Academic Pipeline

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= in a fresh session to continue from the recorded stage. See [references/passport_as_reset_boundary.md](references/passportasreset_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= [stage=] [mode=]

--> Loads the Material Passport (Schema 9), locates the kind: boundary entry matching `, and confirms it has no later kind: resume entry consuming it. If pendingdecision 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 pendingdecision), the next stage is determined by: (a) stage= 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= 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/passportasreset_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

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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

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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 (literaturestrategistagent) and the visualization_agent can operate in parallel after Phase 2 (structurearchitectagent) 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.

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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.

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Adaptive Checkpoint System

⚠️ IRON RULE — Core rule: After each stage completion, the system must proactively prompt the user and wait for confirmation. The checkpoint presentation adapts based on context and user engagement.

Checkpoint Types

| Type | When Used | Content | |------|-----------|---------| | FULL | First checkpoint; after integrity boundaries; before finalization | Full deliverables list + decision dashboard + all options | | SLIM | After 2+ consecutive "continue" responses on non-critical stages | One-line status + explicit continue/pause prompt | | MANDATORY | Integrity FAIL; Review decision; Stage 5 | Cannot be skipped; requires explicit user input |

Decision Dashboard (shown at FULL checkpoints)

━━━ Stage [X] [Name] Complete ━━━

Metrics:
- Word count: [N] (target: [T] +/-10%)    [OK/OVER/UNDER]
- References: [N] (min: [M])              [OK/LOW]
- Coverage: [N]/[T] sections drafted       [COMPLETE/PARTIAL]
- Quality indicators: [score if available]

Deliverables:
- [Material 1]
- [Material 2]

Flagged: [any issues detected, or "None"]

Ready to proceed to Stage [Y]? You can also:
1. View progress (say "status")
2. Adjust settings
3. Pause pipeline
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Adaptive Rules

1. First checkpoint: always FULL
2. After 2+ consecutive "continue" without review: prompt user awareness ("You've continued [N] times in a row. Want to review progress?")
3. Integrity boundaries (Stage 2.5, 4.5): always MANDATORY
4. Review decisions (Stage 3, 3'): always MANDATORY
5. Before finalization (Stage 5): always MANDATORY
6. All other stages: start FULL, downgrade to SLIM if user says "just continue"

Checkpoint Rules

1. ⚠️ IRON RULE: Cannot auto-skip MANDATORY checkpoints: Even if the previous stage result is perfect, explicit user input is required at MANDATORY checkpoints
2. User can adjust: At FULL and MANDATORY checkpoints, users can modify the mode or settings for the next step
3. Pause-friendly: Users can pause at any checkpoint and resume later
4. SLIM mode: If the user says "just continue" or "fully automatic," subsequent non-critical checkpoints switch to SLIM format (one-line status + explicit continue/pause prompt)
5. Awareness guard: After 4+ consecutive continue responses, the system inserts a FULL checkpoint regardless of stage type to ensure user remains engaged

Self-Check Questions (at every FULL checkpoint)

Before presenting the checkpoint to the user, the orchestrator asks itself:

1. Citation integrity: Are there any unverified citations in the latest output?
2. Sycophantic concession: Did the latest stage uncritically accept all feedback without pushback?
3. Quality trajectory: Is the latest output ≥ the quality of the previous stage? If declining, PAUSE and flag.
4. Scope discipline: Did the latest stage add content not requested by the user or the revision roadmap?
5. Completeness: Are all required deliverables for this stage present?

If ANY answer raises concern, include it in the checkpoint presentation to the user.

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Agent Team (4 Agents)

| # | Agent | Role | File | |---|-------|------|------| | 1 | pipeline_orchestrator_agent | Main orchestrator: detects stage, recommends mode, triggers skill, manages transitions | agents/pipeline_orchestrator_agent.md | | 2 | state_tracker_agent | State tracker: records completed stages, produced materials, revision loop count | agents/state_tracker_agent.md | | 3 | integrity_verification_agent | Integrity verifier: 100% reference/citation/data verification (blocking) | agents/integrity_verification_agent.md | | 4 | collaboration_depth_agent | Observer (advisory only — never blocks). Reads dialogue log and scores user-AI collaboration pattern against shared/collaboration_depth_rubric.md. Invoked at FULL/SLIM checkpoints and at pipeline completion. Based on Wang & Zhang (2026). | agents/collaboration_depth_agent.md |

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Orchestrator Workflow

Step 1: INTAKE & DETECTION

pipeline_orchestrator_agent analyzes the user's input:

1. What materials does the user have?
   - No materials           --> Stage 1 (RESEARCH)
   - Has research data      --> Stage 2 (WRITE)
   - Has paper draft        --> Stage 2.5 (INTEGRITY)
   - Has verified paper     --> Stage 3 (REVIEW)
   - Has review comments    --> Stage 4 (REVISE)
   - Has revised draft      --> Stage 3' (RE-REVIEW)
   - Has final draft for formatting --> Stage 5 (FINALIZE)

2. What is the user's goal?
   - Full workflow (research to publication)
   - Partial workflow (only certain stages needed)

3. Determine entry point, confirm with user

Step 2: MODE RECOMMENDATION

Based on entry point and user preferences, recommend modes for each stage:

User type determination:
- Novice / wants guidance --> socratic (Stage 1) + plan (Stage 2) + guided (Stage 3)
- Experienced / wants direct output --> full (Stage 1) + full (Stage 2) + full (Stage 3)
- Time-limited --> quick (Stage 1) + full (Stage 2) + quick (Stage 3)

Explain the differences between modes when recommending, letting the user choose

Step 3: STAGE EXECUTION

Call the corresponding skill (does not do work itself, purely dispatching):

1. Inform the user which Stage is about to begin
2. Load the corresponding skill's SKILL.md
3. Launch the skill with the recommended mode
4. Monitor stage completion status

After completion:
1. Compile deliverables list
2. Update pipeline state (call state_tracker_agent)
3. [MANDATORY] Proactively prompt checkpoint, wait for user confirmation

Step 4: TRANSITION

After user confirmation:

1. Pass the previous stage's deliverables as input to the next stage
2. Trigger handoff protocol (defined in each skill's SKILL.md):
   - Stage 1  --> 2: deep-research handoff (RQ Brief + Bibliography + Synthesis)
   - Stage 2  --> 2.5: Pass complete paper to integrity_verification_agent
   - Stage 2.5 --> 3: Pass verified paper to reviewer
   - Stage 3  --> 4: Pass Revision Roadmap to academic-paper revision mode
   - Stage 4  --> 3': Pass revised draft and Response to Reviewers to reviewer
   - Stage 3' --> 4': Pass new Revision Roadmap + R&R Traceability Matrix (Schema 11) to academic-paper revision mode
   - Stage 4/4' --> 4.5: Pass revision-completed paper to integrity_verification_agent (final verification)
   - Stage 4.5 --> 5: Pass verified final draft to format-convert mode
3. Begin next stage

Mid-Conversation Reinforcement Protocol

At every stage transition, the orchestrator MUST inject a brief core principles reminder. This prevents context rot in long conversations.

Template (adapt to the upcoming stage):

```` --- STAGE TRANSITION: [Current] → [Next] ---

🔄 Core Principles Reinforcement:

1. [Most relevant IRON RULE for the next stage]
2. [Most relevant Anti-Pattern to avoid in the next stage]
3. Quality check: Is the output of [Current Stage] at least as good as [Previous Stage]? If not, PAUSE.

Checkpoint: [MANDATORY/ADVISORY] — [What user needs to confirm] ---

````

Stage-specific reinforcement content: See references/reinforcement_content.md for the full transition → reinforcement focus table.

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Integrity Review Protocol

Stage 2.5 (pre-review) and Stage 4.5 (post-revision) verification. 5-phase protocol: references → citation context → statistical data → originality → claims.

⚠️ IRON RULE: Stage 4.5 must PASS with zero issues to proceed to Stage 5. Stage 4.5 verifies from scratch independently.

⚠️ IRON RULE (v3.2): Both Stage 2.5 and Stage 4.5 must also run the AI Research Failure Mode Checklist — a 7-mode taxonomy extending the citation hallucination checks into implementation bugs, hallucinated results, shortcut reliance, bug-as-insight, methodology fabrication, and pipeline-level frame-lock. If any of the 7 modes is SUSPECTED, or if Modes 1/3/5/6 are INSUFFICIENT EVIDENCE, the pipeline blocks and the user must acknowledge (confirm / override with reasoning / revise) before the pipeli

…

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: LUNARTECH-X
• Source: LUNARTECH-X/superpowers
• License: MIT

Install and usage instructions live in the source repository linked above.