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section-logic-polisher

section-logic-polisher

github.com/willoscarDocuments51760 installsUpdated 3w ago
Repository

About section-logic-polisher

section-logic-polisher checks and guides revisions to the argument flow of drafted thesis or survey subsections. It flags missing opening theses and reports connector statistics before sections are merged.

Key features

  1. 01Checks for an explicit opening thesis
  2. 02Diagnoses links between paragraphs
  3. 03Produces a PASS/FAIL report
  4. 04Guides revisions using outline context

Use cases

  1. 01Repair subsections that read like isolated paragraphs
  2. 02Check H3 theses before merging sections
  3. 03Strengthen paragraph bridges using the outline

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill section-logic-polisher

After installing, type/section-logic-polisherin Claude Code to confirm it loaded.

Bundled filesscripts/run.py

Details

From the project README

Section Logic Polisher (thesis + argument bridges)

Triggers & routing

  • Trigger: logic polisher, section logic, thesis statement, connectors, 段落逻辑, 连接词, 论证主线, 润色逻辑.
  • Use when: sections/S*.md exist but read like paragraph islands; you want a targeted, debuggable self-loop before section-merger.

Purpose: close the main “paper feel” gap that remains even when a subsection is long and citation-dense:

  • missing/weak thesis (paragraph 1 never commits to a claim)
  • weak inter-paragraph flow (paragraph islands; no content-bearing bridges)

This is a local, per-H3 polish step that happens after drafting and before merging.

Note: if the main problem is paragraph-count overgrowth, run paragraph-curator after this check. It only merges adjacent paragraph boundaries and preserves all prose; semantic redundancy still belongs to the owning writer.

What this skill blocks on (and what it does not)

Blocking (must fix):

  • paragraph 1 lacks an explicit thesis / takeaway (a content claim)

Non-blocking (diagnostic only):

  • connector word counts (e.g., “moreover/however/therefore”). Counts are a proxy for paragraph islands, but forcing them as a quota often creates “generator cadence” (paragraph-initial adverbs). Treat these stats as signals, not goals.

Role prompt: Logic Editor (argument flow)

You are the logic editor for one survey subsection.

Your job is to make the subsection read like a single argument:
- paragraph 1 commits to a clear thesis (content claim)
- each paragraph has an explicit logical relation to the previous one
- bridges are content-bearing (contrast/causal/implication), not slide narration

Constraints:
- do not add new citations
- do not change citation keys
- do not invent facts

Editing lens:
- if a paragraph does not advance the argument (claim/contrast/eval/limitation), compress or delete it
- if a transition is empty, rewrite it as a content-bearing bridge

Inputs

  • sections/ (expects H3 body files like S<sec>_<sub>.md)
  • outline/subsection_briefs.jsonl (use thesis + paragraph_plan[].connector_phrase as intent)
  • Optional: outline/writer_context_packs.jsonl (preferred; has trimmed anchors/comparisons + must_use)

Outputs

  • output/SECTION_LOGIC_REPORT.md (PASS/FAIL for thesis; connector stats shown for diagnosis)

Manual / LLM-first (in place):

  • Update the H3 body files under sections/ (e.g., sections/S<sec>_<sub>.md) to fix thesis/bridges (no new citations; keep keys stable)

Workflow (self-loop)

  1. Run the checker script to surface the exact failing files.

  2. For each failing H3 file:

  • Work on the concrete H3 body file (pattern): sections/S<sec>_<sub>.md

  • Use outline/subsection_briefs.jsonl as the source of truth for the subsection thesis and paragraph-plan intent.

  • If available, prefer outline/writer_context_packs.jsonl to stay aligned with must_use anchors/constraints (no new cites).

  • Thesis (blocking)

    • Make paragraph 1 end with a conclusion-first thesis sentence.
    • Prefer a content claim, not meta narration. Avoid repetitive openers like This subsection argues/surveys ....
    • Minimal shape (3 sentences; paraphrase, don’t copy):
      1. claim / tension
      2. why it matters (protocol/evaluation relevance)
      3. how the subsection will resolve it (what contrasts/anchors it will use)
  • Flow (fix only when needed)

    • Add 1–2 short bridges where paragraphs feel disconnected.
    • Prefer subject-first sentences and mid-sentence glue (because/while/which) over paragraph-start adverbs.
    • Avoid PPT navigation (Next, we ..., We now turn to ...).
  1. Rerun the checker until output/SECTION_LOGIC_REPORT.md is PASS, then proceed to paragraph-curator, evaluation-anchor-checker, the final argument-selfloop snapshot, and merge.

Examples

Thesis signal (paragraph 1)

Bad (topic setup only):

  • Tool interfaces vary across agent systems, and many recent works explore different designs.

Better (conclusion-first claim):

  • A central tension in tool interfaces is balancing expressivity with verifiability; as a result, interface contracts often determine which evaluation claims transfer across environments.

Bad (meta narration):

  • This subsection argues that memory is important for agents.

Better (content claim):

  • Memory designs trade off retrieval reliability against write-time contamination, and this trade-off shows up as distinct failure modes under fixed evaluation protocols.
Bridges (avoid paragraph islands)

Bad (no relation):

  • X does ... (para 2)
  • Y does ... (para 3)

Better (explicit tie):

  • Whereas X optimizes for <axis>, Y shifts the bottleneck to <axis>; under fixed budgets, this changes whether the reported gains reflect better planning or simply more expensive search.

Done criteria

  • output/SECTION_LOGIC_REPORT.md shows - Status: PASS
  • No section file contains placeholders (TODO/…/...) or outline meta markers (Intent:/RQ:/Evidence needs:)
  • Every H3 has a clear paragraph-1 thesis; bridges are added only where flow is actually broken

Script

Quick Start
  • uv run python .codex/skills/section-logic-polisher/scripts/run.py --workspace <workspace>

Notes:

  • The script is a checker; it does not rewrite prose.
  • Connector stats are printed for diagnosis. Do not “write to the counter”; write to the argument.
All Options
  • --workspace <dir>
  • --unit-id <U###>
  • --inputs <semicolon-separated>
  • --outputs <semicolon-separated>
  • --checkpoint <C#>
Examples
  • Default run:

    uv run python .codex/skills/section-logic-polisher/scripts/run.py --workspace <workspace>

  • Explicit output path (rare override; prefer defaults):

    uv run python .codex/skills/section-logic-polisher/scripts/run.py --workspace <workspace> --outputs output/SECTION_LOGIC_REPORT.md

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