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
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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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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Signals
- Stars
- 17
- Forks
- 3
- Open issues
- 0
- Last commit (this folder)
- May 15, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 3.7.0
- License
- MIT
- Repository
- github.com/LUNARTECH-X/superpowers
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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academic-pipeline skill. Agent Mart. https://agentmart.dev/skills/lunartech-x-academic-pipeline (last updated 2026-10-24)