md' and referenced section files.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add WILLOSCAR/research-units-pipeline-skills. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use opener-variator immediately in the current project.

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