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academic-pipeline

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity…

Skill by LUNARTECH-X

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.

Use cases: data, writing, research, productivity

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/academic-pipeline

What's inside

Skill name
academic-pipeline
Description
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
License
MIT
Metadata
status: active · version: 3.7.0 · task_type: open-ended · depends_on: deep-research, academic-paper, academic-paper-reviewer · last_updated: 2026-05-05 · data_access_level: verified_only
Instructions
578 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • body: 578 lines (spec recommends under 500)

Files (28)

  • SKILL.md
  • collaboration_depth_agent.md · agents/
  • integrity_verification_agent.md · agents/
  • pipeline_orchestrator_agent.md · agents/
  • state_tracker_agent.md · agents/
  • full_pipeline_example.md · examples/
  • integrity_failure_recovery.md · examples/
  • mid_entry_example.md · examples/
  • .gitkeep · references/adapters/
  • overview.md · references/adapters/
  • ai_research_failure_modes.md · references/
  • changelog.md · references/
  • claim_verification_protocol.md · references/
  • external_review_protocol.md · references/
  • integrity_review_protocol.md · references/
  • literature_corpus_consumers.md · references/
  • mode_advisor.md · references/
  • passport_as_reset_boundary.md · references/
  • pipeline_state_machine.md · references/
  • plagiarism_detection_protocol.md · references/
  • process_summary_protocol.md · references/
  • progress_dashboard_template.md · references/
  • reinforcement_content.md · references/
  • reproducibility_audit.md · references/
  • score_trajectory_protocol.md · references/
  • team_collaboration_protocol.md · references/
  • two_stage_review_protocol.md · references/
  • pipeline_status_template.md · templates/

SKILL.md (first lines)

# Academic Pipeline v3.7.0 — Full Academic Research Workflow Orchestrator

A lightweight orchestrator that manages the complete academic pipeline from research exploration to final manuscript. It does not perform substantive work — it only detects stages, recommends modes, dispatches skills, manages transitions, and tracks state.

**v3.6.3 (opt-in):** Set `ARS_PASSPORT_RESET=1` to promote FULL checkpoints to context-reset boundaries. Use `resume_from_passport=<hash>` in a fresh session to continue from the recorded stage. See [`references/passport_as_reset_boundary.md`](references/passport_as_reset_boundary.md).

**v2.0 Core Improvements**:
1. **Mandatory user confirmation checkpoints** — Each stage completion requires user confirmation before proceeding to the next step
2. **Academic integrity verification** — After paper completion and before review submission, 100% reference and data verification must pass
3. **Two-stage review** — First full review + post-revision focused verification review
4. **Final integrity check** — After revision completion, re-verify all citations and data are 100% correct
5. **Reproducible** — Standardized workflow producing consistent quality assurance each time
6. **Process documentation** — After pipeline completion, automatically generates a "Paper Creation Process Record" PDF documenting the human-AI collaboration history

## Quick Start

**Full workflow (from scratch):**
```
I want to write a research paper on the impact of AI on higher education quality assurance
```
--> academic-pipeline launches, starting from Stage 1 (RESEARCH)

**Mid-entry (existing paper):**
```
I already have a paper, help me review it
```
--> academic-pipeline detects mid-entry, starting from Stage 2.5 (INTEGRITY)

**Revision mode (received reviewer feedback):**
```
I received reviewer comments, help me revise
```
--> academic-pipeline detects, starting from Stage 4 (REVISE)

**Resume from passport (cross-session context reset, opt-in):**
```
resume_from_passport=<hash> [stage=<n>] [mode=<m>]
```
--> Loads the Material Passport (Schema 9), locates the `kind: boundary` entry matching `<hash>`, and confirms it has no later `kind: resume` entry consuming it. If `pending_decision` is set, the decision prompt fires first to capture the user's branch choice for the audit ledger; the prompt is never skipped, even when the user supplies `stage=`. After the prompt (or immediately if no `pending_decision`), the next stage is determined by: (a) `stage=<n>` CLI override if provided, else (b) the matched option's `next_stage`, else (c) the `next` field recorded in the boundary entry. CLI `stage=`/`mode=` overrides win over option routing.
- **Gate (emit)**: `ARS_PASSPORT_RESET=1` must be set in the emitting session. Without the flag, no `kind: boundary` entries are written and there is nothing to resume from.
- **Gate (resume)**: No flag required. Any session can invoke `resume_from_passport=<hash>` against a passport that carries a valid boundary entry matching the hash.
- **Intent**: Invoke in a *fresh* Claude Code session. Resuming within the same session that emitted the boundary provides no token savings and may drop still-live in-session context.
- **Stage**: Any. Resumes at whatever stage the routing rules above determine.
- **Reference**: [`references/passport_as_reset_boundary.md`](references/passport_as_reset_boundary.md) — see §"`resume_from_passport` mode contract".

**Execution flow:**
1. Detect the user's current stage and available materials
2. Recommend the optimal mode for each stage
3. Dispatch the corresponding skill for each stage
4. **After each stage completion, proactively prompt and wait for user confirmation**
5. Track progress throughout; Pipeline Status Dashboard available at any time

---

## Trigger Conditions

### Trigger Keywords

**English**: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow

### Non-Trigger Scenarios

| Scenario | Skill to Use |
|----------|-------------|
| Only need to search materials or do a literature review | `deep-research` |
| Only need to write a paper (no research phase needed) | `academic-paper` |
| Only need to review a paper | `academic-paper-reviewer` |
| Only need to check citation format | `academic-paper` (citation-check mode) |
| Only need to convert paper format | `academic-paper` (format-convert mode) |

### Trigger Exclusions

- If the user only needs a single function (just search materials, just check citations), no pipeline is needed — directly trigger the corresponding skill
- If the user is already using a specific mode of a skill, respect that entry point; the pipeline is opt-in
- The pipeline is optional, not mandatory

---

## Pipeline Stages (10 Stages)

| Stage | Name | Skill / Agent Called | Available Modes | Deliverables |
|-------|------|---------------------|----------------|-------------|
| 1 | RESEARCH | `deep-research` | socratic, full, quick | RQ Brief, Methodology, Bibliography, Synthesis |
| 2 | WRITE | `academic-paper` | plan, full | Paper Draft |
| **2.5** | **INTEGRITY** | **`integrity_verification_agent`** | **pre-review** | **Integrity verification report + corrected paper** |
| 3 | REVIEW | `academic-paper-reviewer` | full (incl. Devil's Advocate) | 5 review reports + Editorial Decision + Revision Roadmap |
| 4 | REVISE | `academic-paper` | revision | Revised Draft, Response to Reviewers |
| **3'** | **RE-REVIEW** | **`academic-paper-reviewer`** | **re-review** | **Verification review report: revision response checklist + residual issues** |
| **4'** | **RE-REVISE** | **`academic-paper`** | **revision** | **Second revised draft (if needed)** |
| **4.5** | **FINAL INTEGRITY** | **`integrity_verification_agent`** | **final-check** | **Final verification report (must achieve 100% pass to proceed)** |
| 5 | FINALIZE | `academic-paper` | format-convert | Final Paper (default MD; DOCX via Pandoc when available, otherwise conversion instructions; ask about LaTeX; confirm correctness; PDF) |
| **6** | **PROCESS SUMMARY** | **orchestrator** | **auto** | **Paper creation process record MD + LaTeX to PDF (bilingual)** |

**Parallelization opportunity (v3.3)**: Within Stage 2, the `academic-paper` skill's Phase 1 (literature_strategist_agent) and the `visualization_agent` can operate in parallel after Phase 2 (structure_architect_agent) completes the outline. Specifically:
- Once the outline includes a visualization plan, `visualization_agent` can begin figure generation
- Simultaneously, `argument_builder_agent` can build CER chains
- `draft_writer_agent` waits for both to complete before beginning Phase 4

This mirrors PaperOrchestra's parallel execution of Plot Generation (Step 2) and Literature Review (Step 3) after Outline (Step 1), which reduces overall pipeline latency. The parallelization is optional — sequential execution remains the default for simplicity.

---

## Pipeline State Machine

1. **Stage 1 RESEARCH** -> user confirmation -> Stage 2
2. **Stage 2 WRITE** -> user confirmation -> Stage 2.5
3. **Stage 2.5 INTEGRITY** -> PASS -> Stage 3 (FAIL -> fix and re-verify, max 3 rounds)
4. **Stage 3 REVIEW** -> Accept -> Stage 4.5 / Minor|Major -> Stage 4 / Reject -> Stage 2 or end
5. **Stage 4 REVISE** -> user confirmation -> Stage 3'
6. **Stage 3' RE-REVIEW** -> Accept|Minor -> Stage 4.5 / Major -> Stage 4'
7. **Stage 4' RE-REVISE** -> user confirmation -> Stage 4.5 (no return to review)
8. **Stage 4.5 FINAL INTEGRITY** -> PASS (zero issues) -> Stage 5 (FAIL -> fix and re-verify)
9. **Stage 5 FINALIZE** -> MD -> DOCX via Pandoc when available (otherwise instructions) -> ask about LaTeX -> confirm -> PDF -> Stage 6
10. **Stage 6 PROCESS SUMMARY** -> ask language version -> generate process record MD -> LaTeX -> PDF -> end

See `references/pipeline_state_machine.md` for complete state transition definitions.

---

From LUNARTECH-X/superpowers, MIT.

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Version
3.7.0
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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academic-pipeline skill. Agent Mart. https://agentmart.dev/skills/lunartech-x-academic-pipeline (last updated 2026-10-24)