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.

v0.3.0#

• Removed all hardcoded ~/clawd/* paths in artifact-search roots; replaced with ~/.openclaw/* equivalents so the skill runs correctly on any OpenClaw installation.
• Added run_agent_role.js with shared agent-role dispatch logic (programmer/reviewer/tester).
• Added full repair/scanner script suite: equation coverage repair, instruction leak repair, notation coverage repair, strategy placeholder repair, equation coverage scanner, slide symbol scanner, and coverage status.
• Enhanced deck_language_render_guards.js for output language constraints.
• All 15 JS scripts pass node -c syntax verification.

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#

bash

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.

Agent setup (required for default --agent-cmd)#

The default agent command uses {role} which maps to three agent IDs:

PhaseAgent ID1-5programmer6reviewer7tester

These are not standard OpenClaw agent IDs — they must be configured in the user's ~/.openclaw/openclaw.json under agents.list. A minimal configuration example:

json

{
  "agents": {
    "list": [
      { "id": "main", ... },
      {
        "id": "programmer",
        "name": "Programmer",
        "model": { "primary": "your-model" },
        "workspace": "/path/to/workspace"
      },
      {
        "id": "reviewer",
        "name": "Reviewer",
        "model": { "primary": "your-model" },
        "workspace": "/path/to/workspace"
      },
      {
        "id": "tester",
        "name": "Tester",
        "model": { "primary": "your-model" },
        "workspace": "/path/to/workspace"
      }
    ]
  }
}

Alternatives#

• --no-agent: skip all agent invocations and write prompt files only. Useful for inspection or manual execution.
• Custom --agent-cmd: provide your own command, e.g. --agent-cmd 'openclaw agent --agent main --message "$(cat {prompt})"' to route all phases through a single agent.

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#

Pipeline runner#

• scripts/run_beamer_public.js: public seven-phase runner with pluggable agent execution.
• scripts/run_agent_role.js: shared agent-role logic for programmer/reviewer/tester phases.
• scripts/beamer_phase_blueprint.js: 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.

Repair scripts (auto-fix specific quality issues)#

• scripts/deck_equation_coverage_repair.js: repairs unresolved equation coverage entries.
• scripts/deck_instruction_leak_repair.js: removes scaffold/internal instruction leakage from slide text.
• scripts/deck_notation_coverage_repair.js: repairs missing or inconsistent notation coverage.
• scripts/deck_strategy_placeholder_repair.js: replaces strategy placeholders with concrete content.

Scanner scripts (detect quality issues)#

• scripts/deck_equation_coverage_scanner.js: scans for equation coverage gaps.
• scripts/slide_symbol_scanner.js: scans for symbol definition/usage inconsistencies.
• scripts/coverage_status.js: computes coverage status across equation/notation/formal-statement dimensions.

Shared utilities#

• scripts/deck_symbol_canonicalization.js: shared symbol canonicalization helper.
• scripts/deck_language_render_guards.js: render guard constraints for output language.
• 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.