Token导航 LogoToken导航TokenDH.com
开发执行命令clawhub未标认证来源可访问clear审计提醒

beamer-pipeline-public公共投影仪管道

Agent Skill

beamer-pipeline-public 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

1,542

周安装

63

GitHub Stars

公开资料未说明

下载量

499
OpenClaw

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

2

许可证

MIT-0

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:beamer-pipeline-public(公共投影仪管道)
来源仓库:https://github.com/ccmxigua/beamer-pipeline-public
安装命令:
openclaw skills install beamer-pipeline-public
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install beamer-pipeline-public

简介

使用带有可插入代理执行和 LaTeX 编译的七阶段本地管道将学术论文或笔记转换为中文学术 Beamer 幻灯片。

SKILL.md

Beamer Pipeline Public

Convert academic papers or structured paper notes into a Chinese academic Beamer deliverable through the same seven-phase pipeline shape as the original /beamer shortcut, while keeping the public package free of private Telegram queue, worker, session, and local-path coupling.

What this skill does

This skill provides a publishable, local-first Beamer pipeline runner. It preserves the original seven-stage contract:

  1. analysis / 分析: build analysis.json with paragraph, figure, table, equation, notation, and formal-statement ledgers.
  2. slides_outline_skeleton / slides 大纲: build slides.json with roadmap, conclusion preview, body/appendix split, and slide skeletons.
  3. equation_coverage / 公式覆盖: resolve equation_coverage to concrete slide/frame mappings.
  4. notation_consistency / 记号一致性: resolve notation_coverage, first visible definitions, and cross-slide consistency.
  5. compile_and_structural_repair / 编译与结构修复: produce main.tex, compile or repair main.pdf, and check structural alignment.
  6. review_and_auto_rework / reviewer 审核与自动返工: convert reviewer failures into repair work and revalidate.
  7. final_acceptance_delivery / 终验与交付: package final artifacts and require ready-for-review acceptance fields.

The public runner creates phase prompts, phase logs, state files, workspace contracts, and local validation gates. Agent execution is intentionally pluggable via --agent-cmd so that ClawHub users can attach their own OpenClaw or LLM runtime without shipping Yilin's private Telegram worker/session implementation.

Deliverable folder

The pipeline writes one canonical output directory containing, as phases progress:

  • analysis.json
  • slides.json
  • main.tex
  • main.pdf when LaTeX compilation succeeds
  • README.md
  • asset_manifest.json
  • figures/
  • beamer_task_contract.md
  • beamer_pipeline_state.json
  • beamer_phase_log.jsonl
  • phase_<n>_<name>_prompt.md

Inputs

  • A source document path, usually Markdown converted from a paper, or a paper-note file.
  • An output directory.
  • Optional execution flags for dry-run, single-phase execution, validation, asset preparation, LaTeX command, and agent command.

CLI usage

node scripts/run_beamer_public.js --input paper.md --out out --dry-run
node scripts/run_beamer_public.js --input paper.md --out out --init-only
node scripts/run_beamer_public.js --input paper.md --out out --phase 1 --agent-cmd 'your-agent --prompt {prompt}'
node scripts/run_beamer_public.js --input paper.md --out out --validate-phase 5

Supported options:

  • --init-only: prepare workspace, localized assets, and contract only.
  • --dry-run: print the seven-phase plan and required artifacts.
  • --phase <1-7>: run one phase.
  • --validate-phase <2-6>: validate existing artifacts for a phase gate.
  • --agent-cmd <command>: command used to produce/repair artifacts for each phase.
  • --latex-cmd <command>: LaTeX command for phase 5, default LATEXMK_BIN or latexmk.
  • --skip-assets: skip prepare_task_assets.js.

--agent-cmd placeholders:

  • {prompt}: generated phase prompt file path, shell-quoted.
  • {phase}: phase index.
  • {phaseName}: phase name.
  • {out}: output directory, shell-quoted.
  • {input}: source file path, shell-quoted.

Quality contract

A generated deck should:

  • Preserve all source figures, tables, subfigures, and appendix figures/tables when available.
  • Expand slide count as needed; any target slide count is a lower bound, not a cap.
  • Include a roadmap page and conclusion-preview page.
  • Use formal Chinese academic presentation style.
  • Separate formal statements from intuition when both are needed.
  • Give full faithful Chinese translations for crucial theorem/proposition/lemma/corollary/definition/assumption statements.
  • Keep visible slide text free of internal scaffold labels such as core_message, source_paragraph_ids, paragraph_ledger, 核心信息, 来源段落, 这页负责, and 服务于未读论文听众.
  • Track figure/table/equation/notation/formal-statement coverage explicitly.
  • Define symbols, abbreviations, operators, and hyperparameters on first visible use using source-grounded definitions.

Included scripts

  • scripts/run_beamer_public.js: public seven-phase runner.
  • scripts/beamer_phase_blueprint.js: original seven-phase names, goals, required artifacts, and planned-coverage gates.
  • scripts/prepare_task_assets.js: localizes markdown image URLs into figures/ and writes asset_manifest.json.
  • scripts/beamer_acceptance_contract.js: validates final structured Beamer acceptance fields.
  • scripts/deck_symbol_canonicalization.js: shared symbol canonicalization helper.
  • scripts/slide_schema.js: shared slide/equation block normalization helper.

Dependencies

Required:

  • Node.js 18+ or newer

Optional:

  • A LaTeX distribution such as TeX Live or MacTeX
  • latexmk or xelatex for compiling main.tex to main.pdf
  • An OpenClaw or other agent runtime wired through --agent-cmd

Privacy and portability notes

This public package intentionally excludes:

  • Telegram bot tokens and session targets
  • .openclaw runtime state
  • SQLite task databases
  • launchd worker configuration
  • private OpenClaw runtime/session/database orchestration code
  • executable upstream reference snapshots
  • user-specific logs and caches
  • private source PDFs or historical task outputs

Do not publish generated paper decks unless you have the right to redistribute their source content and figures.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

94.28%
按下载量换算470

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install beamer-pipeline-public 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills