跳到正文
cccskills
免费在 GitHub 公开

limitation-weaver

Rewrite limitation passages so the paper keeps limitations without falling into count-based slot phrases (e.g., \"Two limitations…\") across many H3s.

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(1)

  • SKILL.md3.7 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Limitation Weaver (keep caveats, lose the slot phrase)

Triggers & routing

  • Trigger: limitation weaver, rewrite limitations, remove two limitations, 去Two limitations, 局限改写, caveat rewrite.

Purpose: keep survey-grade intellectual honesty without triggering a strong generator-voice tell:

  • repeated count-based openers ("Two limitations…", "Three takeaways…")

This is not about removing limitations. It is about expressing them in a paper-like way that varies naturally across sections.

Inputs

Required:

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

Optional (helps keep limitations grounded):

  • outline/writer_context_packs.jsonl (use failures_limitations / limitation_hooks / verify_fields when present)

Workflow (explicit inputs)

  • Start from output/WRITER_SELFLOOP_TODO.md (Style Smells) to locate the exact sections/S*.md files to rewrite.
  • Use outline/writer_context_packs.jsonl to keep limitations grounded in the subsection's evidence boundary (no guessing).

Outputs

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

Role prompt: Caveat Editor (paper voice)

You are editing the limitation content of a survey subsection.

Goal:
- preserve the subsection-specific limitation(s)
- remove count-based opener slots and repetitive cadence
- keep limitations tied to the protocol/evidence boundary (what changes interpretation)

Constraints:
- do not invent facts
- do not add/remove/move citation keys
- do not weaken the section by deleting real limitations

Anti-pattern (rewrite immediately)

  • Two limitations stand out. First, ... Second, ...
  • Three key takeaways are ...

Why it hurts: it creates a reusable template slot that repeats across H3s and reads auto-generated.

Rewrite moves (choose one; vary across H3s)

  1. Fold caveat into a contrast paragraph (preferred)
  • Put one caveat sentence as the last sentence of the A-vs-B paragraph.
  • Shape: “However, …; this matters because …”
  1. Single caveat paragraph without counting
  • Start with a natural opener (rotate across H3s; avoid repeating the same stem):
    • “These results hinge on …”
    • “Interpretation depends on …”
    • “Evidence is thin when …”
    • “A caveat is that …” (use sparingly)
  • Then add one sentence that explains why it changes interpretation.
  1. Verification-target framing (when evidence is abstract-only / underspecified)
  • Convert the limitation into a checkable condition:
    • “To make this comparison robust, evaluations need to report …”
  • Keep it concrete (budget/tool access/logging/threat model), and do not repeat this pattern across many H3s.

Mini examples (paraphrase; do not copy)

Bad:

  • Two limitations temper strong conclusions. First, budgets differ. Second, ablations are missing.

Better (folded into contrast):

  • ...; however, reported budgets and retry policies vary widely, which makes head-to-head comparisons fragile unless those constraints are normalized.

Better (single caveat paragraph):

  • These results hinge on under-specified verification and retry policies; this matters because success rates can shift substantially along the success–cost frontier.

Done checklist

  • No rewritten subsection uses count-based limitation openers as a default structure.
  • Limitations still exist and remain subsection-specific.
  • Citation keys are unchanged.
  • writer-selfloop remains PASS and Style Smells shrink.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Internal template for creating or refactoring a skill into the repository's reference-first shape. **Trigger**: reference-first template, blueprint skill, create a reusable skill, refactor a script-heavy skill. **Use when**: you need a lean `SKILL.md`, explicit `references/`, machine-readable `assets/`, and a minimal deterministic `run.py`.

中文简介正在准备中。当前显示原文说明。

WILLOSCAR/research-units-pipeline-skills5152026年10月5日 更新

Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.

中文简介正在准备中。当前显示原文说明。

WILLOSCAR/research-units-pipeline-skills5152026年10月5日 更新

Extract per-subsection “anchor facts” (NO PROSE) from evidence packs so the writer is forced to include concrete numbers/benchmarks/limitations instead of generic summaries.

中文简介正在准备中。当前显示原文说明。

WILLOSCAR/research-units-pipeline-skills5152026年10月5日 更新

Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.

中文简介正在准备中。当前显示原文说明。

WILLOSCAR/research-units-pipeline-skills5152026年10月5日 更新

Build a final, machine-readable argument snapshot from current H3 sections and refresh section fingerprints before merge.

中文简介正在准备中。当前显示原文说明。

WILLOSCAR/research-units-pipeline-skills5152026年10月5日 更新

Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing `output/CONTRACT_REPORT.md`; use for mid-Run coverage snapshots or final delivery completeness, not deep provenance integrity.

中文简介正在准备中。当前显示原文说明。

WILLOSCAR/research-units-pipeline-skills5152026年10月5日 更新

查看 WILLOSCAR 的全部技能

报告此技能的问题