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outline-budgeter预算大纲

Agent Skill

outline-budgeter 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

706

周安装

30

GitHub Stars

422

下载量

247
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:outline-budgeter(预算大纲)
来源仓库:https://github.com/willoscar/research-units-pipeline-skills
仓库路径:skills/outline-budgeter
安装命令:
npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill outline-budgeter
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill outline-budgeter

简介

outline-budgeter 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于项目预算规划、成本估算或资源分配方案设计等场景。
  • 通过关键词匹配返回预算模型、费用结构或使用案例。
  • 安装命令为 npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill outline-budgeter。
  • 使用前请确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。

SKILL.md

Outline Budgeter (NO PROSE)

Purpose: prevent the most common survey failure mode: H3 explosion (too many tiny subsections) leading to a thin, outline-like PDF.

This skill rewrites outline/outline.yml into a paper-like budget:

  • Final ToC target: ~6–8 H2 sections (Intro / Related Work + 3–4 core chapters + Discussion + Conclusion)
  • H3 target: fewer, thicker subsections (per draft_profile: survey<=10, deep<=12)

Important: Discussion/Conclusion are appended in C5 merge (global sections), so the *outline itself* should usually be <=6 H2.

Inputs

  • outline/outline.yml
  • Optional (helps make merges evidence-aware):

- queries.md (optional: if it sets draft_profile, use it to choose the H3 budget) - outline/mapping.tsv - outline/coverage_report.md - GOAL.md

Outputs

  • outline/outline.yml (updated in place)
  • outline/OUTLINE_BUDGET_REPORT.md (bullets-only; what was merged and why)

Workflow (NO PROSE)

  1. Read the outline and compute a simple budget snapshot:
  • If queries.md sets draft_profile (survey/deep), use it to decide the H3 budget target.
  • H2 count (excluding Discussion/Conclusion, which are not in the outline)
  • Total H3 count
  • H3 count per H2 chapter
  1. Decide a merge plan (structure-first, evidence-aware):
  • Prefer merging *adjacent* H3s that share similar axes/keywords.
  • Prefer merging H3s with weak mapping coverage (if mapping.tsv exists).
  • If outline/coverage_report.md exists (from outline-refiner), use it to identify weak-coverage or high-reuse subsections to merge.
  • Use GOAL.md as the scope constraint: avoid merges that mix distinct research questions or scope boundaries.
  • Prefer moving fine-grained distinctions into bullets/axes instead of creating new subsections.
  1. Apply merges in outline/outline.yml:
  • Merge titles into a clearer, thicker subsection title.
  • Merge bullets (dedupe templates; keep Stage A fields: Intent/RQ/Evidence needs/Expected cites).
  • Keep ids stable when possible.

- If you must change ids, record it explicitly in the report and assume mapping.tsv must be regenerated.

  1. Write outline/OUTLINE_BUDGET_REPORT.md:
  • Before/after counts.
  • List of merges (old ids/titles -> new id/title).
  • Any risks (e.g., mapping reset required).

Quality checklist

  • No placeholders (TODO//(placeholder)).
  • Outline budget matches the paper-like target.
  • Each remaining H3 is thick enough to sustain evidence-first writing (its bullets mention concrete comparisons + eval anchors + failure modes).

Troubleshooting

Issue: merging makes a subsection too broad

Fix:

  • Keep one H3, but split its bullets into explicit comparison axes and required evidence fields; defer fine-grained splits to later if evidence is strong enough.

Issue: mapping breaks after id changes

Fix:

  • Rerun section-mapper to regenerate outline/mapping.tsv, then rerun outline-refiner.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

28.38%
按下载量换算70

Gemini CLI

21.66%
按下载量换算54

Cursor

15.79%
按下载量换算39

Codex

12.66%
按下载量换算31

OpenCode

6.36%
按下载量换算16

Antigravity

3.32%
按下载量换算8

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权限和风险

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安装前确认

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来源信息

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